How to Optimise Content for AI Overviews in 2026

Optimising for AI Overviews means writing content that generative engines can quote and attribute: clear self-contained answers, real cited evidence, strong entity signals, and broad topic coverage. The foundational GEO research found these methods can raise visibility in generative answers by up to 40%.

AI Overviews now sit above the traditional results for a large share of informational queries, and they change how attention flows. This guide explains what actually moves the needle for citations, using published research rather than untested claims.

What is the evidence that optimising for AI search works?

The clearest evidence comes from the original academic work on the subject.

The Princeton-led paper that defined the term, GEO: Generative Engine Optimization, tested a range of content methods against generative engines and found that the right techniques could boost a source’s visibility in generative responses by up to 40%. The methods that worked were not keyword tricks. They centred on adding citations, statistics, quotations and authoritative language that make a passage easy for an engine to trust and reuse.

That research reframes the task. You are not trying to rank a page, you are trying to write passages that a generative engine will select and attribute. Everything below follows from that shift.

Why does optimising for AI Overviews matter now?

Because AI Overviews are reshaping click behaviour, and the cost of being left out is rising.

Ahrefs analysed 300,000 keywords and found that the presence of an AI Overview correlated with a 34.5% lower clickthrough rate for the top-ranking page compared with similar queries that had no AI Overview, with a later update putting the figure higher still. If an AI Overview answers the query and you are not one of the cited sources, you lose both the click and the visibility. Earning the citation is how you stay in the conversation.

How do you structure content so AI engines cite it?

Write so that any single section can stand alone as a complete, quotable answer.

• Lead each section with a direct one or two sentence answer, then expand.
• Phrase headings as the real questions people and AI assistants ask.
• Keep claims specific and attributable, and cite a real source for every statistic.
• Use plain, declarative sentences rather than long qualified ones.

This mirrors what the GEO research rewarded: passages dense with verifiable evidence and clear statements. It is also why this very article leads each section with an answer before expanding on it. For the underlying concepts, our explainer on what AI search optimisation is sets out the building blocks.

Which off-page signals influence AI citations?

Brand presence and video carry real weight, alongside the on-page work.

Ahrefs’ study of 75,000 brands across ChatGPT, AI Mode and AI Overviews found that branded web mentions and YouTube presence showed the strongest correlations with AI visibility, with YouTube the single highest factor in their data. The same analysis found that brands in the top quartile for web mentions earned many times more AI Overview citations than the quartile below.

The practical reading is that AI visibility is partly a function of how widely and consistently your brand is referenced across the web, not only what sits on your own pages. That is slower to build than a content edit, but it is durable. It is also one of the harder things to assess alone, which is why our comparison of specialist AI search agencies weighs how each one approaches off-page and entity work.

What should you avoid?

Avoid tactics with no evidence behind them, and avoid optimising for one engine in isolation.

A useful corrective: the GEO research found that some intuitive tactics, such as stuffing in more keywords, did little or nothing for generative visibility, while evidence-led methods did. Chasing unproven shortcuts wastes budget. It is also a mistake to optimise only for Google’s AI Overviews when ChatGPT, Gemini and Perplexity cite sources through their own processes and often pull from pages that never rank in Google. Build for the broader topic and the multiple engines, not a single answer box.

Putting it into practice

Start with your highest-intent topics, rewrite each page so every section answers a real question with cited evidence, and check your brand and video footprint around those topics. Then measure citations across the major AI engines rather than rankings alone.

If you would like an external read on where you stand, our free AI visibility audit shows how your business currently appears across ChatGPT, Gemini, Perplexity and AI Overviews, and where the citation gaps are.