Advertising inside AI-generated answers is becoming a new battleground for marketers, but unlike traditional search and social platforms, the competitive landscape has been difficult to see. Similarweb is attempting to change that with AI Ads, a new data set within its Ad Intelligence platform designed to show how advertisements appear across ChatGPT, Google AI Overviews and Google AI Mode.

The product gives advertisers a way to analyze AI advertising placements, creative and context across markets, offering an early view into a channel that is developing rapidly but still lacks the transparency tools common across established digital advertising ecosystems.

For years, digital advertisers have had tools for watching competitors.

Meta has its Ad Library. Google operates an Ads Transparency Center. TikTok provides Creative Center. These databases give marketers at least some visibility into which companies are advertising, what creative they are using and, in some cases, where those ads are appearing.

AI-generated search and conversational interfaces have largely lacked an equivalent window.

Similarweb is now targeting that gap with AI Ads, a new data set within its Ad Intelligence platform that tracks advertising activity across ChatGPT, Google AI Mode and Google AI Overviews.

The company says its customers can use the data to conduct competitive analysis of AI advertising across global markets or individual countries. The system includes an Ads Gallery designed to show advertisements and the context in which they appear.

That visibility could become increasingly important as AI interfaces begin influencing how consumers discover products and services.

Similarweb estimates that 26% of ChatGPT responses already contain a sponsored advertisement in the Free and Go tiers, while nearly 30% of eligible Google AI Mode queries show ads. The company also says more than 40% of Google searches now trigger an AI Overview, where advertisements can appear.

Those figures should be treated as Similarweb's own measurements rather than independent market estimates, but they illustrate the scale of the shift underway. AI answers are becoming another surface where brands can compete for attention, and advertisers are beginning to ask the same questions they have long asked about traditional search: Who is buying? What are they showing? Where are they appearing? And what intent is driving the placement?

The challenge is that the mechanics of AI advertising are different from conventional keyword search.

A traditional Google search can often be reduced to a query, an auction and a set of sponsored results. Conversational AI introduces additional context. A user's intent may develop over several messages, with the system interpreting the conversation before determining whether an advertisement is relevant.

Similarweb says its AI Ads data is based on real user panel conversations rather than synthetic prompts. That distinction is important because synthetic testing can produce clean, repeatable results while failing to reflect the complexity of real-world conversations.

For advertisers, context can be just as important as the creative itself.

An ad shown after a user asks a broad informational question may have very different commercial value from one appearing after a conversation has narrowed toward a purchase decision. Similarweb says its future releases are expected to include advertiser share of voice, advertising categories and conversational intent, potentially giving marketers a more detailed picture of how brands compete inside AI environments.

The development also highlights an emerging limitation of conventional advertising intelligence.

Advertisers have spent years optimizing around keywords, audiences, placements and websites. AI search introduces a layer where the system itself interprets intent and determines the structure of the answer. The resulting advertising opportunity is therefore partly dependent on how an AI system understands the conversation.

That creates a new kind of competitive intelligence problem.

A company may know that it is running advertising through Google's broader advertising ecosystem, but it may not know how often its ads are being surfaced within AI-generated answers or how its creative compares with competing brands in those environments.

Similarweb's positioning is that AI Ads provides an external view of that activity.

The product sits within a broader evolution of marketing analytics in which advertisers increasingly need to understand not only where consumers click but how AI systems mediate discovery. ChatGPT, Google AI Mode and AI Overviews represent different approaches to AI-assisted discovery, yet all introduce a common challenge: marketers have less direct visibility into the decision-making environment between a customer's question and an advertising impression.

That could make AI advertising intelligence a meaningful new category within AdTech.

The timing is also significant. OpenAI has introduced advertising to ChatGPT for eligible users, while Google is expanding advertising opportunities around AI-powered search experiences. As these formats mature, agencies and brands will need measurement systems capable of comparing performance and competitive activity across traditional search and AI-mediated discovery.

Similarweb is attempting to establish itself early in that measurement layer.

Its competitive advantage will ultimately depend on the depth and reliability of its underlying data. Real-user observations can provide valuable context, but AI advertising environments can change quickly, and differences in geography, account type, subscription tier and query intent can materially affect what users see.

That makes continuous measurement more important than a static advertising database.

The larger market implication is clear: AI search is becoming an advertising environment, and marketers are beginning to demand the same competitive visibility there that they already expect from search and social platforms.

Similarweb's AI Ads launch is an early attempt to build that missing transparency layer. If AI-driven discovery continues to capture consumer attention, understanding who appears in those answers—and why—could become a standard part of the modern advertising intelligence stack.

Market Landscape

AI advertising is moving from an experimental concept toward an emerging layer of the digital advertising ecosystem.

Google has been incorporating ads into AI-powered search experiences, while OpenAI has introduced sponsored advertising into ChatGPT for eligible users. This creates a new competitive environment in which advertising is embedded within generated answers rather than simply displayed alongside a list of search results.

For marketers, the difference is substantial. Traditional search intelligence is largely built around keywords, rankings, ad positions and landing pages. AI advertising adds conversational context and machine-generated responses to the equation.

Similarweb's AI Ads positions the company between traditional competitive intelligence and the emerging field of AI search optimization and AI advertising intelligence. Its focus on real user conversations could help marketers understand actual behavior rather than relying exclusively on simulated queries.

The competitive landscape will likely expand quickly. SEO platforms, AdTech vendors, search analytics companies and AI marketing platforms are all potential candidates to build similar capabilities as AI-generated answers become a larger source of commercial discovery.

Strategic Outlook

The next phase of AI advertising measurement is likely to extend beyond identifying individual ads.

Marketers will want to know their share of voice inside AI answers, the types of conversations that generate commercial exposure, how competitors are positioned and whether specific creative or landing-page combinations perform better.

That could eventually create an AI advertising measurement stack spanning conversational intent, visibility, creative analysis, attribution and optimization.

For agencies and enterprise marketing teams, the strategic shift is significant. AI search should no longer be treated solely as an SEO issue. As sponsored placements become more common, AI discovery is becoming both a search optimization challenge and an advertising intelligence problem.

Top Insights

• Similarweb's AI Ads gives marketers visibility into advertising across ChatGPT, Google AI Mode and AI Overviews, addressing a major transparency gap.
• Real-user panel conversations provide competitive intelligence based on observed behavior, potentially offering richer context than synthetic AI search testing.
• AI advertising introduces conversational intent as a new variable, making traditional keyword and placement analysis insufficient for some emerging campaigns.
• Similarweb plans to expand AI Ads with share-of-voice and intent data, potentially turning AI advertising visibility into a broader measurement category.
• Enterprise advertisers will increasingly need AI search intelligence alongside traditional SEO, paid search and social advertising analytics as AI discovery expands.

Get in touch with our MarTech Experts