Profound helps brands understand and optimize their presence in AI answer engines like ChatGPT, Perplexity, and Google AI Overviews. Its platform analyzes AI-generated results to show where a brand appears, how often competitors show up, and how content influences AI recommendations, then provides workflows for research and marketing-strategy planning. Profound differentiates itself by focusing on enterprise AEO/GEO visibility, backed by a large customer base and rapid growth, with support from major investors. The goal is to help brands own their visibility in AI answers and guide content and marketing decisions to improve how products are shown in AI-generated responses.
Company Size
201-500
Company Stage
Series D
Total Funding
$334.5M
Headquarters
New York City, New York
Founded
2024
See people who can refer or advise you
Help us improve and share your feedback! Did you find this helpful?
401(k) Retirement Plan
401(k) Company Match
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Unlimited Paid Time Off
Flexible Work Hours
Remote Work Options
Paid Vacation
Paid Holidays
Hybrid Work Options
Stock Options
Company Equity
Wellness Program
Mental Health Support
Gym Membership
Phone/Internet Stipend
Home Office Stipend
Professional Development Budget
Conference Attendance Budget
Training Programs
Tuition Reimbursement
Tuition Reimbursement
Unveilr AI raises pre-seed from AJVC at ₹16.7 cr valuation. Unveilr AI has raised pre-seed funding from AJVC at a ₹16.7 crore valuation. The amount was undisclosed, but AJVC's standard ₹1.5 crore for 9% divides to exactly that number. Unveilr AI, a Mumbai company that tries to get brands named inside ChatGPT, Perplexity, Gemini and Claude answers, has raised pre-seed funding from Aviral Bhatnagar's AJVC at a ₹16.7 crore valuation. The amount was not disclosed. It is, however, derivable. AJVC's standard pre-seed deal is ₹1.5 crore for 9%, and ₹1.5 crore at 9% implies a post-money valuation of ₹16.67 crore. That is the ₹16.7 crore figure, to the decimal. The pattern holds across the portfolio too: Multibagg AI, Mindcase and Slayd each raised exactly ₹1.5 crore from the same fund. So this is almost certainly a ₹1.5 crore cheque on house terms. That matters because it sets the altitude. AJVC closed its maiden fund at ₹200 crore and writes roughly the same cheque into every company, which makes it a volume business: 25 to 35 companies in, a target of around 90 over the fund's life, and a founder who ran enterprise software and AI investing at Venture Highway before setting up on his own. Being backed by AJVC is a signal about stage, not about a bespoke conviction bet. Answer engine optimisation exists because an AI answer behaves differently from a results page. Ten blue links give a brand a chance at position seven; an AI answer names two or three companies and stops. Everyone else is invisible, not merely further down. That is a genuine structural change in how buyers shortlist, and it has produced a real market in under two years. It is also a market with a very expensive top end. Profound raised a $96 million Series C led by Lightspeed, with Sequoia and Kleiner Perkins participating, at a $1 billion valuation, making it the category's first unicorn. Peec AI, founded in Berlin in early 2025, has raised about $30 million across seed and Series A. AthenaHQ has raised $2.7 million. Meanwhile Semrush, Ahrefs and Moz have all built or bought AI visibility features, and Adobe, Salesforce and HubSpot are folding the capability into their platforms. Unveilr enters that at a valuation of roughly $1.9 million. Read quickly, that gap looks fatal. Read properly, it is a different business. Profound and Peec sell software: a dashboard, a subscription, no humans in the loop. Unveilr pairs its own agents with SEO and AEO specialists who then write the content and do the technical work, and it measures itself on leads delivered rather than on visibility scores. That is an agency with proprietary tooling, and agencies are priced on people rather than on revenue multiples. A ₹16.7 crore valuation for an eight-month-old services business is unremarkable, where the same number attached to a SaaS platform trying to catch Profound would be nonsense. The two companies are not really competing for the same thing, which is the point most coverage of this category keeps missing. The open question is which one it intends to become. Services revenue is real revenue and it arrives early, but it scales with headcount and it does not compound the way a software subscription does. The founder's own stated thesis is about compounding. What the company says it has done. Unveilr reports that for an Indian B2B legal services