Platform Tactics
Google AI Overviews for Agencies
AI Overviews sit on top of the world's largest search engine. Here is how the surface works and how an agency optimizes for it.
Clark Tota
Editor & Founder
Published April 17, 2026 · Updated May 12, 2026 · 9 min read

Google AI Overviews is the AI-generated summary that sits above the traditional results for many queries. Because it sits on the world's largest search engine, it is the answer surface with the most reach — and an important target for any agency doing AEO.
How the surface behaves
An AI Overview synthesizes an answer and links to supporting pages. It tends to draw on content that is already performing in traditional search and that is structured for direct extraction. This makes AI Overviews the surface where SEO and AEO overlap most: strong conventional search performance is a prerequisite, and answer-first structure is the differentiator.
- Earn conventional relevance — AI Overviews mostly draw from pages already ranking.
- Lead with the answer — content that directly resolves the query is easier to summarize.
- Structure for navigation — clear headings and sections help the model find the relevant passage.
- Mark it up — schema reinforces what each section claims.
Measuring presence
Track which client queries trigger an AI Overview, whether the client is among the linked sources, and how that changes over time. Search Console performance data plus manual prompt checks together give a workable picture.
Before
A page ranked on page one but was not pulled into the AI Overview for its query — its answer was buried mid-article.
After
Moving a direct, 50-word answer to the top of the page led to it being referenced in the Overview.
Takeaway
The page already had the authority. It lacked the extractable answer up front. Structure was the whole gap.

The Editor
Clark Tota
Clark Tota runs Answer Engine Weekly and a GEO/AEO consulting practice. He spends his weeks running prompt experiments against ChatGPT, Perplexity, Google AI Overviews and Claude — measuring which sources get cited and why — then writing up what actually moved the needle.
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