Google AI Mode SEO: Query Fan-Out and Source Selection

How does Google AI Mode find sources for a single question?

Google AI Mode splits one question into many related searches, runs them at the same time, and links pages found across the combined results. Google calls this query fan-out: concurrent queries across subtopics and data sources that fetch additional results for the answer.

Google AI Mode is a mode of Google Search that answers a question in a longer AI-written response with links to its sources, and lets the user ask follow-ups. Google describes it as “particularly helpful for queries where further exploration, reasoning, or complex comparisons are needed.” Behind each answer sits query fan-out, which Google defines in two of its own documents:

• AI features documentation (December 2025): AI Overviews and AI Mode “may use a ‘query fan-out’ technique — issuing multiple related searches across subtopics and data sources to develop a response.”
• AI optimization guide glossary (July 2026): “A set of concurrent, related queries generated by the model to request more information and fetch additional relevant search results to address the user’s query.”

A sub-query is one of those related searches: a narrower question the model generates from the user’s original one. The consequence for a site is that AI Mode can link a page that answers one part of a question well, even if the page would never rank for the question as typed. A pricing page, an integrations page and a review round-up from three different sites can all be linked in one answer about choosing a CRM, each for the sub-query it covers.

That changes the unit of optimization. Ranking for one head term matters less than having a clear, findable answer for each of the narrower questions the head term breaks into.

How do you optimize a website for Google AI Mode?

Optimize for Google AI Mode in 4 steps: map the sub-queries behind each target question, cover every sub-query with a self-contained section, connect those pages with descriptive internal links, and track AI Mode impressions page by page in Search Console.

AI Mode draws only on pages that are indexed and eligible for a snippet, and the site must be included in Search generative AI features in Search Console. Those checks come first; the four steps below assume they pass.

Map the sub-queries behind each target question

Start with the questions that matter to the business — the ones buyers ask before choosing a supplier — and write down the narrower searches each one implies. The fan-out example in the panel above breaks “best CRM for a 10-person sales team” into six:

1. CRM pricing for small teams
2. CRM with email sequencing
3. CRM onboarding time
4. CRM integrations with Gmail
5. CRM reviews from small agencies
6. CRM data export options

These are illustrative sub-queries: Google does not publish AI Mode’s actual sub-queries, and no tool can list them. Three sources get close. People Also Ask boxes and related searches in Google show adjacent questions; sales and support conversations show what buyers compare; and the Gemini API offers an observable proxy.

The proxy works like this. When a developer enables grounding with Google Search in the Gemini API, the model decides whether a search would improve the answer, then generates and runs one or more search queries itself. The API response lists the queries the model executed alongside the answer and its source links. Sending a seed question through it shows how a Gemini model splits that question into searches. It is a proxy, not AI Mode itself — the model, settings and prompt differ — but it replaces guesswork with a list the model actually produced.

Cover every sub-query with a section that answers it alone

Match each sub-query to a page and a heading on your site, then mark whether that section answers it on its own. A section answers alone when its first sentences name the subject and state the fact without depending on the paragraphs above.

In this example, 4 of 6 sub-queries are covered and 2 are missing, so two parts of the answer have no page on the site that AI Mode could link for them. The missing rows become the content plan: a new section on an existing page where the topic fits, a new page where it does not. The downloadable worksheet has the same columns plus one for impressions.

A “Covered” status needs a strict test. Read only the heading and the first two sentences under it, as a model lifting one passage would. “Onboarding takes about two weeks for a 10-person team, including data import and one training session” answers the onboarding sub-query alone. “As we mentioned above, it depends” does not, even if the full answer appears three paragraphs later. Mark a section “Covered” only when the opening sentences would make sense quoted on their own, with the product, the number and the condition all present.

Connect sub-query pages with descriptive internal links

Pages that answer the sub-queries of one question belong together, and internal links should say so. Link from the pricing section to the integrations page with an anchor that names the topic, such as “Gmail integration setup”, not “click here” or “learn more”. Descriptive anchors tell Google what the target page answers, and a hub page that links every sub-query page for a seed question gives Googlebot one path to the whole set.