platform it lifted AI-sourced traffic about 4.7 times and leads five times, with roughly 80% more ChatGPT citations, and that for one direct-to-consumer brand organic search now drives about 27% of total revenue. Neither customer is named and neither figure is independently verifiable, which is the normal state of agency case studies rather than a mark against these ones. The company says customers typically see movement inside the first month. "A buyer today asks ChatGPT which lawyer, clinic or software to choose and gets two or three names back. If a brand isn't one of them, it has lost that lead before its website ever loads," said Sanditya Srivastava, founder and chief executive. "Referrals and paid campaigns bring in customers, but they don't compound. Organic visibility does." Aviral Bhatnagar framed the investment around usage inside his own portfolio. "Unveilr's strong adoption in our large AJVC portfolio is a sign of its general-purpose utility," he said. There is something concrete behind that: Multibagg, an AJVC company that raised its own ₹1.5 crore from the fund, sits among the customer logos on Unveilr's site alongside LexComply, Advarisk and Caredale. It is also a bounded signal, because a fund's portfolio companies are a friendly first market and adoption there is easier to win than adoption outside it. Where it goes next. The money funds engineering capacity to widen what the agents do, and a bigger sales team covering India, the UAE and the United States. The company launched in February 2026, which makes it roughly eight months old, and says its team combines IIT alumni with SEO and AEO specialists. It has been named company of the year in AI search by siliconindia and listed in Inc42's startups to watch. For anyone tracking this space, the useful comparison is not Unveilr against Profound. It is whether the Indian, UAE and US mid-market will pay for execution rather than dashboards, in a category where the tooling is commoditising fast and the incumbents are bundling it in free. The services layer is the part software cannot copy quickly. It is also the part that gets squeezed when visibility tracking becomes a checkbox inside a platform a brand already pays for. Plenty of Indian operators are already selling this service without a fund behind them, which tells you the demand is real and the barrier to entry is not. What ₹1.5 crore buys is a head start on turning that service into a product, and roughly eighteen months to prove it, which is what this year's funding data suggests a pre-seed now has to show before anyone writes the next cheque.
Profound raises $180 million in Series D at $1.8 billion valuation. September 16, 2026 AI marketing startup Profound has raised $180 million in a Series D funding round at a valuation of $1.8 billion, reaching unicorn status less than seven months after its previous funding round. The latest investment comes as businesses increasingly look to understand and improve how their brands appear across AI-powered search and answer engines. The Series D was co-led by Sequoia Capital and Kleiner Perkins, with existing investors including Lightspeed Venture Partners, Khosla Ventures, Saga Ventures, Evantic and South Park Commons also participating. The new round follows Profound's $96 million Series C announced earlier this year. Profound initially built an analytics platform that helped marketers understand how consumers discover brands through AI systems. The company has since expanded its platform beyond analytics, offering tools that allow marketing teams to research, create and execute campaigns using AI. The startup operates in the emerging area of Answer Engine Optimisation (AEO) and Generative Engine Optimisation (GEO), which focuses on helping brands improve their visibility as consumers increasingly use AI systems for search, product research and brand discovery. Profound's platform is designed to help businesses understand what people ask AI systems and how those systems respond about their brands. Profound said it now serves more than 1,000 enterprise brands, including Comcast, The Estée Lauder Companies, Walmart, Campari Group and Royal Bank of Canada. Its customer base also includes technology companies such as Zoom, ServiceNow, Ramp, Cursor, MongoDB and Figma. The company said its platform is used by more than one-third of Fortune 100 companies. The company has also expanded its product offering with an AI Marketer designed to work alongside marketing teams. The system can analyse brand data, examine AI-generated answers, identify opportunities and deploy specialised agents to perform marketing-related tasks. Profound's AI Marketer is supported by its Context