Profound raises $180 million to move beyond AI search tracking, reaches $1.8B valuation

Profound has raised $180 million in a Series D funding round co-led by Sequoia Capital and Kleiner Perkins, valuing the marketing software company at $1.8 billion. Announced on September 15, the investment will support its expansion into software that helps marketing teams research, produce content and manage campaigns.

The company says it now serves more than 1,000 enterprise brands, including Comcast, Walmart and The Estée Lauder Companies. It also told TechCrunch that revenue tripled over the past six months. Those are company-reported figures; the funding announcement does not disclose an absolute revenue number.

The round comes less than seven months after Profound announced a $96 million investment at a $1 billion valuation on February 24. It was already developing marketing agents then, making today’s financing an acceleration of that strategy rather than a sudden departure from search analytics.

Profound wants to create the campaign, too

Profound’s search tools show businesses how their brands appear in answers from services such as ChatGPT, Gemini and Perplexity. They track mentions, sentiment and cited sources, running selected prompts repeatedly to monitor changes. That gives marketers a way to investigate, for example, why an AI assistant recommends a competitor or describes their product incorrectly.

Its AI Marketer takes those findings further by identifying opportunities, proposing projects and assigning tasks to software agents. A separate Context Manager draws on company documents, meeting transcripts and internal communications to inform the work.

Advertising is also part of the expansion. Profound says its Ads Studio workflow supports creating, editing and launching campaigns through OpenAI, Google and Meta’s ad managers, with tracking through its own pixel. The company first announced Ads Studio in an invite-only beta on July 7, so the funding should not be mistaken for the product’s launch.

The commercial implication is that Profound can sell into content production and campaign management budgets alongside the money companies allocate to monitoring AI search. Its valuation now accompanies a considerably broader product than a dashboard of brand mentions.

AI referrals already produce measurable revenue

It would be misleading to suggest that Profound customers have no way to connect AI traffic with sales. The company introduced a Google Analytics integration in April 2025 that links AI-originating visits to recorded revenue events. Where the visit and conversion are captured, marketers can see purchases associated with that referral source.

There are customer claims beyond visibility scores, too. A Profound-published case study says skincare company Omnilux’s AI-attributed revenue grew from roughly 1% to 3% of total revenue during its work with the platform. That is a change in revenue share, not evidence that the company’s overall sales tripled. It is also a vendor-published account, rather than an independent test of Profound’s contribution.

Profound’s own research illustrates the remaining difficulty. A July study of more than two million AI conversations and associated browsing activity reported increased brand-site visits after AI assistants mentioned those brands. Its methodology explicitly acknowledges that it did not measure purchases, was not a randomized experiment and could not fully eliminate selection bias.

A retailer could receive more sales from AI referrals as customers increasingly use those services, without every increase being attributable to its optimization work. Establishing the contribution of a tool or campaign requires a credible estimate of what would have happened without it. That is the distinction controlled conversion-lift experiments are designed to examine.

The budget pitch is getting broader

A revealing product announcement arrived a day before the funding. On September 14, Profound introduced Command Center, which reports agent usage and estimated hours saved across a marketing team. Its time-saving calculations use default assumptions about how long work takes, and customers can edit those assumptions.

That gives Profound another route to justifying its subscription. A company may struggle to isolate the sales contribution of appearing in more AI answers while still finding value in producing a usable report or campaign at a lower cost.

The calculation deserves scrutiny, though. An estimate based on completed agent runs needs to account for the time people spend checking, correcting and approving the output. Buyers should compare the cost of finished work against their previous process before treating a dashboard’s “hours saved” figure as a saving.

This broader product also makes Profound’s growth harder to interpret as evidence for a standalone AI-search visibility category. Its published figures do not separate demand for monitoring from demand for content, automation or advertising tools.

For marketers evaluating the platform, that distinction affects what a successful purchase looks like. A visibility-monitoring contract should be judged on the coverage and decisions it improves. A production tool should earn its fee through usable work and demonstrable savings. Where the promise is additional sales, the evaluation needs to account for sales that would have happened anyway.