Draft:Evertune AI
Submission declined on 15 April 2026 by ThatTrainGuy1945 (talk).
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|
This draft's references do not show that the subject meets Wikipedia's criteria for inclusion for organizations and companies. The draft requires multiple published secondary sources that:
Declined by MSK 2 months ago.
|
Comment: The phrase, " in the context of broader reporting " usually indicates most references are bordering and do not cover this company specifically in detail. 🚂ThatTrainGuy1945 Peep peep! 02:44, 15 April 2026 (UTC)
| This is a draft article. It is a work in progress open to editing by anyone. Please ensure core content policies are met before publishing it as a live Wikipedia article. Find sources: Google (books · news · scholar · free images · WP refs) · FENS · JSTOR · TWL Last edited by OpalYosutebito (talk | contribs) 25 days ago. (Update)
Finished drafting? |
Company type | Private |
|---|---|
| Industry | Artificial intelligence, marketing technology |
| Founded | April 2024 |
| Founders | Brian Stempeck Poul Costinsky Ed Chater |
| Headquarters | New York City, New York, U.S. |
Key people | Brian Stempeck (CEO) Ed Chater (COO) Poul Costinsky (CTO) |
| Products | Generative Engine Optimization (GEO) platform |
| Services | AI brand monitoring, AI search optimization |
Evertune AI (doing business as Evertune) is an American artificial intelligence marketing technology company headquartered in New York City.[1][2][3] It develops a SaaS platform for generative engine optimization (GEO), a form of search engine optimization (SEO) adapted for large language models (LLMs).[4] The company tracks how brands are mentioned in responses from AI chatbots and provides recommendations on improving that visibility.[5] Reuters described it as working "with clients to make their websites discoverable by large language models."[2]
Unlike traditional search results, which are relatively stable, LLM responses vary each time a query is asked, making brand visibility harder to measure.[5] The New York Times reported that the rise of such tools reflects a broader shift in corporate marketing, as companies try to influence not just human consumers but the AI systems that increasingly mediate product recommendations.[3]
History
Evertune was founded in April 2024 by Brian Stempeck, Poul Costinsky, and Ed Chater, all former executives at the advertising technology company The Trade Desk.[5][6] Stempeck was The Trade Desk's first chief strategy officer and sat on its board of directors before departing in 2020.[7] Costinsky and Chater had worked at Adbrain, a cross-device identity company that The Trade Desk acquired in 2017.[5]
The company emerged from stealth mode in November 2024 with $4 million in seed funding led by Eniac Ventures, with additional participation from NextView Ventures and several former Trade Desk executives.[8][9][5] It raised a further $15 million in a Series A round in August 2025, led by Felicis Ventures, bringing total funding to $19 million. [10][11][3] Angel investors in the Series A included individuals from OpenAI, Meta Platforms, and Uber.[6][12]
In December 2025, impact.com, a partnership marketing platform, made a strategic investment and announced a partnership to provide content partnerships based on AI search data.[13][14]
Technology
Evertune's core product runs variations of consumer queries thousands of times across multiple AI models, then measures how often a given brand is recommended or cited.[5] The same query asked 1,000 times may produce different results each time, so the company relies on statistical analysis across large volumes of responses.[5] The company says it processes over one million AI responses per brand per month.[15][16]
Reported clients include Canada Goose, Miro, and WPP's Choreograph division;[11] the New York Times reported that the company had more than 200 clients as of early 2026, concentrated in health care, pharmaceuticals, automotive, luxury goods, and electronics.[3]
In February 2026, Evertune expanded into programmatic advertising through partnerships with Index Exchange and The Trade Desk, allowing marketers to buy ad placements on web pages frequently cited by AI chatbots.[17][18] Evertune says about 12% of chatbot users click through to the sources cited in AI responses, creating an advertising opportunity on those pages.[18] Adweek noted, however, that the product currently relies on prompts rather than tracking real users, making it closer to a contextual buy than true audience retargeting.[18]
Industry
Evertune operates in the emerging GEO market. Venture capital firm Andreessen Horowitz estimated that the category could disrupt the $80 billion SEO industry as consumers shift from traditional search engines to LLM-based interfaces, though the firm cautioned that the market remains experimental and the rules keep changing as AI providers update how their models cite cources.[4]
Reception
The company has drawn coverage from outlets including the Wall Street Journal, Reuters, the New York Times, Forbes, AdExchanger, and Adweek, typically in the context of broader reporting on how the marketing industry is adapting to AI search.[1][2][3][6][17][18] Adweek characterized the emergence of tools like Evertune's as evidence that familiar digital advertising patterns are being reproduced in the chatbot era, calling the developments incremental rather than transformative.[18] Venture Capital firm Andreessen Horowitz called GEO a "new paradigm" and acknowledged the category's durability is uncertain, since AI models can change their citation practices at any time.[4]
References
- ^ a b "A Billion-Dollar Question Hangs Over the New AI Search Marketing Industry". The Wall Street Journal. December 2025. Retrieved January 13, 2026.
