ZoomInfo Unveils GTM Bench: A Revolutionary Benchmark for Go-to-Market AI

GTM Bench is a versioned benchmark that scrutinizes the capabilities of large language models (LLMs) and AI agents in performing essential GTM tasks. These tasks include building target lists, enriching records, scoring accounts, and effectively reaching decision-makers. The initial version of GTM Bench encompasses over 20 different jobs, integrates with four systems, and evaluates three distinct models.

Traditional AI benchmarks typically focus on reasoning within a closed environment, presenting models with known facts and evaluating their reasoning capabilities. In contrast, GTM Bench addresses the unique challenges of go-to-market strategies, which are heavily constrained by data availability. Notably, it is estimated that around 70% of B2B contact data becomes obsolete each year, making accurate and up-to-date information crucial for sales teams.

GTM Bench utilizes two independent axes to grade results: Answer and Grounding. The Answer metric evaluates the proportion of the requested work product delivered by the system, while the Grounding metric assesses how much of the returned data is traceable to a valid, current source. A significant aspect of the grading rubric is designed by experienced GTM and Revenue Operations practitioners, ensuring that it reflects real-world applications.

In the initial round of evaluations, ZoomInfo’s GTM.AI achieved impressive results, scoring a GTM Bench Index of 77. This puts it well ahead of competitors, with Apollo scoring 47, Exa at 36, and open-web search trailing at 31. GTM.AI successfully completed 98% of the operator's required work product, returning 478 verifiable records per 1,000 tasks, while competitors only managed between 7 to 35 verifiable records.

Additionally, GTM.AI's cost-efficiency is noteworthy, operating at just $0.79 per task. In stark contrast, the non-ZoomInfo field returned an alarming 720 incorrect phone numbers per 1,000 contacts.

ZoomInfo emphasizes transparency in GTM Bench, openly publishing the results, including areas where they may be at a disadvantage. The benchmark clearly illustrates four categories where ZoomInfo's edge is less pronounced, such as in pure copywriting and owned CRM data that external tools cannot access.

The benchmark is also designed for continuous improvement, with plans to re-run assessments with each major model release. Version 2 of GTM Bench is already in the pipeline and will introduce agentic multi-step workflows, international coverage, and additional metrics for owned data.

At the core of this initiative is GTM.AI, ZoomInfo's headless GTM context layer. This robust platform connects to the GTM Context Graph, which comprises 100 million companies, 500 million contacts, and billions of signals. It facilitates agentic orchestration through API and Model Context Protocol, ensuring that every record is accompanied by a confidence score and lineage information.

GTM.AI supports numerous live integrations, including Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot, Claude, ChatGPT, Gong, LeanData, and Google Workspace, making it a versatile tool for modern revenue teams.

ZoomInfo's launch of GTM Bench marks a significant advancement in the evaluation of AI capabilities within the go-to-market space. By focusing on the practical applications of AI in sales and marketing, ZoomInfo is positioning itself as a leader in the industry, providing businesses with the necessary tools to navigate the complexities of B2B sales effectively.

As the landscape of AI continues to evolve, tools like GTM Bench will be paramount in ensuring that organizations can harness the full potential of AI-driven solutions to enhance their go-to-market strategies.