Weak AI visibility with 4 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
fastgen.com currently has low AEO readiness with an overall score of 20/100, driven by foundational machine-readability gaps across the scorecard. Core discoverability and interpretation signals are missing, including llms.txt (0), robots.txt for AI crawlers (2), structured data/schema coverage (0), canonical URL strategy (0), and FAQ/direct-answer formatting (both 0). While the site shows some baseline strength in crawlable infrastructure (Clean HTML 6, Sitemap Completeness 6, 44 sitemap URLs), these are not paired with the structured, answer-first content patterns AI systems prioritize. The result is a site that can be crawled in parts but is poorly prepared to be selected, trusted, and cited by AI assistants.
Scoreboard
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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.
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.
Your homepage has perfect JSON-LD. Your other 200 pages? Zero. Here's how we measure the gap -and why AI engines judge your whole domain by it.
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