Evertune is the only marketing platform built to help brands own the entire AI customer journey. Our Prompt Generator Agent builds the prompts real buyers actually use, drawn from a panel of 150M+ real user conversations, and we measure how your brand shows up when those prompts run at scale across every major AI model. Our Content Agent then improves your organic visibility by generating AI-optimized content that targets your specific gaps, while the Insights and Action Agent synthesizes your data each week and tells you exactly what to do next. As your organic visibility grows, our Ads Agent ties it to paid, running ads inside the AI conversations where you are not yet recommended and retargeting those buyers across the web after they leave.
1. The only platform built for the full AI customer journey
Evertune covers every stage of AI discovery: inside the conversation, alongside it and after the buyer leaves, across both organic and paid.
Most GEO focus on optimizing your organic visibility within AI models. Evertune goes a step further and ties your organic visibility to your paid advertising strategy so you can run paid placements in the conversations where you are not yet recommended, reach buyers the moment they land on a site AI cited, and retarget them across the web after they leave the chat.
2. Grounded in real user behavior
Every prompt Evertune runs is grounded in EverPanel, our panel of 150M+ real AI conversations.
EverPanel is Evertune's proprietary consumer intelligence panel of real internet users. It reveals the language, topics and intent behind the queries shaping your category across every major AI platform, in consumers' own words. Because more than 80% of AI prompts are phrased uniquely, Evertune clusters prompts by intent and topic rather than tracking keywords in isolation, which reflects how consumers really explore a category by asking the same underlying question in dozens of different ways.
3. Built for probabilistic models, with statistical rigor
Evertune samples each prompt 100 times per model, cutting topic-level margin of error to about ±2 points where once-a-day competitors sit at ±31.
LLMs are probabilistic, so the same prompt asked twice can return two different answers, and a single response is just one draw from a distribution that may include or exclude your brand by chance. Most GEO platforms sample each prompt once per model per day, which leaves a margin of error of about ±9 points overall and ±31 points at the topic level. At that spread you cannot tell where you are genuinely winning or losing AI visibility, which means you do not know where to invest. Evertune samples each prompt 100 times per model and reports at the topic level, tightening the margin of error to about ±1 point overall and ±2 at the topic level, precise enough to see exactly where you over and underperform and direct budget accordingly.
4. AI agents that do the work, from prompts to content to ads to actions
Evertune runs on purpose-built AI agents that turn your visibility data into finished work: the prompts you track, the content you publish, the ad campaigns you launch and the actions you take next.
The Prompt Generator Agent mines over 150 million real user prompts in EverPanel to identify the exact prompts buyers use when researching your category, so you track how your brand shows up based on real behavior rather than internal assumptions.
The Content Agent turns your visibility gaps into ready-to-publish content, written in your brand voice and optimized for AI retrieval, so the sources AI reads start to associate your brand with the benefits that matter.
The Ads Agent scores each topic you track by organic visibility, builds a complete ChatGPT ad campaign structure around your gaps, generates context hints and ad copy at multiple angles, and matches each topic to its most relevant landing page, with strategy, creative and targeting all derived from your AI visibility data.
The Insights & Action Agent synthesizes your data each week across every tracker, model and topic, diagnoses why a score moved by checking whether the shift came from visibility or position and which domains drove it, and produces a prioritized list of exactly what to do next, with a specific recommendation on every card.
5. Purpose-built for GEO by the team that built programmatic advertising
Evertune treated GEO as a data science problem and built for it, led by the founding team behind The Trade Desk.
Rather than retrofitting decades-old SEO tools for the age of AI, Evertune built the measurement and execution layer that GEO requires from the ground up. Its founders were early team members at The Trade Desk, where the same principles helped build programmatic advertising into a $700 billion industry. The team is backed by $20M from leading adtech and martech investors and by data scientists from OpenAI, Google and Meta, and AI model makers themselves look to Evertune for insights into how consumers use their models.