Weak AI visibility with 0 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
baseframe.co currently has very low AEO readiness (overall score: 6) because foundational machine-readable signals are missing across discovery, structure, and trust layers. The crawl found no JSON-LD (`schema_block_count: 0`, `schema_types_found: []`), no `llms.txt`, no `robots.txt`, no canonical tag, and no valid sitemap URL entries (`sitemap_url_count: 0`). What works today is limited to basic metadata and availability (`has_title: true`, `has_meta_description: true`, FAQ endpoint returns `faq_page_status: 200`, sitemap endpoint returns `sitemap_status: 200`), but those endpoints are not delivering usable AEO signals. The site also runs on HTTP only (`has_https: false`), which materially weakens crawler trust and indexability.
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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 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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