AI Visibility Signal
Google may be the most under-measured AI search surface
Most AI visibility conversations focus on ChatGPT, Perplexity and Claude. But Google's AI Overviews and AI Mode may be the larger and more immediate commercial surface for many buyers. Marketing teams need to measure visibility across AI-augmented search, not only standalone AI tools.
What happened
Most of the AI search conversation still centres on ChatGPT, Perplexity, Claude and Gemini as standalone tools. That makes sense. They are obvious, visible and easy to test.
But Google is now putting AI directly into the search experience itself.
At Google I/O 2026, Google said AI Overviews now has over 2.5 billion monthly active users. It also said AI Mode has surpassed 1 billion monthly users, with queries more than doubling every quarter since launch.
That matters because Google is not sitting outside the AI search shift. It is one of the main places where the shift is happening.
Why it matters
Marketing teams can easily under-measure Google in the AI visibility conversation.
A buyer does not need to leave Google and open a dedicated AI tool for AI to shape their journey. They may see an AI-generated summary, comparison or recommendation directly inside the search results.
That changes what organic visibility means.
For years, marketers measured search visibility through rankings, impressions, clicks and organic conversions. Those metrics still matter. But they no longer show the whole research journey if Google is answering more questions directly, summarising options, citing sources and shaping the next click.
The commercial risk is not only that traffic may fall. The bigger risk is that your product may be absent, weakly described or poorly evidenced when AI-generated answers shape the buyer's shortlist.
This is especially important for B2B categories where buyers ask questions such as:
- What are the best solutions for this problem?
- Which suppliers work in this market?
- How do these products compare?
- What should we consider before buying?
- Which companies are credible for this use case?
If Google's AI surfaces are helping answer those questions, then they are part of the shortlist formation process.
What to do next
Do not treat AI visibility as a single-channel problem.
It is not enough to ask, "Do we appear in ChatGPT?" That may be useful, but it is incomplete.
Marketing teams should look across the full set of AI-assisted discovery surfaces, including:
- Google AI Overviews
- Google AI Mode
- ChatGPT search
- Perplexity
- Gemini
- Claude
- other answer engines and AI research tools relevant to the buyer
The important question is not simply whether your brand appears. It is whether your products and services are visible, accurately described and supported by credible evidence when buyers ask commercially relevant questions.
That means auditing prompts across the buyer journey, not just brand terms. It also means looking at the sources being cited, the competitors being recommended and the content gaps that make your business harder for AI systems to understand.
The lesson for marketers
AI search is not replacing Google in a neat, separate category. AI is being absorbed into Google.
That makes AI visibility a broader discipline than many teams assume. It sits across search, content, product marketing, evidence, digital PR, comparison pages, case studies, technical crawlability and content architecture.
The organisations that adapt fastest will not be the ones that chase every new AI tool in isolation. They will be the ones that understand where buyers are asking questions, what answers they are seeing and whether their products belong in those answers.
Google is still search. But search is no longer only search.