Weak AI visibility with 6 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
Flairhealth.com currently shows low AEO readiness with an overall score of 26/100, driven by critical discoverability gaps rather than crawlability issues. The site is technically clean in key areas (Canonical URL Strategy 10/10, Clean Crawlable HTML 9/10, Fact/Data Density 8/10), but core AI-consumption signals are missing, including llms.txt (0/10), schema coverage depth (0/10), FAQ coverage (0/10), and AI permissions/licensing signals (0/10). With only 3 sitemap URLs, no freshness metadata, and weak answer-format content structure, AI systems have limited structured context to confidently extract and reuse content. The strongest upside is that foundational HTML and HTTPS hygiene are already in place, so high-impact AEO gains are achievable quickly with structured data, content formatting, and crawler directives.
Scoreboard
Fix It With AI
Copy-paste these prompts into Claude Code or Cursor to fix each criterion.
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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.
Our site runs 87 FAQ items across 9 categories with FAQPage schema on every one. That's not excessive -it's how we hit 88/100. Each Q&A pair is a citation opportunity AI can extract in seconds.
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.
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