YouTube Title A/B Testing Rolls Out Globally To Creators via @sejournal, @MattGSouthern

YouTube is rolling out title A/B testing globally to all creators with access to advanced features, expanding the testing capability beyond the select group that had early access.

The announcement came via the platform’s Creator Insider channel, clarifying how the feature works and addressing common questions from creators.

Title A/B testing joins thumbnail testing in YouTube’s “Test and Compare” tool. You can test up to three titles, three thumbnails, or combinations of both on a single video.

How Title A/B Testing Works

The A/B testing tool compares performance across experiment variations over a set period of up to two weeks.

After testing concludes, YouTube notifies creators of the results. If there’s a clear winner, that option becomes the default shown to all viewers. If all options performed similarly, the first combination becomes the default.

You can override the automatic selection at any time through the metadata editor or YouTube analytics page.

Why YouTube Uses Watch Time Over CTR

YouTube optimizes test results based on watch time rather than click-through rate.

In the Creator Insider video, the company explained:

“We want to ensure that your A/B test experiment gets the highest viewer engagement, so we’re optimizing for overall watch time over other metrics like CTR. We believe that this metric will best inform our creators content strategy decisions and support their chances of success.”

Understanding Test Results

YouTube tests deliver one of three possible outcomes.

“Winner” means one version outperformed others at driving watch time per impression. YouTube believes this version will lead to better performance.

“Performed the same” indicates all options earned similar shares of watch time. While small differences may appear, they aren’t statistically meaningful. You can choose whichever option you prefer.

“Inconclusive” can occur when no clear performance difference exists between options, or when the video doesn’t generate enough impressions for a reliable comparison. Higher view counts increase the likelihood of a decisive result.

Screenshot from: YouTube.com/CreatorInsider, December 2025.

Impression Distribution & Viewer Experience

YouTube distributes impressions as evenly as possible across test variations, though identical distribution isn’t guaranteed.

During active tests, viewers consistently see the same title-thumbnail combination across their home feed, watch page, and other YouTube surfaces. This prevents confusion from seeing different versions of the same video.

YouTube addressed a common concern about tests making previously-watched videos appear new. The company notes that watch history and the red progress bar on thumbnails remain the reliable indicators of what you’ve already watched.

Why This Matters

Title testing gives you data to inform creative decisions. Combined with thumbnail testing, you can now optimize both elements that influence whether viewers click on your videos.

The watch time metric means successful titles attract viewers who actually engage with your content, not just those who click and leave.

Looking Ahead

Title A/B testing requires access to YouTube’s advanced features, which you can enable through account verification. The feature works on long-form videos and is currently desktop-only.

YouTube first announced title A/B testing alongside thumbnail testing at Made on YouTube in September.


Featured Image: FotoField/Shutterstock

Google Maps Lets Users Post Reviews With Nicknames via @sejournal, @MattGSouthern

Google Maps now lets users leave business reviews under a custom nickname instead of their real name. The feature is part of a four-feature Maps update and is rolling out globally on Android, iOS, and desktop.

Local SEO agency Whitespark was among the first to document the change in detail, describing it as one of the more notable shifts to Google’s review system in years.

What Changed

Google’s support documentation outlines the new setting. Users can enable a custom display name and picture for posting through their Maps or Google profile. Once enabled, that identity appears on reviews, photos, videos, and Q&A posts across Maps.

The feature works retroactively. If you edit your nickname later, past contributions update to show the new name.

Whitespark notes that people have long created Google accounts with aliases. This is the first time Google has offered a dedicated posting identity separate from your main account profile and documented it officially.

How It Affects Spam Detection

Google’s blog post says its existing review protections remain in place. Reviews written under a nickname are still tied to an account and its history. Businesses can still report reviews they believe violate policies.

Whitespark calls this “pseudonymous rather than truly anonymous.” The public display name differs, but Google still sees the underlying account and contribution history.

Why This Matters

Expect to see more nicknames and illustration-based profile pictures in review feeds. Whitespark highlights industries like legal, medical, and financial services where clients often hesitate to post under their real name. This could increase review volume in those categories.

If you work with businesses in privacy-sensitive categories, you may want to update review request templates to mention the nickname option.

