Weak AI visibility with 5 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
ambral.com has a technically crawlable base but is not AEO-ready in its current state, reflected by the overall score of 23. Core machine-readable layers are missing: `/llms.txt` returns 404, JSON-LD schema is absent (`schema_block_count: 0`, `schema_types_found: []`), and no AI permissions file (`has_ai_txt: false`) is present. The site does show strengths in extractable facts (`fact_data_point_count: 80`) and canonical hygiene (`has_canonical: true`), but weak content structure signals (no FAQ page, no lists/tables, no definition patterns) limit citation potential in AI answers.
Scoreboard
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.
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.
Sitemaps tell crawlers what exists. RSS feeds tell them what changed. If you don't have one, your new content waits days -or weeks -to be discovered.
Want us to improve your score?
We build citation-ready content that AI engines choose as the answer.