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AI search

AI Overviews

AI Overview / AI summaries / SGE / AI Mode

In short

An AI Overview is the summary Google sometimes places above the results, with links to sources. Google says they are only shown when its systems judge them additive to classic Search, so they often do not trigger. There is no special file or markup that gets you into them.

An AI Overview is the block Google sometimes puts above the ordinary results, summarizing an answer and linking out to pages it drew on. Google describes them as helping people get to the gist of a complicated topic more quickly and providing a jumping off point to explore links.

Start with the part that changes the size of the problem. Google says AI Overviews are only shown when its systems determine that it is additive to classic Search, and as such, often do not trigger. They are not on every search, and the ones they appear on tend to be the more complicated questions.

Now the part worth reading twice, because a lot of services are sold against it. Google states there are no additional requirements to appear in AI Overviews or AI Mode. It then names the thing people expect to be told to buy. You do not need to create new machine readable files, AI text files, or markup to appear in these features. There is no special schema.org structured data to add either.

What Google does say matters is unglamorous. To be eligible as a supporting link, a page must be indexed and eligible to show in Google Search with a snippet. Beyond that it lists ordinary practice: allow crawling in robots.txt and at your host, make content findable through internal links, provide a good page experience, keep important content in text, and make sure structured data matches the visible text. It adds that meeting every requirement still guarantees nothing, because indexing and serving are not guaranteed.

One mechanism explains the shape of the links. Google says these features may use a query fan-out technique, issuing multiple related searches across subtopics and data sources. That is why the pages cited often answer a narrower question than the one typed.

In practice

Measuring this differs by search engine, which surprises people. Google reports AI features inside the ordinary Performance report in Search Console, under the Web search type, so you cannot separate that traffic out. Microsoft went the other way. Its February 2026 announcement introduced an AI Performance view showing how often content is cited in generative answers, with total citations, average cited pages, and the grounding queries the AI used. Same question, two very different levels of visibility.

Not the same as

A featured snippet
That quotes one page. An AI Overview is generated and cites several.
Paying for placement
These are organic. Google names no purchase or submission that gets a page in.

Why it matters to you

This is the area where the gap between what is sold and what the platform documents is widest right now. Google says plainly that no special file, markup or schema is needed. So when something is proposed for AI visibility, the useful question is which of Google's actual listed practices it improves, and whether the answer is just good SEO under a newer name.

What to ask or check

  1. 01Which of Google's listed practices does this work actually improve?
  2. 02Are our pages indexed and eligible to show with a snippet, which is the stated requirement?
  3. 03How would we measure any of this, given Search Console's Generative AI performance report counts impressions and AI clicks sit inside ordinary search traffic?

What people get wrong

That a special file or markup gets you into AI answers. Google states you do not need new machine readable files, AI text files or markup, and that no special schema.org structured data is required.

Red flags

  • Anything sold as a required file or markup for AI visibility, which Google says is not needed.
  • A promise of AI Overview placement, when Google says indexing and serving are not guaranteed and the feature often does not trigger.
  • A report claiming to isolate AI Overview clicks from Google, when Search Console's generative AI report counts impressions.

Where you will see it

Above the ordinary results on some Google searches. In Search Console, impressions appear in the Generative AI performance report, and clicks are folded into the Performance report under the Web search type.

Local SEO

Local SEO is the work of showing up when somebody nearby searches for what you sell. Google names three factors: relevance, distance and prominence. Distance is the one you cannot change, and Google states plainly that there is no way to request or pay for a better local ranking.

Core Web Vitals

Core Web Vitals are three measurements Google uses for page experience: loading, responsiveness and visual stability. The current set is LCP under 2.5 seconds, INP under 200 milliseconds and CLS under 0.1. A page passes only if it hits all three at the 75th percentile of real visits.

Google-Extended

Google-Extended is a robots.txt token that controls whether content Google crawls from your site may be used to train Gemini models and ground Gemini apps. Google states it does not affect your inclusion in Search or your ranking. It is a training control, not a way to stay out of search results.

AI performance report

An AI performance report shows how often AI search features show or cite your site. Google's version counts impressions in AI Overviews and AI Mode. Bing's counts citations and states its numbers do not indicate ranking, authority or placement. Neither publishes a position inside an AI answer.

AI content disclosure

AI content disclosure is labeling material as machine-made where a platform requires it. Google's product listings require AI-generated images to carry a specific IPTC metadata code, and IPTC defines three different codes: created with generative AI, edited with it, and edited by a person.

Grounding

Grounding is tying an AI answer to retrieved sources rather than letting the model answer from memory. Google uses the word as a synonym for retrieval augmented generation. Microsoft treats groundedness as something you measure on a scale, which is the more useful way to think about it.

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