Weak AI visibility with 7 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
inletai.com has a workable technical foundation for AI extraction, but low overall AEO readiness at 34/100. The site performs well on core HTML quality signals, including Clean Crawlable HTML (10/10), Semantic HTML and accessibility (9/10), and Q&A-friendly content format (8/10). However, multiple foundational discovery and trust layers are missing, including llms.txt (0), Schema.org structured data (0), sitemap completeness (0), canonical URL strategy (0), and RSS/Atom feed (0). As a result, AI systems can parse parts of the content but lack the metadata and crawl guidance needed to reliably prioritize and cite the brand.
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.
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.
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.