To rank in AI Overviews, a page has to be indexed and eligible to appear in Google Search with a snippet. Google’s documentation says there are no additional requirements and no special optimisations beyond that. So how to rank in AI Overviews comes down to ordinary SEO done properly, then measuring the result in Search Console’s generative AI performance report rather than guessing.
What does Google say it takes to appear in AI Overviews?
Google says the requirements are the same as for any search result with a snippet. Nothing extra is needed, and no special file, markup or schema unlocks the feature.
Google’s AI features page in Search Central is unusually direct about this. It states: “There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary.” It then spells out the bar: to be eligible as a supporting link, “a page must be indexed and eligible to be shown in Google Search with a snippet, fulfilling the Search technical requirements. There are no additional technical requirements.”
That sentence has three parts, and each one is something you can check on your own site:
- Indexed. The page is in Google’s index, not excluded, not a duplicate that Google folded into another URL.
- Snippet-eligible. Nothing on the page tells Google not to show a text snippet for it.
- Meets the Search technical requirements. In our checks, that means Googlebot can reach the page and it returns a 200, not a 403 or a redirect chain.
The same page reminds site owners to check that crawling is allowed “in robots.txt, and by any CDN or hosting infrastructure”. That last clause matters more than it looks, and we come back to it below. Google also notes that recrawling “can take anywhere from several days to several months”, so a fix you ship today will not show up tomorrow.
Is AI Overview optimization different from SEO?
Not according to Google. Its guidance treats AI Overview optimization as SEO, because the feature is built on the same ranking and quality systems that decide ordinary results.
Google’s guide to optimizing for generative AI features answers the question in its own words: “The best practices for SEO continue to be relevant because our generative AI features on Google Search are rooted in our core Search ranking and quality systems.” It describes grounding as relying on those core ranking systems “to retrieve relevant, up-to-date web pages from our Search index”. And it closes the loop on the new acronyms: “From Google Search’s perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO.”
The AI features page adds one mechanism worth understanding. AI Overviews and AI Mode “may use a ‘query fan-out’ technique”, issuing multiple related searches across subtopics to build a response. In practice, that means a page can be pulled in for a sub-question it answers well, not only for the headline query. We write for that: each section opens with a direct answer to one question, so a passage can stand on its own.
The guide also adds a condition that is easy to miss. In addition to the technical requirements, it says “a site must be included in Search generative AI features in Search Console to be eligible for display in generative AI features on Google Search.” The page we link does not describe that setting in detail, so check your Search Console property before assuming you are in.
Do you need llms.txt or special schema for AI Overviews?
No. Google says you do not need new machine-readable files, AI text files or special schema.org markup to appear in AI Overviews, because Google Search does not use them for this.
The optimization guide is explicit on llms.txt: creating one “will neither harm nor help your site’s visibility or rankings in Google Search, as Google Search ignores them.” It also warns against “overfocusing on structured data”, while noting that structured data is still worth keeping because it helps with eligibility for rich results.
That does not make llms.txt or schema worthless. Other AI systems behave differently, and our own AI Visibility rubric weights schema and structured data at 25% and llms.txt at 15%, because we score readiness across several answer engines, not just Google. But if your only goal is AI Overviews, those files are not the lever. Indexing and snippet eligibility are.
| Common AI Overviews SEO advice | What Google’s documentation says |
|---|---|
| Add an llms.txt file | Google Search ignores it; it neither helps nor harms |
| Add special AI schema | No special schema.org structured data is needed |
| Write in a special AI format or Markdown | Not needed; Google Search does not use these |
| Make sure the page is indexed | Required |
| Make sure a snippet can be shown | Required |
| Allow crawling in robots.txt and at the CDN | Listed as something to ensure |
How to rank in AI Overviews, step by step
Make every page you care about indexable and snippet-eligible, write it so its sections answer questions directly, then measure. This is the order we work in on client sites.
- List the pages you want cited. Start with the ones that answer questions your buyers actually type.
- Confirm each one is indexed in Search Console. A page Google has not indexed cannot be a supporting link.
- Check robots.txt allows Googlebot, and then check the CDN, firewall and hosting layer separately. A rule there can block a crawler that robots.txt allows.
- Remove anything that suppresses snippets on those pages, unless you added it on purpose.
