Profound

Profound is built on a single wager: that people have stopped Googling and started asking. When a shopper opens ChatGPT or Perplexity to figure out what to buy, an AI answer becomes the first impression of a brand, and most companies have no idea what it says. Profound measures that answer, tells you why it reads the way it does, and hands you agents to change it.

The company was founded in August 2024 in New York by James Cadwallader and Dylan Babbs, who met at South Park Commons. Roughly eighteen months later it was a unicorn, raising a $96M Series C at a $1B valuation. Whether Answer Engine Optimization becomes a real budget line or a footnote to SEO is the open question, but Profound got there first and raised like it.

Profound watches how the big AI assistants describe, rank, and cite a brand, then gives marketers the tools to move those answers. It captures responses straight from the browser, the same screen a customer sees, rather than pulling from model APIs, so the visibility data reflects the real consumer experience instead of a sanitized backend one.

The platform runs the full loop: measure where you show up across ChatGPT, Perplexity, Gemini, Copilot, Claude, and more, see what real people are asking with Prompt Volumes, track how AI crawlers hit your site, then deploy agents to write and publish content aimed at the gaps. The pitch is that a team can diagnose an AI visibility problem and act on it without leaving one tool.

For 25 years, marketers knew how discovery worked: rank on Google, win the click. AI assistants broke that. Answers get synthesized from sources a brand never chose, recommendations happen without a click, and no analytics tool built for the old web can see any of it. GA4 does not tell you that GPTBot crawled your pricing page or that ChatGPT is quietly steering buyers to a competitor.

Profound attacks that blind spot from both ends. It surfaces what AI engines actually say and cite about you, and it exposes the crawler and referral traffic that traditional analytics miss entirely. Then it closes the loop with content agents so the finding turns into a fix, not just another dashboard.

Profound sells up-market. Its core buyers are enterprise marketing, SEO, and communications leaders at large brands, plus the agencies managing AEO across a roster of clients. More than 700 companies use it, including better than 10% of the Fortune 500, spanning consumer goods, financial services, retail, pharma, and B2B tech.

The pricing tells the same story. A self-serve Starter plan exists for smaller teams testing the waters, but the real product, with multi-engine tracking, custom prompts, and dedicated support, is aimed at organizations with a budget and a mandate to defend their brand in AI search. That focus is also the risk: it is a hard sell to anyone smaller than an enterprise.

The anchor product is Answer Engine Insights, which tracks share of voice, sentiment, citations, and competitive ranking across the major AI engines. Around it sits Prompt Volumes, a dataset of hundreds of millions of real user conversations that shows what people are actually asking, and Agent Analytics, which watches how AI crawlers like GPTBot and OAI-SearchBot discover and revisit your pages.

The newer bet is Profound Agents: autonomous workers that draft content, generate AEO-optimized FAQs, monitor trends, and run reporting, all built on top of the visibility data. A Shopping module extends the same idea into ChatGPT's commerce results. The strategy is to own the whole arc from insight to action so teams stop exporting data into a pile of other tools.

Profound is enterprise SaaS with a self-serve on-ramp. The published plans are Starter at $99/month for ChatGPT-only tracking and 50 prompts, Growth at $399/month for three engines and 100 prompts, and a custom Enterprise tier that unlocks up to ten engines, multiple brands, SSO, and a dedicated specialist. All self-serve plans bill annually with two months free.

The agents run on a separate credit model. Each agent run consumes credits based on complexity, plans come with a monthly allotment (100 on Starter, 400 on Growth), and going over means either overage billing or a hard pause, your choice. It is a clean split: pay a subscription to see, pay by usage to act.

AEO went from a niche to a swarm almost overnight, and Profound now shares the field with Peec AI, Otterly, and a long tail of cheaper trackers. Reviewers consistently slot Profound as the enterprise pick: the deepest share-of-voice and citation analysis, the widest engine coverage, and the biggest prompt dataset, paired with the highest price and the most complexity.

Its real moat is the data and the loop. Browser-captured answers, a panel of hundreds of millions of consented conversations, and billions of server-log records are hard to copy, and folding execution agents on top means Profound is selling an outcome, not just a dashboard. The knock is the flip side of its strength: too heavy and too expensive for the mid-market, which is exactly where rivals are winning.

Profound puts real volume on the table: more than a billion citations and 10 million prompts analyzed daily, plus 30 billion crawler visits tracked. Those are the metrics that justify the share-of-voice scores it sells, since AI answers change every time you ask, so it runs tracked prompts daily and averages the results.

