SEO Strategy Archives SEO Strategy

Aug 6 2025

The Great Reversal: Why Agencies Are Replacing PPC With Predictable SEO via @sejournal, @mktbrew

This post was sponsored by Market Brew. The opinions expressed in this article are the sponsor’s own.

What if your client’s PPC budget could fund long-term organic growth instead?

Why do organic results dominate user clicks, but get sidelined in budget discussions?

Organic Drives 5x More Traffic Than PPC. Can We Prove It?

The Short Answer: Yes!

Over the past decade, digital marketers have witnessed a dramatic shift in how search budgets are allocated.

In the past decade, companies were funding SEO teams alongside PPC teams. However, a shift towards PPC-first has dominated the inbound marketing space.

Where Have SEO Budgets Gone?

Today, more than $150 billion is spent annually on paid search in the United States alone, while only $50 billion is invested in SEO.

That’s a 3-to-1 ratio, even though 90% of search clicks go to organic results, and only 10% to ads.

It’s not because paid search is more effective. Paid search is just easier to measure.

But that’s changing with the return of attribution within predictive SEO.

What Is Attribution?

Attribution in marketing is the process of identifying which touchpoints or channels contributed to a conversion or sale.

It helps us understand the customer journey so we can allocate budget more effectively and optimize campaigns for higher ROI.

As Google’s algorithms evolved, the cause-and-effect between SEO efforts and business outcomes became harder to prove.

Ranking fluctuations seemed random. Timelines stretched.

Clients became impatient.

Trackable Digital Marketing Has Destroyed SEO

With Google Ads, every dollar has a direct, reportable outcome:

Impressions.
Clicks.
Conversions.

SEO, by contrast, has long been:

A black box.

As a result, agencies and the clients that hire them followed the money, even when SEO’s results were higher.

PPC’s Direct Attribution Makes PPC Look More Important, But SEO Still Dominates

Hard facts:

SEO drives 5x more traffic than PPC.
Companies pay 3x more on PPC than SEO.

Image created by MarketBrew, August 2025

You Can Now Trace ROI Back To SEO

As a result, many SEO professionals and agencies want a way back to organic. Now, there is one, and it’s powered by attribution.

Attribution Is the Key to Measurable SEO Performance

Instead of sitting on the edge of the search engine’s black box, guessing what might happen, we can now go inside the SEO black box, to simulate how the algorithms behave, factor by factor, and observe exactly how rankings react to each change.

This is SEO with attribution.

Image created by MarketBrew, August 2025

With this model in place, you are no longer stuck saying “trust us.”

You can say, “Here’s what we changed. Here’s how rankings moved. Here’s the value of that movement.” Whether the change was a new internal link structure or a content improvement, it’s now visible, measurable, and attributable.

For the first time, SEO teams have a way to communicate performance in terms executives understand: cause, effect, and value.

This transparency is changing the way agencies operate. It turns SEO into a predictable system, not a gamble. And it arms client-facing teams with the evidence they need to justify the budget, or win it back.

How Agencies Are Replacing PPC With Measurable Organic SEO

For agencies, attribution opens the door to something much bigger than better reporting; it enables a completely new kind of offering: performance-based SEO.

Traditionally, SEO services have been sold as retainers or hourly engagements. Clients pay for effort, not outcomes. With attribution, agencies can now flip that model and say: You only pay when results happen.

Enter Market Brew’s AdShifted feature to model this value and success as shown here:

: Screenshot from a video by MarketBrew, August 2025

The AdShift tool starts by entering a keyword to discover up to 4* competitive URLs for the Keyword’s Top Clustered Similarities. (*including your own website plus 4 top-ranking competitors)

: Screenshot of PPC vs. MarketBrew comparison dashboard by Marketbrew, August 2025

AdShift averages CPC and search volume across all keywords and URLs, giving you a reliable market-wide estimate and details for your brand towards a monthly PPC investment to rank #1.

: Screenshot of a dashboard by Marketbrew, August 2025

AdShift then calculates YOUR percentage of replacement for PPC to fund SEO.

This allows you to model your own Performance Plan with variable discounts available to the Market Brew license fees with an always less than 50% of PPC Fee for clicks replaced by new SEO traffic.

: Screenshot of a dashboard by Marketbrew, August 2025

AdShift simulates a PPC replacement plan option selected based on its keywords footprint to instantly see savings from the associated Performance Plans.

That’s the heart of the PPC replacement plan: a strategy you can use to gradually shift a clients’ paid search budgets into measurable performance-based SEO.

What Is A PPC Replacement Plan? Trackable SEO.

A PPC replacement plan is a strategy in which agencies gradually shift their clients’ paid search budgets into organic investments, with measurable outcomes and shared performance incentives.

Here’s how it works:

Benchmark Paid Spend: Identify the current Google Ads budget, i.e., $10,000 per month or $120,000 per year.
Forecast Organic Value: Use search engine modeling to predict the lift in organic traffic from specific SEO tasks.
Execute & Attribute: Complete tasks and monitor real-time changes in rankings and traffic.
Charge on Impact: Instead of billing for time, bill for results, often at a fraction of the client’s former ad spend.

This is not about replacing all paid spend.

Branded queries and some high-value targets may remain in PPC. But for the large, expensive middle of the keyword funnel, agencies can now offer a smarter path: predictable, attributable organic results, at a lower cost-per-click, with better margins.

And most importantly, instead of lining Google’s pockets with PPC revenue, your investments begin to fuel both organic and LLM searches!

Real-World Proof That SEO Attribution Works

Agencies exploring this new attribution-powered model aren’t just intrigued … they’re energized. For many, it’s the first time in years that SEO feels like a strategic growth engine, not just a checklist of deliverables.

“We’ve pitched performance SEO to three clients this month alone,” said one digital strategy lead. “The ability to tie ranking improvements to specific tasks changed the entire conversation.”

– Sean Myers, CEO, ThreeTech

Another partner shared,

“Instead of walking into meetings looking to justify an SEO retainer, we enter with a blueprint representing a SEO/GEO/AEO Search Engine’s ‘digital twin’ with the AI-driven tasks that show exactly what needs to be changed and the rankings it produces. Clients don’t question the value … they ask what’s next.”

– Stephen Heitz, Chief Innovation Officer, LAVIDGE

Several agencies report that new business wins are increasing simply because they offer something different. While competitors stick to vague SEO promises or expensive PPC management, partners leveraging attribution offer clarity, accountability, and control.

And when the client sees that they’re paying less and getting more, it’s not a hard sell, it’s a long-term relationship.

A Smarter, More Profitable Model for Agencies and SEOs

The traditional agency model in search has become a maze of expectations.