- Give each page exactly one clear H1 and break the body into sections that each open with a direct answer.
- Confirm your property is included in Search generative AI features in Search Console.
- Wait for recrawling, then read the generative AI performance report for impressions by page.
Steps three and five are where we find the most problems, and neither is specific to AI. If you want a quick look at the AI crawler side, our free AI visibility checker reads your robots.txt rules for 11 AI crawlers and requests your homepage once with each crawler’s user agent. That is the checker’s own request, not the real crawler’s, and it covers the homepage only, so treat it as a first signal rather than proof that a crawler can reach your site.
How do you measure AI Overview appearances in Search Console?
Use the generative AI performance report. It shows how often links to your site were shown in generative AI features on Google Search, which pages earned those impressions, and where they came from.
According to Google’s Search Console help page for the report, you can use it to see how your organic impressions from generative AI features change over time, which pages get the highest or lowest impressions, and where impressions originate, for example by device or country. An impression here means a link to your site was shown to a user in a generative AI feature.
A few details change how you should read it:
- Pages are canonical. Data is grouped by the final URL after redirects and mostly assigned to the canonical URL, not a duplicate.
- Two links count once. In the chart, if two results from the same site appear in one generative AI feature, they count as a single impression. Add a URL filter and the chart aggregates by URL instead.
- The usual limits apply. Google says the standard Performance report limits, such as the 1,000 row limitation, apply here too.
- Web search only. The report draws on the Web search type of the Performance report.
- An empty report is a result. If your site has not received enough impressions in generative AI features, the report says so rather than showing a chart.
Google’s AI features page also notes that sites appearing in AI features are included in the overall search traffic in Search Console, so these impressions are not a separate, hidden channel. For a fuller walkthrough of logging appearances manually alongside the report, see our post on how to check if your site appears in AI Overviews.
One caveat for anyone reporting on this: Google’s own AI Overviews help page says AI Overviews appear “when our systems determine that generative AI can be especially helpful”. Not every query triggers one, so a page with no AI impressions may simply rank for queries where Google shows no AI Overview at all.
What we have seen
The fixes that matter for AI Overviews are the boring ones: crawler access at the infrastructure layer and clean page structure. Two findings from one engagement show why.
On one SEO Autopilot engagement, a US healthcare analytics company on WordPress behind a firewall, the firewall returned 403 to OpenAI’s and Anthropic’s search crawlers on every page. The trigger was a generic bad-bot rule matching the substring “searchbot”. Eleven other crawlers passed, and the client’s monitoring tool reported all sixteen AI crawlers as accessible, because it read robots rules instead of sending requests. Those were not Google’s crawlers, but it is exactly the kind of CDN-level block Google’s page tells you to rule out, and robots.txt alone would never have shown it.
On the same site, 21 of 39 pages had no H1 because the post template rendered the title as an H2. One template change took pages with exactly one H1 from 9 of 39 to 30. Neither fix is an “AI Overview tactic”. Both are SEO basics, which is Google’s point.
If you would rather have this run for you every month, SEO Autopilot is ₹20,000 a month (about US$230) for one site, with no setup fee and no minimum term. For the wider picture beyond Google, read what AI visibility means and how to measure it.
Frequently Asked Questions
How do I rank in Google AI Overviews?
Make sure the page is indexed and eligible to appear in Google Search with a snippet. Google says there are no additional requirements or special optimisations for AI Overviews beyond that, so standard SEO is the method.
Do I need schema markup to appear in AI Overviews?
No. Google says there is no special schema.org structured data you need to add for AI Overviews. Structured data is still worth using because it helps with eligibility for rich results.
Does llms.txt help with AI Overviews?
Not in Google Search. Google’s optimisation guide says llms.txt files will neither harm nor help your visibility or rankings in Google Search, because Google Search ignores them. Other AI services may use them.
How can I see if my site appears in AI Overviews?
Open the generative AI performance report in Search Console. It shows impressions from generative AI features over time, by page, and by device or country. If impressions are too low, it tells you so.
Why does my page rank on Google but not appear in AI Overviews?
Google shows AI Overviews only when its systems decide generative AI will be especially helpful, so many queries never trigger one. Check the page is snippet-eligible and that your site is included in generative AI features in Search Console.