AI in GTM at Notion — Flora Liu

Building a unified Go-To-Market (GTM) system requires shifting from fragmented, tool-heavy processes to a cohesive, agent-centric architecture. By implementing a "Know, Decide, Act, Learn" framework, companies can consolidate disparate data—ranging from product usage in Snowflake to unstructured meeting notes—into a single, programmable context layer. At Notion, this involves using their own platform as the source of truth, allowing both human operators and AI agents to collaborate on the same data substrate. This approach prioritizes "renting" general-purpose tools like CRMs while "building" proprietary context management to maintain a competitive edge. Early results demonstrate the effectiveness of this strategy, with context-aware recommendations driving a 63% increase in customer progression. Ultimately, success hinges on shadowing human workflows to encode best practices into durable, automated loops that empower teams to scale without sacrificing nuance or quality.