AI Visibility* · Snapshot Report · H2 2026

Only 15.2% of categories have a clear AI answer-engine leader.

The rest is still open. This report is the market data and the metric glossary behind an AI Visibility* audit — what buyers are doing when they ask ChatGPT, Gemini, Perplexity and Google AI who to use, and the nine numbers that decide whether a brand is in that answer.

51%
Start research in AI, not Google
69%
Chose a different vendor on AI guidance
92.8%
Of AI answers end with no click-out
In this report
  1. 01 Why now — the window that makes this urgent
  2. 02 The market case for measuring this at all
  3. 03 The metric glossary — every number, in plain English
  4. 04 The AI Visibility* Snapshot — what it contains, and how to read it
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Across 1,094 US categories tracked in ChatGPT from January to June 2026, most have no established winner. Every model update, every new citation, every category a competitor claims first narrows that window a little more.

15.2%

Of categories have a clear brand owner in ChatGPT

31.2%

Have a leader, but only at a narrow margin

53.7%

Are still completely unsettled — no owner at all

The metric glossary

Nine numbers. One question each.

The report walks through every metric in an AI Visibility* Snapshot, in plain English. A preview of the first three — read in this order.

Visibility

Share of AI conversations in which a brand is named at all — the ceiling on everything else. If this is zero, nothing else on a report can be non-zero.

Win Rate

How often a brand is the first pick once named. Separates a reach problem from a credibility problem.

Average Rank

Position in the shortlist when a brand does appear. Third place in a five-name answer is close to invisible.