Managing paid search may deliver short-term wins, but it comes to a bidding war with only those with the biggest budgets winning. SEO, meanwhile, has often felt like a thankless task … necessary but underappreciated, valuable but difficult to prove.

Attribution changes that.

For agencies, this is a path back to profitability and positioning. With attribution, you’re not just selling effort … you’re selling outcomes. And because the work is modeled and measured in advance, you can confidently offer performance plans that are both client-friendly and agency-profitable.

For SEOs, this is about getting the credit they deserve. Attribution allows practitioners to demonstrate their impact in concrete terms. Rankings don’t just move, … they move because of you. Traffic increases aren’t vague, … they’re connected to your specific strategies.

Now, you can show this.

Most importantly, this approach rebuilds trust.

Clients no longer have to guess what’s working. They see it. In dashboards, in forecasts, in side-by-side comparisons of where they were and where they are now. It restores SEO to a place of clarity and control where value is obvious, and investment is earned.

The industry has been waiting for this. And now, it’s here.

From PPC Dependence to Organic Dominance — Now Backed by Data

Search budgets have long been upside down, pouring billions into paid clicks that capture a mere fraction of user attention, while underfunding the organic channel that delivers lasting value.

Why? Because SEO lacked attribution.

That’s no longer the case.

Today, agencies and SEO professionals have the tools to prove what works, forecast what’s next, and get paid for the real value they deliver. It’s a shift that empowers agencies to move beyond bidding-war PPC management and into a lower cost & higher ROAS, performance-based SEO.

This isn’t just a new service mode it’s a rebalancing of power in search.

Organic is back. It’s measurable. It’s profitable. And it’s ready to take center stage again.

The only question is: will you be the agency or brand that leads the shift or watch as others do it first?

Citations

Get Your Predictable SEO Plan

Image Credits

Featured Image: Image by Market Brew. Used with permission.

In-Post Image: Images by Market Brew. Used with permission.

Ecommerce MGMT 0 Comments

Aug 4 2025

How AI Search Should Be Shaping Your CEO’s & CMO’s Strategy [Webinar] via @sejournal, @theshelleywalsh

AI is rapidly changing the rules of SEO. From generative ranking to vector search, the new rules are not only technical but also reshaping how business leaders make decisions.

Join Dan Taylor on August 14, 2025, for an exclusive SEJ Webinar tailored for C-suite executives and senior leaders. In this session, you’ll gain essential insights to understand and communicate SEO performance in the age of AI.

Here’s what you’ll learn:

AI Search Is Impacting Everything. Are You Ready?

AI search is already here, and it’s impacting everything from SEO KPIs to customer journeys. This webinar will give you the tools to lead your teams through the shift with confidence and precision.

Register now for a business-first perspective on AI search innovation. If you can’t attend live, don’t worry. Sign up anyway, and we’ll send you the full recording.

Ecommerce MGMT 0 Comments

Jul 30 2025

How To Win In Generative Engine Optimization (GEO) via @sejournal, @maltelandwehr

This post was sponsored by Peec.ai. The opinions expressed in this article are the sponsor’s own.

The first step of any good GEO campaign is creating something that LLM-driven answer machines actually want to link out to or reference.

GEO Strategy Components

Think of experiences you wouldn’t reasonably expect to find directly in ChatGPT or similar systems:

Engaging content like a 3D tour of the Louvre or a virtual reality concert.
Live data like prices, flight delays, available hotel rooms, etc. While LLMs can integrate this data via APIs, I see the opportunity to capture some of this traffic for the time being.
Topics that require EEAT (experience, expertise, authoritativeness, trustworthiness).

LLMs cannot have first-hand experience. But users want it. LLMs are incentivized to reference sources that provide first-hand experience. That’s just one of the things to keep in mind, but what else?

We need to differentiate between two approaches: influencing foundational models versus influencing LLM answers through grounding. The first is largely out of reach for most creators, while the second offers real opportunities.

Influencing Foundational Models

Foundational models are trained on fixed datasets and can’t learn new information after training. For current models like GPT-4, it is too late – they’ve already been trained.

But this matters for the future: imagine a smart fridge stuck with o4-mini from 2025 that might – hypothetically – favor Coke over Pepsi. That bias could influence purchasing decisions for years!

Optimizing For RAG/Grounding

When LLMs can’t answer from their training data alone, they use retrieval augmented generation (RAG) – pulling in current information to help generate answers. AI Overviews and ChatGPT’s web search work this way.

As SEO professionals, we want three things:

Our content gets selected as a source.
Our content gets quoted most within those sources.
Other selected sources support our desired outcome.

Concrete Steps To Succeed With GEO

Don’t worry, it doesn’t take rocket science to optimize your content and brand mentions for LLMs. Actually, plenty of traditional SEO methods still apply, with a few new SEO tactics you can incorporate into your workflow.

Step 1: Be Crawlable

Sounds simple but it is actually an important first step. If you aim for maximum visibility in LLMs, you need to allow them to crawl your website. There are many different LLM crawlers from OpenAI, Anthropic & Co.

Some of them behave so badly that they can trigger scraping and DDoS preventions. If you are automatically blocking aggressive bots, check in with your IT team and find a way to not block LLMs you care about.

If you use a CDN, like Fastly or Cloudflare, make sure LLM crawlers are not blocked by default settings.

Step 2: Continue Gaining Traditional Rankings

The most important GEO tactic is as simple as it sounds. Do traditional SEO. Rank well in Google (for Gemini and AI Overviews), Bing (for ChatGPT and Copilot), Brave (for Claude), and Baidu (for DeepSeek).

Step 3: Target the Query Fanout

The current generation of LLMs actually does a little more than simple RAG. They generate multiple queries. This is called query fanout.

For example, when I recently asked ChatGPT “What is the latest Google patent discussed by SEOs?”, it performed two web searches for “latest Google patent discussed by SEOs patent 2025 SEO forum” and “latest Google patent SEOs 2025 discussed”.

Advice: Check the typical query fanouts for your prompts and try to rank for those keywords as well.

Typical fanout-patterns I see in ChatGPT are appending the term “forums” when I ask what people are discussing and appending “interview” when I ask questions related to a person. The current year (2025) is often added as well.

Beware: fanout patterns differ between LLMs and can change over time. Patterns we see today may not be relevant anymore in 12 months.

Step 4: Keep Consistency Across Your Brand Mentions

This is something simple everyone should do – both as a person and an enterprise. Make sure you are consistently described online. On X, LinkedIn, your own website, Crunchbase, Github – always describe yourself the same way.

If your X and LinkedIn profiles say you are a “GEO consultant for small businesses”, don’t change it to “AIO expert” on Github and “LLMO Freelancer” in your press releases.

