By Hezron Ochiel
For years, website owners have used Google Search Console to track impressions, clicks, queries, countries, devices and pages.
AI search created a new measurement problem. A website could appear inside an AI-generated answer, shape what a user reads and still leave the publisher with little evidence of what happened.
Google has now started to close part of that gap.
The company has introduced dedicated generative AI performance reports in Search Console. Separate reports are available for Search and Discover. This article focuses on the Search report, which covers visibility in AI Overviews and AI Mode.
Google is not counting AI visibility for the first time. That visibility was already included in the wider Search performance report. The new development is the separate view, which allows website owners to study AI impressions more clearly.
Google defines an impression as the moment when a link to a website appears to a user in a generative AI feature. The report shows which pages appear, where the impressions come from, which devices are used and how visibility changes over time.
This gives communication teams a clearer view of whether their research, expert articles, or institutional pages are appearing in Google’s AI-led search experience.
That matters because AI visibility is becoming part of how organisations are discovered and understood.
Why PR teams should care
The report will naturally attract SEO professionals. It also has clear value for public relations and communication teams.
Search visibility is now part of reputation.
When people search for an organisation, leader, service or public issue, they may receive an AI-generated answer before reviewing traditional search results. The sources selected for that answer can shape how the subject is understood.
In my earlier article, What PR Teams Should Measure in 2026, I argued that communication teams need to look beyond media mentions, reach and engagement.
They also need to ask whether their organisations are becoming easier to find, trust and cite.
Google’s new report adds another useful indicator:
How often did the organisation’s content appear inside Google’s generative AI features?
That question was difficult to answer through Search Console alone. Now, part of the answer may be visible.
What an AI impression proves — and what it does not
An AI impression confirms that a link to a page appeared within a generative AI feature.
It can help teams identify which pages Google is surfacing, where that visibility is occurring and whether it is growing over time.
The page-level data may be especially useful. Website owners can compare pages that appear often with those that remain invisible and look for shared qualities such as original evidence, clear explanations, credible sources and strong topic relevance.
These insights can guide future publishing.
An impression still measures appearance. It does not show the full role the page played in the answer.
A high number of AI impressions may show that Google is surfacing an organisation’s content. It does not prove that the organisation influenced the final answer.
This is similar to traditional media measurement.
A media mention confirms that an organisation appeared in a story. It does not always show whether the key message came through, whether the tone was favourable or whether the audience acted.
AI impressions need the same careful interpretation.
An impression is evidence of visibility. It is not proof of influence, trust or action.
What Google still does not reveal
The missing information falls into three areas: context, prominence and outcome.
Google’s current documentation does not list query or prompt data among the available dimensions. A communication team may therefore know that a page received AI impressions without knowing what people asked.
That is a major limitation.
A page about a health programme could appear when users ask what the programme offers, how to apply, whether it is credible or whether complaints have been raised. Each question carries a different communicative meaning, yet the total impression cannot show that difference.
The report also does not explain how prominently the source appeared, which claim it supported or whether the organisation’s name was clearly visible.
It cannot fully show what information the AI system drew from the page, how accurately it was represented, or whether the appearance led to trust, action, or further engagement.
This matters for Generative Engine Optimisation.
GEO focuses on making information easier for AI systems to find, understand and cite accurately. The report can show that a page appeared. It cannot yet show exactly how the page shaped the answer.
The attribution problem remains
The deeper challenge is attribution.
An organisation may publish the original research. A journalist may report on it. A professional association may later cite the journalist. Google may then display the association’s page in an AI answer.
The original organisation helped shape the information chain, yet the visible citation may point elsewhere.
This connects directly with my earlier test: I Tested 10 PR Questions Across Three AI Tools. No African PR Source Was Visibly Credited.
The central issue was visible attribution.
African professionals and institutions may contribute ideas, research, and experience to the wider information environment. Their work can still remain missing from the sources shown to users.
Google’s new report can help website owners see when their pages appear. It does not yet reveal the full journey from the original source to the final generated answer.
How communication teams should use the report
The new data should be one component of a broader AI visibility dashboard.
Use the report alongside manual testing, search behaviour, website outcomes and reputation analysis.
Start by tracking impressions, pages, countries, devices and changes over time.
Then test priority questions manually. Record whether the organisation appears, how it is described, which sources are cited and whether the information is accurate.
Review branded searches, clicks, referral traffic, engagement and enquiries to see whether visibility is leading to audience action.
The final layer is reputation. Are priority messages appearing? Is the organisation’s expertise recognised? Are outdated or negative narratives shaping the answer?
Together, these measures provide a fuller picture than AI impressions alone.
Why African organisations should pay attention
Many African institutions already produce valuable research, policies, reports, case studies and expert knowledge.
Much of that information remains buried in PDF files, internal documents or poorly structured web pages.
Google’s new report may help organisations see whether their knowledge is entering AI-led discovery. It may also expose gaps in digital authority, technical search performance, content structure and external citation.
An organisation can publish regularly and still receive little visibility from generative AI.
The report may make that problem easier to see.
This connects with the wider argument in The Ultimate Guide to AI Search, Brand Reputation, and Public Relations in Africa: organisations need to make their knowledge easier for people and machines to find, understand and trust.
The next measurement challenge
Google has given website owners a clearer view of AI visibility.
The report makes it easier to identify which pages appear, where impressions occur and how performance changes over time.
The next challenge is understanding what the content contributed to the answer, how it was presented and what happened after it appeared.
Google has opened a window into AI search visibility.
The next step is showing the influence behind the impression.
Hezron Ochiel is an award-winning strategic communications and public relations professional with over 15 years of experience in media, digital communication, and reputation strategy. He serves as the Deputy Corporate Communications Manager at the government-owned Kenya Medical Training College (KMTC) and is the founder of Hezron Insights, where he writes about AI visibility, Digital PR, SEO, GEO, and digital authority. His work has appeared on platforms including Reuters, The New Humanitarian, and The Standard.