Find out if AI search engines can see your content
An AI search visibility audit reveals whether your content is cited by AI platforms, which pages perform well, where gaps exist, and what competitors are doing better. This guide walks you through a complete audit process.
Why this matters now
Most businesses have no idea whether AI search engines cite their content. They track Google rankings but have never checked ChatGPT, Perplexity, or Claude. This blind spot is growing more costly as AI search usage increases. An AI visibility audit gives you the baseline data needed to optimize for this channel.
Step-by-step guide
Follow these steps to improve your AI visibility.
List your target queries
Compile 20-30 questions your target audience would ask AI assistants about your product, service, or industry. Use natural language: "What is the best X for Y?", "How do I Z?", "What are the alternatives to W?" These are your audit queries.
Test manually across AI platforms
Ask each query on ChatGPT, Perplexity, Claude, and Gemini. Record whether your brand or website is cited in the response. Note which competitors appear. This manual baseline reveals your current visibility at a glance.
Run GEO scans on your key pages
Use GEO scoring software to analyze your homepage, top product pages, and key content pages. Score each page across GEO pillars: definition clarity, content structure, authority signals, machine readability, and answerability.
Check AI crawler access
Review your robots.txt file. Verify that GPTBot (ChatGPT), PerplexityBot, ClaudeBot, and Google-Extended (Gemini) are not blocked. Check if you have an llms.txt file. Blocked crawlers mean invisible content.
Audit schema markup coverage
Check whether your key pages have JSON-LD schema markup (Article, FAQPage, Product, Organization). Use Google's Rich Results Test or Schema.org validator. Missing schema reduces AI's ability to understand your content.
Analyze content structure
Review your top pages for GEO structural requirements: clear H1-H3 headings, FAQ sections, comparison tables, explicit definitions, and answer-first paragraphs. AI extracts structured content more reliably than unstructured narrative.
Benchmark against competitors
Identify which competitors get cited for your target queries. Scan their cited pages with GEO software. Compare their scores with yours to understand what content signals are winning in your space.
Prioritize and create an action plan
Rank your findings by impact potential: pages close to earning citations (high GEO score but not yet cited), high-traffic pages with low GEO scores, and queries where competitors are cited but you are not. Address highest-impact gaps first.
Common mistakes to avoid
Only testing on one AI platform
Your audience uses multiple AI platforms. Testing only ChatGPT misses Perplexity, Claude, and Gemini. A comprehensive audit covers all major platforms to give you the full picture of your AI visibility.
Auditing once and never revisiting
AI search results are dynamic. A single audit gives you a snapshot, not a trend. Schedule quarterly audits or use automated citation tracking to monitor changes over time.
Focusing on brand queries only
Checking if AI knows your brand name is a start, but the real value is in non-branded queries: "best tool for X," "how to solve Y." These are the discovery queries where AI citations drive new traffic.
Ignoring the technical layer
Content quality matters, but so does technical accessibility. Blocked AI crawlers, missing schema, and JavaScript-only rendering can make great content invisible to AI platforms. Always include technical checks in your audit.
Frequently asked questions
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