Weak AI visibility with 8 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
Byteport.io currently has low AI search readiness, with an overall AEO score of 29/100 and multiple zero-score fundamentals that block extractability. Core machine-consumable signals are missing, including llms.txt (404), JSON-LD structured data (0 blocks), FAQ content/schema, RSS/Atom, definition patterns, and list/table formatting. At the same time, the site has strong building blocks such as canonical strategy (10/10), entity authority (8/10), and fact density (8/10 with 291 quantitative data points). Prioritizing technical discoverability and answer-format content could materially increase citation and answer-surface visibility for AI systems.
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.
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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