I have seen people achieve positive results within a few days on ChatGPT and Google AI Overviews by simply having a consistent self description across the web. This also applies to PR coverage – the more and better coverage you can obtain for your brand, the more likely LLMs are to parrot it back to users.

Step 5: Avoid JavaScript

As an SEO, I always ask for as little JavaScript usage as possible. As a GEO, I demand it!

Most LLM crawlers cannot render JavaScript. If your main content is hidden behind JavaScript, you are out.

Step 6: Embrace Social Media & UGC

Unsurprisingly, LLMs seem to rely on reddit and Wikipedia a lot. Both platforms offer user-generated-content on virtually every topic. And thanks to multiple layers of community-driven moderation, a lot of junk and spam is already filtered out.

While both can be gamed, the average reliability of their content is still far better than on the internet as a whole. Both are also regularly updated.

reddit also provides LLM labs with data into how people discuss topics online, what language they use to describe different concepts, and knowledge on obscure niche topics.

We can reasonably assume that moderated UGC found on platforms like reddit, Wikipedia, Quora, and Stackoverflow will stay relevant for LLMs.

I do not advocate spamming these platforms. However, if you can influence how you and competitors show up there, you might want to do so.

Step 7: Create For Machine-Readability & Quotability

Write content that LLMs understand and want to cite. No one has figured this one out perfectly yet, but here’s what seems to work:

Use declarative and factual language. Instead of writing “We are kinda sure this shoe is good for our customers”, write “96% of buyers have self-reported to be happy with this shoe.”
Add schema. It has been debated many times. Recently, Fabrice Canel (Principal Product Manager at Bing) confirmed that schema markup helps LLMs to understand your content.
If you want to be quoted in an already existing AI Overview, have content with similar length to what is already there. While you should not just copy the current AI Overview, having high cosine similarly helps. And for the nerds: yes, given normalization, you can of course use the dot product instead of cosine similarity.
If you use technical terms in your content, explain them. Ideally in a simple sentence.
Add summaries of long text paragraphs, lists of reviews, tables, videos, and other types of difficult-to-cite content formats.

Step 8: Optimize your Content

Start of the paper GEO: Generative Engine Optimization (arXiv:2311.09735)

The original GEO paper

If we look at GEO: Generative Engine Optimization (arXiv:2311.09735) , What Evidence Do Language Models Find Convincing? (arXiv:2402.11782v1), and similar scientific studies, the answer is clear. It depends!

To be cited for some topics in some LLMs, it helps to:

Add unique words.
Have pro/cons.
Gather user reviews.
Quote experts.
Include quantitative data and name your sources.
Use easy to understand language.
Write with positive sentiment.
Add product text with low perplexity (predictable and well-structured).
Include more lists (like this one!).

However, for other combinations of topics and LLMs, these measures can be counterproductive.

Until broadly accepted best practices evolve, the only advice I can give is do what is good for users and run experiments.

Step 9: Stick to the Facts

For over a decade, algorithms have extracted knowledge from text as triples like (Subject, Predicate, Object) — e.g., (Lady Liberty, Location, New York). A text that contradicts known facts may seem untrustworthy. A text that aligns with consensus but adds unique facts is ideal for LLMs and knowledge graphs.

So stick to the established facts. And add unique information.

Step 10: Invest in Digital PR

Everything discussed here is not just true for your own website. It is also true for content on other websites. The best way to influence it? Digital PR!

The more and better coverage you can obtain for your brand, the more likely LLMs are to parrot it back to users.

I have even seen cases where advertorials were used as sources!

Concrete GEO Workflows To Try

Before I joined Peec AI, I was a customer. Here is how I used the tool – and how I advise our customers to use it.

Learn Who Your Competitors Are

Just like with traditional SEO, using a good GEO tool will often reveal unexpected competitors. Regularly look at a list of automatically identified competitors. For those who surprise you, check in which prompts they are mentioned. Then check the sources that led to their inclusion. Are you represented properly in these sources? If not, act!

Is a competitor referenced because of their PeerSpot profile but you have zero reviews there? Ask customers for a review.

Was your competitor’s CEO interviewed by a Youtuber? Try to get on that show as well. Or publish your own videos targeting similar keywords.

Is your competitor regularly featured on top 10 lists where you never make it to the top 5? Offer the publisher who created the list an affiliate deal they cannot decline. With the next content update, you’re almost guaranteed to be the new number one.

Understand the Sources

When performing search grounding, LLMs rely on sources.

Look at the top sources for a large set of relevant prompts. Ignore your own website and your competitors for a second. You might find some of these:

A community like Reddit or X. Become part of the community and join the discussion. X is your best bet to influence results on Grok.
An influencer-driven website like YouTube or TikTok. Hire influencers to create videos. Make sure to instruct them to target the right keywords.
An affiliate publisher. Buy your way to the top with higher commissions.
A news and media publisher. Buy an advertorial and/or target them with your PR efforts. In certain cases, you might want to contact their commercial content department.

You can also check out this in-depth guide on how to deal with different kinds of source domains.

Target Query Fanout

Once you have observed which searches are triggered by query fanout for your most relevant prompts, create content to target them.

On your own website. With posts on Medium and LinkedIn. With press releases. Or simply by paying for article placements. If it ranks well in search engines, it has a chance to be cited by LLM-based answer engines.

Position Yourself for AI-Discoverability

Generative Engine Optimization is no longer optional – it’s the new frontline of organic growth. At Peec AI, we’re building the tools to track, influence, and win in this new ecosystem.

Generative Engine Optimization is no longer optional – it’s the new frontline of organic growth. We currently see clients growing their LLM traffic by 100% every 2 to 3 months. Sometimes with up to 20x the conversation rate of typical SEO traffic!

Whether you’re shaping AI answers, monitoring brand mentions, or pushing for source visibility, now is the time to act. The LLMs consumers will trust tomorrow are being trained today.

Try Peec AI

Image Credits

Featured Image: Image by Peec.ai Used with permission.

Ecommerce MGMT 0 Comments

Jul 23 2025

AI Search is Here: Make Sure Your Brand Stands Out In The New Era Of SEO [Webinar] via @sejournal, @lorenbaker

Wish you could control what AI says about your brand?

You’re not alone.

As generative search becomes the default for tools like ChatGPT, Gemini, and Claude, fewer people are clicking through to traditional search results. If your content isn’t part of their training data or grounding sources, it’s effectively invisible.

And that means one thing: you’re no longer just optimizing for humans or search engines. You’re optimizing for machines that summarize the internet.

Introducing Generative Engine Optimization (GEO)

In this tactical webinar, we’ll break down what it takes to get your brand cited, linked, and quoted in AI-generated content, intentionally.

