Weak AI visibility with 7 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
novel.care has a technically accessible foundation for AI discovery (HTTPS enabled, valid sitemap with 41 URLs, and a correct self-referencing canonical URL), but it is not AEO-ready at the semantic layer. Core machine-readable assets are missing: `/llms.txt` returns 404, JSON-LD schema is absent on the homepage (`schema_block_count: 0`), and no RSS/Atom feed is available. Content quality signals exist (142 quantitative data points and substantial text), yet extractability is weak due to zero internal links, no question-led heading structure, and limited semantic markup (`main`, `article`, `time`, and `footer` missing). Overall, the site can be crawled, but AI engines currently get insufficient structured context to confidently interpret and reuse content.
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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.
Same content, three URLs, zero canonical tags. Congratulations -you just split your authority three ways and gave AI crawlers a headache.
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