How does the AI brand-visibility simulation work?
The share-of-voice simulation runs your prompts against multiple AI models and records whether your brand appears in each response, giving you a brand mention rate and per-prompt breakdown over time.
The AI brand-visibility simulation, called GEO tracking in Revenue Proven, shows how visible your brand is in AI-generated answers. You create prompts that represent questions your prospects might ask an AI assistant, and Revenue Proven runs them against configured AI models on a nightly schedule, recording whether your brand appears in the response.
Setting up prompts
Navigate to AI Discovery and open the Prompts section. Add prompts that represent buyer intent queries relevant to your category, for example asking an AI to recommend solutions for a specific business problem. Revenue Proven surfaces five suggested starter prompts to help you get going. You can add prompts up to the limit defined by your plan.
How simulations run
Each prompt is sent to the configured AI models through Revenue Proven's internal LLM gateway. The response is analyzed to detect whether your brand name appears. Results are stored with a brand mention flag, a timestamp, and the model used. Simulations accumulate over time so you can track trends in your share of voice across weeks and months.
- Brand mention rate: percentage of simulations where your brand was mentioned
- Prompt result count: total number of simulation runs across all prompts
- Per-prompt breakdown: which prompts mention your brand most consistently
- Content drafts: AI-generated articles designed to improve brand visibility in AI answers
GEO content generation
Revenue Proven can generate content drafts optimized to increase your brand's presence in AI-generated answers. These are roughly 1,500-word articles built around the topics in your prompts. You review and publish them through your own content channels. Revenue Proven does not publish content on your behalf.