Looking Ahead

The nickname feature is live or rolling out for most users, though some local SEOs, such as Joy Hawkins, report they don’t yet see it in their own profiles.


Featured Image: Roman Samborskyi/Shutterstock

Google Adds AI-Powered Configuration To Search Console via @sejournal, @MattGSouthern

Google is rolling out an experimental feature that lets Search Console users configure the Search results Performance report using natural language instead of manual filter selection.

The feature, called AI-powered configuration, translates plain-language requests into the appropriate filters and settings. You can describe the analysis you want to see, and the system handles the technical setup.

What’s New

The AI-powered configuration feature handles three types of report setup:

1. Filters

You can narrow data by query, page, country, device, search appearance, or date range through natural language.

A request like “Show me queries on phone searches that contain the word ‘sports’ in the last 6 months” applies the relevant filters automatically.

2. Comparisons

Complex date range comparisons that previously required manual configuration can now be set up through prompts like “Compare traffic for my pages that contain ‘/blog’ in this quarter to the same quarter last year.”

3. Metric Selection

The feature can display specific combinations of the four available metrics (Clicks, Impressions, Average CTR, and Average Position) based on your requests.

For example, you can ask, “Show me the Average CTR and Average Position of my queries in Spain in the last 28 days.”

Limitations

Google noted several limitations.

The feature works only with Performance reports for Search results, it doesn’t support Discover or News reports.

AI-powered configuration is designed only for configuring filters, comparisons, and metrics. It can’t sort tables or export data.

Google also cautioned that the AI can misinterpret requests. You should review suggested filters before analyzing data to make sure they match the query you intended.

Why This Matters

This feature could reduce the manual effort required to set up complex filter combinations in Search Console.

The ability to request custom date comparisons or multi-filter configurations through natural language removes several steps from the reporting process.

The accuracy caveat matters, especially for higher-stakes reporting. You’ll want to verify that the AI understood your request correctly before you rely on the data for decisions or client reporting.

Looking Ahead

Google is rolling out AI-powered configuration to a limited set of websites and will expand availability over time. No timeline for broader access was provided.

You can share feedback through the buttons in Search Console or by posting in the Google Search Central Community.


Featured Image: IB Photography/Shutterstock

5 Reasons To Use The Internet Archive’s New WordPress Plugin via @sejournal, @martinibuster

The Internet Archive, also known as the Wayback Machine, is generally regarded as a place to view old web pages, but its value goes far beyond reviewing old pages. There are five ways that Archive.org can help a website improve their user experience and SEO. The Wayback Machine’s new WordPress plugin  makes it easy to benefit from the Internet Archive automatically.

1. Copyright, DMCA, And Business Disputes

The Internet Archive can serve as an independent timestamped record to prove ownership of content or to defend against false claims that someone else wrote the content first. The Internet Archive is an independent non-profit organization and there is no way to fake an entry, which makes it an excellent way to prove who was first to publish disputed content.

2. The Worst Case Scenario Backup

Losing the entire website content due to hardware failure, ransomware, a vulnerability, or even a datacenter fire is almost always within the realm of possibility. While it’s a best-practice to always have an up to date backup stored off the server, unforseen mistakes can happen.

The Internet Archive does not offer a way to conveniently download website content. But there are services that facilitate it. It used to be a popular technique with spammers to use these services to download the previous content from expired domains and bring them back to the web. Although I’ve not used any of these services and therefore can’t vouch for any of them, if you search around you’ll be able to find them.

3. Fix Broken Links

Sometimes a URL gets lost in a website redesign or maybe it was purposely removed but then find out later that the page is popular and people are linking to it. What do you do?

Something like this happened to me in the past where I changed domains and decided I didn’t need certain of the pages. A few years later I discovered that people were still linking to those pages because they were still useful. The Internet Archive made it easy to reproduce the old content on the new domain. It’s one way to recover the Page Rank that would otherwise have been lost.

Having old pages archived can help in reviving old pages back into the current website. But you can’t do this unless the page is archived and the new plugin makes sure that this happens for every web page.

4. Can Indicate Trustworthiness

This isn’t about search algorithms or LLMs. This is about trust with other sites and site visitors. Spammy sites tend to not be around very long. A documented history on Archive.org can be a form of proof that a site has been around for a long time. A legitimate business can point to X years of archived pages to prove that they are an established business.