Manager, which brings together information such as company knowledge-base files, meeting transcripts and communication threads. According to the company, the system uses this information to maintain an understanding of a company's brand context and working style as those elements evolve. The company has also introduced Ads Studio, which enables marketers to create, launch and manage AI Search advertising campaigns. The platform is designed to bring organic and paid AI-search activities together while allowing marketers to track campaign performance and make changes across campaigns. Profound plans to use the new funding to expand its applied AI research operations in New York City and San Francisco. The company said its research teams will study how advanced AI models perform on marketing-related work, evaluate their capabilities and develop models specifically for marketing applications. The research effort will also include the development of a benchmark for evaluating AI systems on complex marketing assignments. Profound said the benchmark will assess whether models can understand a business, evaluate competing market signals and produce work across different marketing functions. The latest funding follows rapid growth at the company. Profound said its revenue has increased threefold over the past six months, while its enterprise customer base has grown to more than 1,000 brands. The company's latest round therefore comes at a time when its platform is expanding from AI-search analytics into a broader AI platform for marketing teams. With the Series D, Profound has raised fresh capital to expand its AI research, develop its marketing-focused agents and broaden the capabilities of its platform. The $1.8 billion valuation also represents a significant increase from the $1 billion valuation associated with its $96 million Series C earlier this year. - Advertisement -
Profound hits $1.8B valuation as AI search marketing becomes essential infrastructure. Profound just printed a $1.8 billion valuation on $180 million of fresh Series D capital, according to UA.NEWS. Winston Abernathy, Capital & Tech Realist·updated September 16, 2026 The structure - a late-stage round at a premium mark - signals that investors are pricing the company as infrastructure for the AI-search era rather than another feature plug-in in the marketing stack. At this scale, the round functions as a category statement, not a funding event. The mechanics. * Round size: $180M Series D * Post-money valuation: $1.8B * Category: enterprise marketing software * Product: generative engine optimization - tooling that helps brands surface inside LLM-driven search outputs A Series D at this scale puts Profound in the bracket where founders typically stop diluting and start structuring secondary liquidity, strategic M&A optionality, or pre-IPO positioning. The fact that this is Series D - not B or C - tells Wealthyboss institutional conviction already exists in the cap table. Capital is no longer underwriting a product bet; it is underwriting a market position. The $1.8B post resets the GEO category on dollar terms alone. Why the bid. UA.NEWS frames the raise as a response to surging demand for AI engine optimization tools. The underlying logic is structural: generative search is redistributing attention away from blue-link SERPs, and brands need a measurable way to remain visible inside LLM-driven outputs. This is the SEO playbook rewritten for a different interface - same mechanics, a different algorithm. The $1.8B valuation places Profound alongside mature martech consolidators that took a decade to compound revenue. The implicit thesis: GEO will compress that timeline because the underlying distribution shift is faster than search engine adoption was in the early 2000s. Brands cannot afford to wait for organic experimentation; they are paying for tooling now. The verdict. Viable, with one condition. The raise is a capital event, not a revenue milestone. The $1.8B tag will hold only if GEO becomes a permanent line item in the CMO budget - the same way SEO became one after 2010 and paid media became one before it. The capital rotation now chasing category leaders, including vehicles like Volition Capital's $950M Fund VI, confirms that growth equity is treating AI-search infrastructure as a thesis-grade allocation rather than a thematic tilt. Until Profound's recurring revenue scales into the valuation, the mark is a bet on category formation, not category maturity. For founders and operators in the same lane: the AI-search layer is now priced as core infrastructure, and the next 18 months of contract velocity will determine whether that price is defended - or repriced.
