ZoomInfo GTM Bench: AI Go-to-Market Performance Benchmark

ZoomInfo has launched GTM Bench, a new benchmark for evaluating AI in go-to-market work. This benchmark scores large language models and AI agents on how much of a job they finish and if the output is based on verifiable data. GTM Bench Version 1 covers over 20 jobs, 4 systems, and 3 models. It assesses tasks like building target lists and enriching records. Unlike most AI benchmarks, GTM Bench focuses on the real-world challenge of data availability. Every result is graded against a senior operator's work. One axis measures the share of work delivered, and the other measures the share of data traceable to a real, current source. A confident wrong answer receives a negative score. In its first run, ZoomInfo's GTM.AI led every category with a GTM Bench Index of 77. This compares to 47 for Apollo, 36 for Exa, and 31 for open-web search. GTM.AI finished 98% of the work and returned 478 verifiable records per 1,000. Other systems returned between 7 and 35 verifiable records. GTM.AI also ran cheapest at $0.79 per task. The system at the top is GTM.AI, ZoomInfo's headless GTM context layer. It powers integrations with tools like Salesforce Agentforce and Microsoft Copilot. This matters because it shows how different AI systems perform on critical business tasks.