Hajra Naz
Profound, the New York company that tracks how AI chatbots describe brands, announced on September 15, 2026 that it has raised a $180 million Series D at a $1.8 billion valuation, co-led by Sequoia Capital and Kleiner Perkins. The round arrived less than seven months after the company’s $96 million Series C. Profound says it now serves more than 1,000 enterprise brands, including over one third of the Fortune 100.
Existing investors Lightspeed Venture Partners, Khosla Ventures, Saga Ventures, Evantic and South Park Commons all participated, according to the company’s own announcement. TechCrunch reported that Profound has raised more than $335 million in total since it was founded in 2024.
What the company actually sells
Profound began as an analytics platform. It watches what people ask AI assistants like ChatGPT, Gemini and Perplexity, then reports back on how often a brand gets mentioned, in what context, and how it gets described. The company says that dataset now sits on more than two billion real user prompts.
The funding announcement shows where it is heading next. Profound named three products: AI Marketer, an agent that scans a brand’s data and deploys sub-agents to do the work; Context Manager, which keeps a running synthesis of a company’s positioning and internal knowledge so the agent stays current; and Ads Studio, which builds and manages AI search ad campaigns and tracks them across the OpenAI, Google and Meta ad managers. Named customers include Comcast, Walmart, The Estee Lauder Companies, Royal Bank of Canada, Zoom, Ramp, MongoDB and Figma.
Why investors are paying up now
The argument in the announcement comes down to surface area. When a buyer asks an assistant to compare two products, the assistant is not reading one page. It is pulling from product pages, documentation, review sites, forums, earned media and industry coverage, then forming a view. Profound’s framing is that answer engines will use hundreds of thousands of sources to form an opinion of a single brand.
“Profound started as an analytics platform for marketers to understand how buyers discover their brands through AI,” said James Cadwallader, Co-Founder and CEO, in the announcement. “Today, they’re using our Agents to research, write, and report.”
Part of the money goes to an applied AI lab across New York and San Francisco, where the company says it is building a benchmark for how well frontier models handle complex marketing assignments. Ali Vaghar, Profound’s Head of Data, described marketing as a hard domain for AI precisely because success rests on judgement rather than on an answer being objectively correct.
Is answer engine optimisation a real service line yet?
For anyone selling SEO from Lahore, Karachi or Dubai, the honest read is mixed. A $1.8 billion valuation and a third of the Fortune 100 as customers confirm that enterprise budget for AI search visibility exists and is being spent. That is a genuine signal, and it is the first one in this category backed by disclosed numbers rather than by conference talk.
The catch is that the budget is moving through enterprise software priced for enterprises. A freelancer is not going to resell a Profound seat to a local retailer. What travels down-market is the underlying work, and most of it does not need the tool at all: auditing how assistants currently describe a client against named competitors, fixing thin or contradictory product documentation, getting a client listed and accurately described on the review and comparison sites that assistants actually read, and writing the specific comparison pages that answer the questions buyers type into a chat box.
That work is closer to old-fashioned digital PR and content cleanup than to keyword ranking, which is the same conclusion we reached in why simple SEO tactics will not work for lasting AI search visibility.
Where this leaves independent SEO sellers
There is a timing advantage here that will not last. Enterprise tooling is arriving before most small and mid-sized clients have any idea that AI assistants describe them, often inaccurately, to buyers every day. A freelancer who can show a client a screenshot of ChatGPT recommending a competitor has a conversation that sells itself, and no licence fee is required to have it.
The window closes when the tooling gets cheap enough to reach small business owners directly, which is exactly what a company valued at $1.8 billion is funded to do. The useful move in the meantime is to build the audit process now, charge for the judgement rather than the dashboard, and treat this as an extension of a service line rather than a replacement for one.
