Strategy & planning
How do I optimize for Google AI Mode?
Structure for extraction
Use the question as the heading and put the answer in the sentence beneath it. Keep each answer independent enough to be lifted without the section above it.
Tables and short lists of named options with named attributes are picked up disproportionately, because they resolve several branches of the fan at once.
Cover the fan, not the keyword
Build out the adjacent questions — cost, alternatives, suitability for specific situations, how to migrate, what the drawbacks are. Each is a branch you can be retrieved for.
Because selection is passage-level, a small focused page can be cited for a query far broader than anything it could rank for. That asymmetry is the opportunity.
See where you actually stand
We ask AI engines the questions your buyers ask and show you whether you were named, who was named instead, and which sources they cited. Free.
Related questions
AI Overviews run on Google's core ranking and quality systems, then select passages through query fan-out — breaking one question into several sub-queries and retrieving a passage for each. Because selection happens at passage level, most cited pages do not rank in the organic top ten for the original query.
Query fan-out is when an AI engine breaks a single question into several related sub-queries, searches each one separately, and synthesises the results into one answer. Asking for 'the best CRM for a small agency' might fan out into searches for best CRM 2026, CRM pricing for small teams, and agency CRM reviews.
Yes — arguably more, in a narrower way. Google's AI features run on the same core ranking and quality systems as search, and the engines that browse retrieve from search results. If you are not crawlable, indexable, and credible, you are not in the pool an AI answer is assembled from.
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Last reviewed 2026-07-30.