Profound

Founded by James Cadwallader and Dylan Babbs, Profound is headquartered in New York and operates with a decisive vision: to help businesses navigate the disruption of artificial intelligence search. The core problem solved is the critical loss of traditional website traffic in a zero-click ecosystem, where language models generate direct answers instead of routing users to external links. Profound empowers enterprise brands to understand and influence how they are explicitly referenced within these generated responses. By building the definitive marketing platform for the new era, the company ensures that organisations maintain authority and control over their digital narrative and representation.

Profound has rapidly established itself as the category leader in artificial intelligence visibility marketing, serving enterprise clients across technology, retail, and financial industries. Major brands such as Target, Walmart, MongoDB, Figma, Charlotte Tilbury, and US Bank rely on the platform to optimise their digital footprint effectively. The company has delivered exceptional case study outcomes for its users. For instance, financial firm Ramp increased its answer engine search visibility from a mere three percent to over twenty-two percent within a single month. Another client, Hone, achieved an eight hundred percent improvement. Validating its significant market impact, Profound secured a successful Series C funding round of ninety-six million dollars, propelling the business to unicorn status with a one billion dollar valuation. Backed by tier-one investors including Sequoia Capital, Lightspeed Venture Partners, and Kleiner Perkins, the firm demonstrates unparalleled trustworthiness, authority, and financial stability within the highly competitive global enterprise software sector seamlessly.

Unlike traditional search marketing platforms that remain anchored in keyword discovery and standard website rankings, Profound is built exclusively for the answer engine era. The fundamental difference lies in its proprietary read-and-write methodology; it analyses how language models actively speak about brands whilst simultaneously deploying autonomous agents to generate optimised content. Furthermore, competitors typically lack the specialised infrastructure required to track server-level bot behaviour accurately. Profound bridges this gap by combining prompt demand analysis with integrated automation agents, allowing enterprise teams to turn deep analytical insights into immediate and measurable marketing actions without switching between multiple external, uncoordinated workflow tools.