5. Identify Link Rot

The Internet Archive Wayback Machine Link Fixer plugin provides an easy way to archive your web pages at Archive.org. When you publish a new page or update an older page the Wayback Machine WordPress plugin will automatically create a new archive page.

But one of the useful features of the plugin is that it automatically scans all outbound links and tests them to see if the linked pages still exist. The plugin can automatically update the link to a saved page at the Internet Archive.

The official plugin lists these features and benefits:

  • “Automatically scans for outbound links in post content
  • Checks the Wayback Machine for existing archives
  • Creates new snapshots if no archive exists
  • Redirects broken or missing links to archived versions
  • Archives your own posts on updates
  • Works on both new and existing content
  • Helps maintain long-term content reliability and SEO”

I don’t know what they mean about maintaining SEO but one benefit they don’t mention is that it keeps users happy and that’s always a plus.

Wayback Machine Is Useful For Competitor Analysis

The Internet Archive makes it so easy to see how a competitor has changed over the years. It’s also a way to catch competitors who are copying or taking “inspiration” from your content when they do their annual content refresh.

The Wayback Machine can let you see what services or products a competitor offered and how they were offered. It can also give a peek into what changed during a redesign which tells something about what their competitive priorities are.

Takeaways

  • The Internet Archive provides practical benefits for website owners beyond simply viewing old pages.
  • Archived snapshots help address business disputes, lost content, broken links, and long-term site credibility.
  • Competitor history and past site versions become easy to evaluate through Archive.org.
  • The Wayback Machine WordPress plugin automates archiving and helps manage link rot.
  • Using the Archive proactively can improve user experience and support SEO-adjacent needs, even if indirectly.

The six examples in this article show that the Internet Archive is useful for SEO, competitor research, and for improving the user experience and maintaining trust. The Internet Archive’s new WordPress plugin makes archiving and link-checking easy because it’s completely automatic. Taken together, these strengths make the Archive a useful part of keeping a website reliable, recoverable, and easier for people to use.

The Internet Archive Wayback Machine Link Fixer is a project created by Automattic and the Internet Archive, which means that it’s a high quality and trusted plugin for WordPress.

Download The Internet Archive WordPress Plugin

Check it out at the official WordPress plugin repository: Internet Archive Wayback Machine Link Fixer By Internet Archive

Featured Image by Shutterstock/Red rose 99

Google Year In Search 2025: Gemini, DeepSeek Top Trending Lists via @sejournal, @MattGSouthern

Google released its Year in Search data, revealing the queries that saw the largest spikes in search interest.

AI tools featured prominently in the global list, with Gemini ranking as the top trending search worldwide and DeepSeek also appearing in the top 10.

The annual report tracks searches with the highest sustained traffic spikes in 2025 compared to 2024, rather than total search volume.

AI Tools Lead Global Trending Searches

Gemini topped the global trending searches list, reflecting the growth of Google’s AI assistant throughout 2025.

DeepSeek, the Chinese AI company that drew attention earlier this year, appeared in both the global (#6) and US (#7) trending lists.

The global top 10 trending searches were:

  1. Gemini
  2. India vs England
  3. Charlie Kirk
  4. Club World Cup
  5. India vs Australia
  6. DeepSeek
  7. Asia Cup
  8. Iran
  9. iPhone 17
  10. Pakistan and India

US Trending Searches Show Different Priorities

The US list diverged from global trends, with Charlie Kirk leading and entertainment properties ranking high. KPop Demon Hunters claimed the second spot.

The US top 10 trending searches were:

  1. Charlie Kirk
  2. KPop Demon Hunters
  3. Labubu
  4. iPhone 17
  5. One Big Beautiful Bill Act
  6. Zohran Mamdani
  7. DeepSeek
  8. Government shutdown
  9. FIFA Club World Cup
  10. Tariffs

AI-Generated Content Leads US Trends

A dedicated “Trends” category in the US data showed AI content creation drove search interest throughout 2025.

