Weak AI visibility with 6 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
syntheticfi.com is early-stage for AEO readiness, with an overall score of 25/100 and multiple foundational gaps that prevent reliable AI extraction and attribution. Critical machine-consumable signals are missing, including llms.txt (0/10), structured data/schema coverage (0/10 each), AI permissions/licensing (0/10), and author expertise schema (0/10). While canonical strategy is strong (10/10) and fact density is high (279 quantitative points; 8/10), the site still underperforms on answer formatting, semantic structure, freshness, and internal linking (mostly 0-2/10 range). The fastest path to visibility gains is to add crawl guidance and schema, then reformat core content into explicit Q&A and definition patterns with attributable sources.
Scoreboard
Fix It With AI
Copy-paste these prompts into Claude Code or Cursor to fix each criterion.
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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.
Same content, three URLs, zero canonical tags. Congratulations -you just split your authority three ways and gave AI crawlers a headache.
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