Evertime AI, founded by Brian Stempeck, has raised $15 million in Series A funding to accelerate the development of its Generative Engine Optimization (GEO) platform and help brands win visibility in AI-based search. The round was led by Felicis, with participation from Sarfraz Maredia, Jonathan Carson, David A., Sonia Phene, Joseph Spisak, Chip Ransler, Eniac Ventures, NextView Ventures, and Roger Ehrenberg.

The Shift from SEO to GEO

As consumer behavior shifts from keyword-driven search to prompt-driven discovery, many brands are finding that traditional SEO techniques have little to no impact in a large-language-model environment. Evertime AI aims to solve that problem by enabling companies to influence how their products and brands are represented in popular generative engines like ChatGPT and Perplexity.

Unlike legacy SEO platforms - which optimize for links and meta tags - Evertime analyzes model behavior and shows brands exactly how and why they’re appearing (or not appearing) in responses. Armed with these insights, companies can structure product and brand data in a way that is readable, credible, and prioritizable by generative systems.

Why Investors Are Betting on Evertime AI

Investors recognize that generative engines are quickly becoming a primary discovery channel for consumers. However, because these engines rely on probabilistic interpretation of unstructured data, brands without a deliberate strategy risk being completely excluded from the digital conversation.

Early pilots using Evertime’s GEO platform have shown substantial improvements in brand recall during AI-assisted recommendations. Even more impressive, some customers reported that after only a few weeks of structured data optimization, the model not only mentioned their brand more frequently, but actually began weighting the brand’s differentiators in its responses.

And it’s at this moment in the company’s trajectory where the real insight for other founders becomes clear. Evertime didn’t try to compete in a crowded feature category - they moved one layer underneath the emerging trend and inserted themselves into the decision loop that every other company will eventually depend on. There’s a powerful lesson here: when a new ecosystem forms, the most durable position isn’t usually at the top - it’s as the interpreter of how the system makes its decisions. By becoming the translator between brand data and model behavior, Evertime effectively positioned itself as infrastructure. Infrastructure doesn’t need to convince the user - it’s simply required for the system to work. For founders, that’s a reminder that product-market fit often comes from identifying the point of friction others are ignoring and building the bridge that makes the entire ecosystem more usable.

Product Roadmap and Commercial Rollout

With the new capital, Evertime will expand its technical team and roll out vertical-specific GEO frameworks for industries such as automotive, financial services, and consumer packaged goods. A new monitoring tool will give brands real-time alerts when AI-generated responses deviate from approved messaging - reinforcing Evertime’s role as a living linkage between brand strategy and model outputs.

Implications for the Future of Brand Discovery

Generative search is transforming consumer discovery from a keyword contest into a contextual negotiation. Companies that adapt early by feeding structured, model-aligned data into the ecosystem will shape how the AI “thinks” about their category. Companies that wait may find themselves locked out of the conversation entirely.

Evertime AI sits squarely at the center of that transition. By helping brands become visible and credible inside the AI discovery channel, the company is laying the groundwork for a new kind of digital relationship - one where brand inputs shape the way AI interprets value, not the other way around.