what does a proper ai search audit cover?
A proper AI search audit covers six layers: bot accessibility, technical schema, content extractability, citation baseline, competitor benchmarking, and remediation roadmap. The audit verifies that OAI-SearchBot, PerplexityBot, ClaudeBot, and Bingbot can fetch your pages, validates schema across templates, scores answer spans on top URLs, runs a 100-prompt citation panel, compares against three to five competitors, and ships a prioritized 90-day plan. OnyxRank's audit also includes Reddit and Wikipedia exposure analysis and a llms.txt readiness check.
Evidence and detail
- Bot accessibility check covers robots.txt, CDN rules, and server-level firewall settings for all major AI crawlers and retrievers.
- Citation baseline runs 100 prompts across five engines for a margin of error under 4 percent.
- Competitor benchmark compares share of voice across three to five direct competitors per engine over a fixed query panel.
- Audits without a concrete 90-day remediation plan are diagnostics, not strategy; demand both deliverables in every engagement.
Related reading
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