Google Explains Expired Domains And Ranking Issues via @sejournal, @martinibuster

Google’s John Mueller answered a question about an expired domain that was unable to rank for relevant search queries, including its own brand name. The answer sheds light on how expired domains are handled by Google after they are re-registered.

History Of Expired Domains And SEO

Buying expired domains for their link profiles was a quick way to rank a website about 25 years ago. In those days, it was possible to see the PageRank associated with a domain through Google’s browser toolbar. If the domain was penalized, the PageRank meter would show this with a completely zeroed-out PageRank value. Thus, an SEO could buy an expired domain, regardless of the topic associated with it, point it to their website, and experience a boost in PageRank and rankings.

The expired domain effect was not limited to actual expired domains. A little-known loophole was that links to non-existent domain names could also contain PageRank. For example, many SEO forums used to link to domains like example-domain.com during the course of their discussions. SEOs would purchase those domains and experience the benefit of the PageRank from all the websites linking to that domain.

Another related tactic was to crawl .edu and .org websites to identify domain name misspellings in (broken) links to external websites, register those domains, and within hours a site would have inbound links from authoritative web pages.

The expired domain loophole came to an end in the early 2000s after Google introduced domain PageRank resets. Interestingly, the domain reset also affected domain misspellings that had never been registered. So even that secret loophole was closed.

Google’s John Mueller, in his answer, seemed to provide some information about how the domain name reset works. Mueller specifically referred to the state of being a parked domain and then having that status removed internally within Google.

Expired Domain Is Not Ranking

A person posted about their expired domain issue on the SEO subreddit (r/SEO). They explained that they had recently launched a new website on an expired domain, and it was having trouble ranking for keywords, including its own branded keywords.

They explained:

“I launched a brand-new website on a new domain, everything looks solid:

Indexed in Google (shows up with site:domain).

No errors in Search Console.

Sitemap and robots.txt are clean.

Here’s the strange part: the site refuses to appear in SERPs for even the most basic branded queries. Not ranking for generic terms is one thing, but not showing up at all for my own company name (let’s call it Octigen GmbH)? That feels really odd.

Now, here’s the twist: this domain used to belong to a completely different company (also called Octigen) that went bust years ago. Old links still exist in forums, ecommerce sites, etc. I’m wondering if the domain’s past life could be holding it back — like a reputation penalty or some kind of lingering Google baggage.”

The person then asked the following questions:

  • “Can an old domain history actively suppress visibility, even if it’s re-verified, re-indexed, and fully rebuilt?
  • Is there a way to “reset” a domain’s reputation, or am I better off cutting losses and starting fresh?”

It Takes Time To “Shake Off” Old State Of Domain

Mueller answers the question with a reference to shaking off the previous “state” of a domain, which he describes as being unregistered or parked. Those are two different states of a domain.

Unregistered means that there’s nothing at a domain; it’s not registered by anyone, and it basically doesn’t exist, even if the domain was previously registered but now is not.

A parked domain means that the domain is registered and the DNS is pointing to a holding page, maybe even showing some advertising.

Mueller said it takes time for the state of that domain to change within Google:

“Sometimes it just takes a lot of time for the old state of a domain to be shaken off (sometimes that’s also the case when it was parked for a while), and the site to be treated like something new / independent.”

Expired Domain Name Reset

What Mueller is talking about sounds a lot like what we used to talk about over twenty years ago: an expired domain reset. The ways in which Google treats domains may have changed since then, so what Mueller is talking about could be related to a different process, like understanding where a site fits on the Internet.

Could this mean that a domain “state,” such as parked or expired, results in some kind of index notation at Google?

Mueller continued his answer by saying there’s nothing he can do to manually indicate the domain’s state has changed:

“There’s nothing manual that you can / need to do here.”

But he did recommend checking Search Console to make sure there are no penalties associated with the site:

“I would double-check in Search Console to make sure that there are no URL removal requests pending, and that there’s nothing in the manual actions section, but I’m guessing you already did that.”

What To Do If An Expired Domain Is Not Ranking?

At this point, most SEOs would not like to be told to sit tight and wait for Google to discover a new website. The natural inclination would be to increase natural links to a website and other promotional activities. Short of link building, that’s what Mueller advised.

He wrote:

“My suggestion for you specifically would be to keep using it, and to try to grow your visibility on other channels in the meantime. For example, it looks like you’re findable via your Linkedin page, which links to your domain name. If you’re active on Linkedin, and using that wisely to reference your domain, users can find it that way.

Similarly, you could be active in other places, such as YouTube or other social media sites (The YT video for your company name is currently on a private profile, which can be ok, but which you could also do on a company-branded profile. Or, of course, a Reddit profile)

In short, make it easy for people to find your content regardless of location when they search for it, especially for your company name. From there, expanding to the kinds of searches that could lead users who don’t yet know your company to your content, would be the next step — and even there it’s useful to be active on various platforms.”

Expired Domains Can Be Tricky

It’s clear that expired domains have, in the past, gone through a reset process where the link equity of a domain drops off and the domain essentially starts at position zero.

Google’s ranking algorithms can give a new site a temporary ranking boost. That makes it difficult to say with certainty whether a website with an expired domain is ranking because of the residual effects from the domain or because of Google’s new site ranking boost.

What’s important to keep in mind is that promoting a new website is essential, regardless of whether it’s built on an expired domain or one that’s never been registered.

Featured Image by Shutterstock/Andrii Iemelianenko

The Impact Of AI Overviews & How Publishers Need To Adapt via @sejournal, @MattGSouthern

Google rolled out AI Overviews to all U.S. users in May 2024. Since then, publishers have reported significant traffic losses, with some seeing click-through rates drop by as much as 89%. The question isn’t whether AI Overviews impact traffic, but how much damage they’re doing to specific content types.

Search (including Google Discover and traditional Google Search) consistently accounts for between 20% and 40% of referral traffic to most major publishers, making it their largest external traffic source. When DMG Media, which owns MailOnline and Metro, reports nearly 90% declines for certain searches, it’s a stark warning for traditional publishing.

After more than a year of AI Overviews (and Search Generative Experience), we have extensive data from publishers, researchers, and industry analysts. This article pulls together findings from multiple studies covering hundreds of thousands of keywords, tens of thousands of user searches, and real-world publisher experiences.

The evidence spans from Pew Research’s 46% average decline to DMG Media’s 89% worst-case scenarios. Educational platforms like Chegg report a 49% decline. But branded searches are actually increasing for some, suggesting there are survival strategies for those who adapt.

This article explains what’s really happening and why, including the types of content that face the biggest changes and which are staying relatively stable. You’ll understand why Google says clicks are “higher quality” even as publishers see traffic declines, and you’ll see what changes might make sense based on real data rather than guesses.

AI Overviews are the biggest change to search since featured snippets were introduced in 2014. They’re affecting the kinds of content publishers produce, and they’re increasing zero-click searches, which now make up 69% of all queries, according to Similarweb.

Whether your business relies on search traffic or you’re just watching industry trends, these patterns are significantly impacting digital marketing.

What we’re seeing is a new era in search and a change that is reshaping how online information is shared and how users interact with it.

AI Overview Studies: The Overwhelming Evidence

Google’s AI Overviews (AIO) have impacted traffic across most verticals and altered search behavior.

The feature, which was first introduced as Search Generative Experience (SGE) announced at Google I/O in May 2023, now appears in over 200 countries and 40 languages following a May 2025 expansion.

Independent research conducted throughout 2024 and 2025 shows click-through rate reductions ranging from 34% to 46% when AI summaries appear on search results pages.

Evidence from a variety of independent studies outlines the impact of AIO and shows a range of effects depending on the type of content and how it’s measured:

Reduced Click Through Rates – Pew Research Center

A study by Pew Research Center provides a rigorous analysis. By tracking 68,000 real search queries, researchers found that users clicked on results 8% of the time when AI summaries appeared, compared to 15% without them. That’s a 46.7% relative reduction.

Pew’s study tracked actual user behavior, rather than relying on estimates or keyword tools, validating publisher concerns.

Google questioned Pew’s methodology, claiming that the analysis period overlapped with algorithm testing unrelated to AI Overviews. However, the decline and its connection to AI Overview presence suggest a notable relationship, even if other factors played a role.

Position One Eroded – Ahrefs

Ahrefs’ analysis found that position one click-through rates dropped for informational keywords triggering AI Overviews.

Ryan Law, Director of Content Marketing at Ahrefs, stated on LinkedIn:

“AI Overviews reduce clicks by 34.5%. Google says being featured in an AI Overview leads to higher click-through rates… Logic disagrees, and now, so does our data.”

Law’s observation gets to the heart of a major contradiction: Google says appearing in AI Overviews helps publishers, but the math of fewer clicks suggests this is just corporate doublespeak to appease content creators.

His post garnered over 8,200 reactions, indicating widespread industry agreement with these findings.

More Zero-Click Searches – Similarweb

According to Similarweb data, zero-click searches increased from 56% to 69% between May 2024 and May 2025. While this captures trends beyond AI Overviews, the timing aligns with the rollout.

Zero-click searches work because they meet user needs. For example, when someone searches for “weather today” or a stock price, getting an instant answer without clicking is helpful. The issue comes when zero-click searches creep into areas where publishers used to offer in-depth content.

Stuart Forrest, global director of SEO digital publishing at Bauer Media, confirms the trend, telling the BBC:

“We’re definitely moving into the era of lower clicks and lower referral traffic for publishers.”

Forrest’s admitting to this new reality shows that the industry as a whole is coming to terms with the end of the golden age of search traffic. Not with a dramatic impact, but with a steady decline in clicks as AI meets users’ needs before they ever leave Google’s ecosystem.

Search Traffic Decline – Digital Content Next

An analysis by Digital Content Next found a 10% overall search traffic decline among member publishers between May and June.

Although modest compared to DMG’s worst-case scenarios, this represents millions of lost visits across major publishers.

AIO Placement Volatility – Authoritas

An Authoritas report finds that AI Overview placements are more volatile than organic ones. Over a two- to three-month period, about 70% of the pages cited in AI Overviews changed, and these changes weren’t linked to traditional organic rankings.

This volatility is why some sites experience sudden traffic drops even when their blue-link rankings seem stable.

Click-Based Economy Collapse For News Publishers – DMG Media

A statement from DMG Media to the UK’s Competition and Markets Authority reveals click-through rates dropped by as much as 89% when AI Overviews appeared for their content.

Although this figure represents a worst-case scenario rather than an average, it highlights the potential for traffic losses for certain search types.

Additionally, there are differences in how AI Overviews affect click-through rates depending on the device type.

The Daily Mail’s desktop CTR dropped from 25.23% to 2.79% when an AI Overview surfaced above a visible link (-89%), with mobile traffic declining by 87%; U.S. figures were similar.

These numbers indicate we’re facing more than just a temporary adjustment period. We’re witnessing a structural collapse of the click-based economy that has supported digital publishing since the early 2000s. With traffic declines approaching 90%, we’ve gone beyond optimization tactics and into existential crisis mode territory.

The submission to regulatory authorities suggests they’re confident in these numbers, despite their magnitude.

Educational Site Disruption – Chegg

Educational platforms are experiencing disruption from AI Overviews.