Keep each link where the reader needs it: inside the paragraph that raises the next question. A link list at the foot of a page is easy to add and easy to ignore; a link in context shows how the pages relate.

Follow-up questions make this matter more in AI Mode than in a single search. A user who asks about CRM pricing and then asks about Gmail integration asks a second question on a related topic, which AI Mode can answer with a new set of related searches, and a site whose pages already link the two topics offers answers for both turns of the conversation.

Track AI Mode impressions page by page

Search Console’s Generative AI performance report counts how often links to a site appeared in AI Overviews and AI Mode, and its Pages dimension shows which URLs earned those impressions. Compare that list with the coverage matrix each month: covered pages with impressions confirm the map, covered pages without any point to weak sections, and impressions on pages missing from the map reveal sub-queries you had not listed. Prompt-level checks fill in what the report leaves out, and the method for AI Mode citation tracking that way is on the AI visibility page.

How is AI Mode different from AI Overviews?

AI Mode is a Google Search mode for exploration, reasoning and complex comparisons, while AI Overviews give the gist of a topic within regular search results. Both use query fan-out, share the same eligibility rules and snippet controls, and report in one Search Console report.

AI Overviews are the AI summaries Google shows at the top of some regular search results pages. AI Mode is a separate experience where the whole response is AI-written and the user can keep asking follow-ups.

Five of the six rows are identical. The difference is purpose, and it shapes the work: AI Overviews reward a clear answer to one question, while AI Mode, built for longer and comparative questions, rewards a site that answers many of the sub-questions around it.

Where does AI Mode data show in Search Console?

AI Mode data shows in Search Console's Generative AI performance report, alongside AI Overviews. The report counts how often links to a site appeared in these features. Traffic from AI Mode also sits inside the Performance report's Web search type.

Search Console’s Generative AI performance report became available to all sites on 31 August 2026. Its metric is impressions — “how many times links to your site were shown to a user in a generative AI feature on Google Search” — broken down by page, country, device and date. Clicks from AI features are counted in the main Performance report under the “Web” search type, mixed with clicks from regular results.

For AI Mode work, the Pages dimension is the useful one, because it is where the coverage check in step 4 happens. Read it at the level the report is built for: the set of pages Google links in its generative AI features. Where AI Mode and AI Overviews figures need to be told apart, check your own property rather than assume the report separates them, and use prompt-level checks in AI Mode itself to see which page was linked for which question.

Does AI Mode use the same eligibility rules as AI Overviews?

Yes. AI Mode draws only on pages that Google has indexed and can show with a snippet, the same rule that governs AI Overviews. Google lists no extra technical requirement for AI Mode beyond the Search Console setting for generative AI features.

Google’s documentation states one rule for both: a page must be indexed and eligible to be shown in Google Search with a snippet, and the same preview controls apply. The three eligibility checks, the four snippet controls and what each one does are set out in the guide to AI Overviews SEO, and every one of them applies to AI Mode unchanged.

Fan-out explains where AI Mode looks. Whether passage format changes what it lifts is still unmeasured — a planned test covers it.

What will Bikash Roy’s AI Mode experiment measure?

Bikash Roy's planned Exp 04 measures whether AI Mode and AI Overviews lift answer-first passages more often than story-first passages. Paired pages carry identical facts in two orders; the test runs for 6 weeks and publishes its raw data.

• PlannedExp 04

  Answer-first vs story-first: which passage do AI Overviews and AI Mode lift?

  Paired pages with identical facts; one leads with the answer, one with context.

  Status: planned · Engines: AI Overviews, AI Mode · Duration: 6 weeks

The test has no result yet, and none is claimed here. It sits alongside Exp 01, which is running and checks 50 fixed prompts weekly across 6 engines, AI Mode included, to see whether a new domain earns any citations within 90 days. Both are listed with their methods on the GEO experiments page.