The top US trends included:

  1. AI action figure
  2. AI Barbie
  3. Holy airball
  4. AI Ghostface
  5. AI Polaroid
  6. Chicken jockey
  7. Bacon avocado
  8. Anxiety dance
  9. Unfortunately, I do love
  10. Ghibli

The Ghibli entry likely reflects the viral AI-generated images mimicking Studio Ghibli’s animation style that circulated on social media platforms.

News & Current Events

News-related trending searches reflected the year’s developments. Globally, the top trending news searches included the LA Fires, Hurricane Melissa, TikTok ban, and the selection of a new pope.

US news trends focused on domestic policy, with the One Big Beautiful Bill Act and tariffs appearing alongside the government shutdown and Los Angeles fires.

Why This Matters

This data shows where user interest spiked throughout 2025. The presence of AI tools at the top of global trends confirms continued growth in AI-related search behavior.

The split between global and US lists also shows regional differences in trending topics. Cricket matches dominated global sports interest while US searches leaned toward entertainment and policy.

Looking Ahead

Google’s Year in Search data is available on the company’s trends site.

Comparing this year’s trending topics against your content calendar can reveal gaps in coverage or opportunities for timely updates to existing content.

YouTube Launches First Annual Recap Feature For All Users via @sejournal, @MattGSouthern

YouTube launched its first annual Recap feature, providing users with a personalized summary of their viewing activity throughout the year.

The feature is available starting today for users in North America and will roll out globally throughout the week, according to the YouTube Blog.

What’s New

YouTube Recap is accessible from the homepage or under the “You” tab on mobile and desktop. The feature generates up to 12 cards based on watch history, displaying top channels, interests, and viewing patterns over the year.

The cards also assign users a personality type based on viewing habits. Types include Adventurer, Skill Builder, Creative Spirit, Sunshiner, Wonder Seeker, Connector, Philosopher, and Dreamer.

YouTube said the most common personality types were Sunshiner, Wonder Seeker, and Connector. Philosopher and Dreamer were the rarest.

Users who listened to music through the platform will see Top Artists and Top Songs cards within their Recap. Additional music data, including genres, podcasts, and international listening, is available in the YouTube Music app.

YouTube said it conducted nine rounds of feedback testing and evaluated more than 50 concepts before finalizing the feature. In an accompanying video, YouTube representatives said the team used Gemini to analyze watch history patterns, which enabled them to create a structured recap from YouTube’s unstructured video library.

Why This Matters

YouTube Recap gives the platform a year-end engagement feature comparable to Spotify Wrapped.

For creators, the feature surfaces which channels appear in users’ top viewing lists. People can save and share their Recap cards, which could boost channels’ social media visibility during the holiday period.

Looking Ahead

Users in North America can access their Recap starting today. Those outside North America should see the feature become available throughout the week.

For more details, see the video below:

OpenAI Declares ‘Code Red’ To Improve ChatGPT Amid Google Competition via @sejournal, @MattGSouthern

OpenAI CEO Sam Altman has declared a “code red” to focus company resources on improving ChatGPT, according to an internal memo reported by The Wall Street Journal and The Information.

The memo signals OpenAI’s response to growing competition from Google, whose Gemini 3 model has outperformed ChatGPT in several benchmark tests since launching last month, according to Google’s own evaluation data and third party leaderboards.

What’s New

Altman told employees that ChatGPT’s day to day experience needs improvement. Specific areas include personalization features, response speed and reliability, and the chatbot’s ability to answer a wider range of questions.

The company uses a color-coded system to indicate priority levels. This effort has been elevated to “code red,” above the previous “code orange” designation for ChatGPT improvements.

A new reasoning model is expected to launch next week, according to the memo, though OpenAI hasn’t publicly announced it.

Delayed Products

Several product initiatives are being postponed as a result.

Advertising integration, which OpenAI had been testing in beta versions of the ChatGPT app, is now on hold, according to The Information. AI agents designed for shopping and healthcare are also delayed, along with improvements to ChatGPT Pulse.

Altman has encouraged temporary team transfers to support ChatGPT development and established daily calls for those responsible for improvements.

