High-level insight into the popularity of a topic in AI-generated prompts using our EverPanel of almost 25 million real internet users in the U.S. (demographically weighted to reflect the broader internet). Whether you're tracking a brand, product category, or competitor, you can see how frequently it comes up in user queries. When you search for a brand, category, or topic, Prompt Volumes will show:

AI Usage helps you see beyond referral traffic to understand the true scope of AI's influence on your audience. Using our EverPanel of almost 25 million real internet users in the U.S. (demographically weighted to reflect the broader internet), AI Usage shows the scale of users who visit both AI models and sites within your product category.

The most common words and sentiment used when AI models describe your brand (vs. competitors) through “aided awareness” (meaning when an LLM is asked specifically about your brand).

To uncover the words most associated with your brand, we ask each model to generate reviews—repeatedly—to capture a wide range of responses. We then calculate:

Combined, these form an overall sentiment score for the brand. Then we visualize it through a word cloud: sized by frequency, colored by sentiment–showing exactly how LLMs describe your brand.

The AI Brand Index is a snapshot of your brand’s overall AI visibility within a given category. The index was developed by Evertune to provide insight on AI’s unaided awareness of different brands.

We run a dynamic set of prompts through large language models, asking each prompt - at scale - to capture the full spectrum of results. The prompts are engineered to imitate the questions a researcher would commonly ask a human survey panel when measuring unaided awareness in a product category. The intent is to measure how often an AI model will recommend a given brand and to evaluate how the AI model perceives the brand versus others in the same category.

Consumer Preferences looks at how likely an AI model is to drive attention to a brand, unaided, for a given consumer preference. We ask the models “what attributes do consumers care about most in this product category?” For example, we might find that when deciding on running sneakers, price, comfort, performance, and durability are most important to consumers. We then take those specific attributes and re-prompt the models at scale, asking “Which running sneakers are the best for price? Which are the best for comfort? Which are the best for performance?” This reveals where you’re winning, and where competitors are stronger on attributes most important to your consumers.

You can plot this out for your brand versus competitors in the space, dynamically change the chart based on ones you want to see, and drill down by model. We use this visualization to help inform what the next action steps need to be - where there are clear knowledge gaps in the model's understanding of your brand's strengths and where you need to focus to reinforce and increase the probability of recommendation.

Site Audit evaluates how effectively your website can be read and understood by AI bot crawlers and large language models (LLMs). Site Audit analyzes your website's technical infrastructure and content structure to identify opportunities for improving AI bot accessibility. We provide actionable insights and scores across multiple dimensions that directly impact how well AI systems can crawl, parse, and understand your website content.

AI learns by reading the internet, but each model maker has access to different parts of the internet. Content Analytics shows which domains or URLs most influence AI’s perception of your brand.

Within Content Analytics, we will surface up Opportunity URLs (sources that have a high influence on your category and topic, but where your brand is not mentioned) and Strength URLs (sources that have a high influence on your category and topic and mention your brand, weighted by brand sentiment).

Content Studio turns your insights into ready-to-publish blog posts designed to educate AI models on your differentiators. Within Content Studio, you can identify where your brand underperforms, review top 3 messages for each topic area, and generate blog copy optimized with the keywords and positioning that will most effectively educate AI models about your brand's strengths.