Profound Secures $180M Series D at $1.8B Valuation, Doubling Worth in 7 Months

Profound Doubles Valuation with $180M Series D Funding

Profound, officially Cooper Square Technologies Inc., announced it has secured $180 million in Series D funding at a $1.8 billion valuation, nearly doubling its worth from the $96 million Series C round just seven months ago in February.1

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Sequoia Capital and Kleiner Perkins co-led the round, with participation from existing investors including Lightspeed Venture Partners, Khosla Ventures, Saga Ventures, Evantic, and South Park Commons.3

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The latest funding brings total capital raised since the company's 2024 launch to more than $335 million.2

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This marks the third round where Sequoia Capital and Kleiner Perkins have led investments, signaling strong confidence in the marketing technology startup's trajectory in the rapidly evolving AI search optimization space.

Answer Engine Optimization Addresses Shift in Marketing Landscape

The two-year-old New York-based company has positioned itself at the forefront of Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO), helping brands navigate the fundamental shift from traditional search to AI-driven search results.1

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The enterprise marketing platform enables companies to track and improve how they appear in AI-generated answers from ChatGPT, Perplexity, Gemini, and Google AI Overviews.2

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Unlike traditional search where companies could see their ranking in a list of results, AI search presents users with written answers, creating a gap that traditional SEO tools cannot address. Profound fills this void by providing visibility in AI answers and allowing marketing teams to understand how AI models mention their brands and in what context.2

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Platform Identifies Consumer Prompts and Optimizes Brand Visibility

Profound's marketing software for AI search identifies the specific prompts that a brand's target buyers use to research products, then determines ways to increase how frequently the brand appears in chatbot responses.3

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The platform surfaces popular prompts from recent periods and identifies patterns within those consumer prompts. Companies can use this intelligence to align their website content more closely with users' AI queries, leading chatbots to cite their content more often. Profound sources its prompt data from consumer panels—groups of users who share their AI queries with market researchers through a double opt-in process, with personal data filtered out for privacy.3

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The platform also enables companies to verify whether AI prompt responses describe their products accurately and performs sentiment analysis to measure consumer sentiment around each offering and identify weak points.

Rapid Growth with 1,000+ Enterprise Customers

Profound has demonstrated significant traction with revenue increasing 3x in the past six months and a customer base exceeding 1,000 enterprise clients.1

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Notable customers include Comcast, The Estée Lauder Companies, and Walmart, reflecting adoption across diverse industries. While the company has not disclosed specific revenue figures, the unicorn valuation and rapid fundraising pace suggest investors are betting heavily on the category's potential.2

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The shift driving this growth has been underway throughout the year, with Google transforming its search results into more of an answer engine and zero-click answers reducing traffic to publishers. As marketing budgets follow consumer attention toward AI search, Profound offers capabilities that traditional SEO tools cannot provide.

AI Agents and Automated Marketing Capabilities

Beyond AI search optimization, Profound is expanding into AI agents territory, tracking how automated software browses the web as more website reading becomes automated rather than human.2

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This positions the company for a future where AI agents like Meta's recently launched Muse—designed to book, buy, and negotiate on behalf of users—become commonplace. Profound has built its own AI agents that monitor brand mentions and can suggest or, in some cases, autonomously make changes when a company's visibility drops.2

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These agents integrate with tools like Gmail and Slack, working in a company's own voice. The platform's Aim feature autonomously plans AI visibility initiatives, and additional tools can automatically generate chatbot ads.3

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Chief Executive Officer James Cadwallader, who co-founded Profound, explained that the company employs "forward-deployed marketing engineers" working alongside the technology, a role he describes as "becoming one of the most important roles in marketing."2

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Future Plans: Post-Training AI Models and Competitive Landscape

Profound plans to use its newly raised capital to post-train AI models specifically for marketing use cases and develop benchmarks for measuring how effectively these models automate marketing tasks.3

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The research initiative is expected to produce technologies that enhance the platform's capabilities. The company operates in an increasingly crowded space where startups are building marketing solutions around AI while established players like Salesforce and Adobe still control much of the enterprise marketing platform market. Competitors include Clay, valued at $7.1 billion after expanding from sales into marketing, and Higgsfield AI, which sells AI video to corporate social teams.2

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However, a fundamental risk exists that none of these companies can fully control: their business model depends on AI models continuing to mention and describe brands in ways that can be measured and influenced, making their success contingent on the evolving behavior of third-party AI systems.