Competitive Context

On the technical side, Google’s Gemini 3 and related models have posted strong scores on reasoning benchmarks. Google says Gemini 3 Deep Think outperforms earlier versions on Humanity’s Last Exam, a frontier level benchmark created by AI safety researchers, and other difficult tests. Those results are reflected on Google’s own Gemini 3 Pro benchmark page and on independent leaderboards that track model performance.

OpenAI hasn’t released comparable public benchmark data for its next reasoning model yet, so comparisons rely on current GPT 5 results rather than the upcoming system referenced in the memo.

Google is also continuing to invest in generative image tools like its Nano Banana and Nano Banana Pro image generators, which sit alongside Gemini 3 as part of a broader AI product lineup.

Benchmark Context

Humanity’s Last Exam is intended to be a harder successor to saturated benchmarks like MMLU. It’s maintained by the Center for AI Safety and Scale AI, with an overview available on the project site and results tracked by multiple leaderboards, including Scale’s official leaderboard and third party dashboards such as Artificial Analysis.

Google’s Gemini 3 Pro benchmark documentation lists a higher score on Humanity’s Last Exam than several competing models, including GPT 5. That’s the basis for reporting that Gemini 3 has “outperformed” ChatGPT on that specific benchmark.

OpenAI has published strong results on other reasoning benchmarks for its GPT 5 series, but the memo appears to be reacting to this recent wave of Gemini 3 performance data rather than a single test.

Traffic And Usage Context

Despite the technical pressure, OpenAI still has a large lead in assistant usage.

In a recent post on LinkedIn, ChatGPT head Nick Turley said ChatGPT is the “#1 AI assistant worldwide,” accounting for “around 70% of assistant usage” and roughly “10% of search activity.” You can read his full comments here.

Separate reporting from outlets including the Financial Times indicates OpenAI has more than 800 million weekly users, with most on the free tier, while Gemini’s user base has been growing quickly from a lower starting point.

Altman’s memo acknowledges Google’s recent progress and warns of “temporary economic headwinds,” while also saying OpenAI is “catching up fast.”

A Familiar Playbook

The “code red” designation echoes Google’s own response to ChatGPT several years ago.

Google management declared a “code red” after ChatGPT’s viral launch. CEO Sundar Pichai redirected teams across Google Research, Trust and Safety, and other departments to focus on AI product development.

That urgency led to the accelerated development of Google’s AI products, culminating in Bard’s launch in early 2023 and its subsequent evolution into Gemini.

Now the roles have reversed. Google’s sustained investment in AI infrastructure has produced a model that scores higher than ChatGPT on several high profile benchmarks, prompting OpenAI to adopt a similar crisis response framework for its flagship product.

Company Response

Nick Turley, OpenAI’s head of ChatGPT, addressed the competitive landscape in recent posts on LinkedIn and X, where he described ChatGPT as the top AI assistant worldwide.

“New products are launching every week, which is great,” he wrote in one of the posts, saying that competition pushes OpenAI to move faster and continue improving ChatGPT.

He added that OpenAI’s focus is making ChatGPT “more capable” while expanding access and making it “more intuitive and personal.”

OpenAI hasn’t publicly commented on the leaked memo itself.

Looking Ahead

OpenAI’s new reasoning model launch will provide the first indication of how the company is executing on Altman’s directive. The delay of advertising and AI agents suggests ChatGPT quality has become the company’s singular near term priority, at least internally.

For marketers and SEO professionals, the more immediate impact is likely to be on how ChatGPT handles complex queries, research tasks, and follow up questions once the new model is live. Any measurable changes in answer quality, speed, or personalization will be important to watch alongside Google’s continued Gemini 3 rollouts.


Featured Image: Mijansk786/Shutterstock

Google Connects AI Overviews To AI Mode On Mobile via @sejournal, @MattGSouthern

Google is testing a new mobile search flow that connects AI Overviews to AI Mode.

Robby Stein, VP of Product for Google Search, announced the test on X. The feature lets you ask follow-up questions in AI Mode without leaving the search results page.

What’s New

Under the current setup, AI Overviews and AI Mode function as separate experiences. People who want AI Mode’s deeper conversational capabilities must navigate away from standard search results.

The test changes that workflow. You still receive an AI Overview as a starting point for a query. From there, you can ask conversational follow-up questions that open directly in AI Mode.

