Weak AI visibility with 3 of 10 criteria passing. Biggest gap: llms.txt file.
Verdict
The site has basic crawl infrastructure, but it is missing most AEO-critical signals. `https://blessingsocialdaycare.org/llms.txt` returns HTTP 404, and no dedicated FAQ URL is live (`/faq` and `/frequently-asked-questions` on `www` both return HTTP 404). Structured data is minimal (only `WebSite` JSON-LD), so AI systems get little entity, service, and Q&A context. Overall, this is a workable baseline site that needs foundational AEO implementation to become competitive in AI-driven discovery.
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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.