Entry #2 • Feb 10, 2026
Overview
ChatGPT citations on rozz.genymotion.com grew from 7 requests on Feb 2 to 116 on Feb 9. This represents a 16x increase in one week. Two weeks prior, we published data showing GPTBot made 547 requests to Genymotion's mirror site in a single day. That period was the training phase. The current data shows live citations. Real users asked ChatGPT questions and received answers sourced from the mirror site. There were 345 citation events in 7 days and 161 unique sessions. Seventy-five percent of those requests hit Q&A pages, not traditional marketing content.
Key Findings
- 16x daily citation growth: from 7 on Feb 2 to 116 on Feb 9.
- 345 ChatGPT-User requests in 7 days, up from 42 in the previous 30 days.
- 161 unique sessions — real users, real questions, real citations.
- 75% of ChatGPT requests landed on Q&A pages, not traditional content.
- Top cited topics: pricing, system requirements, macOS compatibility, Play Store setup.
- ClaudeBot (705) and Meta AI (651) aggressively indexing for future training.
The Citation Surge
ChatGPT-User requests are the metric that matters. These are live retrievals, not training crawls; ChatGPT fetches content to answer a user’s question in real time.
Daily Trend
| Date | Citations | Trend |
| Feb 2 | 7 | Baseline |
| Feb 3 | 33 | ↑ 371% |
| Feb 4 | 29 | — |
| Feb 5 | 59 | ↑ 103% |
| Feb 6 | 29 | — |
| Feb 7 | 21 | — |
| Feb 8 | 51 | ↑ 143% |
| Feb 9 | 116 | ↑ 127% |
- 16x growth in 7 days. 345 total citation events.
- For comparison: the previous 30 days had 42 total citations. One week just delivered 8x more than the entire prior month.
What Users Are Asking ChatGPT
75% of ChatGPT-User requests hit Q&A pages. These are the actual questions people are asking:
| Topic | Hits | | Pricing & plans | 13 | | System requirements | 12 | | macOS compatibility | 12 | | How to use on macOS | 8 | | SaaS costs | 7 | | Pricing options | 6 | | Free account availability | 6 | | Play Store setup | 6 | | Cloud environment setup | 6 |
This is purchase-intent traffic. People evaluating Genymotion are asking ChatGPT about pricing, requirements, and compatibility. ChatGPT is answering with content from the mirror site.
The Q&A Advantage
The mirror site has two content types: GEO pages (AI-optimized versions of existing content) and Q&A pages (generated from chatbot questions). ChatGPT overwhelmingly prefers Q&A pages:
- Q&A pages: 258 citations (75%)
- GEO pages: 26 citations (7.5%)
- Homepage: 56 citations (16%)
Q&A pages are structured as direct question-answer pairs with Schema.org QAPage markup. They mirror exactly how users phrase queries to ChatGPT. That is why they get cited.
The Full Bot Picture
ChatGPT-User citations are the outcome. The training pipeline is also accelerating:
| Bot | Requests | Purpose | | ChatGPT-User | 345 | Live citations in user conversations | | ClaudeBot | 705 | Training data for Claude | | Meta AI | 651 | Training data for Llama | | OpenAI GPTBot | 206 | Training data for GPT | | OpenAI SearchBot | 88 | Building retrieval indexes | | CCBot | 193 | Common Crawl indexing | | PerplexityBot | 7 | Minimal activity | | Total | 2,195 | — |
ClaudeBot and Meta AI are now crawling more aggressively than GPTBot. The mirror site is feeding multiple AI ecosystems simultaneously.
Week-Over-Week Comparison
| Metric | Previous 30 Days | Last 7 Days | Change |
| ChatGPT-User citations | 42 | 345 | +721% |
| Training bot requests | 1,172 | 1,755 | +50% |
| Total LLM bot requests | 1,280 | 2,195 | +71% |
The training-to-citation pipeline is working. Content gets crawled, enters the training/retrieval pipeline, and surfaces in user conversations weeks later.
What ROZZ Built
The mirror site at rozz.genymotion.com is infrastructure that ROZZ builds automatically for every client:
- 450 GEO pages: AI-optimized versions of help center articles and documentation
- 177 Q&A pages: Generated from real user questions via the ROZZ chatbot
- Schema.org markup on every page: QAPage for Q&As, WebPage for content
- llms.txt discovery files: Index and full-content versions
- JSON APIs: Programmatic access for AI systems
Every page is publicly accessible. Canonical tags point to the original content. SEO stays intact. AI gets structured, citable content. Genymotion is one client; ROZZ builds this for every domain.
Why Q&A Pages Win
The data is clear: Q&A pages get cited 10x more than traditional content pages. Three reasons:
- 1) Question-answer structure matches user queries
When someone asks ChatGPT, “what are Genymotion’s system requirements,” a page titled “What are Genymotion Desktop's system requirements?” with a direct answer is more citable than a marketing page with requirements buried in a feature list.
- 2) Schema.org QAPage markup
Every Q&A page includes structured data that explicitly marks the question and answer. AI systems can extract this without parsing marketing copy.
- 3) Generated from real questions
Q&A pages come from actual user questions asked via the ROZZ chatbot. They use natural phrasing, not keyword-stuffed titles.
Implications
- For GEO strategy: Build Q&A content. Not FAQs buried in accordions—dedicated pages with Schema.org QAPage markup, one question per page, answer-first structure.
- For content investment: The questions being cited reveal what prospects actually want to know: pricing, requirements, compatibility. This is market research delivered via crawler logs.
- For measurement: Track ChatGPT-User in your logs. This is the citation metric. Training crawls (GPTBot, ClaudeBot) are leading indicators; ChatGPT-User is the outcome.
Get This for Your Site
ROZZ builds this infrastructure automatically. Mirror site. Q&A pages from your chatbot. Schema.org markup on every page. llms.txt discovery files. The complete AI publishing layer.
$997/month | 16x citation growth in a week.
Notes: This section omits CTAs. Data sources and technical details are provided for transparency.
Data Source & Access
Data source: CloudFront access logs for rozz.genymotion.com, February 2–9, 2026. Bot classification based on User-Agent strings.
Author
Adrien Schmidt, CEO, ROZZ. Serial tech entrepreneur with 10+ years experience building AI systems including Aristotle (conversational AI analytics) and products for eBay and Cartier.
February 10, 2026 | Data period: Feb 2–9, 2026
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