AI Reporting Gaps

Google has acknowledged that its Search Console reporting does not provide a perfect picture of how websites appear in AI-powered search.

Google Search representative John Mueller recently responded to criticism of the way Search Console reports performance in AI search features, explaining that measuring visibility has become increasingly difficult as search results move beyond the traditional list of blue links.

Search Console’s AI Reporting

Google introduced its new Search Console reporting for generative AI search features in June 2026, initially making it available to a limited number of websites before rolling it out globally on 31 August.

The report provides data on impressions generated through AI-powered search features, including AI Overviews and AI Mode. However, it is essentially a filtered view of existing Search performance data rather than a completely separate reporting system.

This has raised questions about whether the figures give website owners enough information to understand how their content is actually being seen within AI search results.

SEOs Question How Impressions Are Measured

A discussion on Reddit highlighted several potential problems with applying traditional Search Console metrics to AI Overviews.

One concern is that an impression does not necessarily mean the user actually viewed a particular link. A page can register an impression if it appears within an AI Overview, even if the user never scrolls far enough to see it.

There is also a difference when content is hidden behind a “Show More” option. Links that only become visible after the user expands the AI Overview are not counted until that action takes place, meaning some forms of exposure could actually be understated.

The position metric presents another challenge. Rather than showing where an individual website link appears within an AI Overview, Search Console assigns the link the position of the AI Overview itself as a search feature.

This means the reported position does not necessarily indicate the prominence of the individual link that an SEO would normally want to measure.

Mueller Acknowledges the Difficulty

Mueller agreed with the concerns raised about the current reporting system.

He explained that Google has tried to document how impressions and other Search Console metrics work, but acknowledged that measuring position within modern search features is particularly difficult.

Google currently treats AI search features as a single block for position reporting rather than breaking down the placement of individual links within the feature.

The issue reflects a broader challenge for Google as search results become increasingly interactive and less dependent on a simple ranked list.

The End of the “Ten Blue Links”

Traditional SEO reporting was largely built around the idea of ten organic results appearing in a predictable order.

Modern search is much more complicated. Search pages can contain AI-generated answers, featured content, images, shopping results, local information and other interactive elements, making a simple position number less meaningful.

Mueller acknowledged that the old “position one to 10” model is difficult to apply to today’s search results and invited SEOs to suggest better ways of measuring visibility.

The problem is particularly relevant to AI search, where a website could be one of several sources used to generate an answer without having a conventional ranking position that accurately reflects its exposure.

What Does This Mean for SEOs?

The current reporting limitations mean that Search Console’s AI data should be treated carefully.

An AI Overview impression does not necessarily mean that a user saw or interacted with a website’s link. At the same time, content hidden behind an expansion can receive exposure that is not immediately reflected in the reported figures.

The position metric should also not be interpreted in the same way as a traditional organic ranking, as it relates to the AI feature rather than the individual source link.

For SEOs and website owners, this means AI visibility cannot yet be understood through a single Search Console metric.

Google’s AI Reporting Still Has Limitations

Mueller’s comments effectively confirm that Google is still working out how best to measure visibility in AI-powered search.

Search Console remains useful for identifying impressions and broader trends, but its current reporting does not fully explain how prominently individual websites appear inside AI-generated results.

As search continues to evolve, Google may need to develop new ways of measuring visibility that move beyond the traditional ranking and impression models.

For now, SEOs should be cautious about treating AI Search Console data as a direct measure of how often users actually see or engage with their content.