Weak AI visibility with 5 of 10 criteria passing. Biggest gap: llms.txt file.
Verdict
h2hadultdaycare.com has baseline crawlability and local business signals, but it is not AI-optimized yet. The site returns a 404 for `/llms.txt` and both FAQ URLs tested (`/faq` and `/frequently-asked-questions`) also return 404, which removes key answer-engine signals. Structured data exists on the homepage (`LocalBusiness`, `WebSite`), but it is limited and not present across core service pages. Overall, the site is discoverable but underprepared for LLM retrieval, citation, and answer extraction.
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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.
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.
AI assistants are question-answering machines. When your content is already shaped as questions and answers, you're handing AI a pre-formatted citation. Sites that do this right get extracted -sites that don't get skipped.
AI has a trust hierarchy for sources. At the top: proprietary data and first-hand expert analysis. At the bottom: rewritten Wikipedia articles. We've watched AI preferentially cite sites with original benchmarks -even over bigger competitors.
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We build citation-ready content that AI engines choose as the answer.