Learning platform Chegg reported a 49% decline in non-subscriber traffic between January 2024 and January 2025 in company statements accompanying their February antitrust lawsuit.

The decline coincided with AI Overviews answering homework and study questions that previously drove traffic to educational sites. Chegg’s lawsuit alleges that Google used content from educational publishers to train AI systems that now compete directly with those publishers.

Chegg’s case is a warning sign for educational content creators: If AI systems can successfully replace structured learning platforms, what’s the future for smaller publishers?

Reduced Visibility For Top Ranking Sites – Advanced Web Ranking

AI Overviews are dense and tall, impacting the visibility of organic results.

Advanced Web Ranking found that across 8,000 keywords, AI Overviews average around 169 words and include about seven links when expanded.

Once expanded, the first organic result often appears about 1,674px down the page. That’s well below the fold on most screens, reducing visibility for even top-ranked pages.

Branded Searches: The Surprising Exception

While most query types are seeing traffic declines, branded searches show the opposite trend. According to Amsive’s research, branded queries with AI Overviews see an 18% increase in click-through rate.

Several related factors likely contribute to this brand advantage. When AI Overviews mention specific brands, it conveys authority and credibility in ways that generic content can’t replicate.

People seeing their preferred brand in an AI Overview may be more likely to click through to the official site. Additionally, AI Overviews for branded searches often include rich information like store hours, contact details, and direct links, making it easier for users to find what they need.

This pattern has strategic implications as companies that have invested in brand building have a strong defense against AI disruption. The 18% increase in branded terms versus a 34-46% decrease in generic terms (as shown above) creates a performance gap that will likely impact marketing budgets.

The brand advantage extends beyond direct brand searches. Queries combining brand names with product categories show smaller traffic declines than purely generic searches. This suggests that even partial brand recognition provides some protection against AI Overview disruption. Companies with strong brands can leverage this by ensuring their brand appears naturally in relevant conversations and content.

This brand premium creates a two-tier internet, where established brands flourish while smaller content creators struggle financially. The impact on information diversity and market competition is troubling.

Google’s Defense: Stable Traffic, Better Quality

Google maintains a consistent three-part defense of AI Overviews:

  • Increased search usage.
  • Improved click quality.
  • Stable overall traffic.

The company frames AI Overviews as enhancing rather than replacing traditional search, though this narrative faces increasing skepticism from publishers experiencing traffic declines.

The company’s blog post from May, introducing the global expansion, stated:

“AI Overviews is driving over 10% increase in usage of Google for the types of queries that show AI Overviews. This means that once people use AI Overviews, they are coming to do more of these types of queries.”

Although this statistic shows a rise in Google Search engagement, it’s sparked intense debate and skepticism in the search and publishing worlds. Many experts agree that a 10% boost in AI Overview-driven searches could be due to changes in user behavior, but also warn that higher search volumes don’t automatically mean more traffic for content publishers.

A number of LinkedIn industry voices have publicly pushed back on Google’s 10% usage increase narrative. For example, Devansh Parashar writes:

“Google’s claim that AI Overviews have driven 10% more searches masks a troubling trend. Data from independent research firms, such as Pew, show that a majority of users do not click beyond the AI Overview— a figure that suggests Google’s LLM layer is quietly eating the web’s traffic pie.”

Similarly, Trevin Shirey points out concerns about the gap between increased engagement with search queries and the actual traffic publishers see:

“Although Google reports a surge in usage, many publishers are experiencing declines in organic click-through rates. This signals a silent crisis where users get quick answers from AI, but publishers are left behind.”

Google’s claim about increased usage needs to be read carefully. The increase is only for certain types of queries that show AI overviews, not overall search volume.

If users have to make multiple searches to find information they could have gotten in one click, their overall usage might go up, but their satisfaction could actually decrease.

In an August blog post, Google’s head of search, Liz Reid, claimed the volume of clicks from Google search to websites had been “relatively stable” year-over-year.

Reid also asserted that click quality had improved:

“With AI Overviews, people are searching more and asking new questions that are often longer and more complex. In addition, with AI Overviews people are seeing more links on the page than before. More queries and more links mean more opportunities for websites to surface and get clicked.”

A Google spokesperson told the BBC:

“More than any other company, Google prioritises sending traffic to the web, and we continue to send billions of clicks to websites every day.”

Google’s developer documentation states:

“We’ve seen that when people click from search results pages with AI Overviews, these clicks are higher quality (meaning, users are more likely to spend more time on the site).”

Publishers are understandably concerned and question the differences between Google’s description of stability and the actual data showing otherwise.

Jason Kint, CEO of Digital Content Next, notes:

“Since Google rolled out AI Overviews in your search results, median year-over-year referral traffic from Google Search to premium publishers down 10%.”

Kint’s data shatters Google’s carefully crafted image of stability, exposing what many publishers already suspect: The search giant’s promises are increasingly at odds with the realities reflected in their analytics dashboards and revenue reports.

The argument that higher-quality clicks are more valuable doesn’t provide much comfort when revenue is falling short. Even if engagement increases, losing such a large portion of clicks is a serious challenge for many ad-supported businesses.

Echoing these concerns, SEO Lead Jeff Domansky states:

“For publishers, AI Overviews are a direct hit to traffic and revenue models built around clicks and pageviews.”

Although Google claims that AI Overview clicks are of higher quality, many industry experts are skeptical.

Lily Ray, Vice President, SEO Strategy & Research at Amsive, highlights the lack of quality control on Google’s end:

“Since Google’s AI Overviews were launched, I (and many others) have shared dozens of examples of spam, misinformation, and inaccurate, biased, or incomplete results appearing in live AI Overview responses.”

And SEO specialist Barry Adams raises concerns about the quality and sustainability:

“Google’s AI Overviews are terrible at quoting the right sources… There is nothing intelligent about LLMs. They’re advanced word predictors, and using them for any purpose that requires a basis in verifiable facts – like search queries – is fundamentally wrong.”

Adams highlights a philosophical contradiction in AI Overviews: By relying on probabilistic language models to answer factual questions, Google may be misaligning technology with user needs.

This range of voices highlights a growing disconnect between Google’s hopeful engagement claims and the tough realities many publishers are facing as their referral traffic and revenue decrease.

Google hasn’t provided specific metrics defining “higher quality.” Publishers can’t verify these claims without access to comparative engagement data from AI Overview versus traditional search traffic.

Legal Challenges Mount

Publishers are seeking relief through regulatory and legal channels. In July, the Independent Publishers Alliance, tech justice nonprofit Foxglove, and the campaign group Movement for an Open Web filed a complaint with the UK’s Competition and Markets Authority. They claim that Google AI Overviews misuse publisher content, causing harm to newspapers.

The complaint urges the CMA to impose temporary measures that prevent Google from using publisher content in AI-generated responses without compensation.

It’s still unclear whether courts and regulators, which often move at a slow pace, can take action quickly enough to help publishers before market forces make any potential solutions irrelevant. A classic example of regulation trying to keep up with technological advancements.

The rapid growth of AI Overviews suggests that market realities may outstrip legal solutions.

Publisher Adaptations: Beyond Google Dependence

With threats looming, publishers are rushing to cut their reliance on Google. David Higgerson shares Reach’s approach in a statement to the BBC:

“We need to go and find where audiences are elsewhere and build relationships with them there. We’ve got millions of people who receive our alerts on WhatsApp. We’ve built newsletters.”

Instead of creating content for Google discovery, publishers need to develop direct relationships. Email newsletters, mobile apps, and podcast subscriptions provide traffic sources that aren’t affected by AI Overview disruptions.

Stuart Forrest stresses the importance of quality as a key differentiator:

“We need to make sure that it’s us being cited and not our rivals. Things like writing good quality content… it’s amazing the number of publishers that just give up on that.”

However, quality alone may not be enough if users never leave Google’s search results page. Publishers also need to master AI Overview optimization and understand how to make the most of remaining click opportunities.

Higgerson notes:

“Google doesn’t give us a manual on how to do it. We have to run tests and optimise copy in a way that doesn’t damage the primary purpose of the content.”

Another path that’s emerging is content licensing. Following News Corp and The Atlantic partnering with OpenAI, more publishers are exploring direct licensing relationships. These deals typically provide upfront payments and ongoing royalties for content usage in AI training, though terms remain confidential.

What We Don’t Know

There are still many uncertainties. The long-term trajectory of AI Mode, for example, could alter current patterns.

AI Mode

Google’s AI Mode may pose an even bigger threat than AI Overviews. This new interface displays search results in a conversational format instead of 10 blue links. Searchers have a back-and-forth with AI, with occasional reference links thrown in.

For publishers already struggling with AI-powered overviews, AI Mode could wipe out the rest of their traffic.

International Impact

The international effects outside English-language markets remain unmeasured. Since AI Overviews are available in over 200 countries and 40 languages, the impact likely varies by market. Factors like cultural differences in search behavior, language complexity, local competition dynamics, and varying digital literacy levels could lead to vastly different outcomes.

Most current research focuses on English-language markets in developed economies.

Content Creation

The feedback loop between AI Overviews and content creation could reshape what content gets produced and how information flows online.

If publishers stop creating certain types of content due to traffic losses, will AI Overview quality suffer as training data becomes stale?

Looking Ahead: Expanded AI Features

Google intends to continue expanding AI features despite mounting publisher concerns and legal challenges.

The company’s roadmap includes AI Mode international expansion and enhanced interactive features, including voice-activated AI conversations and multi-turn query refinement. Publishers should prepare for continued evolution rather than expecting stability in search traffic patterns.

Regulatory intervention may force greater transparency in the coming months. The Independent Publishers Alliance’s EU complaint requests detailed impact assessments and content usage documentation.

These proceedings could establish precedents affecting how AI systems can use publisher content.

Final Thoughts

The question isn’t whether AI Overviews affect traffic. Evidence overwhelmingly confirms they do. The question is how publishers adapt business models while maintaining sustainable operations.

The web is at a turning point, where the core agreement is being rewritten by the platforms that once promoted the open internet. Publishers who don’t acknowledge this change are jeopardizing their relevance in an AI-driven future.

Those who understand the impact, invest in brand building, and diversify traffic sources will be best positioned for success.

More Resources:


Featured Image: Roman Samborskyi/Shutterstock

Why Reddit Is Driving The Conversation In AI Search – User Journey Over Short Tail via @sejournal, @brentcsutoras

The How AI Search Can Drive Sales & Boost Conversions webinar, presented recently by Bartosz Góralewicz, touched on something that I think every marketer needs to understand about how people actually make decisions today.

This isn’t just about Reddit anymore; we’re talking about the future of how brands actually connect with customers when they’re making real decisions.

Image from author, September 2025

Bartosz shared some data from Cloudflare that’s wild: 10 years ago, Google crawled two pages for every one click. Six months ago? Six pages per click. Today, it’s 18 pages for every single click! OpenAI is crawling 1,500 pages for each click they send. And get this, in 2024, 60% of Google searches ended in zero clicks, as LLMs increasingly serve answers directly on the page, according to Justin Turner, Head of Thought Leadership at Reddit.

As Bartosz put it, quoting Cloudflare’s CEO: “People trust AI more and they’re just not following the footnotes anymore.”

But here’s what everyone’s missing: Reddit is just the messenger.

