Draft:Profound (company)
Submission declined on 11 January 2025 by Stuartyeates (talk).
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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 Stuartyeates (talk | contribs) 2 seconds ago. (Update)
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Company type | Private |
---|---|
Industry | Artificial intelligence |
Founded | 2024 |
Founders | James Cadwallader and Dylan Babbs |
Headquarters | New York City, U.S. |
Products | AI search optimization platform |
Number of employees | 10 |
Website | tryprofound.com |
Profound is a privately held artificial intelligence and search engine optimization company headquartered in New York City. The company develops tools for organizations to track and optimize their brand visibility in AI-driven “answer engines,” including chatbots and AI-enhanced search. It was founded in 2024 by James Cadwallader and Dylan Babbs.[1]
History
[edit]Profound was established after its founders met at the South Park Commons startup incubator, with the aim of enabling brands to understand how their products and services appear in AI-generated search results. The company raised US$3.5 million in seed funding from investors including Khosla Ventures, Saga, South Park Commons, and angel investors such as Scott Belsky and Balaji Srinivasan.[1][2]
The startup initially partnered with a major branding agency and later expanded its offerings to additional enterprise clients.[1] By late 2024, Profound began introducing features that estimate user conversation volume in AI chatbots and generative answers, allowing marketers to predict trends and user intent.[3]
Products and Services
[edit]Profound’s cloud-based platform offers analytics and alerts for how AI-based tools (such as ChatGPT, Perplexity AI, Microsoft Copilot, and other chatbot-style search engines) reference brand names, products, and services.[4] It also provides a predictive model that estimates conversation volumes tied to specific keywords or industries, which aims to help marketers plan content strategies for emerging AI search behaviors.[3]
In August 2024, The New York Times profiled Profound’s approach to AI search, describing how the company’s platform evaluates brand mentions in dynamic chatbot interactions.[5]
Reception
[edit]Media outlets such as TechCrunch, Digiday, Search Engine Land, DMNews, and Adweek have covered Profound’s technology. According to Adweek, the company’s tools address a “hair-on-fire problem” for marketers seeking brand alignment in AI-generated search results.[2] In Digiday, the firm’s volume-estimation tool was described as a novel way for brands to analyze user conversations in AI chatbots.[3]
References
[edit]- ^ a b c Szkutak, Rebecca (August 13, 2024). "Move over SEO, Profound is helping brands with AI search optimization". TechCrunch. Retrieved January 10, 2025.
- ^ a b Ostwal, Trishla (August 12, 2024). "Profound Raises $3.5 Million to Help Brands Manage AI Search Presence". Adweek. Retrieved January 10, 2025.
- ^ a b c Bradley, Sam; Swant, Marty (December 20, 2024). "Marketers have a new audience to worry about — large language models". Digiday. Retrieved January 10, 2025.
- ^ Sussman, Garrett (November 27, 2024). "How to monitor brand visibility across AI search channels". Search Engine Land. Retrieved January 10, 2025.
- ^ Roose, Kevin (August 30, 2024). "How Do You Change a Chatbot's Mind?". The New York Times. Retrieved January 10, 2024.
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