Profound has raised $180 million at a $1.8 billion valuation as it expands its AI search marketing platform from brand-visibility analytics into broader marketing execution. The New York startup, founded by James Cadwallader and Dylan Babbs, now combines AI-search measurement with tools for content, fact-checking and agent-driven marketing workflows.
Key Takeaways
- Profound announced a $180 million Series D on September 15, 2026, valuing the company at $1.8 billion.
- Sequoia Capital and Kleiner Perkins co-led the round, while Lightspeed Venture Partners and other existing investors participated.
- Profound says its platform now serves more than 1,000 enterprise brands and more than one-third of the Fortune 100.
- The company is expanding beyond AI brand visibility tracking through AI Marketer, FactCheck, Agents and other marketing tools.
- Profound’s strategy connects AI search data with content creation, optimization and other marketing workflows while keeping human review in the process.
Profound Expands AI Search Marketing After $180M Series D
Profound’s latest funding round puts a larger financial commitment behind its shift from AI-search monitoring into a broader marketing platform. The company announced the $180 million Series D on September 15, less than seven months after closing a $96 million Series C at a $1 billion valuation.
Sequoia Capital and Kleiner Perkins co-led the Series D. Existing investors Lightspeed Venture Partners, Khosla Ventures, Saga Ventures, Evantic and South Park Commons also participated.
The financing accompanies a broader product strategy. Profound began with tools designed to show marketers how their brands appeared in AI-generated answers, including which sources were cited and how competitors were represented.
“Profound started as an analytics platform for marketers to understand how buyers discover their brands through AI,” co-founder and CEO James Cadwallader said in the company’s Series D announcement.
Profound is now extending that data into marketing execution through AI Marketer and specialized agents. The development places the company within a wider market for AI-assisted marketing tools that combine analytics, content operations and automation.
AI Marketer Pushes the Platform Beyond Visibility Tracking
Profound’s original use case centered on measuring AI brand visibility. Marketing teams could track whether their brands appeared in responses generated by answer engines, identify cited sources and compare their presence with competing companies.
AI Marketer expands that model by analyzing Profound’s data, surfacing potential opportunities and helping users act on recommendations they approve. Profound says the system can support tasks across content, search optimization, public relations, communications, competitive analysis and other marketing functions.
Human review remains part of that workflow. Teams can provide company information and marketing materials as context, then review work produced through the platform before it is used.
That distinction is important because Profound does not control which sources an outside AI system ultimately cites. Its products instead give marketing teams data about those responses and tools intended to address gaps identified through that data.
AI Search Creates a Different Visibility Measurement Model
AI-generated answers give marketers a visibility problem that differs from traditional search rankings. Instead of receiving only a page of ranked links, users can receive a synthesized response containing brand names, product information, comparisons and citations.
Profound’s Answer Engine Insights is designed to measure that environment. The platform sends defined prompts to AI answer engines and uses the resulting responses to build datasets showing how a brand is represented. Its current documentation identifies visibility, sentiment, citations, prompts and FactCheck among the analytical areas available to customers.
The approach allows marketers to compare how a brand appears across topics and AI systems rather than treating AI search as a single channel.
That model overlaps with the growing field of answer engine optimization and generative engine optimization strategies, which focus on understanding how information is surfaced and cited in AI-generated responses.
Citation Tracking Shows Which Sources Shape AI Answers
Citation analysis remains central to Profound’s AI search marketing platform. Companies can examine the pages and domains cited in AI responses, then compare that information with their own visibility and competitors’ presence.
This can reveal situations in which a competitor appears frequently for a topic or a third-party source repeatedly influences responses about a company. The resulting data gives marketers a more detailed view than a single overall visibility measure.
Profound also organizes tracked prompts into topics, allowing teams to examine performance around particular products, categories or business priorities. Its documentation says individual prompts can be evaluated using measures including visibility, average position, citation share and executions.
Chime provides one example of how that monitoring can be applied at scale. Inc. reported in September 2026 that the financial technology company was using Profound to track almost 1,000 potential AI prompts across 21 topics.
FactCheck Adds an Accuracy Layer to Brand Monitoring
Profound has also expanded its analytics beyond whether a brand appears in an AI-generated answer.
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The company introduced FactCheck to identify factual claims that AI systems make about a business and compare those claims with information supplied through the customer’s Knowledge Base. The tool classifies supported claims and connects inaccurate information with citation sources that may be contributing to the problem.
Profound says the feature can help teams distinguish between inaccurate information originating from their own outdated material and information associated with third-party or competing sources.
