Brand profile
FlipHTML5
How often AI names FlipHTML5 and where the brand ranks in web search. Aggregated across 2 Achtung.app industry reports.
fliphtml5.com DACH dataset (DE/AT/CH), as of 1. Jul 2026
FlipHTML5 was named in 4 analysed AI answers across 2 industry reports. Its strongest placement is the Media & Publishing report: rank 200 of 472 by AI prominence. Perplexity names the brand most often, on average at position 5,0 of the answer. In classic web search FlipHTML5 holds one result, at an average rank of 4,0.
At a glance
Verticals FlipHTML5 appears in
Sorted by rank. Click to open the full vertical report.
| Vertical | Rank | AI citations | |
|---|---|---|---|
| Media & Publishing | #200/472 | 3 | View report |
| SaaS & Software | #244/329 | 1 | From an earlier capture |
AI prominence over time
How the AI prominence of FlipHTML5 has moved across the collections so far. One point per report collection.
FlipHTML5 in Media & Publishing
| Collection | FlipHTML5 | Top 10 in the report |
|---|---|---|
| May 26 | 43.1 | 66.7 |
| Jun 26 | 52.1 | 67.4 |
| Jul 26 | 35.1 | 64.3 |
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 FlipHTML5 in the Media & Publishing report, by AI prominence.
| Rank | Brand | AI prominence |
|---|---|---|
| #198 | Telesurtv | 35,5 |
| #199 | Thieme Media | 35,1 |
| #200 | FlipHTML5 | 35,1 |
| #201 | Dacast | 34,8 |
| #202 | NoPlagiat | 34,8 |
Which AI models name FlipHTML5?
Distribution of citations across the AI models we query. Longer bars mean the model named FlipHTML5 more often in its answers.
n = 4 citations total
-
Perplexity2 (50%)
-
Gemini2 (50%)
Sample queries where FlipHTML5 was named
A cross-section of the automated queries where AI models included FlipHTML5 in their answer.
| Query | Model |
|---|---|
| welches Tool für Lead-Generierung im B2B | Perplexity |
| Monetarisierungstools für digitale Inhalte | 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. Sep 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): 1 / 5 blockiert.
Diagnostics
- JSON-LD types
-
Organization, WebSite, WebPage, HowTo
SEO hygiene; per Google not a direct lever for AI citations.
- Sitemap
- at least 0 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.