Weak AI visibility with 8 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
wattsonhealth.com has a low AEO readiness score of 31/100, with major machine-consumability gaps despite solid HTML fundamentals. Core discovery artifacts are missing, including llms.txt (0), structured data/schema coverage (0 and 0), canonical URLs (0), RSS/Atom feed (0), and AI permissions signals (0), which limits how reliably AI systems can interpret and cite the site. The technical base is usable, with strong crawlable HTML (9), internal linking (8), and semantic structure/accessibility (8), but content is not yet packaged in answer-first formats at scale (Q&A format 2, direct answer paragraphs 3, FAQ completeness 2). In short, the site is structurally sound but not yet optimized for AI retrieval, grounding, and trusted entity understanding.
Scoreboard
Fix It With AI
Copy-paste these prompts into Claude Code or Cursor to fix each criterion.
These prompts are designed for projects where you have direct access to the codebase (Next.js, React, static HTML, WordPress, etc.). If your site runs on a hosted platform like Webflow, switch to the "Webflow" tab for platform-specific instructions. Using a different hosted platform? Contact us for custom guidance.
Top Opportunities
Improve Your Score
Guides for the criteria with the most room for improvement
Tidio has a 251-line llms.txt. Crisp has zero. The score gap: +29 points. This single file tells AI assistants exactly what your site does -and without it, they're guessing.
Tidio runs 4 JSON-LD schema types. Crisp runs zero. That's not a coincidence -it's the difference between a 63 and a 34. Structured data is the machine-readable layer AI trusts most.
Sitemaps tell crawlers what exists. RSS feeds tell them what changed. If you don't have one, your new content waits days -or weeks -to be discovered.
AI engines are citation machines -they need specific facts to quote. A page full of general advice with zero data points gives them nothing to work with.
Want us to improve your score?
We build citation-ready content that AI engines choose as the answer.