What Reddit Really Shows Us

Reddit appears in nearly 98% of product review searches because it’s solving a problem that traditional marketing content can’t touch. When someone searches “iPhone 16 vs Samsung S25,” they’ll find millions of YouTube views but almost no traditional search volume data.

The conversation is happening, just not where we’ve been looking. Turner’s research shows Reddit is the No. 1 most cited domain across all major AI platforms, accounting for 3.5% of all citations across AI models, nearly three times more than Wikipedia.

What Reddit provides, and what Google and OpenAI are paying for, is authentic peer advice instead of corporate marketing messages. Users want to feel understood, not sold to. They want contextual advice that feels like someone actually gets their specific problem.

As Bartosz explained it, when someone is researching a car, they don’t want to hear from paid bloggers. They want to talk to someone who actually drives the thing every day and can tell them the radio breaks 11 times in the first year. That’s the stuff you won’t find on the company website.

The Real Journey People Take

During our webinar, Bartosz walked through this perfect example from his own experience. He bought a wool carpet, discovered he couldn’t use his Dyson on it (voids the warranty), and now needed a suction-only vacuum.

Image from author, September 2025

Bartosz showed how this creates a progression that most marketers never see:

  • Stage 1: “Why can’t I use Dyson on wool carpet?”
  • Stage 2: “Suction only vacuums for wool carpets”
  • Stage 3: “Miele C1 suction only vacuum safe”

Each answer informs the next question. As Bartosz explained, understanding this progression isn’t just about Reddit; it’s about understanding how people actually think and research!

The thing is, sometimes, this entire customer journey condenses into one perfect answer. Bartosz showed us how, when someone asked, “Why is it bad to use Dyson on wool carpet?” Perplexity immediately recommended Miele as the solution. One conversation, massive conversion potential.

But as Bartosz emphasized, you can’t manufacture this by guessing. You have to listen to actual conversations and understand the real problems people are trying to solve. This is exactly why he created ZipTie.ai, to help brands identify those critical moments in customer conversations where they can genuinely solve problems rather than just promote products.

And here’s proof that this approach actually works: Turner’s data shows users referred from ChatGPT view 42% more pages per session than those referred from Google, showing more intent, deeper curiosity, and stronger engagement.

Why This Changes Everything

I’ve been looking for this shift in marketing for years, waiting for it to come back to the actual science behind why people make decisions. The funnel is longer now, people are using more places along the way, and when you can find what people really need, honestly, content really is king again. But not content for content’s sake, problem-solving is all you really need.

Bartosz’s Miele example shows something that’s often overlooked. You wouldn’t see this in your regular website data or in traditional Google articles. It’s not visible to most brands because we’re so conditioned to look down this logical marketing path that we miss the conversations happening right in front of us.

We started seeing it more clearly when people began giving us signals by writing on Reddit. Why are they doing that? Because they want validation. When you give them that validation through genuine problem-solving, it works!

The New Success Metrics

Bartosz talked about how we need to stop chasing old metrics. Rankings, clicks, and keywords still matter, but they’re not the whole story anymore.

Image from author, September 2025

As he put it, here’s what actually matters now:

  • Are you the recommended solution throughout the customer journey?
  • Do you show contextual relevance that makes users feel understood?
  • Can you track your influence through actual conversion paths?

As Bartosz said, “The teams that are going to win nowadays are going to be the teams that are going to solve the most amount, the biggest amount of problems that users have.”

The Authenticity Problem

To be authentic, you have to talk about positives and negatives. The biggest challenge I have in discovery calls with huge brands is that they tell me, “we cannot say we don’t do this or we don’t do this.”

But that’s exactly what you need to do!

I always tell people Reddit success comes down to three overlapping areas: what Redditors expect from you, what you honestly have to give, and where your business goals align. That overlap is your area of influence.

A TikTok campaign I did years ago started with 300 messages telling me to basically get lost (wasn’t as kind though). But once people realized we were real humans having real conversations, everything changed. People started editing their posts, sending improvement ideas, giving us awards.

That’s the power of authentic engagement.

The Psychology Behind It All

People want to share every decision they make with somebody because it’s our nature to want to share responsibility. It’s a way of validating that we’re not total idiots; we at least explored the conversation. “I talked to my friend John and he said it was a good phone.”

But there’s more to it than just sharing responsibility. We’re also looking for validation that someone has actually experienced the issue, product, or service we’re researching and has real information to share about it.1 We want to hear from people who’ve been there, not from someone reading a spec sheet or writing content that’s been paid for, influenced, or even completely faked. There’s so little trust in traditional search results anymore because we know so much of what we find is compromised.

Also, we rarely have the right problem when we start searching. We think we need “the best vacuum” when what we really need is “a vacuum that won’t destroy my wool carpet.” It takes conversation and depth to uncover what the real problem actually is. That’s why those Reddit threads go so deep: People are working through layers of issues together.

Most importantly, we want to feel like we learned enough to come to our own decision. We don’t want someone to tell us what to buy; we want to feel smart about figuring it out ourselves with good information from people we trust.2

I’ve been talking about these concepts a lot lately, but this isn’t just my personal theory. This behavior is extensively researched across psychology, behavioral economics, and decision science. Studies consistently show that people actively seek to share decision responsibility to reduce regret and minimize the psychological burden of negative outcomes. Research demonstrates that individuals are more likely to join groups or seek validation after experiencing negative results, and that sharing responsibility helps shield people from the emotional consequences of bad decisions.

What This Means Going Forward

This approach works because it aligns with human psychology. When you understand that core element, solving users’ real problems, everything gets better. Your commercials, website copy, social media ads, customer service. Everything improves when you know what people actually need to feel comfortable making a decision.

Reddit just happens to be where these conversations are most visible right now. But the principles apply everywhere: Understand the real problems, join authentic conversations, and focus on solving issues rather than promoting solutions.

The brands that figure this out first will own the next phase of digital marketing. The ones that keep chasing traditional metrics will keep wondering why their traffic is declining while their competitors seem to effortlessly show up everywhere that matters.

Definitely, definitely take the time to understand your user’s journey. Don’t be lazy about it. Really understand what people need at each stage, what problems they’re actually trying to solve, and where they go to get that validation they need to make decisions.

It’s not complicated, but it requires you to slow down and actually listen to your customers instead of talking at them.

Sources:

  1. https://academic.oup.com/jcr/article-abstract/51/1/7/7672991?login=false
  2. https://acr-journal.com/article/consumer-trust-in-digital-brands-the-role-of-transparency-and-ethical-marketing-882/
  3. https://www.linkedin.com/pulse/convergence-product-marketing-seo-ai-search-era-ziptieai-aotnc/

More Resources:


Featured Image: Accogliente Design/Shutterstock

When Agents Replace Websites via @sejournal, @DuaneForrester

Let’s talk about an agentic future. As task-completing agents move from concept to adoption, their impact on how we discover and transact online will be significant. Websites won’t vanish, but in many cases, their utility will shrink as agents become the new intermediary layer between people and answers. Domains will still exist, but their value as discovery assets is likely to erode. Building and maintaining a site will increasingly mean structuring it for agents to retrieve from, not just for people to browse, and the idea of domains appreciating as scarce assets will feel less connected to how discovery actually happens.

The growth trajectory for AI agents is already clear in the data. Grand View Research valued the global AI agents market at USD 5.40 billion in 2024, with forecasts reaching USD 50.31 billion by 2030 at an annual growth rate of about 45.8%. Regionally, the Asia-Pacific market was USD 1.30 billion in 2024 and is projected to expand to USD 14.15 billion by 2030, with China alone expected to grow from USD 402.6 million to USD 3.98 billion over the same period. Europe is following a similar path, climbing from USD 1.32 billion in 2024 to USD 11.49 billion by 2030. Longer-term, Precedence Research projects the global agentic AI market will rise from USD 7.55 billion in 2025 to nearly USD 199.05 billion by 2034, a compound growth rate of 43.84%. These forecasts from multiple regions show a consistent global pattern: adoption is accelerating everywhere, and the shift toward agentic systems is not theoretical; it is underway. These figures are about task-completing agents, not casual chat use.

Image Credit: Duane Forrester

Do We Still Need Websites In An Agentic World?

It’s easy to forget how limited the internet felt in the 1990s. On AOL, you didn’t browse the web the way we think of it today. You navigated keywords. One word dropped you into chat rooms, news channels, or branded content. The open web was technically out there, but for most people, America Online WAS the internet.

That closed-garden model eventually gave way to the open web. Domains became navigation anchors. Owning a clean .com or a trusted extension like .org or .gov signaled legitimacy. Websites evolved into the front doors of digital identity, where brand credibility and consumer trust were built. Search rankings reinforced this. An exact-match domain once boosted visibility, and later the concept of “domain authority” helped indicate who showed up at the top of search results. For nearly three decades, websites have been the central hub of digital discovery and transactions.

But we may be circling back. Only this time, the keyword is no longer “AOL Keyword: Pizza Hut.” It’s your natural-language intent: “Book me a flight,” “Order flowers,” “Find me a dentist nearby.” And instead of AOL, the gatekeepers are LLMs and agentic systems.

From Navigation To Answers

The rise of agentic systems collapses the journey we’ve been used to. Where discovery once meant search, scanning results, clicking a domain, and navigating a site, it now means describing your intent and letting the system do the rest. You don’t need Expedia or United.com if your agent confirms your flight. You don’t need to touch OpenTable’s site if a reservation is placed automatically for tomorrow night. You don’t need to sift through Nike’s catalog if new running shoes just arrive at your door.

In this flow, the answer layer replaces the click, the task layer replaces the browsing session, and the source itself becomes invisible. The consumer no longer cares which site delivered the data or handled the transaction, as long as the result is correct.

Proof In Practice: WeChat

This shift isn’t hypothetical. In China, it’s already happening at scale. WeChat introduced Mini-Programs in 2017 as “apps within an app,” designed so users never need to leave the WeChat environment. By 2024, they had become mainstream: Recent reports suggest there are between 3.9 and 4.3 million WeChat Mini-Programs in the ecosystem today. (3.9m source4.3m source), with over 900 million monthly active users. And while Mini-Programs are closer to apps than actual AIs, it’s all about task completion and consumers adopting layers of task completion.

In food and beverage and hospitality, over 80% of top chain restaurants now run ordering or take-out flows directly through Mini-Programs, meaning customers never touch a separate website. International brands often prioritize Mini-Programs as their Chinese storefronts instead of building localized websites, since WeChat already handles discovery, product listings, payments, and customer service. Luxury brand LOEWE, for example, launched its 2024 “Crafted World” exhibition in Shanghai entirely via a WeChat Mini-Program, offering ticketing and interactive digital content without requiring users to leave the app.

For many domestic Chinese businesses, this has become the default strategy: their websites exist, if at all, as minimal shells, while the real customer experience lives entirely inside WeChat. And it’s worth keeping in mind, we talked about WeChat serving over 1 billion monthly active users. ChatGPT currently sees over 800 million a week, so roughly three times WeChat’s volume on a monthly basis. An agentic era of direct-to-consumer facilitated by platforms like ChatGPT, WeChat, Claude, Gemini, and CoPilot could bring a massive shift in consumer behavior.

