Moderate AI visibility with 7 of 10 criteria passing. Biggest gap: llms.txt file.
Verdict
WellSky has strong technical crawl foundations: HTTPS is live, server-rendered HTML is accessible, `robots.txt` is comprehensive for AI crawlers, and multiple JSON-LD schema graphs are present. The biggest AEO gaps are the missing `llms.txt` (`https://wellsky.com/llms.txt` returned `HTTP/2 404`) and lack of a dedicated, machine-readable FAQ hub (`/frequently-asked-questions` returns `404`, while `/faq` redirects to a single article). Entity and internal-link signals are solid, but Q&A-specific schema and expert-data packaging are inconsistent. Prioritizing `llms.txt`, FAQPage markup, and a centralized FAQ architecture would materially raise AI retrieval readiness.
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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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