Moderate AI visibility with 12 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
fastshot.ai shows a solid technical foundation for AI discoverability, with working crawl access (`robots.txt` 200), strong schema usage (4 JSON-LD blocks across Organization/FAQPage/WebSite), and a complete sitemap (148 URLs with `lastmod`). The site also has strong internal discoverability signals, including 177 internal links and live FAQ coverage on both the homepage and a dedicated FAQ page. However, core AEO control files and citation aids are missing, including `llms.txt`, `ai.txt`, canonical tags, and any RSS/Atom feed. Content is indexable and data-rich, but weak direct-answer formatting, low definition density, and missing freshness/author schema signals are limiting citation likelihood in AI answers.
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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.
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.
AI engines are citation machines -they need specific facts to quote. A page full of general advice with zero data points gives them nothing to work with.
You published a great blog post in January. It's now February and nothing else has appeared. AI engines notice -and they're crawling less often because of it.
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