Introducing Prompt Volumes

Author
Madison Brisseaux
VP, Product Marketing
Published on
October 1, 2025

AI tools are becoming the new search engine, research assistant, and purchase advisor. Knowing how often your brand or category appears in AI prompts is key to understanding emerging trends, shifting consumer interests, and competitive positioning.

Now, you can see what users are asking AI about and how often they're prompting with our new product feature, Prompt Volumes. Simply search for any brand (like Porsche) or category (like electric vehicles) to see how often that topic appears in AI prompts each month across all major models. From there, you can explore prompt volumes for related topics like electric sedans, luxury EVs, performance cars, or benchmark against competitors like Tesla, BMW, and Toyota.

Unlike traditional keyword research, Prompt Volumes tracks topics instead of specific phrases. Why? Over 80% of AI prompts are unique. People don't write AI prompts like search queries - they write them like conversations. One user might ask an AI model to "compare Porsche's electric sedan to Tesla" while another might ask "is the Taycan or the Tesla Model S better?" Same intent, completely different wording.

That's why we cluster prompts into broader topics, giving you accurate measures of what people are actually asking about, regardless of how they phrase it.

Now with Prompt Volumes and AI Usage, you can see a holistic view of AI's impact on your category. These two features together show you both the scale of influence and the specific topics shaping demand. This allows you to spot emerging trends, guide content strategy, track competitive positioning, and understand how to prioritize your AI strategy.

As AI Search becomes the front door to discovery, traditional attribution models break down. The customer journey increasingly starts with an AI conversation that doesn't show up in your analytics until much later, if at all. AI Usage and Prompt Volumes bridge that gap. This isn't about replacing your existing analytics. It's about adding the missing layer that makes everything else make sense.

Recommended: How Evertune AI Measures–and Shapes–What AI Thinks About Your BrandRecommended: Why (Sample) Size Matters

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