- ^ a b c McLymore, Arriana (November 26, 2025). "As AI reshapes shopping, US retailers try to change how they're seen online". Reuters. Retrieved January 13, 2026.
- ^ a b c d e Griffith, Erin (February 17, 2026). "The New Way to Market Your Business: Win Over the Chatbots". The New York Times. Retrieved March 15, 2026.
- ^ a b c Cohen, Zach (June 10, 2025). "How Generative Engine Optimization (GEO) Rewrites the Rules of Search". Andreessen Horowitz. Retrieved January 13, 2026.
- ^ a b c d e f g Hercher, James (November 13, 2024). "Meet Evertune, A Gen-AI Analytics Startup Founded By Trade Desk Vets". AdExchanger. Retrieved January 13, 2026.
- ^ a b c Shrivastava, Rashi (August 12, 2025). "The Prompt: SEO Is Dead. What Comes Next?". Forbes. Retrieved January 13, 2026.
- ^ "Brian Stempeck to Step Down as Chief Strategy Officer of The Trade Desk on September 1, 2020" (Press release). Business Wire. July 9, 2020. Retrieved January 13, 2026.
- ^ "Why We at NextView Ventures Are Investing in Evertune: Crafting Brand Voices in the LLM Age". NextView Ventures. October 30, 2024. Retrieved January 13, 2026.
- ^ "Evertune Reveals AI Marketing Tool with $4M Boost". AIM Research. November 10, 2024. Retrieved January 13, 2026.
- ^ "AI Marketing Company Evertune Raises $15M Series A". Built In NYC. August 14, 2025. Retrieved January 13, 2026.
- ^ a b "Evertune Raises $15 Million Series A to Scale Its AI Marketing and Discovery Platform" (Press release). GlobeNewswire. August 12, 2025. Retrieved January 13, 2026.
- ^ Sullivan, Laurie (September 8, 2025). "OpenAI, Google Investors Infused Cash Into Former Trade Desk Execs' AI Startup". MediaPost. Retrieved January 13, 2026.
- ^ "impact.com and Evertune Partnership Helps Brands Influence AI Search Results, Supported by Strategic impact.com Investment" (Press release). Business Wire. December 16, 2025. Retrieved January 13, 2026.
- ^ "impact.com and Evertune announce partnership". InPublishing. December 18, 2025. Retrieved January 14, 2026.
- ^ "Impact.com Tackles Zero-Click Tracking with Evertune AI Search Integration". Affiverse. December 2025. Retrieved January 14, 2026.
- ^ "Evertune Raises $15 Million and Explains AI Search Optimization". CDP Institute. August 18, 2025. Retrieved January 14, 2026.
- ^ a b Gerber, Joanna (February 11, 2026). "How GEO Startup Evertune Found Its Way Back To Programmatic Targeting". AdExchanger. Retrieved February 13, 2026.
- ^ a b c d e Stenberg, Mark (February 11, 2026). "Retargeting Has Found Its Way to the Chatbots". Adweek. Retrieved February 13, 2026.
External Links
Category:American companies established in 2024
Category:Companies based in New York City
Category:Marketing companies of the United States
Category:Software companies based in New York City
Category:Software companies of the United States
Category:Privately held companies based in New York City
Content Disclaimer
Informasi ini disarikan dari Wikipedia dan disajikan kembali untuk tujuan edukasi. Konten tersedia di bawah lisensi CC BY-SA 3.0. Kami tidak bertanggung jawab atas ketidakakuratan data yang bersumber dari kontribusi publik tersebut.
- The information displayed on this website is sourced in part or in whole from Wikipedia and has been adapted for the purpose of restating it. We strive to provide accurate and relevant information, however:
- There is no guarantee of absolute accuracy. Wikipedia is an open, collaborative project that can be edited by anyone, so information is subject to change.
- It is not intended to constitute professional advice. The content displayed is for informational and educational purposes only. For important decisions (e.g., medical, legal, or financial), please consult a professional.
- Content copyright. Wikipedia is licensed under the Creative Commons Attribution-ShareAlike License (CC BY-SA). This means that content may be reused with appropriate attribution and shared under a similar license.
- Responsible use. Any risk arising from the use of information from this website is entirely the responsibility of the user.

- provide significant coverage: discuss the subject in detail, excluding routine coverage like product launches, staff appointments, or financial reports and listings in databases or listicles;
- are reliable: from reputable outlets with editorial oversight;
- are independent: not connected to the subject, such as press releases, the subject's own website, or sponsored content.
Please add references that meet all three of these criteria. If none exist, the subject is not yet suitable for Wikipedia.