Profound raises $180M to expand AI platform for marketing teams. Published on: Sep 16, 2026 Profound has raised $180 million in a Series D round at a $1.8 billion valuation as the AI-search company expands from visibility analytics into an agentic platform designed to execute marketing work across research, content, advertising and optimization. Profound is expanding its ambitions beyond helping brands understand how they appear in AI-generated search results. The company has raised $180 million in Series D funding at a $1.8 billion valuation, with Sequoia Capital and Kleiner Perkins co-leading the round. The financing comes less than seven months after Profound's $96 million Series C. Existing investors including Lightspeed Venture Partners, Khosla Ventures, Saga Ventures, Evantic and South Park Commons also participated. TechCrunch independently reported the financing and valuation. Profound says the new capital will support product development and applied AI research as it expands its platform for marketing teams. The company reports that it now serves more than 1,000 enterprise brands, including Comcast, Walmart, The Estée Lauder Companies, Zoom, ServiceNow, Figma and MongoDB, and says more than one-third of the Fortune 100 use its platform. The company's evolution reflects a broader change in AI marketing software. Profound initially focused on helping businesses understand how consumers discover brands through AI search systems. It is now positioning AI Marketer as an agent orchestrator that can interpret those insights and perform marketing tasks. AI Marketer analyzes brand data and AI-generated answers, identifies opportunities and can deploy specialized sub-agents to execute work. Profound says the system can support activities ranging from competitive research and content refreshes to earned-media discovery, paid advertising analysis and campaign optimization. A related product, Context Manager, is designed to provide AI Marketer with persistent organizational context. It synthesizes information from knowledge-base files, meeting transcripts and communication threads so that the agent can incorporate a company's positioning and working practices into its outputs. That context layer is significant because enterprise marketing work rarely depends on isolated prompts. Campaign decisions typically require knowledge of positioning, products, competitors, target audiences, previous decisions and brand guidelines. Profound is also connecting organic AI-search optimization with paid media through Ads Studio. The company says marketers can create and manage AI-search advertising campaigns, make campaign-wide edits, analyze performance and optimize bidding across OpenAI, Google and Meta advertising environments. The strategy reflects an emerging view of AI search as a marketing channel rather than simply an analytics problem. As consumers use systems such as ChatGPT, Gemini and Perplexity for product discovery, brands have to consider how their information is represented across a wider collection of third-party sources. That creates a substantially larger operational workload. Product pages, reviews, editorial coverage, social content, documentation and other sources can all influence how an AI system constructs an answer about a company. Profound's response is to combine visibility measurement with agents capable of acting on the resulting intelligence. The timing aligns with broader industry research. Gartner reported in May 2026 that marketing leaders expect AI-driven automation of marketing work to increase from 16% in 2026 to 36% by 2028. Gartner also found that only 30% of surveyed CMOs considered their organizations mature or fully developed in AI readiness. The challenge, therefore, is moving from AI experimentation to repeatable workflows. Profound is betting that specialized agents, persistent context and proprietary marketing data can provide that bridge. The company also plans to use the new funding to expand its applied AI research teams in New York and San Francisco. Its research program will evaluate how frontier models perform on complex marketing assignments and develop benchmarks for capabilities such as business understanding, market-signal analysis and cross-functional marketing execution. Market landscape. Marketing software is moving from AI-assisted features toward agentic workflows. Gartner's 2026 research identifies agentic AI as an emerging area where marketing organizations are attempting to move beyond pilots and connect AI investments to measurable business outcomes. Profound sits at the intersection of answer engine optimization, generative engine optimization, marketing intelligence and AI agents. The competitive landscape includes platforms focused on AI-search visibility as well as broader marketing suites adding AI assistants and agents. The distinction is increasingly about what happens after an insight is generated. Visibility reporting can identify a problem; agentic software attempts to turn that finding into research, content, advertising or optimization work. Strategic outlook. Profound's funding round signals continued investor interest in software designed around the emerging AI-mediated discovery environment. The company's expansion from analytics into execution also reflects a wider change in marketing technology architecture. Instead of adding another dashboard to an existing stack, agentic platforms are attempting to become an operational layer that coordinates multiple tasks across existing systems. That model raises practical questions around brand governance, accuracy, permissions and measurement. Marketing teams will need to determine which activities agents can execute independently, which require human review and how the resulting work should be evaluated. Profound's research investment suggests that model capability and evaluation will become part of that equation. As marketing agents take on more complex assignments, the quality of the underlying context and the ability to measure outputs could become as important as raw model intelligence. Top insights. * Profound's $180 million Series D values the company at $1.8 billion as it expands from AI-search analytics into broader agentic marketing workflows. * AI Marketer is designed to interpret brand intelligence and deploy specialized agents across research, content, competitive analysis, advertising and campaign optimization. * Context Manager gives Profound's marketing agent persistent organizational information from knowledge bases, meetings and communications to support more contextual work. * Ads Studio connects organic AI-search strategy with paid campaigns across OpenAI, Google and Meta, bringing two increasingly connected discovery channels together. * Gartner expects AI-driven automation of marketing work to more than double from 16% in 2026 to 36% by 2028.