Western Parallels

Western platforms are already moving in this direction. Instagram Checkout allows users to buy products directly inside Instagram, without ever visiting a retailer’s website. Shopify details this integration here. TikTok offers similar flows. Its partnership with Shopify enables in-app checkout so the consumer never leaves TikTok. Even services like Uber now function as APIs inside larger ecosystems. You can book a ride from within another app and never open Uber directly.

In each case, the website still exists, but the consumer may never see it. Discovery, consideration, and conversion all happen inside the closed flow.

The AOL Parallel

The resemblance to the mid-1990s is striking. AOL’s big push came in that period, when its “Keyword” model positioned the service as the internet itself. Instead of typing URLs, people entered AOL Keywords and stayed inside AOL’s curated walls. By mid-1996, AOL had roughly 6 million U.S. subscribers doing this, representing about 13% of the nation’s estimated 44 million internet users at the time.

Today, the “keyword” has become your intent. The agent interprets it, makes the decision, and fulfills the request. The outcome is the same: a closed environment where the gateway controls visibility and access. Only this time, it’s powered by LLMs and APIs instead of dial-up modems.

This is not an isolated evolution. There’s mounting evidence that the open web itself is weakening. Google recently stated in a legal filing that “the open web is already in rapid decline … harming publishers who rely on open-web display advertising revenue.” That report was covered by Search Engine Roundtable.

Pew Research found that when Google displays AI-generated summaries in search results, users click links only 8% of the time, compared to 15% when no summary is present. That’s nearly a 50% decline in link clicks. Digital Content Next reported that premium publishers saw a 10% year-over-year drop in referral traffic from Google during a recent eight-week span.

The Guardian covered MailOnline’s specific case, where desktop click-through dropped 56% when AI summaries appeared, and mobile click-through fell 48%. Advertising spend tells a similar story. MarketingProfs reports that professionally produced news content is projected to receive just 51% of global content ad spend in 2025, down from 72% in 2019. Search Engine Land shows that open-web display ads have fallen from about 40% of Google AdWords impressions in 2019 to only 11% by early 2025.

The story is consistent. Consumers click less, publishers earn less, and advertisers move their budgets elsewhere. The open web will likely no longer be the center of gravity.

If websites lose their central role, what takes their place? Businesses will still need technical infrastructure, but the front door will change. Instead of polished homepages, structured data and APIs will feed agents directly. Verification layers like schema, certifications, and machine-readable credentials will carry more weight than design. Machine-validated authority (how often your brand is retrieved or cited by LLMs) will become a core measure of trust. And partnerships or API integrations will replace traditional SEO in ensuring visibility.

This doesn’t mean websites vanish. They’ll remain important for compliance, long-form storytelling, and niches where users still seek a direct experience. But for mainstream interactions, the website is being demoted to plumbing.

And while design and user experience may lose ground to agentic flows, content itself remains critical. Agents still need to be fed with high-quality text, structured product data, verified facts, and fresh signals of authority. Video will grow in importance as agents surface summaries and clips in conversational answers. First-party user-generated content, especially reviews, will carry more weight as a trust signal. Product data like clean specs, accurate availability, transparent pricing will be non-negotiable inputs to agent systems.

In other words, the work of SEO isn’t disappearing. Technical SEO remains the plumbing that ensures content is discoverable and accessible to machines. Content creation continues to matter, both because it fuels agent responses and because humans still consume it when they step beyond the agent flow. The shift is less about content’s relevance and more about where and how it gets consumed. Web design and UX work, however, will inevitably come under scrutiny as optional costs as the agent interface takes over consumer experiences.

One consequence of this shift is that brands risk losing their direct line to the customer. When an agent books the flight, orders the shoes, or schedules the dentist, the consumer’s loyalty may end up with the agent itself, not the underlying business. Just as Amazon’s marketplace turned many sellers into interchangeable storefronts beneath the Amazon brand, agentic systems may flatten brand differentiation unless companies build distinctive signals that survive mediation. That could mean doubling down on structured trust markers, recognizable product data, or even unique content assets that agents consistently retrieve. Without those, the relationship belongs to the agent, not you.

That potential demotion for websites carries consequences. Domains will still matter for branding, offline campaigns, and human recall, but their value as entry points to discovery is shrinking. The secondary market for “premium” domains is already showing signs of stress. Registries have begun cutting or eliminating premium tiers; .art, for example, recently removed over a million names from its premium list to reprice them downward. Investor commentary also points to weaker demand, with TechStartups noting in 2025 that domain sales are “crashing” as AI and shifting search behaviors reduce the perceived need for expensive keyword names.

We’ve seen this arc before. Families once paid hundreds of dollars for full sets of printed encyclopedias. Owning Britannica on your shelf was a marker of credibility and access to knowledge. Today, those same volumes can be found in thrift stores for pennies, eclipsed by digital access that made the scarcity meaningless. Domains are on a similar path. They will remain useful for identity and branding, but the assumption that a keyword .com will keep appreciating looks more like nostalgia than strategy.

Defensive portfolios across dozens of ccTLDs will be harder to justify, just as stocking encyclopedias became pointless once Wikipedia existed. Websites will remain as infrastructure, but their role as front doors will continue to shrink.

Marketing strategies must adapt. The focus will move from polishing landing pages to ensuring your data is retrievable, your brand is trusted by agents, and your authority is machine-validated. SEO, as we know it, will transform from competing for SERP rankings to competing for retrieval and integration into agent responses.

Another underappreciated consequence of all this is measurement. For decades, marketers have relied on web analytics: page views, bounce rates, conversions. Agentic systems obscure that visibility. If a customer never lands on your site but still books through an agent, you may gain the revenue but lose the data trail. New metrics will be needed. Not just whether a page ranks, but whether your content was retrieved, cited, or trusted inside agent flows. In that sense, the industry will need to redefine what “traffic” and “conversion” even mean when the interface is a conversation rather than a website.

The Fear And The Possibility

The fear is obvious. We’ve been here before with AOL. A closed gateway can dominate visibility, commoditize brands, and reduce consumer choice. The open web and search engines broke us out of that in the late 1990s. No one wants to return to those walls.

But the possibility is also real. Businesses that adapt to agentic discovery (with structured signals, trusted data feeds, and machine-recognized authority) can thrive. The website may become plumbing, but plumbing matters. It carries the flow and information that powers the experience.

So the real question isn’t whether websites will still exist. Ultimately, they will, in some format. The question is whether your business is still focused on decorating the door, or whether you’re investing in the pipes that agents actually use to deliver value.

More Resources:


This post was originally published on Duane Forrester Decodes.


Featured Image: Collagery/Shutterstock

Get Found Without Paying for Ads via @sejournal, @thryv

All businesses, large or small, must establish a level of authority for the products and/or services they offer in the minds and hearts of their target audience if they expect to convince them to engage and buy.

This universal marketing truth plays out daily for small businesses looking to capture the attention of local customers through a variety of local SEO strategies.

Authoritativeness is the “A” in the much-heralded E-E-A-T (experience, expertise, authoritativeness, and trustworthiness) found in Google’s Search Quality Rater Guidelines.

In short, a business or organization needs to prove its authority to Google, and all other search engines, to be considered worthy of visibility in search engine results.

The authority of a local business can be established in a few different ways, but most notably:

  • Via the helpful, high-quality, well-structured content it creates for its target audience/customers.
  • Through validation of its offerings via industry-specific backlinks it maintains to its primary product, service, or other relevant content.
  • Via the engagement of its content.
  • Through validation of its “localness” via its local existence, appearance, community participation, and engagement.

We are obviously going to focus here on the fourth, often underestimated and overlooked, aspect of local business authority.

However, you’ll see that experience, expertise, and trustworthiness are also prominently referenced here, as all can be boosted via solid partnerships.

It only stands to reason: If a business wants to be visible locally, it needs to truly be visible in the community, with the digital local community merely being an extension of the real world.

While traditional SEO techniques like keyword optimization, content marketing, and link building are still essential, savvy business owners and digital marketers will look beyond these tactics to stand out from the local competition.

Leveraging local business partnerships and collaborations to build your local online authority and extend your web presence will most certainly help increase your visibility.

In this post, we’ll explore the power of forging partnerships with other local businesses and organizations to extend reach, build trust, and drive growth.

Building Authority and Trust Through Partnerships

Authority in the digital realm refers to your brand’s credibility, trustworthiness, and expertise in your industry and/or your location.

For small, local businesses, all this matters.

A business needs to convince its customers and Google, by extension, that it is the definitive local source of answers to their questions about its products and services. In other words, it is not the only game in town, but the primary one.

Partnering with other reputable, authoritative businesses effectively gets those businesses to validate your existence, expertise, and authority.

Google and other search engines consider authoritative websites more relevant and rank them higher in organic search results and local map packs.

Here’s how forging reciprocal local business partnerships can help build authority:

Co-Branding And Trust-Building

Partnering with reputable local businesses and organizations can create a co-branding effect.

When consumers (or search engines) see your business/brand associated with other businesses they already trust, it naturally enhances credibility, trustworthiness, and authority.

Local business organizations like Chambers of Commerce, Business Network International (BNI), and many others have been established, at least in part, to help small local businesses extend their reach, build trust, and, thereby, earn authority.

Many of these organizations have categorized online directories, content distribution opportunities (e.g., email newsletters or blogs), and business awards. They also have staff responsible for helping local business partners take advantage of these programs.

All local businesses should inquire, sign up, and take advantage of what these important local groups offer.

Maintaining listings, content, or recognition here provides search engines with potentially powerful local and topical signals.

Basic membership is important, but the more a business owner can do to boost their local offline and online profile through active engagement, the better.

Expertise And Resource Sharing

Collaborating with local, like-minded businesses will enable you to demonstrate your experience and expertise, along with your partner’s, and then showcase it on each other’s platforms.

This can be accomplished through guest blog posts, joint webinars, offline events, or social media takeovers – all of which can enhance your reputation as a trusted local information contributor.

One of the challenges of content marketing, especially for small local businesses, is simply having the time to create the content.

Thoughtful partnering with other business owners provides a viable means to share this burden of feeding the content machine.

For example, a local tax lawyer may partner with a local bookkeeping service or tax preparation firm to create a monthly tax tips newsletter or annual tax prep checklist, to which both firms can contribute.

Content Syndication And Social Collaboration

Similarly, two businesses that choose to share each other’s content on their respective platforms expose each other’s brands to a wider audience and can establish each as a go-to source for local information.

The key is to identify topics and content that will be relevant and interesting to each other’s audience.

While social signals, such as likes and shares, are not Google ranking factors, having partners occasionally like, share, and effectively validate any of your content will certainly extend its potential audience, where it will perhaps again be read, liked, and shared.

Content will typically only be shared once it has been validated by trustworthy sources, which your partner becomes on your behalf.

An example here may be a local auto body shop sharing car maintenance tips from a local mechanic via a customer newsletter. Meanwhile, the mechanic shares paint and detailing information through a series of Google Business Profile or social media posts.

Content sharing, depending on where and how it’s done, may result in the creation of valuable local backlinks and citations.

Backlinks

Backlinks remain valuable in SEO because search engines interpret them as votes of confidence.

Where possible, these links should be put in the proper context relative to your partnership and the related products or services offered.

For example, a local auto body shop might establish a partnership with a local full-service mechanic. Each could link to the other’s respective service pages as a reference for those customers looking for a trusted referral.

