Research Report
What it covers
A multi-engine benchmark of how six AI search engines answer buyer-intent questions about compliance automation, governance-risk-and-compliance software and integrated risk 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 3,464,000 cited sources classified by source type and 99 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
Six engines converge on Vanta and Drata while citing largely separate evidence: cited-domain overlap averages a Jaccard coefficient of 0.11 and the highest pair reaches 0.27, between two Google surfaces, so a visibility programme measured on one engine does not transfer to another. The report separates mention volume from ordinal position, shows MetricStream read earlier than Vanta in four of six engines, and finds 41.7% of cited pages on vendors' own sites with only 1.6% dead.
