Weak AI visibility with 6 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
fluidize.ai has foundational crawlability in place (HTTPS enabled, robots.txt and sitemap both returning 200, and a strong self-referencing canonical at https://fluidize.ai/), but overall AEO readiness is low at 21 due to major machine-readability gaps. The site currently exposes no JSON-LD schema (schema_block_count: 0), no llms.txt (404), no ai.txt, and no FAQ endpoint (/faq returns 404), which limits AI engines’ ability to interpret, trust, and cite content. Content depth exists (homepage_text_length: 105832 and 84 quantitative data points), yet extraction is weak because there are no question headings, definition patterns, list/table structures, or freshness metadata like <time> and sitemap lastmod. In short, Fluidize has substantial raw content but lacks the technical packaging required for reliable AI retrieval and citation.
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.