Brand profile
N26
How often AI names N26 and where the brand ranks in web search. Aggregated across 2 Achtung.app industry reports.
n26.com DACH dataset (DE/AT/CH), as of 1. Aug 2026
N26 was named in 11 analysed AI answers across 2 industry reports. Its strongest placement is the Finance & Fintech report: rank 16 of 284 by AI prominence. Gemini names the brand most often, on average at position 5,8 of the answer. The same queries returned no classic web-search result for the brand.
At a glance
Verticals N26 appears in
Sorted by rank. Click to open the full vertical report.
| Vertical | Rank | AI citations | |
|---|---|---|---|
| Finance & Fintech | #16/284 | 9 | View report |
| WM 2026 Sponsoren-Check | #115/493 | 2 | View report |
AI prominence over time
How the AI prominence of N26 has moved across the collections so far. One point per report collection.
N26 in Finance & Fintech
| Collection | N26 | Top 10 in the report |
|---|---|---|
| Apr 26 | 51.3 | 64.8 |
| Jun 26 | 59.1 | 68.3 |
| Jul 26 | 64.8 | 65.6 |
| Aug 26 | 59.2 | 66.9 |
AI prominence is a 0 to 100 score combining citation frequency, position and model coverage. The dashed line is the average of the ten strongest brands in the same collection, which shows whether a movement came from the brand or from the whole market. The series only covers verticals with at least two collections. Definitions in the glossary.
Competitive context
The brands placed directly above and below N26 in the Finance & Fintech report, by AI prominence.
| Rank | Brand | AI prominence |
|---|---|---|
| #14 | Getmoss | 59,9 |
| #15 | Finom | 59,4 |
| #16 | N26 The Mobile Bank | 59,2 |
| #17 | Vivid Germany | 58,7 |
| #18 | HUK-COBURG | 58,4 |
Which AI models name N26?
Distribution of citations across the AI models we query. Longer bars mean the model named N26 more often in its answers.
n = 11 citations total
-
Gemini4 (36%)
-
Perplexity4 (36%)
-
Claude3 (27%)
Sentiment of citations
When AI answers mention N26, in what tone do they do it?
n = 11 rated citations
- positive: 11
Tones too infrequent to be a reliable signal are not shown.
Sample queries where N26 was named
A cross-section of the automated queries where AI models included N26 in their answer.
| Query | Model |
|---|---|
| Wie bezahle ich als Fan bei der WM 2026 in den USA am besten? | Gemini |
Discoverability for AI platforms
Weekly audit of the technical prerequisites that search-grounded AI platforms (live web search per query) need to find and render this site.
Last checked: 2. Aug 2026
Two crawler categories: AI live-retrieval crawlers fetch pages on demand to answer questions in ChatGPT, Perplexity or Claude; training crawlers feed model pre-training. Only the live-retrieval layer is graded here; the training tier is an editorial choice.
Critical: blocks AI visibility
- AI live-retrieval crawlers allowed in robots.txt
- No silent edge block on AI live-retrieval crawlers
- HTTPS reachable on the homepage
- Sitemap reachable
- Homepage renders content without JavaScript
Important: improves capture
- Canonical URL declared
- Open Graph title and image set
- HSTS header advertised
- No SPA, or a SPA with a meaningful noscript fallback
Agent readiness: makes facts machine-readable
This check does not count towards AI visibility. It answers a different question: could software verify a fact about this brand without reading prose? On current evidence, structured markup does not make a brand cited more often in AI answers.
- Organization or WebSite JSON-LD on the homepage
Training-crawler status (informational, not graded): 0 / 5 blockiert.
Diagnostics
- JSON-LD types
-
Organization, WebSite, FAQPage
SEO hygiene; per Google not a direct lever for AI citations.
- Sitemap
- 7.261 URLs
- llms.txt (informational)
-
present
Per Google, no effect on AI visibility; tracked here for information only.
- Encryption
- HTTPS ✓ · HSTS ✓
Track your own brand over time?
Achtung.app monitors how often a brand is named in AI answers and classic web search, which verticals it appears in, and how that changes over time.
Check your brandAll figures come from Achtung.app's published vertical reports. Achtung.app runs standardized, brand-free queries against AI models and classic web search, extracts named brands, and consolidates them on their canonical domain. Details in the methodology document.