Is N26 AI-ready?
Yes, mostly.
N26 scores 85/100 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 n26.com/robots.txt says to each crawler.
- GPTBotOpenAIAllowed
- PerplexityBotPerplexityAllowed
- ClaudeBotAnthropicAllowed
- Google-ExtendedGoogleAllowed
Key signals
What an answer engine finds on the homepage.
llms.txt
Valid · 0 links
llms-full.txt
Not found
Sitemap
3,105 URLs
Schema.org JSON-LD
Organization, WebSite, FAQPage +2
Text in initial HTML
1,722 words
Response time
170 ms
Biggest wins
What N26 could fix first
- 1
Authorship and freshness
Citation readiness+4 pts possibleShow an author and published/updated dates (in markup and JSON-LD).
- 2
llms-full.txt is available
Bot access+2 pts possiblePublish the generated llms-full.txt alongside llms.txt.
- 3
Content density
Content extractability+2 pts possibleTrim inline scripts, styles and markup bloat so text makes up a larger share of the page.
- 4
Chunkable structure
Content extractability+2 pts possibleBreak long blocks into short paragraphs, lists and tables that models can lift as-is.
- 5
Clear entity identity
Citation readiness+2 pts possibleAdd Organization JSON-LD with name, logo and sameAs links to your official profiles.
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.
Fintech ranking
Full benchmarkMedian 77/100 across 10 measured fintech sites (all sites: 77).
Similar scores elsewhere
Sites in other industries that landed close to 85.
How does your site compare to N26?
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.