AI Search Visibility Playbook: Benchmarking, Targets, and Content Mapping
Benchmark AI visibility, set targets, audit AI crawlers, and map content to funnel stages.
Set up Semrush AIO project, benchmark AI visibility, and audit AI crawler access.
Summary
The playbook guides agencies through six months of AI search visibility work. It starts with benchmarking current visibility using Semrush Enterprise AIO, setting targets for Share of Voice, Source Visibility, Referral Traffic, and AI Visibility score. It then checks robots.txt for AI crawler blocks, audits the site with Site Audit for crawl issues, and reviews AI‑generated answers for inaccuracies. The guide also audits top cited pages for freshness, maps brand mentions across earned, shared, and review platforms, and aligns content to funnel stages. Regular monitoring of Visibility Overview metrics and competitor benchmarks informs iterative content improvements.
Key changes
- Semrush Enterprise AIO benchmarks AI visibility metrics: Share of Voice, Source Visibility, Referral Traffic, AI Visibility score.
- Set targets: +15‑20% Share of Voice, +15‑20% Source Visibility, +50‑60% Referral Traffic, +3‑5 AI Visibility points.
- Verify robots.txt for AI crawler blocks and remove any disallow rules.
- Audit site with Site Audit for crawl issues, broken links, redirect chains, and orphan pages.
- Identify inaccuracies in AI‑generated answers and document correct information.
- Audit top cited pages for freshness and relevance.
- Audit brand mentions across web (earned, shared, reviews) to gauge third‑party validation.
- Map funnel stages to content types and set up internal linking for better AI extraction.