Know what your audience is actually asking AI

Prompt Volumes reveals how often brands, products, and categories appear in real AI prompts—so you can understand demand, spot trends, and prioritize opportunities based on actual consumer behavior.
Prompt Volumes estimates how often your brand, competitors, and category appear in AI prompts across all major models—based on real-world usage data from 25 million internet users. You'll see estimated monthly volumes, trends over time, share across AI assistants, and related topics that reveal adjacent opportunities.
Learn more about Prompt Volumes in Evertune's Generative Engine Optimization platform.
Why do you track topics instead of exact keywords?
Over 80% of AI prompts are unique. People ask questions conversationally, not with keyword precision. Two people might ask the same thing in completely different ways—"Write a summary of the Porsche Taycan for a buyer choosing between it and the Tesla Model S" versus "Compare Porsche's electric lineup to Tesla's—focus on range and price." Prompt Volumes clusters prompts into topics to capture this variation and provide accurate demand measurement.
How should I use Prompt Volumes data?
Use Prompt Volumes to validate market interest before investing in GEO efforts. If a category or competitor has high prompt volume, there's genuine consumer demand. You can also spot emerging trends (rising prompt volumes) or declining interest (falling volumes) to adjust strategy. Compare your brand's prompt share against competitors to understand relative mindshare in AI search.
Can I track competitor's prompt volumes?
Yes. Prompt Volumes works for any brand, product, or category—not just your own. You can compare your brand's prompt volume against competitors to understand relative consumer interest, or track category-level volumes to gauge overall market size.
What does "related topics" show me?
Related topics reveal adjacent areas of interest—both branded and non-branded. This helps you discover expansion opportunities and understand the broader context of consumer queries. For example, searching "sneakers" might reveal high prompt volumes for "running shoes," "luxury sneakers," or "everyday sneakers" and show which related brands are often associated with these prompts—helping you identify specific segments to target and competitors to keep in mind.