Weak AI visibility with 3 of 22 criteria passing. Biggest gap: llms.txt file.
Verdict
flick.art has a technically accessible base (HTTPS enabled, robots.txt and sitemap available, canonical configured), but its AEO readiness is currently very low at an overall score of 11. Core machine-readable and extractable signals are missing: `/llms.txt` returns HTTP 404, `schema_block_count` is 0, `schema_types_found` is empty, and there is no H1 or semantic page structure. Discovery and citation pathways are also weak, with `internal_link_count` 0, `has_rss_feed` false, and no freshness markup despite sitemap `lastmod` fields. The strongest current assets are canonical URL consistency and a valid sitemap, but they are not enough to offset missing foundational AEO signals.
Scoreboard
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.
AI assistants are question-answering machines. When your content is already shaped as questions and answers, you're handing AI a pre-formatted citation. Sites that do this right get extracted -sites that don't get skipped.
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.
Want us to improve your score?
We build citation-ready content that AI engines choose as the answer.