How to Run a DIY AI Visibility Audit
You can audit your own AI visibility in about an hour. Work these six checks in order — crawler access, rendering, structured data, citability, mentions, and a real prompt test — and you'll know exactly why AI does or doesn't surface you, and what to fix first.
On this page▾
A DIY AI visibility audit is six checks, run in order, that tell you whether AI can reach you, read you, trust you, and quote you — and whether it actually names you. Do them top to bottom: the early checks are foundational, so there's no point polishing citability if crawlers can't reach the page. Here's each step and how to do it by hand. For the full framework behind it, see the 25 AI visibility signals.
1Crawler Access
Open your robots.txt and confirm GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, PerplexityBot, and Google-Extended aren't blocked. A blanket Disallow is the most common silent killer.
Deeper: robots.txt for AI crawlers.
2Rendering (SSR)
View page source (not the inspector) on your key pages. If your H1, body text, and schema aren't in the raw HTML, AI crawlers can't see them.
Deeper: AI crawlers & JavaScript.
3Structured Data
Run your pages through a schema validator. Look for Organization, WebSite, Product/SoftwareApplication, FAQPage, and Article — and confirm it's in the server HTML.
Deeper: JSON-LD schema types.
4Citability
Read your top pages as an extractor would. Is there a direct, self-contained answer in the first 40–60 words of each section? Question-style headings? Specific data?
Deeper: Write content AI will quote.
5Brand Mentions
Search your brand across Reddit, YouTube, and the web. Little to no third-party presence is the biggest gap for most brands — and the strongest AI-citation lever.
Deeper: Brand mentions vs backlinks.
6Real Prompt Test
Ask your buyer prompts (not your brand name) across ChatGPT, Perplexity, and Gemini. Are you named? Who's named instead? Repeat over time — answers vary.
Deeper: How to measure AI visibility.
Skip the manual work
Run a free scan to do all six checks at once and get an AI Exposure Score with a prioritized fix list.
Scoring your audit
Weight the early steps most: crawler access and rendering are pass/fail foundations — fail either and your effective visibility is near zero regardless of the rest. Then structured data and citability determine whether you get quoted, and mentions plus the prompt test tell you whether it's translating into real AI recommendations. Fix in that order, then re-run the audit to confirm each fix landed.
Frequently Asked Questions
How do I audit my AI visibility?
Check six things in order: (1) AI crawler access in robots.txt, (2) whether content is in the server-rendered HTML, (3) structured data, (4) content citability, (5) off-site brand mentions, and (6) whether AI actually names you for real buyer prompts. Each is checkable manually; together they tell you why AI does or doesn't surface you.
Can I audit AI visibility for free?
Yes. Every step can be done manually or with free tools: view source for rendering, read robots.txt for crawler access, a schema validator for structured data, and manual prompt tests for whether AI names you. A free AI visibility scan bundles these into one score if you'd rather not do them one at a time.
How long does a DIY AI visibility audit take?
Roughly an hour for a focused site: a few minutes each for crawler access, rendering, and schema, and longer for citability review and prompt testing. Auditing brand mentions and running prompts across multiple platforms is the most time-consuming part, which is where automation helps most.
What's the most common issue a DIY audit finds?
Two dominate: blocked or missing AI crawler access in robots.txt, and content that only renders client-side so crawlers see an empty page. Both are foundational — if AI can't reach or read you, nothing else matters — and both are quick to fix once you spot them.
When should I use a tool instead of a manual audit?
Use a tool when you want a repeatable score, are tracking many pages, or need to monitor prompts across platforms over time. A manual audit is great for a one-off understanding; automation is better for ongoing measurement and for the labor-intensive parts like multi-platform prompt tracking.