The GTM Agent Intelligence API
Transform your in-house GTM Agents from generic bots to intelligent co-pilots
The GTM Agent Intelligence API
The GTM Agent Intelligence API
Transform your in-house GTM Agents from generic bots to intelligent co-pilots
Transform your in-house GTM Agents from generic bots to intelligent co-pilots
The Context Problem
An implementation of AI is only as good as the data provided
Every in-house GTM Agent is limited by the same ceiling: context.
When your GTM Agents depend on LLMs to source account intel or generate targeted sales messaging, the LLM defaults to generic patterns, outdated training data, and surface-level web searches.
It’s not a model problem. It’s a context problem.
Every in-house GTM Agent is limited by the same ceiling: context.
When your GTM Agents depend on LLMs to source account intel or generate targeted sales messaging, the LLM defaults to generic patterns, outdated training data, and surface-level web searches.
It’s not a model problem. It’s a context problem.
Superfood For Your GTM Agents
Superfood For Your GTM Agents
Superfood For Your GTM Agents
By feeding your GTM Agents with relevant context, you eliminate the inherent blind spots that prevent them from surfacing timely buying signals, deep account intel, and strategic messaging.
By feeding your GTM Agents with relevant context, you eliminate the inherent blind spots that prevent them from surfacing timely buying signals, deep account intel, and strategic messaging.
By feeding your GTM Agents with relevant context, you eliminate the inherent blind spots that prevent them from surfacing timely buying signals, deep account intel, and strategic messaging.
Context Retrieval Engine
Context Retrieval Engine
Turf PG’s GTM Retrieval Engine autonomously aggregates, filters, and delivers the most relevant context to your GTM Agents, enabling them to generate high-value outputs that make your sellers effective.
Turf PG’s GTM Retrieval Engine autonomously aggregates, filters, and delivers the most relevant context to your GTM Agents, enabling them to generate high-value outputs that make your sellers effective.
Turf PG’s GTM Retrieval Engine autonomously aggregates, filters, and delivers the most relevant context to your GTM Agents, enabling them to generate high-value outputs that make your sellers effective.
Context Orchestration
Context Orchestration
Your Agent’s LLMs can only handle so much context at a given time. And the quality of that context determines the quality of your Agents' outputs.
Turf PG gives you precise control over the context you feed to your GTM Agents, defining the specific account intel, signal types, and solution offering data that gets ingested.
Turf PG gives you precise control over the context you feed to your GTM Agents, defining the specific account intel, signal types, and solution offering data that gets ingested.
Your Agent’s LLMs can only handle so much context at a given time. And the quality of that context determines the quality of your Agents' outputs.
Turf PG gives you precise control over the context you feed to your GTM Agents, defining the specific account intel, signal types, and solution offering data that gets ingested.
All Signal, No Noise
All Signal, No Noise
Turf PG aggregates, processes, and synthesizes billions of data points to surface only the relevant projects, pain points, and people your GTM Agents need to consistently produce precise, specific, and actionable outputs.
Turf PG aggregates, processes, and synthesizes billions of data points to surface only the relevant projects, pain points, and people your GTM Agents need to consistently produce precise, specific, and actionable outputs.
Turf PG aggregates, processes, and synthesizes billions of data points to surface only the relevant projects, pain points, and people your GTM Agents need to consistently produce precise, specific, and actionable outputs.
The Context Problem
An implementation of AI is only as good as the data provided
Every in-house GTM Agent is limited by the same ceiling: context.
When your GTM Agent depends on an LLM to source account intel or generate targeted sales messaging, the LLM defaults to generic patterns, outdated training data, and surface-level web searches.
It’s not a model problem. It’s a context problem.