Weak AI visibility with 4 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
eatchoppy.com has a solid technical base in a few areas, including HTTPS, a valid sitemap (HTTP 200), and a correct self-referencing canonical URL, but overall AEO readiness is low at 16/100. Core machine-readable signals are missing: `/llms.txt` returns 404, no JSON-LD schema is present (`schema_block_count: 0`), and the homepage lacks foundational extraction structure such as an H1 (`h1_count: 0`), question headings (`question_headings_count: 0`), and semantic landmarks (`semantic_elements_found: []`). Discovery and entity trust are also weak, with zero internal links (`internal_link_count: 0`), no Organization/Person schema, and no visible NAP/social reinforcement. The site can improve quickly by implementing structured data, AI crawl guidance, semantic HTML, and answer-first content patterns.
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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.
AI crawlers follow internal links to discover and contextualize content. A page with zero inbound links is a page AI will never find. Hub pages linking to 20+ related articles signal topical authority that both engines reward.
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