Investing in Evertune

There are two common pitfalls when you’re operating at scale: 1) not measuring the right things and 2) measuring inaccurately.

CMOs are falling into both of those traps today. Conversational AIs are quickly becoming the default interface for how people search, learn, and make decisions. Answers are replacing blue links with AI search, eclipsing traditional search by 2028, and enterprise CMOs don’t have dashboards that measure how frequently or how they appear in ChatGPT, Gemini, Claude, Meta AI, Perplexity, Grok, or the underlying foundational models. 

There are some existing tools out there, but they’re not measuring the right things, and they don’t measure them accurately. The dashboards that do exist measure keywords, not what really matters to each CMO’s strategy. And when you take action on inaccurate data that isn’t aligned to your goals, you’re not going to drive impact.

Simply put: you can’t move what you don’t measure, and the wrong data will lead you astray.

It’s not just about placement, it’s about sentiment. How the LLMs talk about your brand is the unlock of conversational AI. Unlike in search, the most important factor is sentiment, not where you show up for which keywords. People are already going back and forth with ChatGPT doing nuanced product comparisons to form their purchase decisions. Eventually, we’ll have devices in our ears, having a conversation about products where there are no links at all. CMOs need the right tools to measure the nuances of sentiment.

Data science matters. Some AI monitoring tools throw up flashy charts showing daily or weekly brand performance shifts across models. Given models are relatively steady, wild day-to-day fluctuations should raise some questions: is the movement noise or is it real? Understanding what the models think and how they are weighing various web results is critical for taking the right actions. If you can’t trust your data, actions you take will be ineffective or counterproductive.

We’re thrilled to back Evertune, the first enterprise-ready marketing platform to help CMOs win in the AI era.

Evertune caught our attention because they're approaching the problem in the right way.

They measure sentiment in addition to placement across all the major products. They give deep insights across the dimensions that matter for each industry and each company. The dashboards and measures are custom-built based on each CMO’s strategy. 

They focus obsessively on data science. Instead of prompting the model just a handful of times, Evertune samples more than 100,000 prompts per report, and regularly updates their findings. The result is statistically meaningful insights that marketers can trust and act upon. 

They take action automatically. They trace responses back to the sources and provide clear, actionable ways to shift AI perception, from adjusting content to rethinking strategy. Evertune's platform is the only solution that treats AI perception measurement with the seriousness and rigor that enterprises demand.

The team understands what enterprises need. Co-founder and CEO Brian Stempeck helped grow The Trade Desk from 8 people to IPO and served on its board. He also serves on Nielsen’s board, given his depth in enterprise-grade measurement. Alongside co-founders Ed Chater and Poul Costinsky, the Evertune team brings the rare combination of deep adtech roots, go-to-market precision, and C-suite trust. They understand enterprise customers expect the best: accuracy, reliability, and actionable insights.

In a world where your brand is increasingly defined by what machines say, it’s no longer enough to optimize for search engines or social feeds. Evertune’s clarity of vision and their commitment to robust data science as the foundation of brand measurement is the kind of discipline that's required in this new, conversational-first landscape. 

We’re proud to lead Evertune’s Series A, join the board, and partner with a team that’s turning black-box chaos into brand clarity.