The customer roster is the other proof point. Named accounts include Target, Walmart, Figma, MongoDB, Ramp, U.S. Bank, Chime, DocuSign, Indeed, Charlotte Tilbury, Plaid, Deel, and Coterie, and case studies claim results like Ramp lifting AI brand visibility 7x in accounts payable and Zapier becoming the top-cited domain for its most competitive prompts. These are company-stated wins, but the customer names are real and the funding market clearly bought the story.

The recurring praise is about depth. Reviewers call Profound the most complete tool in the space, with the strongest share-of-voice analysis, the broadest engine coverage, and a prompt dataset nobody else matches. One customer summed up the buying decision as trying the others and finding Profound the obvious choice.

The recurring criticism is just as consistent: it is expensive and it is heavy. Third-party comparisons repeatedly flag that Profound is a poor fit for smaller teams, that the enterprise complexity is real, and that mid-market brands are better served by cheaper tools like Peec or Otterly. The verdict across review sites is clear enough: if you are a Fortune 500 team with a six-figure AEO budget, buy it; if you are not, look elsewhere.

Profound raised a $96M Series C at a $1B valuation in February 2026, led by Lightspeed Venture Partners with Sequoia, Kleiner Perkins, and others joining. That capped more than $155M raised across four rounds in roughly eighteen months, from a Khosla-backed seed through a $20M Kleiner-led Series A and a $35M Sequoia-led Series B.

The cap table reads like a bet on a new category: Lightspeed, Sequoia, Kleiner Perkins, Khosla Ventures, NVIDIA's NVentures, Saga Ventures, South Park Commons, and SV Angel. Reaching unicorn status before its second birthday is the headline, but it also sets the bar. A $1B price now has to be justified by AEO becoming a durable budget line, not a passing reaction to ChatGPT.

Profound has the rare combination of a first-mover position, a defensible data moat, and a marquee customer list in a space that did not exist two years ago. If AEO becomes a permanent line in the marketing budget, the company that measures it best and acts on it fastest is positioned to win big.

The risks are structural. The category itself is unproven, well-funded rivals are undercutting on price in the mid-market, and Profound's enterprise-heavy model leaves the broad middle exposed. The $1B valuation assumes AI search is the new front door and that brands will pay to defend it. That bet looks smart today; it has to stay true for years for the price to hold.

Profound runs lean and fast across four cities: New York, San Francisco, London, and Buenos Aires. It is unapologetically in-office, five days a week, on the theory that proximity sharpens a young team defining a brand-new category. The stated values are terse and telling: fractal speed, obsessive craftsmanship, and clear, egoless communication that favors progress over being right.

The culture reads merit-driven rather than tenure-driven, with impact framed as the thing that sets your trajectory. Design engineering carries unusual weight here because co-founder Dylan Babbs came up as a design engineer, so craft and taste are treated as first-class engineering concerns. The company hires aggressively across engineering, AI/ML, go-to-market, and customer-facing roles, concentrated in New York with a growing SF and international footprint.

Profound discloses base bands across most role families, all annual and mostly in US dollars. Engineering roles land roughly in the $110K to $300K range, product sits high at $160K to $260K, and go-to-market and operations fill in beneath, with a single UK sales band posted in pounds.

Base is only part of it. The careers page leads with strong base salary plus significant equity in a company that scaled from seed to Series C in about 16 months, and sales roles carry commission on top. For a startup this young, the equity story is the pitch as much as the cash.

The registered entity behind the brand is Cooper Square Technologies, Inc., doing business as Profound. That is worth knowing, because the marketing never uses the legal name and the company sells hard into regulated enterprises that need it.

On the trust side, Profound is SOC 2 Type II compliant, offers SSO via SAML or OIDC, and enforces fine-grained role-based access, with daily automated backups retained for a week. It runs a documented vulnerability reporting program scoped to its domains with a safe harbor for good-faith researchers. When it processes data on a customer's behalf, the customer is the controller and Profound acts as processor under contract, the standard B2B posture that lets a Fortune 500 legal team sign off.

The coverage tracks one fast arc: a startup that named a category, signed enterprise logos, and hit a $1B valuation before its second birthday. The February 2026 Series C dominated the headlines, framed against the same argument Profound keeps making, that AI is rewriting how brands get discovered for the first time in a generation.