Research Report
What it covers
A multi-engine benchmark of how six AI search engines answer buyer-intent questions about enterprise bot management. Covers 240,000 AI engine responses drawn from 10,000 queries across ChatGPT, Perplexity, Gemini, Microsoft Copilot, Google AI Overview and Google AI Mode in four markets, together with 3,906,000 cited sources classified by source type and 84 distinct product entries. Reports vendor share of voice, first-mention position, cross-engine cited-source overlap measured by Jaccard similarity, market-by-market variance, and the share of cited pages that sit on vendors' own sites.
Why essential
The six engines converge on the same four-vendor core while drawing on largely separate evidence bases: cited-domain overlap averages a Jaccard coefficient of 0.17, so a visibility programme measured on one engine does not generalise to another. The report quantifies that gap, separates mention volume from ordinal position, and finds 47.3% of cited pages on vendors' own sites with only 2.0% dead.
