Weak AI visibility with 9 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
energent.ai currently has a low AEO readiness score of 36/100, with major discoverability gaps in machine-readable guidance and structured content. Core technical enablers are missing, including llms.txt (0), Schema.org structured data (0), Schema coverage depth (0), RSS/Atom feed (0), and AI permissions/licensing signals (0). Content quality signals are mixed: fact density is strong (8) and canonical strategy is strong (10), but direct-answer formatting (3), FAQ depth (2), freshness signals (2), and publishing velocity (2) are weak. The site has solid foundational crawl access (HTTPS, robots.txt, sitemap), but insufficient extraction-friendly structure for AI answer systems.
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.
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.
AI engines are citation machines -they need specific facts to quote. A page full of general advice with zero data points gives them nothing to work with.
Want us to improve your score?
We build citation-ready content that AI engines choose as the answer.