You’ll discover:

How to show up in AI search results.
Ways to increase your AIO (AI Overview) brand presence.
Proven SEO & GEO workflows you can copy today.

Learn How To Influence LLMs

This isn’t theory. We’ll walk through the specific strategies SEOs and marketers are using right now to shape what language models say, and don’t say, about their brands.

Expect insights on:

How foundational training data is gathered (and how you might influence it).
The role of search and retrieval-based answers (RAG) in real-time LLM responses.
What makes content “quotable” to machines, and what gets ignored.

Stay Visible As AI Search Becomes The Default

AI search isn’t coming. It’s here. And it’s rewriting how visibility works.

In this session, you’ll learn:

Why traditional SEO tactics still matter (especially for citation).
How query fanout and grounding shape which documents LLMs pull from.
Which formats and language structures improve your chances of being cited.

This is for SEOs, content strategists, and marketing leads who want to stay relevant as AI redefines the playing field.

Why This Webinar Is A Must-Attend

Whether you’re refining your search strategy or trying to future-proof your brand visibility, this session offers high-ROI insights you can apply immediately.

✅ Actionable examples

✅ Real-world GEO workflows

✅ Early looks at emerging standards like MCP, A2A, and llms.txt

📍 Designed for experienced marketers ready to lead change.

Reserve Your Spot Or Get The Recording

🛑 Can’t make it live? No problem. Register anyway, and we’ll send you the full recording so you don’t miss a thing.

Ecommerce MGMT 0 Comments

Jul 17 2025

Your Reviews Are Ranking You (Or Not): How to Stay Visible in Google’s AI Era

This post was sponsored by GatherUp. The opinions expressed in this article are the sponsor’s own.

If your business has a great local, word-of-mouth reputation but very few online reviews, does it even exist?

That’s the existential riddle facing local businesses and agencies in 2025.

With Google’s AI Overviews (AIOs) now reshaping the search experience, visibility isn’t just about being “the best.”

It’s about being part of the summary.

And reviews? They’re no longer just trust signals. They’re ranking signals.

This article breaks down what’s changing, what’s working, and how agencies can keep their clients visible across both traditional local search and Google’s evolving AI layer.

Reviews Are Now A Gateway To Search Inclusion

Reviews have long been seen as conversion tools, helping users decide between businesses they’ve already discovered. But that role is evolving.

In the era of Google’s AI Overviews (AIOs), reviews are increasingly acting as discovery signals, helping determine which businesses get included in the first place.

GatherUp’s 2024 Online Reputation Benchmark Report shows that businesses with consistent, multi-channel review strategies, especially those generating both first- and third-party reviews, saw stronger reputation signals across volume, recency, and engagement. These are the exact kinds of signals that Google’s systems now appear to prioritize in AI-generated results.

That observation is reinforced by recent industry research and leaked Google documentation, which suggest that review characteristics like click-throughs, content depth, and freshness contribute to both local pack visibility and AIO inclusion.

In other words, the businesses getting summarized at the top of the SERP aren’t just highly rated. They’re actively reviewed, broadly cited, and seen as credible across sources Google trusts.

Recency Is A Signal. “Relevance” Is Google’s Shortcut.

More than two-thirds of consumers say they prioritize recent reviews when evaluating a business. But Google doesn’t necessarily show them first.

Instead, Google’s “Most Relevant” filter may prioritize older reviews that match query terms, even if they no longer reflect the current customer experience.

That’s why it’s critical for businesses to maintain steady review velocity. A flood of reviews in January followed by silence for six months won’t cut it. The AI layer, and the human reader, needs signals that say “this business is active and trustworthy right now.”

For agencies, this presents an opportunity to shift client mindset from static review goals to ongoing review strategies.

Star Ratings Still Matter, But Mostly As A Decision Shortcut

During our recent webinar with Search Engine Journal, we explored how consumers are using star ratings to disqualify options, not differentiate them.

Research shows:

73% of consumers won’t consider businesses with fewer than 4 stars
But 69% are still open to doing business with brands that fall short of a perfect 5.0, so long as the reviews are recent and authentic

In other words, people are looking for a “safe” choice, not a flawless one.

A few solid 4-star reviews with real detail from the past week often carry more weight than a dozen perfect ratings from 2021.

Agencies should help clients understand this nuance, especially those who are hesitant to request reviews out of fear of imperfection.

First-Party & Third-Party Reviews: Both Are Necessary

AI Overviews aggregate information from across the web, including structured data from your own website and unstructured commentary from others.

First-party reviews: These are collected and hosted directly on the business’s website. They can be marked up with schema, giving Google structured, machine-readable content to use in summaries and answer boxes.
Third-party reviews: These appear on platforms like Google, Yelp, Facebook, TripAdvisor, and Reddit. They’re often seen as more objective and are more frequently cited in AI Overviews.

Businesses that show up consistently across both types are more likely to be included in AIOs, and appear trustworthy to users.

GatherUp supports multi-source review generation, schema markup for first-party feedback, and rotating requests across platforms. This makes it easier for agencies to build a review presence that supports both local SEO and AIO visibility.

AIOs Pull From More Than Just Google Reviews

According to recent data from Whitespark, over 60% of citations in AI Overviews come from non-Google sources. This includes platforms like:

Reddit.
TripAdvisor.
Yelp.
Local blogs and industry-specific directories.

If your client’s reviews live only on Google, they risk being overlooked entirely.

Google’s AI is scanning for what it deems “experience-based” content, unfiltered, authentic commentary from real people. And it prefers to cross-reference multiple sources to confirm credibility.

Agencies should encourage clients to broaden their review footprint and seek mentions in trusted third-party spaces. Dynamic review flows, QR codes, and conditional links can help diversify requests without overburdening the customer.

Responses Influence Visibility & Build Trust

Review responses are no longer just a nice gesture. They’re part of the algorithmic picture.

GatherUp’s benchmark research shows:

92% of consumers say responding to reviews is now part of basic customer service.
73% will give a business a second chance if their complaint receives a thoughtful reply.

But there’s also a technical upside. When reviews are clicked, read, and expanded, they generate engagement signals that may impact local rankings. And if a business’s reply includes resolution details or helpful context, it increases the content depth of that listing.

For agencies juggling multiple clients, automation helps. GatherUp offers AI-powered suggested responses that retain brand tone and ensure timely replies, without sounding robotic.

How Agencies Can Make AIO Part Of Their Core Strategy

Google’s AI systems are designed to answer user questions directly, often without requiring a click. That means review content is increasingly shaping brand narratives within the SERP.

To adapt, agencies should align client visibility efforts across both search formats:

For Local Pack Optimization

Keep Google Business Profile listings fully updated (photos, categories, Q&A).
Build and maintain steady review velocity using email, SMS, and in-person requests.
Respond to reviews regularly, especially nuanced or negative ones.

