Evertune is the ad-tech take on GEO — an AI Brand Index built from large-sample polling of 11 AI models, founded by three Trade Desk veterans who helped grow the company from 8 people to IPO. The platform raised $19 million from Felicis Ventures and Eniac Ventures, with angel investors from OpenAI, Meta, and Uber, and is building toward something no other GEO platform has attempted: an advertising module designed to reach buyers inside AI conversations.
Company Profile
- Founded: 2024
- Headquarters: New York City
- CEO: Brian Stempeck (ex-Chief Client Officer, The Trade Desk; Nielsen board member)
- Co-founders: Ed Chater, Poul Costinsky (both Trade Desk veterans)
- Total funding: $19M
- Series A: $15M, August 2025, led by Felicis Ventures
- Seed: $4M, October 2024, led by Eniac Ventures
- Investors: Felicis Ventures, Eniac Ventures, NextView Ventures, Roger Ehrenberg; angels Sarfraz Maredia (Uber), Jonathan Carson (Antenna), David Azose (OpenAI), Sonia Phene (OpenAI), Joseph Spisak (Meta), Chip Ransler (UVA)
- Employees: ~46
- Website: evertune.ai
The Founders — Trade Desk Pedigree
The founding team is the story. Brian Stempeck served as Chief Client Officer at The Trade Desk — the programmatic advertising platform that went from 8 employees to IPO and now trades at a $50B+ market cap. He sits on Nielsen's board, which signals depth in enterprise-grade measurement. Ed Chater and Poul Costinsky both came from Trade Desk's senior leadership.
That background shapes everything about how Evertune approaches the category. Where Profound comes from a marketing-analytics frame and Bluefish comes from a martech-acquisition frame (PromoteIQ/Microsoft, LiveRail/Meta), Evertune comes from a programmatic-advertising frame. The product architecture, the measurement methodology, and the roadmap all reflect an ad-tech sensibility: statistical rigor, large-sample polling, and the ambition to eventually sell media against the data.
The Funding
Felicis Ventures led the $15 million Series A in August 2025. Peter Deng — Partner at Felicis and former product leader at ChatGPT — called Evertune "ahead of the market in adapting to the downstream evolutions that AI systems will create in consumer behavior." The quote matters because Deng's ChatGPT product experience means Felicis is underwriting the thesis from the supply side of the AI answer, not just the brand side.
The angel roster reinforces the positioning: David Azose and Sonia Phene from OpenAI, Joseph Spisak from Meta, Sarfraz Maredia from Uber. These are operators inside the AI platforms Evertune measures — which gives the company's roadmap an unusual feedback loop between platform builders and brand-side measurement.
Eniac Ventures led the $4 million seed in October 2024, and returned for the Series A alongside NextView Ventures and Roger Ehrenberg.
What Evertune Actually Does
Evertune's core product is the AI Brand Index — a statistical measurement of how AI models describe, rank, and recommend a brand. The platform polls 11 AI systems — ChatGPT, Claude, Perplexity, Gemini, Google AI Mode, Google AI Overviews, Copilot, DeepSeek, Meta AI, and others — running over 100,000 prompts per report. That sample size is the methodological differentiator. Where most GEO platforms run dozens to hundreds of prompts, Evertune runs tens of thousands, producing what the company positions as a statistically grounded share-of-voice benchmark rather than a spot check.
The workflow spans four layers:
Consumer question discovery. Identifying the prompts real buyers ask across AI platforms — not hypothetical queries, but actual conversation patterns.
Visibility measurement. The AI Brand Index — large-sample polling across 11 models, scored by mention frequency, sentiment, competitive positioning, and recommendation strength.
Content optimization. Recommendations for how to restructure content, messaging, and positioning to improve how AI models interpret and cite the brand.
AI conversation advertising. This is the roadmap play. Evertune is building toward an advertising module that lets brands reach buyers inside AI conversations — not by manipulating answers, but by placing branded content into the retrieval layer that AI engines draw from. The ad-tech founders see this as the natural evolution: measurement first, then media. The Trade Desk followed the same arc in programmatic display.
Evertune vs. the Category
Profound leads on funding, product breadth, and enterprise customer scale. Bluefish leads on Fortune 500 penetration and the agentic marketing thesis. Peec AI owns mid-market pricing. Evertune's differentiation is threefold:
Statistical rigor. 100,000+ prompts per report vs. the industry standard of hundreds. The measurement reads as a research instrument, not a dashboard.
11-model coverage. The broadest engine coverage in the category — including DeepSeek, Meta AI, and Google AI Mode alongside the standard five.
The advertising roadmap. No other GEO platform is building toward media placement inside AI conversations. If the ad module works, Evertune's business model expands from SaaS measurement to media economics — which is a fundamentally different scale of outcome. The Trade Desk comparison is the point: measurement was the wedge, media was the business.
The risk: the advertising module requires cooperation or at least tolerance from the AI platforms. If ChatGPT, Gemini, and Perplexity build their own native advertising systems (which some have already started), the third-party ad layer may not find purchase. Evertune is betting that the measurement relationship with enterprise brands creates enough lock-in to earn a seat at the media table when it opens.
What to Watch
AI conversation advertising launch. The feature that separates Evertune's roadmap from every other GEO platform. If it ships and brands buy, the company moves from measurement to media. If it stalls, Evertune competes on analytics against better-funded rivals.
Enterprise customer disclosure. The company has not publicly named its full customer list. Independent reviews cite Roku and WPP-tier customers. Named enterprise logos would accelerate the positioning against Profound and Bluefish, both of which lead with customer names.
Measurement-as-currency. Stempeck's Nielsen board seat is not a coincidence. If the AI Brand Index becomes a recognized industry benchmark — the way Nielsen ratings became the currency of television — Evertune captures a different kind of value than a SaaS subscription. The Trade Desk did this with programmatic data. The question is whether the same playbook works for AI visibility.
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