Weak AI visibility with 8 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
interfere.com has a usable technical base for AEO, but it is currently underprepared for AI discovery and citation at scale. The site gets credit for HTTPS delivery, a self-referencing canonical (`https://interfere.com`), accessible text-heavy HTML, and baseline JSON-LD (`organization`, `webpage`, `website`). The biggest blockers are missing machine-discovery and policy files (`/llms.txt`, `/robots.txt`, `/sitemap.xml`, RSS feed, `/ai.txt` all absent or 404), plus no FAQ hub, no question-answer formatting, and minimal freshness/attribution signals. With core discoverability files and answer-structured content in place, readiness can improve quickly from the current constrained state.
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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.
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.
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.
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.
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We build citation-ready content that AI engines choose as the answer.