For AIO Inclusion

Collect first-party reviews and mark them up with schema.
Rotate requests to third-party platforms based on vertical relevance.
Capture reviews with photo uploads and detailed descriptions.
Build unstructured citations through community involvement, media mentions, and event participation.

Download Our Complete Proactive Reputation Management Playbook for Digital Agencies for templates and workflows to operationalize this as a branded, revenue-generating service.

Reputation Is No Longer Separate From Rankings

AI Overviews now appear in nearly two-thirds of local business search queries. That means your clients’ next customers may form an impression—or make a decision—before ever clicking through to a website or map pack listing.

Visibility is no longer guaranteed. It’s earned through content, coverage, and credibility.

And reviews sit at the center of all three.

For agencies, this is a moment of opportunity. You already have the tools to guide clients through the shift. You know how to structure content, build citations, and amplify voices that resonate with customers.

Reputation management isn’t optional anymore. It’s infrastructure.

About GatherUp

GatherUp is the only proactive reputation management platform purpose-built for digital agencies. We help you build, manage, and defend your clients’ online reputations.

GatherUp supports:

First- and third-party review generation across multiple platforms,
Schema-marked up feedback collection for AIO relevance,
Intelligent, AI-assisted response workflows,
Seamless white-labeling for full agency control,
Scalable review operations tools that can help you manage 10 or 10,000 locations and clients.

Agencies who use GatherUp don’t just react to algorithm changes. They shape client visibility, and defend it.

To learn more, watch the full webinar for actionable strategies, data-backed insights, and examples of AIO-influenced local search in the wild.

Watch the full webinar

Image Credits

Featured Image: Image by GatherUp. Used with permission.

Ecommerce MGMT 0 Comments

Jun 18 2025

AIO Hurting Traffic? How To Identify True Loss With GA4, GSC & Rank Tracking [Webinar] via @sejournal, @lorenbaker

Wondering if AI Overviews (AIOs) are stealing your clicks?

Are these AI answer engines eating into our traffic, or just changing the shape of it?

Google’s AI Overviews now appear on up to 40% of search queries, but what impact are they really having?

Stop Guessing. How To Measure AIO’s Real Impact

Get the on-demand webinar, where we explore the three main tools that can help you:

In this tactical on-demand session, Tom Capper, Sr. Search Scientist at STAT, will walk you through a practical framework for assessing AIO impact using three tools you already rely on.

You’ll learn to pinpoint if, where, and how AIOs affect your traffic so that you can respond with clarity, not guesswork.

Start Measuring the Real Impact of AIOs on SERPs Today

Don’t rely on assumptions.

Grab this free on-demand webinar now to accompany the slides below; uncover if AIOs are actually hurting your traffic, and what to do about it.

Join Us For Our Next Webinar!

Lead Local SEO: How To AI-Proof Your Rankings With Reviews

Join Mél Attia, Sr. Marketing Manager at GatherUp, as she shows how consumer trust and AI updates are reshaping Local SEO, and how agencies can lead the way.

Ecommerce MGMT 0 Comments

Jun 17 2025

See What AI Sees: AI Mode Killed the Old SEO Playbook — Here’s the New One via @sejournal, @mktbrew

This post was sponsored by MarketBrew. The opinions expressed in this article are the sponsor’s own.

Is Google using AI to censor thousands of independent websites?

Wondering why your traffic has suddenly dropped, even though you’re doing SEO properly?

Between letters to the FTC describing a systematic dismantling of the open web by Google to SEO professionals who may be unaware that their strategies no longer make an impact, these changes represent a definite re-architecting of the web’s entire incentive structure.

It’s time to adapt.

While some were warning about AI passage retrieval and vector scoring, the industry largely stuck to legacy thinking. SEOs continued to focus on E-E-A-T, backlinks, and content refresh cycles, assuming that if they simply improved quality, recovery would come.

But the rules had changed.

Google’s Silent Pivot: From Keywords to Embedding Vectors

In late 2023 and early 2024, Google began rolling out what it now refers to as AI Mode.

What Is Google’s AI Mode?

AI Mode breaks content into passages, embeds those passages into a multi-dimensional vector space, and compares them directly to queries using cosine similarity.

In this new model, relevance is determined geometrically rather than lexically. Instead of ranking entire pages, Google evaluates individual passages. The most relevant passages are then surfaced in a ChatGPT-like interface, often without any need for users to click through to the source.

Beneath this visible change is a deeper shift: content scoring has become embedding-first.

What Are Embedding Vectors?

Embedding vectors are mathematical representations of meaning. When Google processes a passage of content, it converts that passage into a vector, a list of numbers that captures the semantic context of the text. These vectors exist in a multi-dimensional space where the distance between vectors reflects how similar the meanings are.

Instead of relying on exact keywords or matching phrases, Google compares the embedding vector of a search query to the embedding vectors of individual passages. This allows it to identify relevance based on deeper context, implied meaning, and overall intent.

Traditional SEO practices like keyword targeting and topical coverage do not carry the same weight in this system. A passage does not need to use specific words to be considered relevant. What matters is whether its vector lands close to the query vector in this semantic space.

How Are Embedding Vectors Different From Keywords?

Keywords focus on exact matches. Embedding vectors focus on meaning.

Traditional SEO relied on placing target terms throughout a page. But Google’s AI Mode now compares the semantic meaning of a query and a passage using embedding vectors. A passage can rank well even if it doesn’t use the same words, as long as its meaning aligns closely with the query.

This shift has made many SEO strategies outdated. Pages may be well-written and keyword-rich, yet still underperform if their embedded meaning doesn’t match search intent.

What SEO Got Wrong & What Comes Next

The story isn’t just about Google changing the game, it’s also about how the SEO industry failed to notice the rules had already shifted.

Don’t: Misread the Signals

As rankings dropped, many teams assumed they’d been hit by a quality update or core algorithm tweak. They doubled down on familiar tactics: improving E-E-A-T signals, updating titles, and refreshing content. They pruned thin pages, boosted internal links, and ran audits.

But these efforts were based on outdated models. They treated the symptom, visibility loss, not the cause: semantic drift.

Semantic drift happens when your content’s vector no longer aligns with the evolving vector of search intent. It’s invisible to traditional SEO tools because it occurs in latent space, not your HTML.

No amount of backlinks or content tweaks can fix that.

This wasn’t just platform abuse. It was also a strategic oversight.

SEO teams:

Many believed that doing what Google said, improving helpfulness, pruning content, and writing for humans, would be enough.

That promise collapsed under AI scrutiny.

But we’re not powerless.

