AI Visibility
3 articles about "AI Visibility".
Being Cited by an AI Overview Does Not Mean It Said What You Said: How a 98,020-Claim Study Measured It
A May 2026 preprint split Google AI Overviews into 98,020 claims and checked each against the pages the Overview itself cited: 11.0% were not supported, of which 7.0% were not mentioned on the cited page and 2.7% were contradicted by it. This post unpacks the method and its limits, and separates a common mistake: the widely quoted 60% trigger rate comes from a different study with a different denominator. It ends with five things site owners can do.
Choosing an AI Visibility Tool: Brand-Mention Tracking vs Website Technical Scanning (AVS)
Products sold as "AI visibility tools" fall into at least two categories: tracking whether AI answers mention your brand, and scanning whether your website can be read by AI at all. They measure different things and their scores cannot be compared. This post gives a comparison table, three situations and which to choose, what Google and OpenAI's own documentation actually says, and where two things both called an AI Visibility Score turn out not to be the same thing.
Google Now Pays for AI Citations, and the Search Console API Cannot Measure Them
Google confirmed the AI contribution pilot: content that significantly contributes to answers in AI Overviews, AI Mode and Gemini gets paid, through Search Console. The formula is undisclosed, and when I tested our own property the Search Console API returned no AI surface data at all, even though the interface gained an AI report in August. Here is the test, how to rerun it, and what to measure instead.