Is trivago AI-ready?
Not really.
trivago scores 60/100 for AI search readiness. Several gaps make it hard for AI engines to read, understand and quote this site.
Can AI crawlers get in?
What trivago.com/robots.txt says to each crawler.
- GPTBotOpenAIPartial
- PerplexityBotPerplexityPartial
- ClaudeBotAnthropicPartial
- Google-ExtendedGooglePartial
Key signals
What an answer engine finds on the homepage.
llms.txt
Not found
llms-full.txt
Not found
Sitemap
0 URLs
Schema.org JSON-LD
WebSite, SearchAction, EntryPoint +1
Text in initial HTML
1,305 words
Response time
160 ms
Biggest wins
What trivago 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
Clear entity identity
Citation readiness+4 pts possibleAdd Organization JSON-LD with name, logo and sameAs links to your official profiles.
- 3
Authorship and freshness
Citation readiness+4 pts possibleShow an author and published/updated dates (in markup and JSON-LD).
- 4
Answer-ready formats
Citation readiness+4 pts possibleAdd an FAQ section (with FAQPage schema) and question-style headings that mirror real queries.
- 5
Content density
Content extractability+3 pts possibleTrim inline scripts, styles and markup bloat so text makes up a larger share of the page.
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.
Travel ranking
Full benchmarkMedian 58/100 across 6 measured travel sites (all sites: 77).
Similar scores elsewhere
Sites in other industries that landed close to 60.
How does your site compare to trivago?
Get the same breakdown for your site — crawler access, extractability, metadata and citation readiness — plus a generated llms.txt. D is the bar to beat.