Ads Inside AI Overviews: How to Win Visibility in Google's New Search Experience

Google's AI Overviews have fundamentally changed the search results page. Instead of a list of blue links, many queries now trigger an AI-generated summary at the top of the page that synthesises information from multiple sources into a direct answer. And as of 2026, ads are appearing inside these summaries.

This is not a minor interface tweak. It changes where ads appear, how relevance is determined, and what advertisers need to do to remain visible. Here is what you need to know.

How AI Overviews work

AI Overviews appear when Google's systems determine that a generative AI response would be helpful for a particular query. They are most common for informational and research-oriented searches, though they are expanding into commercial queries as well.

The overview synthesises information from across the web, presenting a summary with citations. Users can expand the overview for more detail or click through to the cited sources.

AI Overviews are now available in over 200 markets worldwide, and they appear for a growing proportion of queries.

Where ads appear

As of early 2026, ads can appear in three positions relative to AI Overviews: above the overview, below it, and within the AI-generated summary itself. The above and below placements are available globally. The within-overview placement is currently live in English in the United States.

Ads within the overview are integrated into the AI-generated content. They appear as sponsored results that are contextually relevant to the information being presented.

How ad placement is determined

Google uses a dual-relevance system to determine which ads appear within AI Overviews. The ad must be relevant to both the user's query and the content of the AI Overview itself. This goes beyond traditional keyword matching.

Search and Shopping ads from existing Search, Shopping, and Performance Max campaigns are automatically eligible. There is no separate campaign type or opt-in required.

What you cannot control

You cannot directly target placements within AI Overviews. There is no bid modifier or targeting option.

You also cannot opt out. If your campaigns are running, your ads may appear within AI Overviews whether you want them to or not.

Google does not currently provide segmented reporting for ads shown within AI Overviews versus traditional placements.

What this means for strategy

The rise of AI Overviews reinforces several strategic priorities that were already important, but are now critical.

First, landing page quality matters more than ever. Pages that thoroughly address the topic, answer common questions, and provide genuine depth are more likely to be deemed relevant.

Second, ad copy relevance needs to be considered in the context of broader topics, not just individual keywords.

Third, structured data and clear page organisation help Google's systems understand what your content is about. This has always been good practice for SEO, but it now has direct implications for paid search visibility as well.

The reporting gap

The lack of segmented reporting is the single biggest challenge for advertisers trying to optimise for AI Overviews.

Until Google provides this data, the best approach is to monitor overall campaign performance for changes that correlate with the rollout of AI Overview ads in your market.

You can also use Google Search Console to monitor which queries trigger AI Overviews for your site's organic listings.

Looking ahead

Google has stated that ads in AI Overviews will continue to expand, both geographically and in terms of the query types they cover.

Additionally, Google's AI Mode, which presents entirely AI-generated responses rather than traditional search results, is also beginning to incorporate ads.

For advertisers, the implication is clear. The search results page is being restructured around AI-generated content, and ads are being woven into that content. Relevance, quality, and topical depth are becoming more important, while keyword-level control is becoming less granular. Adapting to this reality is not optional.