Weak AI visibility with 5 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
f2.ai has a crawlable HTTPS foundation and substantial indexable text, but its AEO readiness is currently low because core machine-readable signals are missing. The site lacks `llms.txt` (404), `sitemap.xml` (404), JSON-LD schema (0 blocks/types), and canonical tags, which materially limits AI discovery, entity understanding, and citation potential. What works today includes a valid `robots.txt` (200) with a sitemap reference, semantic `main/nav/header`, and fact-rich content, but structure for answer extraction is weak with 0 question headings and no direct Q&A formatting. The fastest path forward is to add foundational technical files and schema first, then reformat key pages for direct-answer retrieval.
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.
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.
No date on your page? AI engines treat it like a rumor -undated and deprioritized. Here's how we audit whether your timestamps are actually machine-readable.
Want us to improve your score?
We build citation-ready content that AI engines choose as the answer.