Ads in the Age of AI Summaries
Navigating the new frontier of advertising within AI-generated summaries from Google, Microsoft, ChatGPT, Gemini, and beyond.
The Current State: Experimentation Is Key
As of May 2025, neither Google nor Microsoft has fully launched comprehensive advertising solutions within their mainstream AI-powered search summaries. Instead, the approach is characterised by ongoing experiments and limited rollouts.
Google has been testing advertisements within its AI Overviews — the feature that provides AI-generated summaries at the top of search results. These tests are primarily visible to a subset of mobile users in the United States, serving as a crucial test bed for understanding how users interact with ads in an AI-driven format.
Microsoft, while heavily investing in AI for Bing search (now often referred to as Copilot), has been less public about specific ad integrations within AI summaries. Crucially, these AI summary ad formats have not yet been widely observed in Europe, suggesting any future rollout will be gradual and subject to regional regulatory considerations.
What Could Ads in AI Summaries Look Like?
Based on current experiments and industry discussions, ads within AI summaries could take several forms — always with the crucial caveat that they must be clearly distinguishable from organic AI-generated content:
- Contextual Sponsored Links: Similar to traditional search ads, but placed within or alongside the AI summary, directly relevant to the user's query
- Product Carousels or Listings: For commercial queries, AI summaries might be accompanied by scrollable product ads
- Clearly Labelled Sponsored Sections: Distinct blocks of text or rich media clearly identified as advertising
Why Advertisers Are Watching Closely
Despite the cautious rollout, the potential benefits keep advertisers and platforms keenly interested:
- Hyper-Contextual Targeting: Delivering ads precisely when a user is actively seeking related information offers a powerful opportunity for relevance
- Engaged Audiences: Users interacting with AI for answers are often deeply engaged, potentially making them more receptive to well-matched solutions
- New Ad Inventory: For platforms like Google and Microsoft, this opens up valuable new advertising real estate, crucial for funding ongoing AI development
The Hurdles: Costs, CTR, and Zero-Click Experiences
User Experience and Trust
A primary concern is that AI ads could feel more intrusive than traditional formats, potentially disrupting the utility of a summary. Users must trust that the AI's primary summary is not biased by advertising. Transparency and clear disclosure of ad placements cannot be overstated.
Lower CTRs and Zero-Click Experiences
If AI summaries provide comprehensive answers, users might have less incentive to click through to websites, staying within the AI conversation. This could lead to significantly more zero-click experiences — great for user convenience, but a challenge for website-dependent businesses. There is also speculation that platforms like Google might facilitate more on-platform checkouts, further reducing clicks to external sites.
Premium Pricing and New Metrics
Given the potential for high relevance, ad placements within AI summaries could command premium pricing, leading to higher CPCs. A new key performance indicator may emerge: AI Summary Share — the percentage of times a brand's ads appear within relevant AI summaries, potentially becoming the new holy grail for advertisers.
The Broader Ecosystem and the Long Road Ahead
While search giants are a primary focus, the broader landscape of conversational AI tools — ChatGPT, Gemini, Perplexity, Grok, and others — also face questions about monetisation. Some may opt for subscription models, while others might explore forms of advertising or partnerships.
The integration of ads into AI summaries is not an overnight revolution but an evolution that will likely take years to fully materialise and stabilise. The current experimental phase and limited geographic rollout suggest a gradual, iterative approach from tech companies. For advertisers, this means staying informed, testing early where possible, and ensuring your Google Ads and SEO strategies remain robust as the landscape shifts.
Frequently Asked Questions
Are there ads in Google's AI Overviews?
Will AI summaries reduce click-through rates for advertisers?
What is AI Summary Share?
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