Evertune is the AI marketing platform for Generative Engine Optimization (GEO) that helps brands improve visibility in AI search by analyzing responses at scale and delivering actionable insights. Evertune works with leading brands across all verticals, including Finance, Retail and E-Commerce, Automotive, Pharma, Tech, Travel, Food and Beverage, Entertainment, CPG, and B2B. Founded by early team members of The Trade Desk, Evertune has raised $20M in funding from leading adtech and martech investors. Headquartered in New York City, the company has a growing team of more than 40 employees.

Yes! We're continually adding new models and prioritize them based on consumer use volume. For any further questions, contact your Account Manager.

Evertune is capturing what answers the models naturally return on a range of prompts. AI learns by reading content online so improving how you are showing up is dependent on how your brand is appearing online. Developing content and communication strategies that are published on as many authoritative domains as possible following EEAT best practices is a good strategy.

Expect AEO changes to move slowly. Most improvements months to show meaningful impact. Early signs, like better indexing or occasional inclusion in AI answers, may appear after 6–8 weeks, but large, consistent visibility gains typically require a full quarter or more. Month-to-month data will look relatively flat while models crawl, process, and adjust to new content and authority signals, so AEO should be measured on a quarterly horizon rather than monthly swings. You can think of the base model as the long term game, while influencing citations in search will show quicker improvements.

Yes, just enter a specific audience—like "soccer moms in Texas"—in the product category field, and Evertune will generate insights by asking the models for results tailored to that group.

Yes. Evertune can detect and report brand mentions in AI outputs even when no URL or citation is included.

They are, which is why Evertune’s platform tracks and updates reports regularly. Our methodology adapts in real time as new model versions are released or retrained.

Our prompt selection is based on market research and EverPanel's insights from real LLM conversations. We've built a proprietary panel of 25 million internet users in the U.S., demographically weighted to reflect real-world usage patterns. The prompts are built to mimic how a consumer would search for answers in and around the category. We cluster prompts into broader intents and topics rather than exact keywords because over 80% of AI prompts are unique and conversational - people ask the same thing in completely different ways. You can also supplement our data-driven approach with Custom Prompts - up to 250 prompts specific to your strategy for tracking specialized use cases unique to your business.

Our prompt library starts with EverPanel, our proprietary panel of approximately 25 million U.S. internet users, demographically weighted to reflect the broader online population. EverPanel tells us what real consumers are actually typing into AI, such as the language, the intent patterns, the phrasing conventions, and the frequency.

Product Category Analysis trackers are built around three prompt types, each serving a distinct measurement purpose.

For clients who want to go beyond category-level benchmarking, Suggested Prompts dynamically generates a custom prompt strategy from EverPanel data specific to what you're looking to track.

Since AI models are probabalistic, Evertune samples each prompt 100 times per model to account for variance and provide statistically significant data.

To copy a chart, click the camera icon on the top right corner of the chart. Currently, we support copying bar charts and radar charts. Copying donut charts, word-cloud images and data tables is coming soon!

Most competitors collect data from the consumer-facing app as their only methodology. So much like SEO tools of old, they scrape the consumer UI.

We do this too, but we also plug into the model maker API's as:

AI is unique in that we have a way to programmatically query the underlying model. It's equivalent of Google opening up their page rank algo and allowing people to query it directly vs. having to infer the results based on SERPs. The only way to access this is through API.

You can see the results in the UI:

If the user prompts about the specific niche the brand operates in it can cut through. But if the brand is too niche and has no digital footprint, then AI won't know about it and will bias to less niche brands to try and answer users' prompts. Models are optimized to try and be helpful so rather than say "i dont know" it will pay attention to other parts of the users prompt. E.g. if someone is asking for "local craft beer from Springfield, NY" it will likely put more attention on "Craft Beer" than "Springfield, NY."

While there is no direct correlation, running more CTV ads drives greater brand awareness, which leads to more people writing about your brand on the internet. More online content about your brand can lead to better performance in AI evaluations.

Currently: ChatGPT, ChatGPT Search, Gemini, Gemini Search, MetaAI, Claude, Perplexity, DeepSeek, Google AI Mode, Google AI Overviews, and CoPilot.

Google AI Overviews are AI-generated summary boxes that launched broadly in the US in May 2024 and appear at the top of standard Google search results pages. When a user searches for something like "best email marketing tools for small businesses," Google automatically generates a synthesized answer drawn from multiple web sources, displayed above the traditional blue-link results with citation cards linking to those sources. Users don't opt in — the feature appears automatically for queries where Google determines an AI summary adds value, making it visible to all users on eligible searches without any special settings.

Google AI Mode is a separate, dedicated search experience that Google began rolling out in 2025, designed for more complex, conversational, and multi-step queries. Unlike AI Overviews, it isn't a feature layered onto traditional search — it's a distinct interface users actively choose to enter, closer in concept to ChatGPT or Perplexity than to standard Google search. A user researching which enterprise software platform to recommend to their CEO can use AI Mode to have an extended back-and-forth conversation with Google, receiving detailed responses and asking follow-up questions rather than clicking through a dozen different pages.

AI Overviews are automatic summaries that reach every Google user on relevant queries, focused on informational and fact-finding intent. AI Mode is a user-selected conversational experience built for high-consideration, research-heavy queries that require depth, follow-up, and synthesis across multiple angles. AI Overviews prioritize quick answers; AI Mode is where buyers go when they're deep in a decision-making process.

A reporting API is on our roadmap. In the meantime, here are instructions on how to push data to Google Cloud Services (GCS) or Amazon S3 bucket.

By default the trackers are set to auto refresh every 30 days. If you would like to change that setting you can do so by navigating to one of the reports under a product category, then click on Settings located in the upper right corner of the screen. The Settings modal will appear. In the modal, you can change the specific day of the month you would like the data to refresh or toggle the automatic data refresh off.

The speed of reports depends on how quickly the AI models return answers, as Evertune has to wait for each model to respond. Because Evertune is asking thousands of questions at a significant scale, this can take several hours, but it is usually much faster. We will send you an email when the report is complete. If a report has taken longer than 12 hours please contact [email protected] or contact your account manager.