Google’s AI Overviews (the AI-generated summaries that now appear at the top of many search results) represent the most significant structural change to the SERP in over a decade. For SEOs and content publishers, the implications are significant and still evolving.
What Are AI Overviews?
AI Overviews (previously called Search Generative Experience, or SGE) are AI-generated summaries that Google places above traditional organic results for certain queries. They pull from multiple sources across the web, synthesise an answer, and display it with citations to the original pages.
They don’t appear on every query. Commercial, navigational, and branded searches typically don’t trigger them. Informational queries with clear questions are where they appear most reliably.
How They Affect Click-Through Rate
The data so far points in one direction: when AI Overviews appear, click-through rates for traditional organic results drop, sometimes significantly. Users are getting their answer in the overview and not clicking through to the source.
However, the picture is more nuanced than a simple traffic loss narrative suggests. Sites that are cited within the AI Overview see a different pattern. They receive traffic from the overview itself, often with stronger purchase intent than a cold organic visit, because the user’s question has already been partially answered and they want to explore further.
The critical divide is between sites that are cited and sites that are not. If your content ranks in position 3 for a query that now shows an AI Overview but your content isn’t cited in that overview, you are losing traffic without any change in your organic ranking.
What Types of Content Get Cited?
Google’s AI systems appear to favour sources that:
- Answer questions directly and concisely in the opening paragraphs, without burying the answer in padding
- Carry strong E-E-A-T signals: demonstrable experience, recognised expertise, authoritative sources, and a trustworthy site reputation
- Use structured content: clear headings, short paragraphs, and FAQ sections that make individual answers easy to extract
- Are factually precise: AI systems are increasingly good at cross-referencing claims, and content with inaccuracies is less likely to be cited
- Have strong structured data: FAQ schema, HowTo schema, and Article schema help AI systems understand the context and purpose of content
How to Optimise for AI Overviews
1. Lead with the answer. Restructure key articles so that the direct answer to the query appears within the first 100 words, before supporting detail. This is the opposite of the traditional “build to the answer” editorial structure.
2. Add FAQ sections. Frequently-asked-question sections with concise, factual answers are disproportionately picked up by AI systems. Identify the related questions your target keyword generates and answer them explicitly.
3. Strengthen E-E-A-T signals. Add author bios with credentials, cite primary sources, link to authoritative references, and ensure your About and Contact pages are complete and credible.
4. Use structured data. Implement FAQ schema on pages with question-and-answer content, Article schema on blog content, and HowTo schema where appropriate.
5. Monitor your citation rate. Track which of your pages are being cited in AI Overviews for your target queries. Tools like Semrush and dedicated GEO monitoring platforms are beginning to surface this data.
The Bigger Picture
AI Overviews are not a temporary experiment. Google has rolled them out globally and continues to expand the query types they cover. The sites that will be best positioned over the next few years are those that invest now in content quality, E-E-A-T, and structured formats, not those waiting to see how it plays out.
This is, at its core, an acceleration of the direction SEO has been moving in for years: quality over quantity, genuine expertise over keyword coverage, and content that truly serves readers rather than gaming rankings. AI Overviews simply make those distinctions more consequential.