Draft:Evertune AI

• Comment: I'm afraid this article doesn't demonstrate that the company fulfils Wikipedia's guidelines for notability. There is not evidence of significant coverage of the company from multiple independent sources. You have three sources: a trivial mention in the Economist (it's not about the company, it mentions the company so this is not "significant coverage"), more coverage in Business Insider, but it's not clear that this is independent of hte company and there is not a clear consensus on Business Insider being a reliable source (see WP:BusinessInsider) and then Adexchange. If you look at Wikipedia:Notability (organizations and companies)#Examples of trivial coverage you'll see that things like funding acquisitions count as trivial coverage. I see this is the only article you have edited in the Wikipedia. If you are an employee of Evertune AI it's important that you follow the guidelines at WP:COI. Lijil (talk) 14:29, 31 July 2025 (UTC)

• Comment: In accordance with Wikipedia's Conflict of interest policy, I disclose that I have a conflict of interest regarding the subject of this article. FloCisum (talk) 13:41, 2 July 2025 (UTC)

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Evertune AI is a privately held American software company that develops marketing technology tools focused on large language models (LLMs).

History

Evertune was founded in 2024 by a team of marketing, advertising and AI professionals, formerly of The Trade Desk. The group came together in response to increasing reliance on generative AI for product discovery and recommendations.

Platform

Evertune displays what AI models say about a particular brand or product. It presents the probability that an LLM would recommend the brand to consumers, benchmarks companies to their competitors, and identifies their strengths and weaknesses. It does this by analyzing tens of thousands of queries about product categories.

Evertune is integrated with ChatGPT, Google's Gemini, Meta's Llama, Anthropic's Claude, and Perplexity.

Press Coverage

• "AI is turning the ad business upside down" The Economist. June 18, 2025. "Evertune, another startup, analyses brands’ cachet with chatbots by posing tens of thousands of queries about product categories.It finds that, when asked to recommend a brand of bedsheet, for example, the main AI models agree on the top three but then vary widely (Meta’s bots like a make called Mellanni; Casper is popular with most models, except Gemini). The variations are explained by training data."
• Hercher, James (November 13, 2024). “Meet Evertune, A Gen-AI Analytics Startup Founded By Trade Desk Vets” AdExchanger “But generative AI search results are not like Google Search rankings. Traditional search rankings might be personalized to the user, for one thing, whereas the LLMs give indiscriminate answers, Stempeck said. Also, there is not a fixed index for generative AI results, compared to Google Search rankings. The same Google Search query given 1,000 times would generate the same Google response almost 1,000 times. Not so with Gemini.”
• Stokes, Samantha (October 30, 2024). “Evertune is building marketing analytics tools for LLMs. Check out the pitch deck it used to launch from stealth with $4 million in seed funding from Eniac.” Business Insider. “Brands can also use Evertune to improve what LLMs say about them, similar to how they optimize SEO to appear at the top of a Google search. For example, a luxury retail brand recently trained a model using the company's existing employee handbooks, Stempeck said.”