Don’t: Fall Into The Trap of Compliance

Google told the industry to “focus on helpful content,” and SEOs listened, through a lexical lens. They optimized for tone, readability, and FAQs.

But “helpfulness” was being determined mathematically by whether your vectors aligned with the AI’s interpretation of the query.

Thousands of reworked sites still dropped in visibility. Why? Because while polishing copy, they never asked: Does this content geometrically align with search intent?

Do: Optimize For Data, Not Keywords

The new SEO playbook begins with a simple truth: you are optimizing for math, not words.

The New SEO Playbook: How To Optimize For AI-Powered SERPs

Here’s what we now know:

AI Mode is real and measurable.
✅You can calculate embedding similarity.
✅You can test passages against queries.
✅You can visualize how Google ranks.
Content must align semantically, not just topically.
✅Two pages about “best hiking trails” may be lexically similar, but if one focuses on family hikes and the other on extreme terrain, their vectors diverge.
Authority still matters, but only after similarity.
✅The AI Mode fan-out selects relevant passages first. Authority reranking comes later.
✅If you don’t pass the similarity threshold, your authority won’t matter.
Passage-level optimization is the new frontier.
✅Optimizing entire pages isn’t enough. Each chunk of content must pull semantic weight.

How Do I Track Google AI Mode Data To Improve SERP Visibility?

It depends on your goals; for success in SERPs, you need to focus on tools that not only show you visibility data, but also how to get there.

Profound was one of the first tools to measure whether content appeared inside large language models, essentially offering a visibility check for LLM inclusion. It gave SEOs early signals that AI systems were beginning to treat search results differently, sometimes surfacing pages that never ranked traditionally. Profound made it clear: LLMs were not relying on the same scoring systems that SEOs had spent decades trying to influence.

But Profound stopped short of offering explanations. It told you if your content was chosen, but not why. It didn’t simulate the algorithmic behavior of AI Mode or reveal what changes would lead to better inclusion.

That’s where simulation-based platforms came in.

Market Brew approached the challenge differently. Instead of auditing what was visible inside an AI system, they reconstructed the inner logic of those systems, building search engine models that mirrored Google’s evolution toward embeddings and vector-based scoring. These platforms didn’t just observe the effects of AI Mode, they recreated its mechanisms.

As early as 2023, Market Brew had already implemented:

Passage segmentation that divides page content into consistent ~700-character blocks.
Embedding generation using Sentence-BERT to capture the semantic fingerprint of each passage.
Cosine similarity calculations to simulate how queries match specific blocks of content, not just the page as a whole.
Thematic clustering algorithms, like Top Cluster Similarity, to determine which groupings of passages best aligned with a search intent.

🔍 Market Brew Tutorial: Mastering the Top Cluster Similarity Ranking Factor | First Principles SEO

This meant users could test a set of prompts against their content and watch the algorithm think, block by block, similarity score by score.

Where Profound offered visibility, Market Brew offered agency.

Instead of asking “Did I show up in an AI overview?”, simulation tools helped SEOs ask, “Why didn’t I?” and more importantly, “What can I change to improve my chances?”

By visualizing AI Mode behavior before Google ever acknowledged it publicly, these platforms gave early adopters a critical edge. The SEOs using them didn’t wait for traffic to drop before acting, they were already optimizing for vector alignment and semantic coverage long before most of the industry knew it mattered.

And in an era where rankings hinge on how well your embeddings match a user’s intent, that head start has made all the difference.

Visualize AI Mode Coverage. For Free.

SEO didn’t die. It transformed, from art into applied geometry.

AI Mode Visualizer Tutorial

To help SEOs adapt to this AI-driven landscape, Market Brew has just announced the AI Mode Visualizer, a free tool that simulates how Google’s AI Overviews evaluate your content:

Enter a page URL.
Input up to 10 search prompts or generate them automatically from a single master query using LLM-style prompt expansion.
See a cosine similarity matrix showing how each content chunk (700 characters) for your page aligns with each intent.
Click any score to view exactly which passage matched, and why.

🔗 Try the AI Mode Visualizer

This is the only tool that lets you watch AI Mode think.

Two Truths, One Future

Nate Hake is right: Google restructured the game. The data reflects an industry still catching up to the new playbook.

Because two things can be true:

Google may be clearing space for its own services, ad products, and AI monopolies.
And many SEOs are still chasing ghosts in a world governed by geometry.

It’s time to move beyond guesses.

If AI Mode is the new architecture of search, we need tools that expose how it works, not just theories about what changed.

We were bringing you this story back in early 2024, before AI Overviews had a name, explaining how embeddings and vector scoring would reshape SEO.

Tools like the AI Mode Visualizer offer a rare chance to see behind the curtain.

Use it. Test your assumptions. Map the space between your content and modern relevance.

Search didn’t end.

But the way forward demands new eyes.

Book Your AI Mode Strategy Session

________________________________________________________________________________________________

Image Credits

Featured Image: Image by MarketBrew. Used with permission.

Ecommerce MGMT 0 Comments

Jun 2 2025

How To Create An SEO Roadmap That Actually Drives Results via @sejournal, @coreydmorris

Many companies approach SEO reactively – chasing rankings, responding to algorithm updates, being distracted by AI, or focusing on quick wins – without a long-term plan.

But successful SEO strategies start with a structured roadmap that aligns with business objectives, technical priorities, and content planning.

Planning isn’t an exciting term, and many planning processes are never-ending, poorly defined, or difficult to translate into an impactful deliverable.

I get it. SEO is a discipline that requires a lot of iterative updates, testing, learning, and can have a seemingly infinite number of ways to stack your tactics to end at the same goal result.

I will point out, though, that if you’ve ever been disillusioned with the results you received or the (lack) of return on investment in time or resources, you may not have had a strong enough plan or detailed enough roadmap guiding the process.

To help give you a better opportunity to reach goals and reduce future regrets, I’m going to walk through what should go into a strategic, results-driven SEO roadmap, including:

Aligning SEO with business objectives and outcomes.
Setting realistic SEO goals with clear key performance indicators (KPIs).
Prioritizing SEO tactics and tasks.
Bonus: Seeing it through to success.

Aligning SEO With Business Objectives And Outcomes

This isn’t a new topic, and it is also not one that is exclusive to just SEO as a digital marketing channel. However, it is critical.

Digital marketing doesn’t have to be an expensive line item. It can (and should) be an investment, and investments expect a return.

If you’re a CMO or in marketing leadership, you feel this expectation daily.

If you’re deep in the details, wearing a digital marketing or SEO specialist hat, you likely have recurring conversations with those who are trying to quantify your efforts further.

Your plan needs to have a clearly defined set of goals. SEO (like most marketing initiatives) can’t fix brand, product, customer service, or retention problems in a business.

