Profound
See how often AI answer engines mention a brand and which sources they cite.
Profound Funding History
Profound provides analytics for brand visibility in AI-powered search. Its platform focuses on how brands appear in AI-generated results, giving organizations information about their presence in this search channel.
Company Overview
Founded 2024
Official WebsiteProfound Funding Timeline
Series D
US$180 million
Profound said it would use the capital to broaden its tools for marketing teams and study how AI changes marketing workflows.
Led by Sequoia Capital, Kleiner Perkins. Participation included Lightspeed Venture Partners, Khosla Ventures.
Source · tryprofound.com ↗Series C
$96M · $1B valuation
Profound introduced workflows that use its AI search visibility data to automate tasks across marketing tools.
Led by Lightspeed Venture Partners. Participation included Sequoia Capital, Kleiner Perkins, Evantic Capital, Saga Ventures, South Park Commons.
Source · tryprofound.com ↗Series A
US$20,000,000
Profound raised the round as it built tools to help marketers track and improve how their brands appear in AI-generated answers.
Led by Kleiner Perkins. Participation included Khosla Ventures, NVentures, Saga Ventures, South Park Commons, SV Angel, Andrew Karam, Jordi Hays, Guillermo Rauch, Karim Atiyeh, Jordan Singer, David Senra, Kevin Wang.
Source · tryprofound.com ↗
Profound Founding Team
James Cadwallader and Dylan Babbs started Profound because they expected customers to ask AI assistants about products before visiting company websites. They first built tools that let marketers see when assistants mentioned or recommended their brands.
Profound Products
Profound Company Development
AI Visibility Data Enters the Marketing Workflow
Profound began with a measurement problem: marketing teams could see where they ranked in conventional search but had little visibility into AI-generated answers. Its September 2026 announcement described a broader remit, positioning the platform around the work marketers do after identifying gaps in how AI systems present their brands.
Profound Competitive Landscape
AI Answers as a Separate Measurement Channel
Traditional rank tracking measures where a URL appears for a query. Profound focuses on how a brand appears inside a synthesized answer, where a mention, citation and recommendation can each tell a different story.
FAQ
How does AI answer visibility differ from a conventional search ranking?
An assistant can synthesize multiple sources and mention a brand without displaying an ordered results page. Mentions, citations and traditional positions therefore measure different behavior.
Why can the same prompt produce different brand mentions?
Model versions, retrieval results, location, account context and sampling can affect outputs. Repeated observations are more informative than a single answer.
Does an AI citation guarantee referral traffic?
No. A citation can appear without a click, and analytics may not identify every assistant referral. Visibility and measurable acquisition should be tracked separately.
Does Profound’s financing establish the size of the AI search market?
No. A company round is one capital event. Market-size claims require a defined category and independent revenue or spending evidence.
How should a team design AI visibility monitoring?
Choose prompts tied to real customer questions, record the tested systems and repeat observations over time with consistent definitions of a mention and a citation.
Can visibility software guarantee that an assistant recommends a brand?
No. External assistants control their own retrieval and generation. Monitoring can inform content work but does not guarantee a particular answer.