How visible are you across ChatGPT, Claude, Gemini, and Perplexity?

Crawl & fetch readiness

Whether AI crawlers can actually reach, render, and read your pages: HTTPS, status codes, response speed, redirects, robots rules, and whether you're accidentally blocking AI bots.

Structured data

Whether your schema tells machines what each page is and who it concerns: Organization, Person, and Product markup, with JSON-LD that actually parses.

Content extractability

Whether your main content is clean and substantial enough to lift: real on-page text, clear titles and headings, and a sane text-to-markup ratio rather than content trapped in scripts.

Answerability & citation

Whether your content is shaped so an LLM can quote and cite it: direct answers, citable structure, llms.txt, feeds, and speakable markup.

Identity & trust

Whether machines can tell who you are and have reason to trust you: a clear entity and social footprint, privacy and terms pages, visible proof, and no reputation red flags.

Off-site mentions

Whether trusted third parties mention and cite you, recently and from varied sources. The off-site signal that decides whether AI engines treat you as credible at all.

Week 1

You start with the quick wins

The audit hands you a short, severity-ranked fix-list, not a 200-item dump. The top is usually fast, high-leverage work your team can ship in hours: crawler unblocks, missing schema, stale entity references.

Weeks 2-6

Citation surface area expands

As your team works through the deeper fixes, cleaner structure, answerable content, and stronger entity and trust signals, more of your pages become eligible to be read and cited. Re-run the audit to see the score move.

Quarter onwards

AI visibility becomes a tracked metric

Re-running on a schedule turns AI readiness into a number you watch over time, the same way you track pipeline coverage or CAC payback. The audit is the baseline; staying visible is the habit.