Whether in a dedicated SEO role, or a broader digital marketing one, or even in leadership, I can attest to how uncomfortable it can be when company politics, silos, and other barriers exist.

It is much easier to just do the things you can control and not wade into messes.

If you don’t have business outcomes defined and aligned with your SEO KPIs, though, at some point, someone is going to ask and want to connect the dots between the efforts and resources and how it impacts the bottom line of the organization.

I recommend getting people at the highest levels possible, as well as the broader business plans, metrics, and overall performance, connected with those doing SEO, to utilize in the roadmap.

That way, when down the road things are happening at a technical or detailed level and questions arise about the direction of the plan and resources, there’s a business-case foundation.

Setting Realistic SEO Goals With Clear KPIs

Sometimes goals are dictated to us, and in other cases, things are wide open, and we are asked to share what we think is reasonable in terms of conversions or KPIs.

If you are able to align with business goals, you should have a good measure and understanding of what SEO could and should drive toward.

However, that doesn’t mean that the work is done when it comes to translating that down further into SEO measures.

It is getting harder and harder to accurately project organic search traffic with the rise of zero-click searches on Google and reduced clicks from AI Overviews.

The days of broad strategies and focusing on a quantity of traffic and letting your site filter for quality are over.

I strongly recommend that SEO KPIs be focused on quality metrics.

Working backwards from the business outcomes, in alignment with your funnels and customer journey maps, back to the first possible touch point from SEO.

By looking at all the branches and anticipated ways someone might enter from SEO, you can categorize them and come up with a quality-first approach to your KPIs and expectations when looking at your current performance data and third-party research data.

You might find that the volume and expectations for what SEO can drive need to be tempered at this point, and this is the time to do it before getting way down the road in investment.

Prioritizing SEO Tactics And Tasks

Your roadmap so far is pretty metric and goal-heavy. That’s on purpose. However, the other big category that I often see tank, even the most data-driven approach to SEO, is prioritization and resourcing.

Years ago, when I had a national restaurant chain as a client, we had an awesome strategy mapped out. We did a test with a few locations and saw massive success.

When the roadmap and plan for the next year were ready to roll out, we were blindsided by resource constraints. The problem wasn’t with investment in the SEO functions or content creation, or even with the budget for the dev team. It was a priority for the IT and dev teams.

We didn’t know that they were booked out for the next six months on a big in-store POS system initiative and wouldn’t be able to touch our plan or anything more than a triaged website emergency.

While I pivoted the plan to local search and getting them to the top of Google Maps, it was a big letdown for all of us invested in the full plan, as we didn’t account for this type of challenge.

SEO is more than just SEO. It requires a range of other skills and disciplines. Maybe you have someone who wears all the hats (or it is you), but regardless of the situation, you’ve got to plot out all of the tactics and resources needed.

You can’t get it all done at once, but also in the pacing of the plan, you can’t allow things to get put on the shelf when other tasks are stealing attention.

Knowing the non-SEO factors that can have an impact on SEO is really important in crafting your plan.

If you’re struggling with the specific tactics that should go in your plan, or the cadence for them, find external checklists and support, but be careful not to rely solely on checklists as a substitute for your tailored strategy.

Bonus: Seeing It Through To Success

If you’re struggling with the planning process, a framework that I recommend is the START Planning Process (full disclosure: I created it).

It provides a five-step process for digital marketing planning and can be applied to a multi-channel approach or narrowed to just focus on SEO and help you get through the strategy, tactics, and rest of the steps needed to arrive at your ultimate plan and roadmap.

When you activate your plan and put the roadmap into place, there will be distractions. Internal distractions and disruptions will happen. External changes will impact your perfectly crafted plan.

When any of these things happen, they become what I like to call “trigger events.” They are opportunities to revisit your roadmap, see how they might change your priorities and focuses for SEO, and then get back to work.

Even if trigger events don’t happen, you want to make sure that your plan, resource scheduling, and tasks have built-in reflection points where you can take a step back, evaluate your plan, and recalibrate if necessary.

Wrap Up

SEO is hard work. It is changing with AI, and if we weren’t previously, we definitely are focused now on quality more than quantity.

Traffic sources are diversifying, and we are working hard to keep up with where things are going, balanced with what works still for our businesses and growth today. Whew.

I hate hearing that “SEO doesn’t work for my company” or for other reasons why it gets written off when I see it working for competitors or others in the same industry.

Yes, there are some limited cases where that’s true, and it isn’t something to consider.

In most others, though, so many symptoms of it not working are connected to a root cause of not having a roadmap or plan.

I’m a strong believer in the more we’re being distracted, the more – now than ever – that we need to be disciplined, documented, and working off of a solid foundation.

More Resources:

Featured Image: KT Stock photos/Shutterstock

Ecommerce MGMT 0 Comments

May 13 2025

How To Increase Google Discover Visibility Naturally Using These Ranking Signals via @sejournal, @rollerads

This post was sponsored by RollerAds. The opinions expressed in this article are the sponsor’s own.

Want more visibility in Google Discover?

Not sure how to get into Google’s personalized news feeds?

Discover isn’t like search. You don’t rank for keywords.

You get selected.

And that means the best way to get featured isn’t to optimize for keywords; it’s to optimize for specific algorithmic signals.

In this guide, we’ll cover the core ranking signals that help Google determine which content belongs in Discover feeds, and how you can naturally boost those signals using tools like push notifications.

Google Discover Optimization Tips: Which Signals Tell Google Your Content Belongs in Discover?

Google Discover uses a different algorithm from traditional search results.

While it still considers many of the same quality indicators, Discover visibility depends less on keywords and more on how your content performs in the real world.

Here are the most important content quality signals for Discover.

1. E-E-A-T: Experience, Expertise, Authoritativeness, Trust

A good rule of thumb is to follow the “E-E-A-T” guideline:

Experience: Firsthand, real-world familiarity with the subject.
Expertise: Deep knowledge and skill in your content niche.
Authoritativeness: Recognition from other trusted sources.
Trustworthiness: Accurate, unbiased, and reliable information.

2. Engagement Metrics

These tell Google your content resonates with users and may be worth promoting more widely.

3. Strong Visuals & Headlines

Discover is highly visual, so if you don’t stand out immediately, the users are likely to scroll past your content.

Take your time to polish headlines to get attention, but make sure they accurately reflect the content of your article, post, or whatever you’re writing right now.

Engaging headlines, images, and videos perform better, especially when those assets are optimized for mobile.

