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Research Report

AI Search Visibility in Enterprise Compliance Automation (2026 Benchmark)

AI Search Visibility in Enterprise Compliance Automation (2026 Benchmark)

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 3,231,000 cited sources and 117 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 URLs that no longer resolve.

Why essential

Six engines converge on Vanta and Drata while citing largely separate evidence: the highest overlap between any two engines was 0.34, between two Google surfaces, so a visibility programme measured on one engine does not transfer to another. The report quantifies that gap, separates mention volume from ordinal position, and measures the 19.7% of cited sources that no longer resolve.

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