How does the AI brand-visibility simulation work?
The share-of-voice simulation runs prompts against multiple AI models to measure how often your brand is mentioned in responses, giving you a visibility score across AI assistants.
The AI brand-visibility simulation, called Generative Engine Optimization (GEO) tracking in Revenue Proven, lets you see 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 multiple AI models, recording whether your brand is mentioned 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 product category, for example asking an AI to recommend solutions for a specific business problem. Revenue Proven provides five starter prompt suggestions to get you going. You can add up to the prompt limit defined by your plan.
How simulations run
Each prompt is sent to the configured AI models via 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 run on a nightly schedule and results accumulate over time so you can track trends in your share of voice.
- 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 specific prompts mention your brand most often
- Content drafts: AI-generated articles optimized to improve your brand visibility
GEO content generation
Revenue Proven can generate content drafts designed to increase your brand's visibility in AI-generated answers. These are approximately 1,500-word articles optimized 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.