Weak AI visibility with 0 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
deepgrove.ai is currently not AEO-ready, with an overall score of 4 and widespread foundational gaps across discoverability, structure, and citation signals. The site does serve over HTTPS and includes a title and meta description, but core machine-readable assets are missing: `/llms.txt` returns 404, `sitemap.xml` returns 404, no JSON-LD schema is present, and canonical tags are absent. Content extractability is also extremely limited, with only 49 characters of homepage text, 0 H1 tags, 0 internal links, no FAQ page (`/faq` = 404), and no list/table structures for AI parsing. In short, baseline web presence exists, but nearly all high-value AEO infrastructure still needs to be implemented.
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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.
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.
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.
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