You've probably seen the AI-generated summary answers at the top of Google search results at least once. As "AI Overviews" and "AI Mode" settle in as official features, the search landscape, and the concerns of the SEO folks who work within it, are changing too.
In this post, I'll go over what has changed / how it affects SEO / what to look at in Search Console with Google Search's AI features.
What changed in Google AI search: the arrival of "query fan-out"
AI Overviews and AI Mode don't simply show results for a single search query. They work through "query fan-out": breaking one question into several subtopics, then gathering answers from multiple data sources and summarizing them.
As a result, users grasp the key points of complex topics faster and encounter a wider, more diverse set of links on a single screen than before.
What do you need to do to appear in AI Overviews? The short answer: "nothing special"
The most important point is surprisingly simple. Google states clearly that there are no additional requirements or special optimizations for appearing in AI features.
- AI-specific markup, separate schema.org data, AI text files → not needed
- What you need is ultimately the same SEO fundamentals:
- The page is indexed properly
- Crawling is allowed in robots.txt
- It meets Search's technical requirements
In other words, there's no separate new technique called "AIO optimization." The message is that sites that get the basics right are the ones that show up well in AI search too.
A checklist worth following anyway
| Item | Key point |
|---|---|
| Crawl accessibility | Make sure nothing is blocked in robots.txt |
| Internal links | Structure them so users can find content easily |
| Text first | Put important information in "text," not images |
| Multimedia | Supplement with high-quality images and videos |
| Structured data | Verify that markup matches the actual page content |
| Business information | Keep Merchant Center and Business Profile up to date |
In the AI search era, what should you look at in Search Console?
This is the part practitioners are most curious about.
Traffic from AI features isn't broken out into a separate report. It's included in the "Web" search type of the existing Performance report.
That means traffic coming through AI Overviews is already mixed into your clicks, impressions, and CTR. There's clearly a limitation in that "it's hard to isolate AI impressions alone," but Google describes this traffic as higher-quality traffic that's more likely to convert.
So the measurement approach recommended right now is:
- Combined analysis of Search Console (impressions and clicks) + GA4 (conversions and time on site). To see which channels contributed to conversions here, understanding attribution models helps
- If impressions went up but click-through rate dropped → check whether the answer was consumed within the AI summary
If you want to "control" how you appear
Google also lays out the controls you can use to block unwanted appearances or use for AI training.
nosnippet/data-nosnippet/max-snippet: Control how much of a snippet is shownnoindex: Exclude from the index entirelyGoogle-Extended: Limit use for Google's AI training and groundingrobots.txt: Control Googlebot crawling
The impact on SEO and where things are heading
Here's this change in one line. Search is moving from "a place that lists links" to "a place that organizes answers."
Naturally, there are concerns. If AI organizes the answer at the top of the screen first, the "zero-click search" phenomenon, where users don't bother clicking through to a page, may grow and traffic may decline. In fact, the simpler and more informational the content, the harder it's hit.
But there's another side to consider. As Google explains, users who still bother to click through after an AI summary have that much clearer intent. In other words, even if volume drops, things may restructure so that traffic more likely to convert is what remains.
In the end, the direction is clear.
- Simple informational summary content is replaced by AI. Competing there puts you at a disadvantage. In an environment where clicks themselves are declining, you should also consider strategies that actively design traffic, like search ad optimization.
- Instead, content with experience, expertise, authoritativeness, and trustworthiness, things you've tried and verified yourself, and depth that AI can't provide through summaries alone become an increasingly powerful advantage.
What is E-E-A-T? It's an acronym for the four elements Google uses when describing content quality: Experience, Expertise, Authoritativeness, and Trust. In its guide to creating helpful content, Google states that "trust is the most important" of these, while also explaining that "E-E-A-T itself isn't a specific ranking factor." In other words, it's not a lever that gets scored, but closer to the "direction" of the good content Google aims for.
So the action to take right now isn't some flashy new technique, but rather a return to the fundamentals. Check that your pages are being indexed and that key information is captured in text, combine Search Console and GA4 to find "posts where impressions are rising but clicks are dropping," and then add firsthand experience and perspectives no one else can write to those posts. That's where SEO in the AI search era is decided.
FAQ
- Do I need special optimization to appear in AI Overviews?
- Google has stated that there's no separate markup or "AIO optimization" technique for appearing in AI features. Just follow the existing SEO fundamentals: make sure the page is indexed properly, crawling is allowed in robots.txt, and it meets Search's technical requirements. Sites that get the basics right are the ones that show up well in AI search too.
- Can I see traffic from AI Overviews separately in Search Console?
- No. Traffic from AI features isn't broken out into a separate report; it's included in the "Web" search type of the Performance report. It's hard to isolate AI impressions alone, but you can track changes by combining Search Console (impressions and clicks) with GA4 (conversions and time on site).
- Can I stop AI from training on my content or using it in summaries?
- Yes. You can limit use for Google's AI training and grounding with Google-Extended, and control snippet display with nosnippet, data-nosnippet, and max-snippet, indexing itself with noindex, and Googlebot crawling with robots.txt.
- Clicks are dropping because of AI search. How should I respond?
- Simple informational summary content is being replaced by AI, so zero-click searches increase and it's hit hard. Instead, you need to differentiate with in-depth content that carries firsthand experience you've tried and verified yourself, along with expertise, authoritativeness, and trustworthiness (E-E-A-T). Things are restructuring so that, even if volume drops, what remains is traffic with clear intent that's more likely to convert.
Related posts
Here are some posts that are useful alongside this one for search and analytics work.
- Understanding attribution models with Google Analytics - The attribution models you need to know when analyzing Search Console and GA4 together
- What are the ways to optimize search ads? - Strategies for improving performance at the impression, click, and conversion stages
- Building a personal blog with vibe coding - How I built a blog with SEO and structured data applied myself