Radar / AI agents / Landbase GTM-3 Omni

Landbase GTM-3 Omni: agentic GTM model that beats Clay, Apollo and ZoomInfo on list precision

Next-gen model for agentic go-to-market discovery, qualification and outreach, shipped with a reproducible benchmark and native in Claude Code, Codex and Gemini CLI.

new launchagents · frameworksJEV traction 0.31added 2026-09-30
Open Landbase GTM-3 Omni →View on the radar

Why it matters

First GTM model released alongside a reproducible, vendor-agnostic benchmark: 76.7% list precision vs 47.9% for Clay, 36.0% for Apollo and 23.2% for ZoomInfo, winning 18 of 26 prompts outright.

What you could build with it

A B2B sales team can replace manual filter-and-keyword list building with an agentic workflow that reasons over business data in plain language to target, qualify, enrich and score accounts.

Does it hold up?

Too early to judge: launched 2026-09-29 and the only evidence so far is the vendor's own benchmark against Clay, Apollo and ZoomInfo, with no third-party deployments or reviews yet.

Learn more

official announcement →

First spotted on article: source.

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