Google says both AI Overviews and AI Mode may use query fan-out. That matters because a lot of AI Mode advice treated fan-out as the dividing line between the two.
It is not. The useful distinction is the experience each one provides. AI Overviews appear within the main results when Google decides a summary would help. AI Mode is a separate conversational experience designed for deeper exploration, comparisons, reasoning, and follow-up questions. Google also says the two surfaces may use different models and techniques.
For site owners, the practical advice is less exotic than the terminology makes it sound.
TL;DR
- Fan-out is shared: Google says both AI Overviews and AI Mode may use query fan-out, issuing related searches across subtopics and data sources to build a response.
- Different experiences: AI Mode is a separate conversational Search experience built for deeper exploration and follow-ups, while AI Overviews give a quicker summary within regular results.
- No special optimization: Google does not require a special AI file, special schema, or a separate optimization program for AI Overviews or AI Mode.
- Fan-out stays hidden: Google does not publish the exact fan-out queries behind a response, so any complete map of them is an estimate.
- What you control: Useful coverage, crawlability, internal links, and accurate page content remain the work that shapes visibility in Google’s AI surfaces.
AI Mode and AI Overviews are different interfaces
Google introduced AI Mode to U.S. users in May 2025 as a dedicated Search experience with follow-up questions, multimodal input, and links to supporting websites. AI Overviews stay within the standard results page and appear only when Google’s systems decide they add something useful.
| Surface | Where it appears | Best suited to | Query fan-out |
|---|---|---|---|
| AI Overviews | Within the main search results | Getting the gist of a complicated topic or question | May use it |
| AI Mode | In a dedicated conversational Search experience | Further exploration, reasoning, comparisons, and follow-ups | May use it |
Google’s current documentation for AI features is explicit on this point: both surfaces may use query fan-out, and the responses and links can differ because the systems may use different models and techniques.
That is a better basis for planning than trying to assign one retrieval method to one interface.
What query fan-out does
Google describes query fan-out as issuing multiple related searches across subtopics and data sources to develop a response. While the response is being generated, Google’s systems can identify additional supporting pages.
That creates more possible routes to discovery than an exact-match view of the original query. It does not mean every narrow page gets retrieved, that a topic cluster automatically beats one strong resource, or that a citation is guaranteed. Google does not publish the exact fan-out queries for a response, so anyone claiming to know the complete question tree is estimating it.
I still map the questions that sit around a buying decision. I just treat that map as a content-planning tool, not a reverse-engineered copy of Google’s hidden queries.
A practical content workflow
Start with the decision, not a guessed fan-out list
Write down the decision a visitor is trying to make. Then identify the information a useful answer genuinely needs, such as fit, cost, tradeoffs, alternatives, and proof. If one page can cover those points well, keep them together.
Create a separate supporting page only when the subtopic deserves a complete answer of its own. Google’s newer guidance on generative AI features warns against producing pages for every imagined query variation simply to influence rankings or AI responses.
Make the answer easy to find on the page
Use descriptive headings and answer the section’s question early. Support the answer with evidence, an example, or a useful comparison. This helps a visitor scan the page and gives search systems clear text to evaluate. It is good publishing practice, not a special AI Mode format.
Connect genuinely related resources
Internal links help people and crawlers find the rest of your coverage. A topic cluster can be useful when each page has a distinct job. It becomes clutter when several pages restate the same advice with slightly different keywords.
My topic cluster builder prompt can help draft the structure, but the final test is simple: would each proposed page still be worth publishing if query fan-out did not exist?
Keep business facts consistent
Google recommends keeping Merchant Center and Business Profile information current, and making sure structured data matches visible page content. Apply the same discipline across your homepage, About page, service pages, directory profiles, and other public listings.
Consistent facts reduce ambiguity. They do not force an AI response to mention you.
How to measure the result
Google includes visits from AI features in the overall Web performance report in Search Console. Google completed the worldwide rollout of dedicated generative-AI performance reports on August 31, 2026.
The separate reports show impressions with breakdowns by page, country, date, and, for Search, device. They do not currently isolate clicks or query data. The overall Web report still contains AI-feature traffic alongside other Search traffic. Neither view exposes the fan-out queries behind a response.
A fixed manual prompt panel can answer a different question: does your brand appear accurately for the same set of buyer questions over time? Record the date, location, account state, surface, wording, sources, and result. That will not reveal Google’s hidden retrieval process, but it will give you a repeatable observation instead of a memorable anecdote.
Who should prioritize AI Mode
AI Mode is particularly relevant when customers need to explore a subject, weigh several options, or ask follow-up questions before deciding. Consulting, software, and professional services often fit that pattern.
That does not make AI Mode the only surface worth serving. People still use classic results and AI Overviews, and Google has not announced that either will disappear. Build pages that help with the decision itself and let the same work serve every Search experience where it is eligible.
What I would do next
Choose one important customer decision and review the pages that support it. Remove duplicate coverage. Fill the real information gaps. Add evidence where you currently make broad claims. Make the useful answer easy to find in the page text.
That work does not depend on knowing which hidden query Google might issue, and it remains useful if the interface changes again.
If you want help mapping one important customer decision to the content already on your site, Book a free 30-minute call and bring the question your buyers struggle with most.
