A $1 billion bet on a two-year-old company
Profound announced a $96 million Series C in late February 2026, led by Lightspeed Venture Partners, that values the company at $1 billion. Sequoia Capital, Kleiner Perkins, and other firms also participated, bringing Profound's total funding to more than $155 million. The company was founded in 2024 and is based in New York, which makes the climb to unicorn status unusually fast for enterprise software. Lightspeed framed the thesis as a migration of consumer attention from search engines to answer engines.
Real enterprise traction, not just hype
Profound reports more than 700 enterprise customers, including roughly 10% of the Fortune 500. Named clients cited in coverage include Target, Walmart, Ramp, MongoDB, U.S. Bank, and Figma. The product tracks how brands are mentioned across major answer engines, covering brand mentions, sentiment, and share of voice in AI-generated responses. Specific performance claims, such as large jumps in AI referral traffic, come from the vendor and individual clients, so treat them as illustrative rather than independently audited benchmarks.
A category forms around answer-engine analytics
Profound is the most visible name, but it sits inside a fast-growing field of AI-visibility tools. Semrush has folded AI visibility into its platform, scanning ChatGPT, Gemini, Google AI Overviews, and Perplexity, and surfacing both linked citations and unlinked brand mentions. Mid-market and budget-focused competitors such as Peec AI and Otterly.ai round out the category at lower price points. The common job across these tools is the same: submit large volumes of prompts, then measure whether and how a brand shows up in the answers.
What brands are actually measuring
The core metric is citation and mention frequency across ChatGPT, Gemini, Perplexity, and Claude, tracked prompt by prompt rather than by keyword rank. Teams also watch sentiment and the surrounding context of a mention, since how a brand is described matters as much as whether it appears. Because each assistant has its own sources and citation logic, results vary by platform, which is why side-by-side tracking is the point. Most of these tools diagnose visibility gaps but stop short of fixing them, leaving content, schema, and authority work to the brand's own team.
Why this matters for marketing teams now
Industry estimates for early 2026 put a large share of Google searches as ending without a click, while ChatGPT and Gemini each report user bases in the hundreds of millions. As more buying research happens inside answer engines, being absent from AI responses carries a real cost that classic SEO dashboards do not capture. Funding at this scale signals that measuring AI visibility is becoming a standard line item, not an experiment. The practical takeaway is to start measuring presence across the major assistants before committing budget to changing it.
Key takeaways
- Profound raised a $96M Series C led by Lightspeed at a $1 billion valuation, with more than $155M in total funding for a company founded in 2024.
- It reports 700+ enterprise customers and about 10% of the Fortune 500, including Target, Walmart, Ramp, MongoDB, U.S. Bank, and Figma.
- Answer-engine analytics is now a defined category, with Semrush's AI Toolkit, Peec AI, and Otterly.ai competing alongside Profound.
- The shared metric is brand citation and mention frequency across ChatGPT, Gemini, Perplexity, and Claude, measured per prompt rather than by keyword rank.