Weak AI visibility with 9 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
Numeral.com has a workable technical base for AI visibility, but current AEO readiness is limited at 41/100. The site performs well in crawlability and content signals (Clean, Crawlable HTML 9/10; Original Data & Expert Analysis 8/10; Internal Linking 8/10; Fact/Data Density 8/10), yet key AI-discovery assets are missing. Critical gaps include llms.txt (0/10), FAQ coverage (0/10), RSS/Atom feed (0/10), definition patterns (0/10), and AI permissions/licensing signals (0/10). Improving these low-scoring areas would materially increase answer-engine eligibility without rebuilding the full site.
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.
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.
Same content, three URLs, zero canonical tags. Congratulations -you just split your authority three ways and gave AI crawlers a headache.
Want us to improve your score?
We build citation-ready content that AI engines choose as the answer.