However, even a non-service-specific link for a local partner can be beneficial, too – as it is at least a local, if not topical, validation.

And yes, Google’s algorithm is sophisticated enough to identify when one local business has linked to another.

All backlinks (except for those without any relevant value) contribute to authority.

Supporting Local Organizations And Events To Gain Citations

Another aspect of growing local trust and authority is becoming involved in local service organizations, sports teams, clubs, or local events.

Whether you provide monetary or volunteer support, most organizations have websites or social media presences where a logo, contact info, perhaps a short business overview, and preferably a link can be shared.

These types of mentions, with a link or not, are considered citations and can have significant value.

These types of relationships serve to bolster localness online and provide more evidence of your business’s role as a contributing, engaged member of the community.

Furthermore, if approved by the supported organization(s), who are no doubt also looking for any positive local exposure, content and links to their websites, programs, events, etc., should be published on yours.

Typically, this is done in the “About Us” section or perhaps on a page dedicated to your business’s community support initiatives.

Local Competition And Content Differentiation

Depending on your location and level of competition, establishing local partnerships and collaborations may simply be a way of differentiating your business from all others when competitors don’t have the time, resources, or foresight to leverage this important opportunity.

The introduction of generative AI used to produce content has raised fears in some circles around the potential for a lack of “unique” informational content, as some marketers, while not advisable, will post what AI has generated verbatim.

Local collaborations can be a great way to complement what AI has to offer by injecting local partner contributions into standard service-related blog posts and FAQs.

A Local Collaboration Case Study: Fitness Food

Here’s a quick example of a local business partnership scenario and some of the potential benefits to be realized.

The Collab

A local fitness studio partners with a healthy café, offering a stay-fit meal deal to gym members.

The café provides fitness class discount vouchers with qualifying fitness-focused meal purchases, which are prominently promoted on the homepage of their websites while linking to each other.

They also collaborate on a weekly Fitness Food blog post with reciprocal links, which they publish and share on their respective websites and social media platforms.

Lastly, they create a health challenge and contest on social media for their customers, where participants are asked to share their fitness and nutrition journeys – again, cross-promoted.

The Results

  • Combined, the businesses positioned themselves as leading community advocates for healthier lifestyles, reinforcing their authority as wellness experts.
  • Blogs linked to their offers and primary service pages, shared via each other’s Facebook and Instagram accounts, trigger a boost in each business’s service page rank in organic search and, subsequently, organic search traffic and conversions.
  • The program attracts local influencers who post user-generated content with links to their offers and blog posts, further enhancing their reach and authority.
  • The health challenge and contest become a trending topic on local social media platforms, leading to likes and shares and thereby attracting a broader audience.
  • The partnership created a mutually beneficial cycle – as more people joined the fitness studio, they frequented the café, and vice versa.

Practical Steps To Building Local Business Partnerships

With the potential benefits of local business partnerships outlined above, here are some practical steps to establishing and maintaining effective relationships:

Identify Compatible Businesses Or Organizations

Seek out local businesses and groups that ideally complement your products or services and share your target audience, as shown above with tax, automobile, and wellness-related businesses.

Ensure their values and marketing goals align with yours. This will form the foundation of a successful partnership.

You will naturally want to identify a business whose online presence reflects its understanding and commitment to this important marketing channel.

A few quick Google searches should quickly reveal solid prospective partners who can be easily found via organic search.

Develop A Clear Value Proposition

Clearly define what each party brings to the table and what outcomes are possible.

Consider how you can benefit each other, whether through collaborative content creation and distribution, co-promotion, shared events, or other tactics.

Create A Partnership Agreement

Consider putting a written agreement in place outlining the terms and responsibilities of each party.

This document should include details like the duration of the partnership, resource/time contributions, content ownership considerations, and any other mutual expectations.

Leverage Both Online And Offline Channels

Promote your partnership through various channels, both online and offline.

Depending on the promotion and budget, utilize your website, social media platforms, email marketing, or pay-per-click advertising, as well as in-store physical signage or offline documents, to showcase your collaborations.

Collaborate On Content

Partnering on content creation, such as blog or social media posts, is an excellent way to leverage each other’s expertise and resources.

If the plan is to create a joint blog post or email newsletter per week or month, alternate scheduling can be used to spread out the workload.

This will no doubt resonate with most local business owners who are generally taxed for time.

Monitor, Measure, And Adjust

Any good digital marketing campaign should be monitored and measured to see what’s working and what isn’t, i.e., messaging, channels, etc.

Part of your campaign planning should include a determination of what to measure and the goals you both hope to meet.

Start small with simple metrics both parties can easily obtain, such as newsletter signups, website traffic, or campaign-specific measurements.

Analyze organic search results, website traffic (and particularly referral traffic from your partners or other local sites), social media engagement, and sales at regular intervals to gauge impact.

Consider creating unique branded campaign URLs or QR codes to differentiate traffic or business received via the partnership.

With smaller businesses, it may be simple enough to measure new social media followers or shared content anecdotally.

Analytics is meant to be actionable, so be ready to suggest and adjust if something isn’t working as expected.

Ultimately, analytics will help you determine where to focus your attention, especially if one channel or source produces noticeable results.

Plan, Engage, Collaborate, Grow

Growing your business in your local community is all about extending your reach to the broadest audience possible.

Partnering with like-minded, non-competitive businesses and organizations is a quick and effective way to amplify your message – online and offline.

When done purposefully and properly online, the result is a boost in your all-important local and perhaps topical authority.

Consumers, particularly local consumers, buy from businesses they know and trust.

We all ask our friends, family, and those we do business with for advice or references when we need certain products or services.

Well-established partners can become trust proxies to bring in customers you might otherwise not have access to.

In short, building local online authority and trust boils down to being a highly visible and sincerely engaged member of your broad community that Google cannot ignore.

More Resources:


Featured Image: SvetaZi/Shutterstock

From Line Item To Leverage: How Web Performance Impacts Shareholder Value via @sejournal, @billhunt

Despite years of digital transformation talk, too many CEOs and CFOs still treat the corporate website as a necessary marketing expense, a sunk cost with limited upside. I have far too many CEO’s of billion-dollar companies who view it simply as an expensive interactive brochure, setting the tone for the company and dooming the web as just that, a brochure without strategic value.

But the modern website is not just a cost center. It’s a capital asset. One that, when strategically managed, generates revenue, lowers acquisition costs, accelerates growth, and protects brand equity.

In my previous articles (“Closing the Digital Performance Gap” and “Who Owns Web Performance?“), I outlined how poor internal ownership and misaligned incentives drag down web effectiveness. Now it’s time to reframe the economic value of performance. Because digital visibility, findability, and functionality aren’t just tactical wins – they affect shareholder value.

Web Execution: Expense Or Asset?

Let’s speak the CFO’s language. If you build a new manufacturing line, you evaluate its contribution to output and margin. If you invest in a retail expansion, you track foot traffic, conversion, and revenue per square foot.

Why don’t we evaluate digital the same way?

Here’s how most companies currently think:

  • SEO: Free traffic driver.
  • Content: Sales and marketing copy.
  • UX: Design polish.
  • Analytics: Reporting tool.

Here’s how performance-minded leaders think:

  • SEO: Organic demand capture engine.
  • Content: Business development asset.
  • UX: Funnel velocity multiplier.
  • Analytics: Optimization flywheel.

When you stop viewing digital as overhead and start seeing it as infrastructure, the return on investment (ROI) math changes completely.

How Underperformance Drains Enterprise Value

If your digital infrastructure is fragmented, under-optimized, or reactive:

  • You spend more on paid channels to make up for poor organic performance.
  • You lose visibility to competitors in AI and search environments.
  • You deliver confusing or outdated experiences that erode brand trust.
  • You waste employee and agency hours chasing after misaligned key performance indicators (KPIs).

None of these are minor problems. They compound.

They show up in:

  • Lower customer lifetime value (CLV).
  • Higher customer acquisition cost (CAC).
  • Missed revenue from unindexed products or inaccessible content.
  • Declines in organic search traffic and authority that paid cannot make up for.

The Invisible ROI Leak: Misalignment

As explored in “Who Owns Web Performance?,” when multiple teams touch the website – but no one owns outcomes – you get:

  • Wasted spend on underperforming campaigns.
  • Lost traffic due to crawlability errors and excessive technical issues.
  • Duplicated content with no central taxonomy.
  • Security or compliance risks from unmanaged pages.

These are not theoretical. They show up on the balance sheet as missed revenue, higher CAC, and lower conversion rates.

The Capital Efficiency Of SEO And Organic Visibility

Capital efficiency is one of the most underappreciated components of shareholder value, but increasingly, it’s a critical factor in CEO evaluations. Boards and investors are looking beyond topline growth to assess how effectively a company turns investment into output to achieve growth. That means efficient, repeatable, high-margin systems like SEO and web performance become strategic levers, not support functions.

SEO is often dismissed as “free traffic,” but that’s misleading. It’s not free and has been rebranded into MBA-friendly buzzwords like “organic visibility” and “owned media.” But behind those terms is real effort. SEO teams must optimize content that was often created in a vacuum, retrofit pages with structured data, and resolve infrastructure gaps just to make that content accessible to search engines. These are real costs and costs that wouldn’t exist if SEO were embedded earlier in the workflow. When viewed holistically as a strategic function, SEO becomes a high-efficiency, compounding return channel. One that gets stronger with alignment and investment, and weaker with neglect.

Properly funded and governed SEO:

  • Reduces dependency on paid media.
  • Enables customer self-service and support at scale.
  • Increases discoverability across multiple intent stages.
  • Builds durable search equity and authority.
  • Fuels AI citations and rich result presence.

More importantly, it improves capital efficiency, the ability to turn inputs (budget, time, content) into outputs (qualified leads, revenue, brand trust) with minimal waste.

AI Search Just Raised The Stakes

Search is no longer about blue links – it’s about recommendation systems. AI Overviews, summary blocks, and generative results are now front and center. If your content isn’t:

…then you’re invisible. Or worse – you’re used as a data source without receiving attribution.

As I wrote in “The New Role of SEO in the Age of AI,” platforms now monetize the experience, not just the click. They extract content, retain the user, and collect behavioral data to improve their own models.

“If your content can’t be reused, monetized, or trained against – it’s less likely to be shown.”

Your site is not just competing with others – it’s competing with the platform itself.

Let’s Talk Shareholder Value

When SEO and digital performance are working:

  • You lower CAC.
  • You increase CLV through better segmentation and nurturing.
  • You strengthen brand equity via visibility and trust signals.
  • You improve operational efficiency through centralized platforms and reusable modules, and reduce customer support costs through effective self-service experiences.
  • You protect valuation by owning your digital demand footprint.

When they aren’t working, you erode those same advantages.

Let’s take a real-world example.

I worked with a public company preparing to spin off half its business into a new entity. The leadership’s attention was focused almost entirely on launching the new brand and website, yet there was no plan for preserving or migrating organic search performance. The new entity’s success depended on leveraging an existing client base, maintaining current sales momentum, and hitting aggressive growth targets. But SEO wasn’t even on the radar.

