Landbase’s AI Lab Launches GTM-2 Omni, Unifying Natural Language Audience Targeting With Omnichannel Campaign Strategies

Next-generation model upgrades planning, generation and reward systems while introducing AI qualification and precision list building

Landbase announced the launch of GTM-2 Omni, its next-generation model for targeting and messaging that powers the Landbase platform. GTM-2 integrates the proven capabilities of GTM-1 Omni with breakthrough advances in natural language targeting and AI qualification to more precisely find, qualify and conduct omni-channel outreach to target audiences.

GTM-2 arrives as more tech companies incorporate reinforcement learning environments into AI agent development, a capability Landbase has deployed for the past two years and is core to its model. To enable more precise targeting and messaging, GTM-2 leverages vast reserves of business data, custom signals and campaign learnings.

“You shouldn’t need a PhD to grow your business—The GTM-2 Omni makes enterprise-grade targeting and messaging accessible to everyone,” said Daniel Saks, Co-Founder and CEO of Landbase. “AI should simplify GTM, not make it harder. With Landbase, finding your next customer is as easy as chatting with AI.”

This upgraded domain-specific model is another example of how Landbase is ahead of the curve within the GTM space: The company was the first to introduce natural language targeting for GTM, featuring an easy-to-use interface, coined as VibeGTM, which is available to try for free.

What’s New in GTM-2 Omni

• Upgraded Omnichannel Messaging – Enhanced Planning & Decisioning Models, Generator Models and Prediction & Reward Models now run on new system prompts for faster iteration, more personalized messaging and higher conversion rates.
• Natural Language Targeting – A large new dataset enables users to define audiences in plain English (e.g., “mid-market U.S. healthcare companies hiring in compliance”), qualify with AI and expand campaigns to 10,000+ prospects in minutes.
• Precision List Building – GTM-2 leverages 30,000 custom signals, 1,500 business data points, and over 600M contacts, enriched by training on 50M+ campaigns, to deliver the most accurate targeting available.

The advancements in the proprietary model were spearheaded by Landbase’s Applied AI Lab team, led by Chief Data Scientist Hua Gao — a Stanford Ph.D. and co-founder of EverString, which was acquired by ZoomInfo.

“With GTM-2, we’ve fused omni-channel intelligence with natural language targeting in a single model,” said Hua Gao, Chief Data Scientist at Landbase. “It gives businesses both the precision to qualify audiences and the power to engage them at scale.”

GTM-2 is at the core of the Landbase platform and available via subscription with a Starter tier that anyone can test immediately. To unlock the full functionality, enterprises can work with Landbase’s forward-deployed data engineering team, which embeds directly with GTM leaders to tailor the model and maximize impact.

Source: Landbase media announcement