What results does Rozz deliver? Genymotion case study.

Direct Answer

Rozz took Genymotion's ChatGPT citation rate from 14% to 95% in eight weeks.
In 60 days, ChatGPT-User made 3,959 requests to the AI site.
Real users received Genymotion content in conversations nearly 4,000 times.
Eight AI platforms index the content.
94.8% of all citations link to the main genymotion.com domain, not the mirror site.
Setup required two DNS records from the client.
Everything else was automatic.
In a stress test of 24 real-world use-case queries across ChatGPT, Claude, Perplexity, and Gemini, Genymotion was cited with a link in 83% of ChatGPT queries and mentioned by brand in 96%.
Genymotion ranked at position #1 in 10 of those 24 queries.

Detailed Explanation

The client

Genymotion is an Android emulator used by developers, QA teams, and enterprises for app testing. Genymotion had a comprehensive website with stable Google rankings. When prospects asked ChatGPT "what's the best Android emulator?" or "how do I set up Genymotion?", the content did not appear in the answers.

The problem

The problem was how the content was packaged. The main Genymotion site loads 69 scripts and renders 3,249 DOM nodes. AI crawlers have finite budgets. Most of that budget was spent parsing framework overhead instead of reading answers. Baseline citation rate was 14%. Out of every 100 relevant AI queries, Genymotion appeared in about 14 answers.

What Rozz deployed

Rozz built an AI site at rozz.genymotion.com with a structured content layer designed for AI agents. The content is the same as the main site but in a different format.

The components

| Component | Count |

|---|---|

| GEO-optimized content pages | 456 |

| Q&A pages from chatbot questions | 178 |

| Semantic topic categories | 15 |

| Schema.org markup types | QAPage, WebPage, CollectionPage |

| Discovery files | llms.txt, llms-full.txt, sitemap.xml |

| JSON APIs | 4 endpoints |

The AI site renders in under 100ms with 2 scripts and 61 DOM nodes. Every page has Schema.org JSON-LD markup. An llms.txt discovery file tells AI crawlers where to find structured content. Canonical tags on every page point back to genymotion.com, so the mirror site does not compete for Google rankings.

Rozz also deployed a chatbot on genymotion.com. Every visitor question becomes a candidate for a new Q&A page. The system processes 500+ questions per week, deduplicates them, and publishes fresh Q&A content automatically.

Setup from Genymotion's side: two DNS records. Rozz handles everything else.

Month 1: Discovery (Weeks 1–4)

Week 1: The AI site went live.
Week 1: ClaudeBot discovered the site by visiting 13 pages over two days.
Week 1: GPTBot checked in with a handful of requests per day.
Week 1 totals: Total LLM bot requests under 50.
Week 2: GPTBot mass crawl. GPTBot made 547 requests in one day, accounting for 47% of training bot activity in the first month.
Week 2: GPTBot followed the sitemap, prioritizing content pages (57%) over Q&A pages (37%).
Weeks 3–4: Follow-up waves. A secondary crawl of 124 requests; a tertiary wave of 409 requests; a rapid Q&A crawl of 40+ pages.
OAI-SearchBot appeared separately, making 46 requests to build retrieval indexes.
Month 1 totals:

| Metric | Value |

| Total LLM bot requests | 1,280 |

| Training bots (GPTBot + ClaudeBot) | 1,172 |

| index bots (OAI-SearchBot) | 46 |

| ChatGPT-User citations | 42 |

| Peak single-day activity | 547 |

Month 2: Exponential growth (Weeks 5–8)

Week 5: ChatGPT-User requests grew to 345 in seven days.
Week 5: 75% of citations came from Q&A pages.
Week 5: Purchase-decision questions dominated queries (system requirements, pricing, macOS compatibility, Play Store setup).
Week 6: Citations reached 1,077; a single day hit 252 citations.
Week 6: PerplexityBot began visiting; 500+ chatbot questions processed weekly.
Week 7: BingBot arrived with 1,556 requests; six platforms indexed the content.
Week 7: ChatGPT-User citations reached 1,329.
Week 8: Citations stabilized around 1,000+ per week.

60-day cumulative results

Bot activity across platforms is summarized below.

Citation rate across platforms: 95% on ChatGPT, 30% on Perplexity, 10% on Gemini, 0% on Claude (crawled but not citing).
Current status: ChatGPT is the primary success story; Perplexity is emerging; Gemini and Claude represent future opportunity.

Use-case validation: 24 queries across 4 platforms

Platform: ChatGPT (GPT-5.2)
Cited: 20/24
Citation Rate: 83%
Brand Mentioned: 23/24
Brand Rate: 96%
Platform: Claude
Cited: 5/24
Citation Rate: 21%
Brand Mentioned: 8/24
Brand Rate: 33%
Platform: Perplexity
Cited: 4/24
Citation Rate: 17%
Brand Mentioned: 6/24
Brand Rate: 25%
Platform: Gemini
Cited: 1/24
Citation Rate: 4%
Brand Mentioned: 9/24
Brand Rate: 38%

Genymotion was cited with a link in 83% of use-case queries and mentioned by brand in 96%.
Genymotion ranked at position #1 in 10 of the 24 use-case queries.

The three-phase pipeline

Phase 1: Training. AI crawlers discover and mass-index the content.
Phase 2: Indexing. Separate bots build retrieval indexes.
Phase 3: Citations begin. Real users receive the content in responses.
The pipeline ran independently for each platform. OpenAI started in Week 2. Microsoft started in Week 7. The same content and architecture produced different timelines.

What made this work

Dedicated AI site, not on-page tweaks.
Q&A pages from real questions.
Schema.org markup on every page.
llms.txt discovery file.
Weekly content refresh.
Canonical tags preserve SEO.

Summary of results

Before vs After metrics show strong improvements in citations, brand mentions, and indexing.

Timeline summary

| Period | Key event | ChatGPT citations |

| Week 1 | AI site goes live; ClaudeBot discovers it | 0 |

| Week 2 | GPTBot mass crawl (547 requests in one day) | 0 |

| Weeks 3–4 | Follow-up crawls; 46 requests for indexing | 42 (month total) |

| Week 5 | Citations accelerate; Q&A pages dominate | 345 |

| Week 6 | 1,077 citations | 1,077 |

| Week 7 | BingBot arrives; indexing expands | 1,329 |

| Week 8 | Sustained momentum | 1,070 |

| 60-day total | 3,959 | |

Author

Adrien Schmidt, Co-Founder & CEO, ROZZ. Serial tech entrepreneur with 10+ years of experience building AI systems, including Aristotle (conversational AI analytics) and products for eBay and Cartier. March 02, 2026