Weak AI visibility with 5 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
sudocode.ai currently shows low Answer Engine Optimization readiness with an overall score of 28/100. Core machine-consumption signals are largely missing, including llms.txt (0), Schema.org structured data (0), schema coverage depth (0), RSS/Atom feed (0), and AI permissions/licensing signals (0). While technical foundations like canonical URL strategy (10), crawlable HTML (9), and semantic/accessibility structure (8) are comparatively strong, answer extraction signals remain weak, including direct answer paragraphs (1), fact/data density (1), and content freshness (2). The result is a site that is indexable but not yet optimized for AI retrieval, citation, and answer generation workflows.
Scoreboard
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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.
AI has a trust hierarchy for sources. At the top: proprietary data and first-hand expert analysis. At the bottom: rewritten Wikipedia articles. We've watched AI preferentially cite sites with original benchmarks -even over bigger competitors.
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.
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