The question facing every communications operator over the next thirty-six months is which venture funds are positioned to define the AI communications category. The capital that backs a category writes its eventual market structure. The funds that lead the rounds choose the winners, set the valuations, install the boards, and pull the strategic talent.
This series profiles the partners and firms doing the work. Each piece takes a fund, a thesis, and a position — what they have backed, what they have passed on, and how the bets they have placed shape the category.
The series opens with Sequoia Capital and partner Anas Biad because Sequoia made the largest brand-name bet in pure-play GEO before the category had finished forming, and because the firm's positioning of that bet — answer-engine marketing as a once-in-a-generation platform shift — sets the frame the rest of venture is now operating inside.
The firm
Sequoia Capital needs no profile. The firm's portfolio across its sixty-plus-year history includes Apple, Cisco, Google, Oracle, Nvidia, PayPal, Stripe, Airbnb, WhatsApp, Instagram, DoorDash, Snowflake, ServiceNow, and OpenAI. A Sequoia term sheet is a category-defining event. When Sequoia leads, the rest of the venture market reprices.
The firm's institutional thesis on AI is not subtle. Sequoia has been one of the loudest voices arguing that AI represents a foundational platform shift rather than an incremental technology cycle — comparable to mobile, comparable to the cloud, comparable to the original commercial internet. The question for Sequoia is never whether to take positions in an emerging AI category. The question is which positions, at what stage, with which founders.
The Profound bet
Anas Biad led Sequoia's $35 million Series B in Profound in August 2025, less than a year after the company's founding. The round brought Profound's total funding at that point to $58.5 million. James Cadwallader and Dylan Babbs, the company's co-founders, had built a platform that helps brands monitor and influence how ChatGPT, Gemini, Perplexity, and Google AI Overviews describe their products.
The diligence shape, by Biad's own subsequent description, came down to two factors. The speed at which Profound shipped product and won customers — Fortune 10 logos including Ramp, U.S. Bank, Indeed, MongoDB, Docusign, and Chime within the first year. And the founders' framing of the opportunity: not a tool for the existing SEO buyer, but a marketing operating system for an entirely new buyer who does not yet exist in most organizations.
Biad has said publicly that Profound's "speed of execution was truly remarkable" and that Sequoia only backs founders building generational companies. The implication of the second framing is operative. Sequoia did not lead Profound's Series B to make a marketing-tech bet. It led to make a category-creation bet
Sequoia continued participating through Profound's Series C in February 2026, the $96 million Lightspeed-led round that took the company to a $1 billion valuation. Eighteen months from founding to unicorn is the kind of curve that confirms a category thesis.
The Sequoia frame on the AI search shift
The firm's positioning on the AI search transition reads in three parts.
First, scale. Sequoia treats AI-mediated search as the next durable surface for marketing spend at the same order of magnitude as Google search advertising became in the 2010s. The reframe matters because the eventual TAM under that lens is closer to hundreds of billions than to the existing SEO-tool category, which is a few billion. Multiple billion-dollar outcomes are assumed.
Second, structural change. Sequoia views the shift from blue-link search to AI-generated answers as a structural rebuild of how buyers discover products, not a layer on top of existing search. That distinction informs the price the firm is willing to pay. Layers are valued at multiples of revenue. Rebuilds are valued at multiples of future market share.
Third, founder selection. Sequoia has been explicit that the category will be defined by the founders who move fastest and ship most aggressively, not the ones with the most polished decks. Profound was eighteen months old when it became a unicorn. That is the velocity profile Sequoia is selecting for.
Where the position sits inside Sequoia's broader AI portfolio
Profound is not an isolated bet. It sits inside a broader Sequoia AI thesis that includes positions in OpenAI, in foundational AI labs, in AI agent and infrastructure companies, and in AI-native applications across enterprise software and consumer. The Profound check is the firm's articulated bet that marketing is one of the larger applied-AI categories yet to be capitalized at scale.
The downstream implication is straightforward. When Sequoia takes a meaningful position in an emerging category, the firm tends to back additional bets in adjacent layers of the same stack. Watch the firm's portfolio over the next four quarters for follow-on positions in AI-native PR tools, AI-rebuilt reputation platforms, and agent-based marketing automation. Sequoia rarely makes a single bet in a category it believes is generational.
What to watch
Three signals worth tracking.
One. Sequoia partner activity in adjacent communications categories. Biad and his colleagues moving aggressively on AI-native pitching tools, reputation platforms, or earned-media infrastructure would signal the firm is treating Profound as a beachhead rather than a standalone bet.
Two. Sequoia's first European or Asia-Pacific GEO bet. The firm has scout networks and global affiliated partnerships. A direct lead in a non-US AI communications company would signal Sequoia is treating the category as global.
Three. Profound's product trajectory. Sequoia's bet is on a marketing operating system, not a measurement tool. The Profound roadmap — agentic workflows, content generation, attribution — is the implicit roadmap for the entire category Sequoia is funding. If Profound succeeds in becoming the system of record for AI search marketing, the firm wins outsized. If it stays a dashboard, the bet was mispriced.
The bottom line
Sequoia's Profound investment is the most consequential single venture position in AI communications to date. The firm is not betting on a tool. It is betting on a category, on a founder velocity profile, and on the proposition that answer-engine marketing becomes a budget line at every Fortune 500 inside three years.
Other funds will follow Sequoia's framing. Some already have. The category's market structure is being set, in part, by what one firm decided to underwrite eighteen months ago.
