Generative Engine Optimization
Track how ChatGPT, AI Mode, AI Overview, Claude and all major AI models describe your brand.
Track how ChatGPT, AI Mode, AI Overview, Claude and all major AI models describe your brand.
Quantify your AI search visibility with and benchmark against competition
Monitor what AI models are saying about your brand
Identify which consumer preferences drive AI recommendations
Spot messaging and distribution gaps costing you visibility
See which products appear in shopping recommendations and the related prompts
Audit your website to optimize it for AI crawlers
See exactly where you stand in AI search, versus every competitor.
Not sure how your brand shows up in ChatGPT? Our AI Brand Index fixes that.
Think of it like brand awareness surveys, but for machines that influence millions of purchase decisions daily. Our AI brand analytics measures unaided awareness across AI models by prompting each platform thousands of times to calculate three scores:
Visibility score
The frequency your brand is included in responses
Average position
Where you land in the responses
AI Brand Score
The only metric that combines frequency and average position of brand mentions
We automatically surface competitors, calculate their AI scores and rank them so you see exactly who's winning — and by how much. You get stable, statistically significant data to measure your Generative Engine Optimization progress.
Read more about AI Brand Index.
When AI shows shopping recommendations, are your products included?
ChatGPT now displays product cards with prices, reviews and direct purchase links when users ask product questions. This bypasses traditional search entirely. Consumers are recommended several products with a clear path to purchase. AI decides which ones make the cut.
Evertune's Shopping Intelligence gives you the insights and actions to show up in the moment it matters.
Shopping trigger rate
How often product searches activate shopping results
Brand visibility
When you appear vs. competitors in purchase moments
Product & retailer insights
Which products ChatGPT recommends and which retailers are featured
Competitive pricing
See how your products’ pricing compares to competitors, according to AI models
Porsche’s safety ranking is clearly
contributing to a lower score.
This is your complete view of AI-powered commerce within your category. We automatically surface competitors, calculate their AI scores and rank them so you see exactly who's winning — and by how much. You get stable, statistically significant data to measure your Generative Engine Optimization progress.
Read more about Shopping Intelligence.
LLMs aren't recommending brands randomly. They're making calculated judgment calls about what matters most and evaluating brands based on that criteria.
Porsche’s safety ranking is clearly
contributing to a lower score.
The words shaping your reputation
in AI search.
Every time AI mentions your brand, it's building your reputation one word at a time.
Our Word Association feature uncovers the language and sentiment behind every mention. We show you the most common words tied to your brand, then quantify their impact.
Porsche’s safety ranking is clearly
contributing to a lower score.
Word Association is like traditional brand tracking, but built for an era where AI shapes opinions at scale. Want to know what words define your competitors? Our AI brand monitoring shows you that, too.
Read more about Word Association.
The three sources of truth behind the most comprehensive AI brand analytics platform.
Most AI brand monitoring platforms only scrape surface-level data and call it insights. Evertune adds real-world human insight and deep access to AI model behavior, so you see the full picture:
Direct API access - inside the AI's brain
Direct connections to LLMs measure how core training perceives your brand. Think of it as reading AI's first impressions at enterprise scale.
Consumer app data collection - what the model finds in real time
Data from consumer apps reveals how real-time search influences recommendations. Because what AI knows versus what AI finds can be two different stories.
EverPanel - what real people search for
Our consumer panel of over 150 million real user prompts shows what people are asking AI, the language they use and how often they're searching, across your brand, category and competitors.
What is AI brand monitoring?
AI brand monitoring is the practice of tracking how AI models like ChatGPT, Perplexity, Gemini, and Claude describe, recommend, and position your brand in their responses. Unlike traditional brand monitoring, AI brand monitoring captures how your brand is perceived in AI-generated answers — where a growing share of consumer brand discovery now happens.
How does Evertune monitor AI brands?
Evertune monitors AI brands through three data sources: direct base model API access (running prompts at scale across all major LLMs), daily consumer app data (capturing real user interactions with AI tools), and EverPanel (a 25-million-person consumer panel). This delivers statistically significant insights across ChatGPT, Perplexity, Gemini, Claude, Google AI Mode, and 6 more models.
What AI models does Evertune track?
Evertune tracks 10+ AI models including ChatGPT, Google AI Mode, Google AI Overviews, Perplexity, Gemini, Claude, Meta AI (Llama), Copilot, DeepSeek, and ChatGPT Search. Coverage across all major models ensures you see the complete picture of your AI brand visibility, not just performance in one tool.
How is AI brand monitoring different from traditional brand monitoring?
Traditional brand monitoring tracks mentions in social media, news, and search results. AI brand monitoring tracks how AI models describe your brand in generated responses. AI models synthesize information from across the web and present it as a single authoritative answer, making AI brand perception increasingly influential in how consumers discover and evaluate brands.
What is AI Brand Score?
AI Brand Score is Evertune's proprietary metric measuring the probability that an AI model will recommend your brand unprompted. It combines visibility frequency with position weighting — first position scores 100%, second 90%, third 81% — to produce a 0-100 score. A higher AI Brand Score means AI models are more likely to recommend your brand first in relevant responses.
