Weak AI visibility with 6 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
flintk12.com has low AEO readiness with an overall score of 22/100, driven by foundational discoverability gaps rather than content volume. Core machine-readable signals are missing: llms.txt (0), Schema.org structured data (0), schema depth (0), author schema (0), and AI permissions/licensing signals (0). The site does show positive baseline SEO signals, including a strong canonical strategy (10), strong fact density (8 with 174 quantitative data points), and a good sitemap footprint (7 with 314 URLs). The fastest path to materially higher AI visibility is to add structured data, AI crawler guidance, and extractable answer formatting across key pages.
Scoreboard
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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.
Your sitemap says 500 pages exist. Our crawl finds 700. Those 200 missing URLs? AI crawlers will never know they exist.
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