Stein says the update as part of a broader product vision, stating:

“This brings us closer to our vision for Search: just ask whatever’s on your mind, no matter how long or complex, and find exactly what you need. You shouldn’t have to think about where or how to ask your question.”

He described the result as “one seamless experience: a quick snapshot when you need it, and deeper conversation when you need it.”

Google says the test is running globally on mobile devices.

Why This Matters

This test shows how Google may eventually merge its AI search experiences into a single interface.

It also means more search sessions could happen within AI-generated responses rather than on the traditional results page.

If this flow becomes default, the path from query to AI Mode gets shorter, and that could lead to more searches that resolve without a click to your site.

Looking Ahead

Google hasn’t announced a timeline for expanding this test to general availability. The company typically runs experiments for several months before deciding to make them permanent.

Whether this specific test leads to a merged interface remains to be seen. But it follows Google’s pattern of making it easier to stay within AI-powered responses.


Featured Image: Tada Images/Shutterstock

Google Reports Search Console Page Indexing Report Delays via @sejournal, @MattGSouthern

Google announces delays in Search Console’s Page indexing report. The company confirms crawling, indexing, and ranking remain unaffected by the reporting issue.

  • Google is experiencing longer than usual delays in the Page indexing report within Search Console.
  • The issue affects reporting only, not actual crawling, indexing, or ranking of websites.
  • Google will provide an update when the issue is resolved.
Pragmatic Approach To AI Search Visibility via @sejournal, @martinibuster

Bing published a blog post about how clicks from AI Search are improving conversion rates, explaining that the entire research part of the consumer journey has moved into conversational AI search, which means that content must follow that shift in order to stay relevant.

AI Repurposes Your Content

They write:

“Instead of sending users through multiple clicks and sources, the system embeds high-quality content within answers, summaries, and citations, highlighting key details like energy efficiency, noise level, and smart home compatibility. This creates clarity faster and builds confidence earlier in the journey, leading to stronger engagement with less friction.”

Bing sent me advance notice about their blog post and I read it multiple times. I had a hard time getting past the part about AI Search taking over the research phase of the consumer journey because it seemingly leaves informational publishers with zero clicks. Then I realized that’s not necessarily how it has to happen, as is explained further on.

Here’s what they say:

“It’s not that people are no longer clicking. They’re just clicking at later stages in the journey, and with far stronger intent.”

Search used to be the gateway to the Internet. Today the internet (lowercase) is seemingly the gateway to AI conversations. Nevertheless, people enjoy reading content and learning, so it’s not that the audience is going away.

While AI can synthesize content, it cannot delight, engage, and surprise on the same level that a human can. This is our strength and it’s up to us to keep that in mind moving forward in what is becoming a less confusing future.

Create High-Quality Content

Bing’s blog post says that the priority is to create high-quality content:

“The priority now is to understand user actions and guide people toward high-value outcomes, whether that is a subscription, an inquiry, a demo request, a purchase, or other meaningful engagement.”

But what’s the point in creating high-quality content for consumers if Bing is no longer “sending users through multiple clicks and sources” because AI Search is embedding that high-quality content in their answers?

The answer is that Bing is still linking out to sources. This provides an opportunity for brands to identify those sources to verify if they’re in there and if they’re missing they now know to do something about it. Informational sites need to review those sources and identify why they’re not in there, something that’s discussed below.

Conversion Signals In AI Search

Earlier this year at the Google Search Central Live event in New York City, a member of the audience told the assembled Googlers that their client’s clicks were declining due to AI Overviews and asked them, “what am I supposed to tell my clients?” The audience member expressed the frustration that many ecommerce stores, publishers, and SEOs are feeling.

Bing’s latest blog post attempts to answer that question by encouraging online publishers to focus on three signals.

  • Citations
  • Impressions
  • Placement in AI answers.

This is their explanation:

“…the most valuable signals are the ones connected to visibility. By tracking impressions, placement in AI answers, and citations, brands can see where content is being surfaced, trusted, and considered, even before a visit occurs. More importantly, these signals reveal where interest is forming and where optimization can create lift, helping teams double down on what works to improve visibility in the moments when decisions are being shaped.”

