For product and engineering teams diagnosing what's breaking for customers, Fullstory is a session-capture platform that records every click and page state automatically, then lets AI agents replay sessions, pull logs, and pinpoint the bug.
Presence & Market Position
GTM Adjacent — tracked and scored as a comparator, never ranked.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Fullstory is building toward being the layer between raw session capture and the AI agents that act on it: automatic recording of every click and page state, replayed and queried in natural language instead of tagged and sampled by hand. Its recent messaging pushes further, framing behavioral data as the substrate that keeps AI moving at the same speed as the product itself. In GTM conversation, Fullstory reads as an established name in the digital-experience and growth-analytics world, cited alongside major consumer and enterprise brands in conference and community rundowns rather than as the subject of granular workflow debate. That leaves it recognized as a category player, with the deeper practitioner discussion still early relative to its market position.
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Business Profile
Fullstory has been building session-replay and behavioral analytics since 2014, co-founded by Scott Voigt and Joel Webber and headquartered in Atlanta with offices in London, Sydney, and Singapore. The company has raised $197.2 million from investors including Kleiner Perkins, Google Ventures, Stripe, Dell Technologies, and Salesforce Ventures, and now runs roughly 575 people. It remains independent, and its current chapter is extending the original replay-and-analytics product into an AI layer — StoryAI answering questions over the data, and an MCP integration letting outside AI tools query it directly — rather than moving away from the core product.
Agent Readiness
Not yet graded.
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Fullstory has extended its capture APIs into an MCP server that gives AI assistants direct access to session data: querying friction patterns, pulling error and behavior metrics, and opening individual sessions to read page structure, screenshots, and event logs in natural language. StoryAI underlies the surface, turning session review into something an agent can query rather than watch end to end.
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