Profound, a two-year-old New York company that sells software for getting brands mentioned inside AI-generated answers, said on Tuesday that it raised $180 million at a $1.8 billion valuation. Sequoia Capital and Kleiner Perkins co-led the round. It closed less than seven months after a $96 million Series C that valued the company at $1 billion. In that window Profound nearly doubled its price, added a product line, and disclosed no revenue number at all.
The funding history is the fastest-moving fact in the story. Profound raised a $3.5 million seed in August 2024, a $20 million Series A in June 2025 led by Kleiner Perkins, a $35 million Series B led by Sequoia, the $96 million Series C in February 2026, and now $180 million in September. That is more than $335 million raised since 2024 across five rounds in roughly 25 months. The same two firms have now led three of the four priced rounds, which means the investors setting the September price are largely the investors who set the June and February prices.
What Profound sells is a measurement layer for a channel that did not exist three years ago. Its platform tracks how often ChatGPT, Gemini, Perplexity and Google AI Overviews mention a given brand, in what context, and against which competitors, drawing on what the company describes as more than two billion real user prompts. Traditional SEO tools can tell a marketer where a page ranks. They cannot tell a marketer that an assistant described the product as expensive. That gap is the entire premise of answer engine optimization, or AEO, and Profound has become the category's largest company by capital raised.
The disclosed traction is customer counts rather than dollars. Profound says it now serves more than 1,000 enterprise brands, including roughly a third of the Fortune 100 and 16% of the Fortune 500. Named customers include Comcast, The Estée Lauder Companies, Walmart, Campari Group, Royal Bank of Canada and U.S. Bank, plus technology buyers such as Zoom, ServiceNow, Ramp, Cursor, MongoDB and Figma. The company told TechCrunch its revenue has tripled in the past six months. It has never published an ARR figure, and did not publish one here. A 3x multiple on an undisclosed base is not a number.
The announced use of proceeds points away from measurement and toward doing the work. Profound is pushing a product it calls AI Marketer, an agent that reads a brand's data, identifies gaps in how models describe it, and dispatches sub-agents to write and publish. A companion "Context Manager" ingests knowledge-base files, meeting transcripts and message threads to keep the agent current on positioning. A third product, Ads Studio, lets marketers build and manage paid campaigns across OpenAI, Google and Meta ad systems without leaving Profound. The company also says it will expand an applied AI research lab across New York and San Francisco to post-train models on marketing tasks and build an evaluation benchmark for them.
"As AI becomes a primary interface for search and discovery, marketing is being rebuilt around a new set of workflows," said Ilya Fushman, a partner at Kleiner Perkins, in the announcement. Sequoia partner Anas Biad offered the more circular version: "The speed of enterprise adoption speaks for itself."
Chief executive James Cadwallader framed the expansion as customer-led. "Profound started as an analytics platform for marketers to understand how buyers discover their brands through AI," he said. "Today, they're using our Agents to research, write, and report."
Why it matters
The skeptical read is not that AI answers do not matter. It is that the arithmetic has not arrived yet. One August 2026 analysis of referral data put Google at 87.6% of search referrals and all AI chatbots combined at 0.29%. AI referral traffic has grown fast from a small base, and buyers of high-consideration products increasingly research inside assistants without ever clicking. But a $1.8 billion valuation is priced on the assumption that the curve continues, that the models stay measurable, and that the measuring stays outside the model vendors.
That last condition is the fragile one. Profound's business depends on OpenAI and Google continuing to surface brands in ways an outside tool can observe and influence. Both companies are building their own advertising surfaces inside their assistants. If placement becomes something you buy from the model vendor directly, the optimization layer becomes a reporting dashboard on someone else's ad product, which is roughly what happened to the SEO tool business once Google's paid results took over the top of the page.
The competitive field is already crowded and already consolidating. Bluefish has raised about $68 million, AirOps more than $55 million, and Evertune and Peec have each raised eight figures. Scrunch was acquired by Sitecore. Adobe closed its roughly $1.9 billion acquisition of Semrush in April 2026, which puts an incumbent with distribution into the same category. Meanwhile Profound's own positioning has drifted: the Series D release calls it "the AI platform for marketing teams," a category where Salesforce and Adobe already collect most of the enterprise spend.
What to watch
Whether Profound discloses an ARR figure at the next round, or continues to lead with logo counts and growth multiples. Whether OpenAI's and Google's advertising products treat AEO vendors as partners or as a feature to absorb. Whether the 1,000 enterprise customers renew at expansion pricing once the novelty budget that funded the first year of AEO pilots has to be justified against pipeline. And whether a company that raised five rounds in 25 months can absorb $180 million without the headcount getting ahead of the demand.
“As AI becomes a primary interface for search and discovery, marketing is being rebuilt around a new set of workflows.”— Ilya Fushman, Partner, Kleiner Perkins