For GTM and revenue teams, Landbase is an AI GTM platform built on its own GTM-2 Omni action model, letting teams describe a target audience in plain English to build prospect lists, then research, personalize, and launch omnichannel outbound campaigns.
Presence & Market Position
#28 of 81
AI-Native GTM Challengers
▼ 43 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Landbase positions itself as GTM data infrastructure for agent-driven prospecting, where teams describe an audience in plain English and move from targeting through qualification and enrichment. Its presence is concentrated in practitioner workflows for TAM mapping, list building, data sourcing, and outbound preparation. It appears regularly in stack discussions alongside prospecting databases and automation tools, with particular attention to its CLI-based access and its use in AI-assisted research workflows. The conversation treats Landbase as a rising agent-native option for teams that want data and qualification work available through prompts rather than only through a conventional application interface.
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Business Profile
Landbase launched in 2023 out of San Francisco, built around a proprietary "GTM action model" rather than a wrapper on a general-purpose LLM. It raised a $12.5M seed in September 2024 and a $30M Series A in June 2025, for $42.5M in total funding. Reported customer count grew from 10 paying customers in December 2024 to more than 150 by mid-2025, with 825% year-over-year revenue growth cited alongside that run, and ARR reported at $10.7M as of September 2025. The company has expanded largely through acquisition, folding research, automation, and inbound-signal startups into the platform through 2025, and runs at roughly 77 employees.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Landbase has made its GTM data available through public API, MCP, and CLI surfaces. Its GTM-3 Omni launch runs natively in Claude Code, Codex, and Gemini CLI, while the core platform connects natural-language targeting with account qualification, enrichment, and prioritization. The public product surface places its domain-specific GTM model inside both the application and agent-facing workflows.
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