Weak AI visibility with 3 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
growparabolic.com is currently underprepared for AI search and answer engines, with an overall AEO score of 19/100. The strongest technical signal is crawlability (Clean, Crawlable HTML scored 7) and moderate FAQ/sitemap foundations (both scored 6), but core machine-understanding layers are absent: llms.txt, JSON-LD schema, canonical tags, RSS/Atom, freshness markup, and AI permissions all scored 0. With 10 of 22 criteria marked MISSING and no schema blocks detected, AI systems have limited structured context to confidently extract, attribute, and rank the site’s expertise.
Scoreboard
Fix It With AI
Copy-paste these prompts into Claude Code or Cursor to fix each criterion.
These prompts are designed for projects where you have direct access to the codebase (Next.js, React, static HTML, WordPress, etc.). If your site runs on a hosted platform like Webflow, switch to the "Webflow" tab for platform-specific instructions. Using a different hosted platform? Contact us for custom guidance.
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.
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.