4. Technical SEO & Mobile Optimization

While you don’t need to “rank” per se, you do need a well-optimized site, which includes:

Fast load times: Consider page speed and overall efficiency. Use PageSpeed Insights to ensure your web pages are optimized for user performance.
Mobile-friendly layouts: Google Discover is only available on mobile devices, as there is currently no desktop version.
Structured data: Google relies on structured data to categorize content and provide relevant suggestions for users. To attract more engaged and relevant users, you need to add tags and structure data so that Google can better recognize and categorize your content.
Internal linking & link building: It will help you create your own network of content. This concerns old articles, too, as they might serve as a gateway to newer pieces of content.
RSS or Atom Feed: Allow users to follow you to receive updates quickly. Google generates a feed for you automatically, but you can connect your own.
Google Web Stories: Similar to Instagram, these stories appear under the Visual Stories banner on mobiles and serve to expand your reach. Stories are easy to create, engaging, interactive, and fun.

Track, test, improve. Use Google Search Console (GSC) to monitor your performance and statistics. Unlike Google Analytics, it has a dedicated tab for monitoring Google Discover traffic.

5. Freshness & Topical Relevance

Valuable content addresses and solves pain points.

For content to have a better chance of showing up in Discover feeds, it should be:

Accurate.
Timely.
Trending.
Helpful.
Continuously updated.

This is especially powerful if your content is tied to current events or spikes in interest, as shown in Google Trends.

To discover what users search for, try:

Google Search: Enter a query and scroll down to view related and popular requests.
Google Search’s Autocomplete: Start typing a search and observe the suggested autocomplete queries; these are the queries that many others regularly search for.
Google Trends: Identify how popular a content direction is in any part of the world. This is also great for identifying seasonality.

How Google Discover Works

Google Discover suggests your content, which should include all the positive signals mentioned above.
The Google app user engages with your content within Google Discover, adding to Google’s knowledge of how users interact with your website.
These engagements (visitor volume, time on page, user experience, etc.) indicate to Google that your content is well-suited for similar readers.
Google increases your reach and visibility on Google Discover.
Those new viewers engage with your content in a similar pattern.
The cycle repeats, spreading your optimized content to more Google Discover timelines.

This is known as a positive loop because your content consistently passes positive ranking signals back to Google’s Discover algorithm, thereby continuing to increase in engagement.

How Do I Create A Positive Loop & Show Up In Google Discover?

Now that you know what Google is looking for, here’s how to naturally boost those signals.

We know that Google Discover places your content based on:

High-clickthrough rates.
Long time-on-page.
Repeat visitors.

So, how can you increase those metrics?

By getting a dedicated reader base that is always ready to consume your new content.

Push notifications are a great way to alert your dedicated readers that new content is out.

And they will feed your Google Discover algorithm data.

How To Use Push Notifications To Boost These Google Signals

Many publishers avoid push notifications, believing they’re too promotional or might harm user experience (UX).

However, modern push notification platforms allow you to take a more hybrid approach, combining editorial updates with monetization to boost visibility.

Why Hybrid Push Notifications Help Boost Discover Visibility

Done right, push notifications help your content get discovered organically by:

Increasing CTR with a second wave of distribution.
Driving fast engagement shortly after publication.
Bringing back repeat readers to increase session depth.
Boosting behavioral signals that Google uses to judge quality.

In other words, push notifications support the very engagement metrics that can lead to more Discover visibility.

When users receive a mix of informative and promotional pushes, each message feels fresh, encouraging clicks and boosting your CTR.

Higher engagement signals to Google that your content is valuable, increasing the chances of it being featured on Discover.

And since Discover traffic is largely made up of new visitors, each one becomes a fresh opportunity to grow your subscriber base.

Once users opt in, you can keep re-engaging them, creating a cycle of rising visibility, CTR, and traffic.

Image created by RollerAds April, 2025

How to Implement Hybrid Push Format to Get on Discover Faster

In a recent case study, one RollerAds publisher increased their revenue from $0 to $60,000 per month by pairing great content with hybrid push notifications and Discover-optimized distribution. The key was creating content that signals quality and leveraging distribution to show it.

With a tool like RollerAds, you can gain a streamlined way to:

Send personalized push notifications for your latest content.
Mix promotional and editorial messaging without spamming your readers.
Increase engagement, retention, and revenue simultaneously.

Simply register your site, get a custom strategy from your account manager, and start boosting content visibility, without compromising user experience.

Even better? You can monetize this traffic directly with ad formats designed for Discover audiences, no intrusive pop-ups or poor user experience. Just clear, engaging content with a side of revenue.

For SEJ readers, use the code SEJ30 to add +30% to your funds before July 1st, 2025.

Just show the code to your account manager on RollerAds before your first payment.

Getting featured on Google Discover isn’t just about luck; it’s about strategy.

From creating high-quality, relevant content to optimizing visuals, headlines, and mobile performance, every step counts. However, to truly stand out and amplify your chances, pairing content strategy with smart tools, such as hybrid push notifications from RollerAds, can make all the difference.

Engaging your audience through push updates not only drives more clicks but also signals content quality to Google, boosting your Discover reach. With the right monetization tools, you can convert that traffic into substantial revenue.

Image Credits

Featured Image: Image by RollerAds. Used with permission.

In-Post Image: Images by RollerAds. Used with permission.

Ecommerce MGMT 0 Comments

May 13 2025

Cracking the SEO Code: Regain Control of Search Visibility in the Age of AI [Webinar] via @sejournal, @hethr_campbell

Trying to regain lost visibility in AI-powered search results?

As AI Overviews and answer engines continue to reshape how search works, organic visibility can disappear overnight. If your traffic has taken a hit, you may need a more complete strategy to recover and grow.

Join us for “Own The Total SERP: How To Regain Lost Visibility Across Paid, Organic and Local SEO.” This webinar will introduce the TotalSERP strategy, a unified approach designed to help you reclaim visibility across the entire search landscape.

Why This Session Is Important

Search is no longer limited to paid or organic results. Success now comes from owning the full search engine results pages (SERPs), including local listings and AI-driven experiences.

On May 27, 2025, at 12pm ET, you will learn:
✅ How to gain total SERP visibility across paid, organic and local search
✅ How to use Gen AI to improve content and capture intent
✅ How to turn an integrated search strategy into measurable business results

This session is led by Bhavin Prashad, Associate Vice President of Digital Media, and Dan Lauer, SEO Strategist at DAC. They will walk you through the TotalSERP strategy and show how it can help you rebuild what Google’s algorithm and AI may have taken away.

What makes this session different

The TotalSERP strategy aligns your paid, organic, and local efforts into one consistent plan. It is designed to help you capture customers at every stage of their search journey.

Let’s help you take back control of your visibility and drive results across every part of the search experience.

If you cannot attend live, go ahead and register. We will send you the full recording after the event.

Ecommerce MGMT 0 Comments