The New York startup measuring how ChatGPT, Gemini, Claude and Perplexity talk about your brand - and helping you change the answer.
For twenty years, marketers fought over a page of ten blue links. Evertune AI is built for what comes after that page disappears - the moment a customer stops searching and simply asks an AI what to buy.
Evertune is a brand-analytics and optimization platform that measures how large language models - ChatGPT, Google's Gemini, Anthropic's Claude, Meta's Llama, and Perplexity - describe, rank, and recommend brands. The category has a name its founders helped popularize: generative engine optimization, or GEO, the AI-era successor to SEO.
The premise is straightforward. When someone asks an AI which running shoe, which CRM, or which winter coat to buy, the model returns a short answer that names a handful of brands. There is no page two. Being in that answer - or absent from it - increasingly shapes what people consider. Evertune exists to tell brands where they stand and how to improve.
Doing that credibly is a statistics problem before it is a marketing one. AI models are probabilistic: ask the same question twice and the wording, and sometimes the recommendations, shift. A single screenshot proves nothing. Evertune's answer is scale - it runs over 100,000 prompts per report and analyzes more than a million AI responses per customer each month, then aggregates the results into a visibility score.
The company was founded in 2024 by three veterans of The Trade Desk, the adtech firm that helped define data-driven digital advertising. Chief executive Brian Stempeck was among its first commercial leaders; he is joined by product chief Ed Chater and chief science officer Poul Costinsky, whose background spans Microsoft, Meta, and The Trade Desk. The founding idea came from watching their own behavior change - they had started asking chatbots what to buy, then wondered how the machine decided.
That question turned out to be a market. Evertune emerged from stealth with $4 million in seed funding led by Eniac Ventures, then raised a $15 million Series A in August 2025 led by Felicis Ventures, with returning investors and angels drawn from OpenAI, Google, Meta, and Uber. Total funding stands at roughly $19 million.
Early customers skew toward high-consideration purchases - categories like automotive, healthcare, luxury, and B2B software, where a single recommendation can carry real money. Named clients include Canada Goose, the collaboration software maker Miro, and WPP Media's data unit, Choreograph.
"Think of it like polling for a presidential election - would you ask 5,000 voters or 5?"
Evertune's core argument is about statistical confidence. The chart below illustrates the company's stated approach to response volume versus a typical one-off audit - an approximate, directional comparison.
Evertune sells a B2B software subscription. The platform moves from measurement to action - first telling brands where they stand inside AI models, then helping them shift the answer.
A visibility score by category showing how often and in what context AI models recommend a brand versus its competitors.
Ongoing tracking of presence, sentiment, and share of voice across ChatGPT, Gemini, Claude, Perplexity, and Llama.
Recommendations to improve how a brand is discovered and framed within AI-generated answers.
Generates data-driven, AI-optimized blog posts that target the attributes models weigh - publish-ready in minutes.
Tracks how AI shopping assistants recommend products and flags where competitors dominate a category.
Partnerships with The Trade Desk and Index Exchange connect AI-visibility insight to programmatic advertising.
Brands, agencies, and enterprises - especially in automotive, healthcare, luxury, and B2B software. Named customers include Canada Goose, Miro, and WPP Media's Choreograph.
AI assistants are a black box. Brands can't see whether models recommend them, ignore them, or hand the sale to a rival. Evertune makes that visible and measurable.
Scale. Evertune analyzes over a million AI responses per customer monthly - orders of magnitude more than sample-based tools - to produce statistically reliable measurement rather than anecdotes.
At the front of the funnel, in the emerging GEO category alongside tools like Profound, Peec AI, Otterly.ai, and Scrunch AI, plus legacy SEO and brand-monitoring platforms adding AI features.
B2B SaaS subscription for continuous analytics, benchmarking, and content tooling, expanding toward AI advertising through adtech partnerships.
A founding team that helped grow The Trade Desk from startup to roughly a $50B market cap, now applying data-driven advertising instincts to language models.
Brian Stempeck, Ed Chater, and Poul Costinsky launch Evertune to measure how AI models recommend brands.
Seed round led by Eniac Ventures; the LLM brand-analytics tool is unveiled.
The platform adds AI-optimized content generation, turning insight into publish-ready posts.
Felicis Ventures leads the round to scale the AI marketing and discovery platform.
Evertune expands into tracking how AI shopping assistants recommend products.
"Think of it like polling for a presidential election - would you ask 5,000 voters or 5?"
Evertune was founded because its team believed "AI is in the early stages of revolutionizing marketing and advertising."
It measures and improves how brands appear inside AI assistants like ChatGPT, Gemini, Claude, and Perplexity - a practice called generative engine optimization (GEO) - by running large-scale prompt tests and scoring brand visibility.
It was founded in 2024 in New York by Brian Stempeck (CEO), Ed Chater (CPO), and Poul Costinsky (Chief Science Officer), all veterans of The Trade Desk.
About $19M total: a $4M seed in 2024 led by Eniac Ventures and a $15M Series A in August 2025 led by Felicis Ventures.
It emphasizes scale - analyzing over a million AI responses per customer monthly - to produce statistically reliable measurement rather than one-off screenshots or small samples.
Brands, agencies, and enterprises in high-consideration categories, including named customers such as Canada Goose, Miro, and WPP Media's Choreograph.