Weak AI visibility with 3 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
feanixbio.com currently has low AEO readiness with an overall score of 16/100, driven by 12 out of 22 criteria scoring 0. Core machine-access signals are largely absent, including missing llms.txt (404), sitemap.xml (404), RSS/Atom, AI permissions files, and content freshness metadata. On-page extractability is also weak: no H1, no question-format headings, no direct answer paragraphs, and no list/table structures for answer engines to parse. The strongest areas are partial schema/canonical/HTML basics, but these are not enough to offset major discoverability and trust gaps for AI systems.
Scoreboard
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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.
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.
Your homepage has perfect JSON-LD. Your other 200 pages? Zero. Here's how we measure the gap -and why AI engines judge your whole domain by it.
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We build citation-ready content that AI engines choose as the answer.