Is Docker AI-ready?
Yes, mostly.
Docker scores 83/100 for AI search readiness. AI crawlers can reach and read it, with a few gaps that are worth fixing.
Can AI crawlers get in?
What docker.com/robots.txt says to each crawler.
- GPTBotOpenAIAllowed
- PerplexityBotPerplexityAllowed
- ClaudeBotAnthropicAllowed
- Google-ExtendedGoogleAllowed
Key signals
What an answer engine finds on the homepage.
llms.txt
Not found
llms-full.txt
Not found
Sitemap
400 URLs
Schema.org JSON-LD
Corporation, ImageObject, WebSite +3
Text in initial HTML
637 words
Response time
56 ms
Biggest wins
What Docker could fix first
- 1
llms.txt is present and valid
Bot access+5 pts possibleGenerate an llms.txt below and upload it to your site root.
- 2
Answer-ready formats
Citation readiness+4 pts possibleAdd an FAQ section (with FAQPage schema) and question-style headings that mirror real queries.
- 3
Content density
Content extractability+3 pts possibleTrim inline scripts, styles and markup bloat so text makes up a larger share of the page.
- 4
llms-full.txt is available
Bot access+2 pts possiblePublish the generated llms-full.txt alongside llms.txt.
- 5
Authorship and freshness
Citation readiness+2 pts possibleShow an author and published/updated dates (in markup and JSON-LD).
Every check
The full breakdown
Snapshot of the homepage measured on 28 October 2026 with the same live crawl as the free LLMready audit. A high score means AI engines can reach, read and understand a site. It doesn't guarantee citations — those also depend on authority, relevance and the question being asked. Sites change — run a fresh audit for today's result.
Developer tools ranking
Full benchmarkMedian 82/100 across 12 measured developer tools sites (all sites: 77).
Similar scores elsewhere
Sites in other industries that landed close to 83.
How does your site compare to Docker?
Get the same breakdown for your site — crawler access, extractability, metadata and citation readiness — plus a generated llms.txt. B is the bar to beat.