Profound sells software that helps marketing teams see how their brands appear in answers from ChatGPT, Gemini and other AI services, then turns the findings into work such as content updates and campaigns. The New York company said it raised a $180 million Series D to widen that system beyond answer-engine optimization and into more of the marketing department.
A team can begin by tracking the questions people ask AI services and measuring whether the brand is mentioned, how it ranks against rivals, which sources are cited and what traffic reaches the company’s site. Profound’s agent analytics also checks how AI crawlers interact with webpages and flags technical problems that can stop content from being read. Marketers can use those signals to identify gaps before asking the software to draft or revise material.
The company’s newer AI Marketer is designed to connect that analysis with execution. It scans the customer’s data and AI answers, identifies an opportunity and assigns narrower agents to research, write or report; a Context Manager draws on uploaded knowledge-base files, meeting transcripts and communications so the output can reflect changing brand positions. Profound says human-review checkpoints let teams approve material before publication.
Profound is selling to enterprise marketing organizations rather than individual consumers. Its site offers a free, limited trial and custom-priced enterprise packages, while agent use consumes credits based on workflow complexity. The company says it now serves more than 1,000 enterprise brands and more than one-third of the Fortune 100, naming Comcast, The Estée Lauder Companies, Walmart, Royal Bank of Canada, Zoom, ServiceNow, Ramp, Cursor, MongoDB and Figma as customers.
The Series D values Profound at $1.8 billion and was co-led by Sequoia Capital and Kleiner Perkins. Lightspeed Venture Partners, Khosla Ventures, Saga Ventures, Evantic and South Park Commons also participated. Profound said the financing came less than seven months after a $96 million Series C; it plans to use the new capital to expand its applied AI lab in New York and San Francisco and evaluate and adapt models for marketing work.
The strategic move is from measuring a brand’s visibility in AI answers to carrying out the work that might change it, including content refreshes, competitive analysis and paid-ad workflows. That puts more of Profound’s credit-based usage model inside customers’ daily work, with a concrete product test: whether Context Manager and human approvals can keep a broader set of automated tasks consistent with each customer’s current information and controls.