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Brand profile

Hrs

How often AI names Hrs and where the brand ranks in web search. From one Achtung.app industry report.

hrs.de DACH dataset (DE/AT/CH), as of 1. Oct 2026

Hrs was named in 6 analysed AI answers in the Hospitality & Travel industry report. That places the brand 26 of 243 there by AI prominence. ChatGPT names the brand most often, on average at position 4,3 of the answer. The same queries returned no classic web-search result for the brand.

At a glance

AI citations
6
Summed across reports
Avg AI position
4,67
Weighted across reports
Web-search hits
0
Brave Search, aggregated
Verticals
1
AI models: 3

Verticals Hrs appears in

Sorted by rank. Click to open the full vertical report.

Vertical Rank AI citations
Hospitality & Travel #26/243 6 View report

Competitive context

The brands placed directly above and below Hrs in the Hospitality & Travel report, by AI prominence.

Rank Brand AI prominence
#24 Trivago 52,9
#25 Lanserhof 52,7
#26 Hrs 52,5
#27 HomeToGo 52,2
#28 AIDA 51,8

Full ranking in the report →

Which AI models name Hrs?

Distribution of citations across the AI models we query. Longer bars mean the model named Hrs more often in its answers.

n = 6 citations total

  • ChatGPT
    3 (50%)
  • Perplexity
    2 (33%)
  • Gemini
    1 (17%)

Sentiment of citations

When AI answers mention Hrs, in what tone do they do it?

n = 6 rated citations

  • positive: 4
  • neutral: 2

Tones too infrequent to be a reliable signal are not shown.

Sample queries where Hrs was named

A cross-section of the automated queries where AI models included Hrs in their answer.

Query Model
hotel buchen günstig Claude
hotel buchungsportale vergleich ChatGPT

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.

All 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.