I was brought in to develop the business case for making organic search a strategic pillar of the post-divestiture digital platform. I argue that we would only get senior executive buy-in not by forecasting traffic loss, but by reframing SEO’s contribution across the three drivers of shareholder value:

  • Financial: Conservative modeling, based on current performance rates, showed that a poorly managed migration could result in $350 million in lost lead value. In addition, regaining that visibility via paid media would require tens of millions in unplanned ad spend.
  • Operational: The company continued operating in 45 countries across 10 languages. Without localized optimization and scalable global templates, international lead pipelines would suffer dramatically.
  • Strategic: To stand apart from the legacy business and support complex enterprise sales cycles, the new digital platform needed to rapidly establish authority, build trust signals, and differentiate itself not only in search but in ease of use and depth of information.

By speaking the language of shareholder value and showing how SEO impacted financial outcomes, operational continuity, and long-term strategic position, we secured executive alignment. SEO was integrated early into the platform roadmap, ensuring scalability, visibility, and global readiness from day one.

A Call To Action For Senior Leaders

If you’re a CEO, CMO, or CFO reading this, ask yourself:

  • Do we treat the website as a strategic asset or a sunk cost?
  • Is there executive ownership of performance or just distributed responsibility?
  • Are we capturing, measuring, and maximizing organic opportunity – or plugging gaps with paid media?
  • Is our content structured and usable by AI systems, or just accurate but invisible?

This is about mindset and governance, not just tactics.

Final Thought: Web Performance Is A Leverage Point

As digital channels drive more business outcomes, functions once considered tactical (like SEO or load speed optimization) can now contribute meaningfully to operational leverage, customer acquisition, and profitability turning them into strategic priorities.

Your website is where your brand, product, content, and promise converge. It’s your most visible, scalable, and measurable asset.

Treating it like a brochure is like owning an F1 race car and only polishing the paint.

When you design for performance, staff for cross-functional excellence, and govern for outcomes – you stop leaking value and start building leverage.

Because in today’s market, digital performance isn’t just good marketing. It’s good business.

And good business drives shareholder value.

More Resources:


Featured Image: Master1305/Shutterstock

And The Truth? This Writing Style Screams AI via @sejournal, @cshel

Six months ago, you could spot AI-generated text by its polished grammar, rigid essay structure, suspicious fondness for em dashes – and, of course, the inevitable emoji bullets (🔥🚀✨). The real giveaway, at least to my eye and ear, isn’t the emojis or the punctuation. It’s the cadence.

AI writing has a rhythm problem. The sentences are clipped. Overly dramatic. Split into one-line paragraphs that feel more like infomercials than journalism.

“The truth? This wasn’t SEO causation. It was a stock market correction.”
“They were left behind. They were angry. They weren’t your people.”

On the page, this is nails-on-chalkboard grating. It doesn’t read as conversational. It reads as performative. In my opinion, this is, without a doubt, AI’s most recognizable stylistic fingerprint.

A Brief History Of The AI Cadence

This rhythm predates AI. It has been the language of speechwriters, preachers, and copywriters long before GPT entered the chat. Think Reagan’s addresses, Clinton’s campaign rallies, Obama’s campaign speeches, Churchill’s wartime broadcasts, and Blair’s conference speeches. Each leaned on rhythm and repetition to generate a great deal of emotion out of a speck of substance. Pair that with Captain Kirk’s famously staccato delivery, televangelists’ sermons, or TED Talks built around dramatic pauses, and you see how cadence can make small or mundane ideas feel powerful and deep.

That style used to stay in its lane. Where print valued density and clarity, speech valued brevity and rhythm. Readers could re-read; listeners could not. Editors enforced writing standards and styles and the economics of print rewarded information density over theatrics. As a result, this cadence lived solely in spoken word. It lived in speeches and sales copy, and not in essays and articles.

AI collapsed those boundaries. Because LLMs cannot (or chose to not) differentiate between a stump speech, a YouTube transcript, and a white paper, they overindex patterns designed to persuade aloud and repurpose them for the written page. Now, we are inundated with technical articles that read like motivational talks.

Why AIs Default To This Cadence

The AI cadence is not an accident – it’s a reflection of what models were most heavily trained on. Large language models have been fed a disproportionate amount of spoken-word material: transcripts of speeches, news reports, debates, interviews, webinars, podcasts, and video scripts. These aren’t “written texts” in the traditional sense; they are spoken performances converted into text.

Why so much spoken-word data? Because it’s cheap and plentiful. Back when I was running my ISP, I loved radio and TV for advertising and news mentions because it was far less expensive than buying or winning space in print. Broadcasters had 24 hours a day to fill, and local stations were always desperate for content. Print, on the other hand, is expensive. Every page of a newspaper, magazine, or book costs money to produce, and publishers limit content to what is necessary or affordable. As a result, far more hours of audio and video have been produced than carefully edited prose — and much of that material ends up transcribed. Those transcripts give the models a vast mountain of “written-down speech” compared to a relatively smaller body of curated, edited text.

The difference is subtle but important: a transcript is in a written medium, but it is not writing in a written style. It preserves the cadence of spoken delivery — short bursts, rhetorical pauses, fragments. Models overindex this rhythm because it dominates the dataset.

Even when prompted to avoid it, the models can’t resist drifting back into this rhythm. They might manage a few sentences of varied prose, but the gravitational pull of the AI cadence always drags them back. It’s now the default groove burned into their training.

The Em Dash Problem

That overindexing also explains a related AI tell: the sudden overuse of em dashes. In polished writing, dashes were historically used sparingly for emphasis or interruption. In speech, however, pauses are constant. Transcripts often mark those pauses with dashes. For a model swimming in transcripts, the dash becomes a default punctuation mark, because it functions as the written equivalent of a spoken pause. The result is copy littered with dashes – not because the ideas require them, but because the training data normalized them.

Punctuation As Breath

Punctuation has always been about more than grammar. Periods, commas, and dashes are signals for how we pause and where we breathe. They are like rests in music, telling the reader when to stop, inhale, and reset before continuing. Well-edited prose balances those pauses so the rhythm feels natural.

The AI cadence breaks this balance. When every thought is chopped into fragments, you’re effectively told to breathe after every line. Reading an article like this feels like hyperventilating: shallow breaths, constant interruptions, no sustained flow. It makes everything sound catastrophic, urgent, or world-shattering, even when the subject matter is mundane. Gentle readers, not every sentence or every idea warrants that level of drama.

Where this leaves us is that when models generate text, they parrot back the structures they’ve seen most often: speech rhythms and speech punctuation, presented as though they were the standard for written communication. They are not. They’re salesmanship with line breaks and pauses dressed up as prose.

Why Readers React To It

This cadence feels powerful at first. It mimics natural speech. It creates rhythm. It feels dramatic without requiring depth. That’s why it pops in feeds.

However, the longer it is stretched out, like in long-form content, or the more a reader is exposed to the same cadence over and over and over again, the power you once felt collapses into disdain. This breathy, short-sentence delivery leads to:

  • Oversimplification which flattens nuance.
  • Repetition that manipulates more than it informs.
  • Every line to demand attention ensuring none of them earn it.
  • Readers to suspect style is substituting for substance.

Here is the deeper problem: when everything is delivered as if it were earth-shattering, readers begin to doubt the authenticity of the message itself. It’s Syndrome’s hypothesis in The Incredibles: “When everyone is super, no one is.” If every sentence screams urgency, then nothing actually carries weight.

Historically, this kind of relentless, crisis-driven cadence has also been a manipulation tactic. Political demagogues, televangelists, and snake-oil salesmen leaned on hyperbole precisely because they lacked evidence. When AI reproduces that same rhythm on the page, it inherits the credibility problem too. Readers may not articulate it consciously, but they feel it: if you have to shout every line, maybe you don’t have enough substance to stand on quietly.

Just as keyword stuffing once became a hallmark of low-quality SEO, this cadence is already becoming the hallmark of low-quality AI. Readers recognize the rhythm before they absorb the message. When the medium distracts from the message, trust erodes.

A Tale Of Two Paragraphs

AI cadence in practice:

“The algorithm changed.
Sites lost traffic.
Panic spread.
And the industry?
It declared SEO dead – again.”

Now, the same idea written for readers:

“When the algorithm changed, many sites saw a drop in traffic. The panic was predictable. Within days, familiar headlines declared SEO dead once again. The cycle repeats every few years, and every few years it proves wrong.”

The difference here is obvious: one is an infomercial and the other is writing.

How To Spot It

Editors and readers can train themselves to notice:

  • Long runs of one-sentence paragraphs.
  • Rhetorical questions with no depth (often beginning with conjunctions like And or But…
  • Sentence fragments pretending to be profound.
  • Sermon-like pacing that seems to expect a chorus of ‘amens’ (or applause, if you’re lucky)…

Simply put, once you have seen it, you cannot unsee it: it is the literary equivalent of a laugh track.

How To Write Like A Human Again

How do we remedy this situation? Short of, I suppose, doing our own writing?

  • Vary sentence length instead of defaulting to extremes.
  • Use rhetorical questions sparingly – only when they genuinely add depth.
  • Group related ideas into paragraphs; readers can handle more than one sentence at a time. Unless you are writing FOR toddlers, do not treat your readers as though they ARE toddlers.
  • Prioritize clarity and voice over performative drama. Note here that the goal isn’t to sound casual at all costs, but to sound intentional, rational, and backed by data.

Why It Matters For SEOs And Marketers

AI writing tools are embedded in nearly every workflow. Left unchecked, they will flood the web with copy that reads like an endless sales pitch. Professionals must edit not just for facts but for voice.

That means:

  • Training teams to recognize and break the AI cadence.
  • Creating style guides that emphasize varied sentence and paragraph structure.
  • Editing AI drafts with rhythm in mind, not just keywords.
  • Writing for humans who read – not just platforms that skim.

Respecting the reader’s time and intelligence is, in the end, the real optimization.

Is There Ever A Place For This Style?

Yes, of course, but like most things, in moderation. Staccato writing is effective for:

  • Ad copy where space is limited.
  • Video scripts where pacing drives attention. (Your LinkedIn vertical videos and IG Reels? Have at it. This is where the staccato AI cadence shines.)
  • The occasional LinkedIn post engineered for scanning.

However, should this become the default writing style for articles, blogs, or essays? Abso-effing-lutely not. It cheapens the content and undermines credibility.

In Closing

AI has introduced more than just new tools. It has also normalized certain stylistic tics that don’t belong in most forms of writing. Among these, the AI cadence problem is the most recognizable and the most damaging when left unchecked.

Writers, editors, and marketers need to treat the presence of AI cadence in their writings the same way we treated keyword stuffing a decade ago: as a major red flag. The difference between human and AI writing isn’t just factual accuracy. It’s rhythm, intent, and voice.

The real divide isn’t human versus machine. It’s generic versus intentional. Intentional writing that is structured for clarity, rooted in substance, and respectful of the reader will always stand out.

More Resources:


Featured Image: N Universe/Shutterstock

Are AI Search Summaries Making Evergreen Articles Obsolete? via @sejournal, @martinibuster

Ahrefs’ Tim Soulo recently posted that AI is making publishing evergreen content obsolete and no longer worth the investment because AI summaries leave fewer clicks for publishers.  He posits that it may be more profitable to focus on trending topics, calling it Fast SEO.  Is publishing evergreen content no longer a viable content strategy?

