Visibility used to mean page rank. Then it meant followers. Then impressions. Now? It means something else entirely, and Evertune is the one holding the flashlight while the rest of the enterprise world fumbles in the dark.
This isn’t some recycled martech hype. This is a shift, one that started when three Trade Desk vets realized AI wasn’t just changing how we search. It was changing how we decide. When ChatGPT, Gemini, Claude, and Llama started answering our “what should I buy?” questions with full-blown recommendations, Brian Stempeck, Poul Costinsky, and Ed Chater saw the future, and it didn’t include SEO hacks or ad retargeting. It included generative prompts, model visibility, and something they call Generative Engine Optimization (GEO). That’s not a buzzword. That’s a market.
Now Evertune’s raised $15 million in Series A funding, led by Felicis Ventures. And if you’ve ever read Peter Deng’s resume, you already know Felicis Ventures doesn’t waste time on small problems. Strategic angels like Sarfraz Maredia, Jonathan Carson, David Azose, Sonia Phene, Joseph Spisak, and Chip Ransler saw it too. So did returning VCs Eniac Ventures, NextView Ventures, and Roger Ehrenberg, who backed Evertune early when it was just an idea, and 100,000 daily prompts shy of global traction.
What started in April 2024 is now trusted by power players like Canada Goose, Miro, and WPP’s Choreograph. This isn’t a vanity dashboard for marketing interns. This is API-level prompting at enterprise scale, quantifying where and how your brand shows up across generative models with surgical precision. One luxury auto client saw a 19-point jump in AI visibility after deploying Evertune. That’s not a case study. That’s a market signal.
While everyone else is stuck counting clicks, Evertune is tuning into the new frequency, AI-driven consideration, model-native brand perception, and actionable insights pulled straight from the LLM layer. No scraping. No gimmicks. Just statistically valid clarity in a world of generated noise.
Evertune isn’t trying to make AI work for marketing. It’s building the stack where AI is marketing. If you’re in B2B software, healthcare, or automotive, this isn’t just another tool. This is your visibility engine. And it’s only getting louder.
