Weak AI visibility with 6 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
osium.ai currently has low AEO readiness with an overall score of 20/100, driven by major machine-readability gaps rather than lack of content volume. The site scores 0 on critical foundations including llms.txt, structured data, FAQ coverage, direct-answer formatting, and schema depth, while also showing 0 internal links and no H1 on the homepage. There are meaningful strengths to build on, including strong canonical implementation (10/10), strong factual density (8/10 with 201 data points), and a valid sitemap with 33 URLs. In short, authority signals exist, but AI discoverability and extractability infrastructure is largely missing.
Scoreboard
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Top Opportunities
Improve Your Score
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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We build citation-ready content that AI engines choose as the answer.