The Reason For Evergreen Content

Evergreen content can be a basic topic that generally doesn’t change much from year to year. For example, the answer to how to change a tire will generally always be the same.

The promise of evergreen content was that it represents a steady source of traffic. Once a web page is ranking for evergreen topics, publishers basically just have to make sure that it’s updated if the topic has changed in some way.

Does AI Break The Evergreen Content Promise?

Tim Soulo is suggesting that evergreen content, which can be easy to answer with a summary, is less likely to send a click because AI summarizes the answer and satisfies the user, who may not need to visit a website.

Soulo tweeted:

“The era of “evergreen SEO content” is over. We’re entering the era of “fast SEO.”

There’s little point in writing yet another “Ultimate Guide To ___.” Most evergreen topics have already been covered to death and turned into common knowledge. Google is therefore happy to give an AI answer, and searchers are fine with that.

Instead, the real opportunity lies in spotting and covering new trends — or even setting them yourself.”

Is Fast SEO The Future Of Publishing?

Fast SEO is another way of describing trending topics. Trending topics have always been around; it’s why Google invented the freshness algorithm, to satisfy users with up-to-date content when a “query deserves freshness.”

Soulo’s idea is that trending topics are not the kind of content that AI summarizes. Perplexity is the exception; it has an entire content discovery section called Perplexity Discover that’s dedicated to showing trending news articles.

Fast SEO is about spotting and seizing short-lived content opportunities. These can be new developments, shifts in the industry or perceptions, or cultural moments.

His tweet captures the current feeling within the SEO and publishing communities that AI is the reason for diminishing traffic from Google.

The Evergreen Content Situation Is Worse Than Imagined

A technical issue that Soulo didn’t mention but is relevant here is that it’s challenging to create an “Ultimate Guide To X, Y, Z” or the “Definitive Guide To Bla, Bla, Bla” and expect it to be fresh and different from what is already published.

The barrier to entry for evergreen content is higher now than it’s ever been for several reasons:

  • There are more people publishing content.
  • People are consuming multiple forms of content (text, audio, and video).
  • Search algorithms are focused on quality, which shuts out those who focus harder on SEO than they do on people.
  • User behavior signals are more reliable than traditional link signals, and SEOs still haven’t caught on to this, making it harder to rank.
  • Query Fan-Out is causing a huge disruption in SEO.

Why Query Fan-Out Is A Disruption

Evergreen content is an uphill struggle, compounded by the seeming inevitability that AI will summarize the content and, because of Query Fan-Out, possibly send the click to another website that is cited because it offers the answer to a follow-up question to the initial search query.

Query Fan-Out displays answers to the initial query and to follow-up questions to the initial search query. If the user is happy with the summary to the initial query, they may become interested in one of the follow-up queries, and one of those will get the click, not the initial query.

This completely changes what it means to target a search query. How does an SEO target a follow-up question? Maybe, instead of targeting the main high-traffic query, it may make sense to target the follow-up queries with evergreen content.

Evergreen Content Publishing Still Has Life

There is another side to this story, and it’s about user demand. Foundational questions stick around for a long time. People will always search “how to tie a bowtie” or “how to set up WordPress.” Many users prefer the stability of an established guide that has been reviewed and updated by a trusted brand. It’s not about being a brand; it’s about being the kind of site that is trusted, well-liked, and recommended.

A strong resource can become the canonical source for a topic, ranking for years and generating the kind of user behavior signals that reinforce its authority and signal the quality of being trusted.

Trend-driven content, by contrast, often delivers only a brief spike before fading. A newsroom model is difficult to maintain because it requires constant work to be first and be the best.

The Third Way: Do It All

The choice between producing evergreen content and trending topics doesn’t have to be binary; there’s a third option where you can do it all. Evergreen and trending topics can complement each other because each side provides opportunities for driving traffic to the other. Fresh, trend-driven content can link back to the evergreen, and this can be reversed to send readers to fresh content from the evergreen.

Trend-driven content sometimes becomes evergreen itself. But in general, creating evergreen content requires deep planning, quality execution, and marketing. Somebody’s going to get the click from evergreen content, it might as well be you.

Featured Image by Shutterstock/Stokkete

Ask an Expert: How to Start with GEO?

“Ask an Expert” is an occasional feature where we pose questions to seasoned ecommerce pros. For this installment, we’ve turned to Louis Camassa, the director of product at Rithum, a marketplace orchestration platform. He’s also a serial entrepreneur and an occasional contributor to Practical Ecommerce.

He addresses the essentials of generative engine optimization for ecommerce.

Practical Ecommerce: How can merchants optimize product visibility across ChatGPT, Perplexity, Gemini, and other generative AI platforms?

Louis Camassa: There’s no universal guide at present for product integration, but retailers can take proactive steps to prepare.

Louis Camassa

Louis Camassa

Begin by evaluating current genAI visibility. Merchants should search for their brand names to understand how the platforms present them. Experiment with shopper-like queries to observe how the systems rank and mention offerings in comparison to competitors. Consider searches such as “Find me running shoes with maximum cushioning for marathon training” or “What are the top-rated coffee makers that brew a single cup in under 2 minutes?”

Next, thoroughly review product info. Again, standardized genAI product formats do not yet exist, yet companies with existing product feeds have a solid foundation. Ensure your feed contains key details such as dimensions, color options, materials, weight specifications, and intended applications.

ChatGPT, Perplexity, and Gemini have not yet opened the gates to share product data directly, but small-to-midsize merchants can get ahead by preparing now.

Generative AI platforms thrive on structured, accurate, real-time data.

Here are optimization tips:

1. Keep product data clean and consistent
• Unique IDs that never change
• Plain text titles and descriptions

2. Write for people, not just machines
• Short, specific titles (brand + product + key attribute)
• Natural language benefits in descriptions

3. Use structured attributes
• Brand, price, size, color, and material
• Group product variants with a shared ID (e.g., parent-child relationship)

4. Optimize images
• Use a content delivery network
• Extra angles or lifestyle shots help

5. Update feeds often
• Refresh at least daily

6. Use custom fields
• Add category-specific details (battery life, fabric, eco-friendly)

7. Localize content
• Language and country codes
• Simple, clear native text

8. Be transparent on price
• Always list price in ISO format (e.g., 29.99 USD)
• Include sale price if available

9. Don’t skip the details
• Shipping, handling, promotions, and other data build trust and improve ranking

Making SEO Personas Actionable Across Teams via @sejournal, @Kevin_Indig

Here’s what I’m covering this week: How to get the most out of personas in your day-to-day work across SEO, content, and the broader org.

Because in the AI-search era, personas built from organic queries and prompts have value for every touchpoint: ad copy, sales scripts, support docs, product messaging.

They carry the unfiltered language of your audience (their fears, hesitations, and demands) straight into the hands of the teams shaping your funnel.

If you’re not operationalizing search-data-based personas across departments, you’re missing one of the few forms of market intelligence that scale across SEO, marketing, sales, and product.

Personas shouldn’t live stagnantly in a slide deck. I’ll show you how to make them pull their weight across the org.

Image Credit: Kevin Indig

Boost your skills with Growth Memo’s weekly expert insights. Subscribe for free!

Last week, I showed you how to create search personas based on data you already have available, along with how to use an LLM-ready persona card to extract custom insights.

But the best persona in the world doesn’t help if it collects dust in your Google Drive.

This week, I’m digging into how to make these search persona insights actionable – not only across your SEO processes and production, but also across broader teams that SEO work touches.

However, before we dive in, I want to share a few notable perspectives on search personas that came up in conversation on this LinkedIn thread:

Malte Landwehr, CPO & CMO at Peec AI, gave this visual example in the thread (with additional context) that resonated strongly. From his own research and testing, he shared a visual detailing LLM visibility for various headphones based on prompts for personas and use cases.

The findings? LLMs recommended different brands/products based on different persona-based prompts.

Image Credit: Kevin Indig

And below, David Melamed brings up an interesting and important question below.

Image Credit: Kevin Indig

I agree with David: The more personalized search results are, the less you can segment or generalize across a group.

But if you check out our conversation in the comments, David absolutely gets it, and his concerns are valid.

He shares that “more long tail content and citations across more unique niches, scenarios and comparisons should beat out persona driven content” and that “looking at questions, related searches in search console, and Google and Microsoft ads search term reports… [along with] experience and other voice of customer research (listening to calls, analyzing reviews, reddit threads, complaints, etc..)” would be a helpful approach.

And that’s what I tackled last week in Personas are critical for AI search (part 1 on the persona topic): To succeed with user personas for SEO – and make them valuable and usable – the goal is to build custom, unique search personas from your actual in-house data and long-tail Google Search Console.

So, David brought up a valid point, one that’s aligned with how we should be building useful search personas for today.

Lastly, Elisa Daniela Montanari sums up how a lot of us feel about the shift toward qualitative research (along with mentioning her goals to upskill as an SEO by diving into user research tactics):

Image Credit: Kevin Indig

And with these conversations in mind…

I’d argue that high-quality, customer-centered SEO research captures unfiltered questions, painpoints, and intents at scale, across the entire journey – and that makes it one of the most versatile forms of market intelligence that you can use across your brand as a whole.

So if organic query and prompt research is so valuable and versatile, how do you ensure they’re actually used?

Because all strategists everywhere have had that stupidly challenging moment: After doing all the labor-intensive data-gathering of building user personas for SEO, it’s time to get your team or clients to use those insights regularly across SEO production.

You need to prep your findings so they’re not left gathering cobwebs in the dark corners of the cloud.

1. Create An Internal Knowledge Hub For Core Search Personas

Not another slide deck or spreadsheet that gathers dust. A simple, easily-accessible hub that is a living, breathing document.

Translate data into the formats your team and stakeholders already use: dashboards, one-page briefs, funnel visualizations.

Think Notion, Airtable, Asana, Google Sheets, Slack Canvas – wherever your team is already working and discussing production.

Key contributors need to have access to fluidly comment and update as organic questions and pain points surface across your audience.

2. Build A Clear Narrative Around How And Why Using These Personas Is Valuable

Position SEO research/persona use as a “horizontal competency” that makes every department smarter.

Kick off persona use with a short session showing:

  • Real queries from your personas.
  • How those queries reveal pain points, objections, or jobs-to-be-done.
  • Where competitors are (or aren’t) meeting those needs.
  • Inform the team on how users are interacting with AI-based search results (see Trust Still Lives in Blue Links for details on the four AIO intent patterns).

A three-minute Loom video can do wonders.

Use the data you have (Google Search Console, Semrush, Ahrefs, LLM prompt monitoring tools) to back up the importance of use.

At the end of this memo, I have a slide deck template for premium subscribers that will help you build this narrative and guide effective persona implementation across teams.

3. Train Contributors On How Personas Will Be Used Across Production – And Follow Through

Train your SEO/content contributors that personas don’t just shape blog posts – they inform all communication touchpoints in the customer journey.

If you’re also using search personas to inform your sales and customer care team interactions (and you should – more on that below), create examples of how to use personas across all communication channels.

Highlight missed opportunities (e.g., ad copy vs. organic messaging mismatch, customer support docs hidden from search, sales scripts that could benefit).

And although this means extra work for leaders, managers, or editors, this part is crucial: Let your team know that briefs that don’t specify personas will be rejected or sent back for revision. That also goes for drafts that don’t speak directly to defined personas and their search behaviors/needs.