The platform can then connect identified issues to marketing workflows, including updating content or preparing outreach. The company’s approach still depends on how outside AI systems process and cite information, meaning it cannot guarantee that a particular source will appear in subsequent AI responses.
Dynamic Bot Rendering Adds a Technical Layer
Profound has also moved further into the technical side of AI search optimization.
In September 2026, the company added Dynamic Bot Rendering, which detects visits from answer-engine agents and can serve them a fully rendered version of a webpage. Profound says the feature is intended to address content that AI crawlers may otherwise have difficulty accessing when information depends on JavaScript, client-side rendering or user interaction.
Rendering policies can be configured for particular pages, page patterns or domains and can vary by bot. The feature adds website accessibility for AI crawlers to a product suite that previously centered more heavily on measurement, citations and marketing workflows.
Profound has also integrated Google Search Console information into its Pages product, placing conventional search metrics alongside AI citation information. That gives marketers a way to examine traditional search performance and AI-search visibility within the same workflow.
Enterprise Adoption Grows Alongside the Product Expansion
Profound says it now works with more than 1,000 enterprise brands. Its September 2026 announcement identifies Comcast, The Estée Lauder Companies, Walmart, Campari Group, Royal Bank of Canada, Zoom, ServiceNow, Ramp, Cursor, MongoDB and Figma among its customers.
The company also says more than one-third of Fortune 100 companies use the platform. In the same announcement, Profound described its reach as 16% of the Fortune 500. Those figures are company-reported and have not been presented as independently audited market-share measurements.
The customer count has increased alongside Profound’s product scope. In February 2026, when the company announced its Series C, it said it supported more than 700 enterprises and more than 10% of the Fortune 500.
Independent reporting has documented that expansion as well. TechCrunch reported after the Series D announcement that Profound had more than 1,000 enterprise customers and that the company said revenue had tripled during the preceding six months.
Funding Has Accelerated With the AI Search Market
Profound was founded in New York City in 2024 by Cadwallader, its CEO, and Dylan Babbs, its chief technology officer. The company’s funding has accelerated rapidly since its early-stage launch.
In June 2025, Profound announced a $20 million Series A led by Kleiner Perkins. Two months later, it raised a $35 million Series B led by Sequoia Capital.
Lightspeed Venture Partners led the $96 million Series C announced in February 2026, which valued the company at $1 billion. The September Series D then raised another $180 million at a $1.8 billion valuation, with Sequoia Capital and Kleiner Perkins as co-leads.
The financing has followed growing investor attention to companies working in answer engine optimization, generative engine optimization and related AI-search technologies. Forbes reported in 2025 that a group of startups had emerged to help businesses understand and influence how their brands appear in systems such as ChatGPT, Perplexity and Google’s AI-generated search experiences.
The Next Stage Centers on Marketing Execution
Profound’s current product direction connects several stages of AI search marketing within the same platform.
Teams can track how brands appear in AI-generated answers, study citations and competitors, identify inaccurate claims, examine content gaps and use AI-assisted tools to prepare marketing work in response. The company has also broadened the platform into paid advertising, marketing context management and technical website tools.
The shift does not eliminate the limits of AI search optimization. Outside answer engines retain control over how their systems generate responses and choose sources.
Profound’s expansion instead shows how its original visibility-monitoring product is developing into a wider marketing workflow. Its latest financing provides additional capital for that strategy as the company moves from measuring AI search visibility toward helping marketing teams act on the information those measurements produce.
Frequently Asked Questions
What is Profound’s AI search marketing platform?
Profound’s AI search marketing platform helps businesses analyze how their brands appear in AI-generated answers and identify the sources associated with those responses. The platform also includes tools that support content, marketing workflows, fact-checking and other actions based on the resulting data.
How does Profound measure AI brand visibility?
Profound runs tracked prompts across supported answer engines and analyzes the responses to determine how brands and competitors appear. Its platform provides measurements related to visibility, citations, prompts, sentiment and other aspects of AI-generated responses.
Who founded Profound?
James Cadwallader and Dylan Babbs founded Profound in New York City in 2024. Cadwallader serves as co-founder and CEO, while Babbs is co-founder and CTO.
How much did Profound raise in its Series D?
Profound announced a $180 million Series D on September 15, 2026, at a $1.8 billion valuation. Sequoia Capital and Kleiner Perkins co-led the financing, with Lightspeed Venture Partners and several other existing investors participating.
Which companies use Profound?
Profound identifies companies including Walmart, Comcast, The Estée Lauder Companies, U.S. Bank, Zoom, Ramp, MongoDB and Figma among users of its technology. The company says it now serves more than 1,000 enterprise brands.