Profound raised $180m. Here's why Profound is already its AI visibility platform of choice. Profound just raised $180m. The AI visibility platform Crucible already work with closed a Series D this month at a $1.8bn valuation, as reported by TheNextWeb, co-led by Sequoia Capital and Kleiner Perkins, with Lightspeed Venture Partners and Khosla Ventures returning as investors too. That's roughly double what the company was worth in February, and it takes total funding since its 2024 founding past $335m. When the AI visibility platform underneath one of your service add-ons closes a round like that, it's worth explaining why Crucible chose it deliberately, and what it now means for your account. What the funding round actually means. Profound is a two-year-old, New York-based company built for what's increasingly being called AEO, or AI answer engine optimisation. Rather than showing where a brand ranks on a page of links, it tracks how often companies get mentioned inside AI-generated answers themselves, across ChatGPT, Perplexity, Gemini and Google AI Overviews, along with the context each mention appears in. That's a genuinely different job to traditional rank tracking, and it's the reason Crucible brought them into its own stack rather than trying to stretch existing SEO tools to cover it. The round matters for a practical reason too. Profound is now building out agent-level monitoring: tracking how AI agents (not just chatbots) read and act on a company's website, and building its own agents that can flag or fix visibility issues automatically. $180m of fresh capital, backed by two of the investors who've now led three of the company's four rounds, is a strong signal that development keeps accelerating rather than stalling out. For construction, manufacturing and property clients whose enquiries increasingly start with an AI-generated answer rather than a Google search, that's exactly the ground its SEO and AI Discoverability work is built to cover. Why Crucible chose Profound as its AI visibility platform partner. Every AI visibility platform on the market right now has gaps, largely because the underlying AI search behaviour is still moving fast. Crucible picked Profound because it covers the broadest set of AI models in one place, gives Crucible prompt-level detail rather than just a mention count, and tracks competitive win rate (how often you're mentioned without a competitor sitting in the same answer). That's a sharper picture than the alternatives Crucible use elsewhere in its stack, most of which are built primarily for traditional search and have bolted AI tracking on afterwards. It also solves a real problem Crucible has had reporting on AI visibility for enquiry-led businesses. Semrush, Google Search Console and Bing Webmaster Tools are all improving here, but none of them yet give a complete or consistent picture, and a platform built specifically for this job is a different proposition to reporting bolted onto general SEO tools that weren't designed for it. It's why prompt-level AI tracking is becoming a core part of how Crucible run SEO for construction and property clients, not a bolt-on extra. What this means for your account. As of now, Profound access sits outside its standard SEO and AI visibility retainers as an optional addition, rather than something folded into every account by default. That's deliberate. Not every client needs prompt-level AI tracking yet, and Crucible'd rather offer it where it earns its place than pad out a retainer with it. What you get with it: mention and citation tracking across ChatGPT, Perplexity, Gemini and Google AI Overviews, prompt-level analysis of exactly how your brand is described (or not described), and competitive win-rate reporting against named competitors. Layered on top, its team turns that data into an actual content and technical plan, rather than leaving you with a dashboard and no next step. Because Crucible work with Profound directly, clients get this at a preferential partner rate rather than paying standalone list price. If you want to know whether it's a fit for your account and what it costs, get in touch and Crucible'll talk it through. It sits alongside its existing SEO and AI Discoverability services, so if you're not yet on one of those, that's the natural starting point.