Yes, it’s an added step on an often-already-overloaded plate of a marketer, but this is how you ensure they’re successfully implemented across your work over time.

Image Credit: Kevin Indig

Here’s where your personas stop being a strategy deck or training session and start shaping what users experience.

1. Incorporate Persona Data Into Every Content Brief

Your search persona data is there to help you direct every brief beyond target queries and products/services features to mention.

Use it to inform your content producers of the following:

  • Unique, data-backed pain points.
  • Real customer/lead questions that need answering.
  • Proof points needed to reduce hesitation.
  • What authority signals resonate with your target reader.
  • Behaviors that impact interactions with the page.
  • Copy on the page.

In every content brief, flag actual language from queries, call transcripts, or reviews that should be used on the page. Create a copy bank that’s tagged into your content briefs that your writers, editors, and LLMs can pull from.

For example, if your persona says “integration headaches,” don’t water it down to “implementation challenges.” Use their words.

2. Use Search Persona Data To Inform Page Structure

Match the flow of the page to how specific personas are likely to consume information.

Some personas need trust-driven validation upfront (editorial quality signals, branded logos, stats, testimonials). Others need efficiency first, then a CTA.

Here’s a practical way to estimate what each of your search personas needs on the page:

  • Follow guidance (and use the regex) provided in Personas are critical for AI search to extract GSC long-tail queries that can contain indicators of specific search personas.
  • Select a specific URL or page that comes up for multiple long-tails for a consistent search persona type.
  • Examine on-page user scrolling and clicking behavior via your heatmap tool.
  • Look for places users pause, scroll past, or toggle back and forth between information. Strong behavioral patterns (skips, hesitations, long-tread times) point to places to better optimize page structure based on search persona type.

Once you’re done gathering information based on user behavioral patterns, audit your on-page modules, formats, and design capabilities to ensure you have all pieces needed to create pages that fulfill those specific needs.

Enlist your product and/or web design team to create what’s needed to serve a better on-page experience.

Then, include direction in each brief of what sort of modules and information structuring is needed based on search persona type.

3. Map To Topic Clusters In The Brief

Specific search personas naturally gravitate toward certain topics or proof points.

A searcher who uses technical language for their queries may cluster around integrations and APIs and need to see clear documentation is available for how to use them, while a user with economic or decision-making intent may cluster around ROI topics.

Build semantically related internal linking paths that explicitly connect those journeys for your SEO personas. Use your topic map (if you’ve built one) and revisit your keyword universe as needed.

4. Personas Should Inform Your AI-Assisted Workflows

Use search persona details as inputs to LLM prompts and/or incorporate them into your AI-assisted content generation, like AirOps workflows.

Instead of “write an article about X with the search intent of Y,” frame it as “write for a skeptical buyer evaluating vendors – include comparisons and third-party validation.”

Or better yet? Use your persona cards (see Personas Are Crucial for AI Search for a detailed guide) to help guide additional prompts personas might use in LLMs when attempting to solve queries related to your brand.

Below, take a look at how this could work in practice, using the four distinct AIO intent patterns from the additional analysis of the UX study of AIOs found in Trust Still Lives in Blue Links:

  1. Efficiency-first validations that reward clean, extractable facts (accepting of AIOs).
  2. Trust-driven validations that convert only with credibility (validate AIOs).
  3. Comparative validations that use AIOs but compare with multiple sources.
  4. Skeptical rejections that automatically distrust AIOs for high-stakes queries.

Let’s say you work for a fintech startup that provides easy-to-use business insurance for small to midsize businesses.

Here’s how you might use personas to inform content production for efficiency-first and trust-driven search behaviors:

Example 1: Junior operations coordinator at a 20-person marketing agency → accepting of AIOs (efficiency-first) → queries “What’s the average cost of business insurance for a 20-person company?” → Likely to validate range via the AIO → Takeaway for your brand: Create content geared to businesses with small teams and/or junior learners that includes straightforward facts and ranges that are easily extractable, so it’s cited in AIOs. Make your pricing explanations scannable and structured. Internally link to other knowledge guides for project managers or operations leads at small to midsize businesses.

Example 2: Small business owner in healthcare services → validate AIOs with second-clicks (trust-driven) → queries “Do I need business insurance for HIPAA compliance?” → Likely to read the AIO but won’t act until they see credible signals → citations from legal/insurance authorities → Takeaway for your brand: Position your content with authoritative references (link to .gov or .org sources) and highlight compliance expertise so your page is validated by trust; include case studies and/or social proof of authority; Internally link to other guides for healthcare service businesses.

How To Know Search Persona Implementation Is Working

Watch for these signals:

  • Higher engagement time and more downstream actions on the page.
  • Lower bounce rates on persona-driven pages.
  • More citations and visibility in AIOs and LLM outputs (your copy matches how users ask questions).
  • Increased assisted conversions: Pages designed for a specific persona show up more often in multi-touch journeys or are incorporated strategically and/or organically into follow-up communications by sales/customer teams.
  • Sales/Customer service team feedback loop: Fewer “this didn’t answer my question” moments.

Amanda jumping in here: In March of this last year, I led one of my clients to pivot hard to persona-focused content. Not only have we seen an increase in AIO inclusion, AI Mode citations, and LLM visibility for these niche terms, but we’ve also experienced a boost in visits to our core guides that were geared toward our broader audience. After this pivot, we’re seeing anywhere between a 20-60% month-over-month increase in organic visits from ChatGPT, and a ~40% increase month-over-month in visible AIO inclusion, to include our older core content as well. Although some of this growth is likely due to increased overall ChatGPT adoption and increase in Google’s use of AIOs across queries, here’s the takeaway (and my hypothesis): As you create niche content for personas, it’s possible you could also see a lift in your core content as it’s served to these specific groups of searchers – based on what these tools know about (1) the end user and (2) who your brand serves best. But only time (and more experiments) will truly tell.

The reality is, no matter how well you implement search personas into your SEO and content production, SEO and growth marketing teams can’t win on their own.

Search personas have the real opportunity to contribute to results when the rest of the org picks them up and runs with them throughout lead and customer touchpoints.

The trick is to make it dead-simple for every team to see why personas matter for their work and how to apply them.

Plus, a big advantage of bringing other teams on board is that SEO-driven personas – built from real search queries, prompts, social chatter, and call transcripts – arm everyone with the exact language customers use.

That means you can reduce hesitations, preemptively answer questions, and build trust across every channel of communication.

Below, here’s a quick list of guidance to help you collaborate with other teams on how to use search persona data.

And in the next section, I’ll jump into how to create intentional feedback loops so your personas stay fresh, useful, and relevant.

Email Marketing

  • Work with email teams to trigger sequences based on persona signals (query intent by pages visited, topics visited).
  • Example: If someone hits three pricing-related pages, route them into a nurture path designed for a search-data-informed persona that includes supportive content often visited by those users.
  • Benefit: Aligns your SEO insights with lifecycle marketing, reducing drop-off between discovery and conversion.

Paid Media And Advertising

  • Lift search-persona informed language directly into ad copy → track if it increases CTR because you’re speaking the way customers search.
  • Map objections to creatives: For example, run ads that emphasize compliance and audits if you have search data illustrating a segment of users who have detailed questions about security of your software.
  • Test messaging by persona to learn faster which angles convert.
  • Benefit: SEO persona research de-risks your paid spend by validating copy before it goes live.

Social And Community

  • Translate persona pain points into campaign themes and engagement prompts.
  • Highlight UGC that shows peers solving the same persona pain point = social proof!
  • Build Reddit or forum campaigns where you provide helpful answers framed through persona lenses.
  • Benefit: Social teams stop guessing what will resonate – they get ready-made hooks from organic customer query data and in-house transcript research.

Sales

  • Use personas to shape sales scripts to reduce organic hesitations, along with your follow-up email templates.
  • Provide a list of key characteristics or organic phrases discovered in your SEO user persona research for sales to easily pick up on what scripts or content to use.
  • Equip reps with content “proof kits” (case studies, calculators, benchmarks) that map to persona objections.
  • Example: Lead comes in from organic content around “integration headaches.” Sales can immediately address hesitations with comparison docs + customer proof.
  • Benefit: SEO insights close the loop. Your leads feel heard because the same language follows them from organic query to sales call.

Customer Support

  • Build FAQs, hub pages, and documentation around persona pain points and natural language so customers can self-serve faster.
  • Train reps on marketing and educational language developed for personas to keep communication consistent across the lifecycle.
  • Feed recurring support questions back to SEO/content as new opportunities.
  • Benefit: Less friction for customers, more organic opportunities uncovered for SEO.

Product And/Or Product Marketing

  • Tie persona insights to feature positioning: “Which persona is this release for?”
  • Test messaging against persona objections to see what sticks before launch.
  • Document frameworks: “For Persona A, highlight speed. For Persona B, highlight compliance.”
  • Benefit: SEO personas become market intelligence, not just marketing intel. This helps product teams ship smarter. Unanswered questions or unsolved organic problems are great opportunities for new features.

One of the biggest pitfalls with doing the work to create search personas is then treating them like static, lifeless relics afterward.

2015 B2B study conducted by Cintell found that 71% of companies who exceeded revenue goals had documented personas – and nearly two-thirds of those orgs had updated them within the last six months.

(Listen, I am well aware 2015 is approximately 47 internet years ago – but I’d argue core human decision-making behavior takes much longer to change than a decade.)

No matter the study’s age, the message rings true today: Marketing and user personas win when they’re kept alive.

SEO personas make this easier than traditional personas because they’re rooted in fluid signals, like real search queries, prompts, and customer language that evolve as quickly as the market and trends do.

If you’re closely monitoring GSC data, Semrush, or AIO/LLM interactions, you’ll see shifts in questions and pain points before most competitors.

Image Credit: Kevin Indig

How to operationalize a persona freshness feedback loop across your team:

  • Employ direct communication channels: Create dedicated Slack channels, a shared CRM note hub, or monthly syncs where Sales, Customers, and Marketing can drop fresh objections, questions, or hesitations they’re hearing. If you’ve got power users or partners who can drop in routine feedback and thoughts, even better.
  • Develop a regular review cadence: Run a quarterly refresh of persona pain points, objections, and query patterns. Layer in branded search trends, referral data, and AIO/LLM interactions to validate updates.
  • Create an escalation path: Set up a clear process for when a “new pain point” surfaces. Sales hears it first → SEO/content teams get it next → new content or updates ship fast → implement/inform across marketing channels. How do you make room for organic escalations in your SEO/content production systems?
  • Do hesitation check-ins: Bi-weekly or monthly cross-team reviews (Support + Sales + SEO) where you identify the top organic customer/lead hesitations and assign assets to resolve them: case studies, how-to videos, tools and calculators, testimonials/reviews, community feedback on social channels.
  • Hold a regular retro: Tie shipped assets back to KPIs. Which persona-driven pages moved the needle? Which didn’t? Prune or upgrade pages that aren’t solving the problem.

The big takeaway here is search personas are never one-and-done.

They’re a dynamic, qualitative and quantitative data-based operating system for your marketing, sales, and product teams … and if you keep the feedback loop tight, they’ll keep paying dividends.


Featured Image: Paulo Bobita/Search Engine Journal