But what’s the point if people are no longer clicking except at the later stages of the consumer journey?  Bing makes it clear that the research stage happens “within one environment” but they are still linking out to websites. As will be shown a little further in this article, there are steps that publishers can take to ensure their articles are surfaced in the AI conversational environment.

They write:

“In fewer steps than ever, the customer reaches a confident decision, guided by intent-aligned, multi-source content that reflects brand and third-party perspectives. This behavior shift, where discovery, research, and decision happen continuously within one environment, is redefining how site owners understand conversion.

…As AI-powered search reshapes how people explore information, more of the journey now happens inside the experience itself.

…Users now spend more of the journey inside AI experiences, shaping visibility and engagement in new ways. As a result, engagement is shifting upstream (pre-click) within summaries, comparisons, and conversational refinements, rather than through multiple outbound clicks.”

The change in which discovery, research, and decision making all happen inside the AI Search explains why traditional click-focused metrics are losing relevance. The customer journey is happening within the conversational AI environment, so the signals that are beginning to matter most are the ones generated before a user ever reaches a website. Visibility now depends on how well a brand’s information contributes to the summaries, comparisons, and conversational refinements that form the new upstream engagement layer.

This is the reality of where we are at right now.

How To Adapt To The New Customer Journey

AI Search has enabled consumers to do deeper research and comparisons during the early and middle part of the buying cycle, a significant change in consumer behavior.

In a podcast from May of this year, Michael Bonfils (LinkedIn profile) touched on this change in consumer behavior and underlined the importance of obtaining the signals from the consideration stage of consumer purchases. Read: 30-Year SEO Pro Shows How To Adapt To Google’s Zero-Click Search

He observed:

“We have a funnel, …which is the awareness consideration phase …and then finally the purchase stage. The consideration stage is the critical side of our funnel. We’re not getting the data. How are we going to get the data?

But that’s very important information that I need because I need to know what that conversation is about. I need to know what two people are talking about… because my entire content strategy in the center of my funnel depends on that greatly.”

Michael suggested that the keyword paradigm is inappropriate for the reality of AI Search and that rather than optimize for keywords, marketers and business people should be optimizing for the range of questions and comparisons that AI Search will be surfacing.

He explained:

“So let’s take the whole question, and as many questions as possible, that come up to whatever your product is, that whole FAQ and the answers, the question, and the answers become the keyword that we all optimize on moving forward.

Because that’s going to be part of the conversation.”

Bing’s blog post confirmed this aspect of consumer research and purchases, confirming that the click is happening more often on the conversion part of the consumer journey.

Tracking AI Metrics

Bing recommends using their Webmaster Tools and Clarity services in order to gain more insights into how people are engaging in AI search.

They explain:

“Bing Webmaster Tools continues to evolve to help site owners, publishers, and SEOs understand how content is discovered and where it appears across traditional search results and emerging AI-driven experiences. Paired with Microsoft Clarity’s AI referral insights, these tools connect upstream visibility with on-site behavior, helping teams see how discovery inside summaries, answers, and comparisons translates into real engagement. As user journeys shift toward more conversational, zero-UI-style interactions, these combined signals give a clearer view of influence, readiness, and conversion potential.”

The Pragmatic Takeaway

The emphasis for brands is to show up in review sites, build relationships with them, and try as much as possible to get in front of consumers and build positive word of mouth.

For news and informational sites, Bing recommends providing high-quality content that engages readers and providing an experience that will encourage readers to return.

Bing writes:

“Rather than focusing on product-driven actions, success may depend on signals such as read depth, article completion, returning reader patterns, recirculation into related stories, and newsletter sign-ups or registrations.

AI search can surface authoritative reporting earlier in the journey, bringing in readers who are more inclined to engage deeply with coverage or return for follow-up stories. As these upstream interactions grow, publishers benefit from visibility into how their work appears across AI answers, summaries, and comparisons, even when user journeys are shorter or involve fewer clicks.”

I have been a part of the SEO community for over twenty-five years and I have never seen a more challenging period for publishers than what we’re faced with today. The challenge is to build a brand, generate brand loyalty, focus on the long-term.

Read Bing’s blog post:

How AI Search Is Changing the Way Conversions are Measured 

Featured Image by Shutterstock/ImageFlow