When a developer asks an AI assistant for help with a job, the assistant recommends a tool. Before the AI site, it was Genymotion 14% of the time. Eight weeks later, ChatGPT was citing Genymotion in 83% of the relevant answers and putting it first for the jobs buyers actually have.
Citations are marketing: being visible in AI answers. An AI site is closer to selling. It gives the user's assistant what it needs to recommend the product that fits the person asking, for the job they are actually trying to do. It can do that because the content is built from real user questions, not brochure copy.
Genymotion makes an Android emulator that developers, QA teams, and enterprises use to test apps. Their website ranked fine on Google. But when someone asked ChatGPT "what's the best Android emulator?" or "how do I set up Genymotion?", the answer usually skipped them.
The content was not the issue. The packaging was. The main site loads 69 scripts and renders 3,249 DOM nodes, and an AI crawler spends most of its budget on framework overhead instead of reading answers.
The baseline: Genymotion showed up in about 14 of every 100 relevant AI queries.
Rozz built an AI site at rozz.genymotion.com: the same content as the main site, repackaged for AI agents. 456 clean pages and 178 Q&A pages built from real chatbot questions, each with Schema.org markup and an llms.txt file so crawlers can read it. It renders in under 100ms, on two scripts and 61 DOM nodes.
Genymotion's side of the setup was two DNS records. We build and run the rest, refreshing the content every week as new questions come in.
Before the AI site, Genymotion turned up in about 14% of relevant ChatGPT queries. It now sits at 83%. But a citation rate only tells you the assistant mentions you. For selling, the question is whether it recommends you when someone describes a real job.
So we ran 24 use-case queries across ChatGPT, Claude, Perplexity, and Gemini, each phrased the way a buyer describes what they are trying to do. ChatGPT cited Genymotion in 83% of them, named the brand in 96%, and ranked it first in 10 of the 24, ahead of every competitor.
| Platform | Cited | Citation rate | Named the brand |
|---|---|---|---|
| ChatGPT (GPT-5.2) | 20/24 | 83% | 96% |
| Claude | 5/24 | 21% | 33% |
| Perplexity | 4/24 | 17% | 25% |
| Gemini | 1/24 | 4% | 38% |
The jobs where ChatGPT put Genymotion first are exactly the ones a buyer would ask about:
None of this needed per-platform tuning. One AI site drew ten AI crawlers and 13,193 requests across eight platforms in 60 days. Build it once, and the platforms come on their own.
It works because the content is built from real user questions, the actual problems people bring to the chatbot. A marketing page makes one pitch to everyone. A library of real questions lets the assistant find the answer that fits the person in front of it. Someone on macOS, on a small team, with a security requirement needs a different answer than someone wiring up a CI pipeline at scale, and the AI site has a specific page for each. Pricing for their team size. Compatibility with their setup. The constraint they are stuck on right now.
So the assistant is not matching a buyer to a brochure. It is matching a product to a person, on the details that decide the sale.
A second site sounds like split authority. The data says otherwise. Of every ChatGPT citation for Genymotion, 94.8% link to genymotion.com and 5.2% to its support subdomain. Zero link to the AI site. The assistant reads the structured content, then credits the original source. Every URL it has ever cited was crawled on the AI site first.
Two DNS records on your side. We build and run the rest.