Multi-Agent GEO Audit for AI Search Readiness
Parallel sub-agents audit crawler access, citability, entity footprint, and schema, then score readiness per AI engine with a weekly plan.
Before & after
Same prompt, same agent — the only difference is the skill.
That's a good question. Your website visibility in AI search depends on things like structured data, whether your content is cited by AI models, how Perplexity and ChatGPT index you. It's a relatively new area, so there aren't a lot of established benchmarks yet. I'd suggest checking if your site appears in ChatGPT web search results, making sure you have proper metadata and schema markup, and looking at your traffic sources. It's hard to measure precisely right now, but there are some signals to look at.
GEO AUDIT REPORT - AI Search Visibility SITE AUDITED: calendly.com DATE: 2026-07-31 EXECUTIVE SUMMARY: Overall citability score: 72/100. Strong on Wikipedia and structured data; weak on Perplexity discoverability. Estimated monthly AI search traffic potential: 1.2K-1.8K visits (currently unmeasured). PLATFORM-BY-PLATFORM SCORES: CHATGPT (85/100) ✓ Appears in web search results ✓ Cited in knowledge synthesis tasks ✗ No Wikipedia article (missed citability boost) ✓ Clear entity extraction via schema.org PERPLEXITY (68/100) ✓ Content indexed ✗ Low frequency of citations vs. competitors (Zoom, HubSpot) ✗ Missing rich snippets for key comparison queries GEMINI (79/100) ✓ Schema markup detected ✓ Knowledge panel eligible ✗ Competitor reviews rank higher for "scheduling tools" BING (82/100) ✓ Sitelinks appearing ✓ Knowledge card presence ✗ Enterprise content gap (no "security for enterprise" guide) KEY FINDINGS: 1. Wikipedia gap: No Wikipedia article. This is costing 12-15 points across all platforms. (Estimated blocker: 400+ monthly AI citations) 2. Structured data: Schema exists but missing BreadcrumbList. Add it. 3. Content gaps: Blog has zero posts on "scheduling compliance" or "analytics for distributed teams." Competitors rank here in AI search. WEEKLY ACTION PLAN (Priority Order): Week 1: Add schema.org BreadcrumbList to all product pages (1 day). Audit competitor content gaps; draft one blog post on "Scheduling Security Compliance" (2 days). Week 2: Submit Wikipedia article candidate (requires external Wikipedia expert; 3-4 days). Week 3-4: Build enterprise feature deep-dive guides for AI search indexing. Expected impact after 90 days: +180-240 monthly AI search visits.
About this skill
Your competitors keep showing up in ChatGPT and Perplexity answers, and you don't. Most GEO audits hand you made-up visibility scores and a checklist that starts with llms.txt. Meanwhile the real problem is often a robots.txt line blocking the wrong bot or a firewall rule. This skill runs a real audit: parallel checks with evidence behind each finding, a separate score for each engine, and fixes ordered by how much they move the needle.
What it does
- Splits the audit across parallel sub-agents for crawler access, citability, entity footprint, structured data, and competitor gaps. Where sub-agents aren't available, it runs the same checks one after another.
- Separates training bots from search bots (GPTBot vs OAI-SearchBot, Google-Extended vs Googlebot), so you don't block the bot that controls whether you show up in AI search
- Catches problems robots.txt doesn't show: firewall challenge pages, content that only appears after JavaScript runs, and noindex or nosnippet headers
- Tests key pages on whether an engine can lift a passage and quote it as-is, then shows the rewrite
- Scores readiness separately for ChatGPT search, Perplexity, Google AI Overviews/Gemini, and Bing Copilot. A score is capped when that engine can't reach the site.
- Labels every finding Measured, Observed, or Inferred, so you can stand behind the report in front of a client
What you get
A report with five dimension scores and readiness scores for each engine. Every finding comes with the exact URL and quote that backs it up. You also get a week-by-week action plan with owner, effort, and how to check that each fix worked.
Best for
SEO and content agencies selling AI-search work, in-house growth and SEO leads at SaaS and B2B companies, and founders who want to know why AI answers recommend a competitor.
SKILL.md preview
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name: multi-agent-geo-audit
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