ZoomInfo Launches GTM Bench, the Benchmark for AI That Does Go-to-Market Work
GTM Bench scores LLMs and AI agents on real go-to-market work across two axes, how much of the job the system finishes and whether the output is grounded in verifiable data.
ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, has released GTM Bench, a versioned benchmark that evaluates LLMs and AI agents on the work go-to-market teams actually do: building target lists, enriching records, scoring accounts, and reaching decision-makers. Version 1 covers more than 20 jobs, 4 systems, and 3 models, and the methodology, sample tasks, and grading rubrics are published for scrutiny.
Most AI benchmarks measure reasoning inside a closed world. They hand the model the facts and grade how well it reasons over them. Go-to-market fails differently. The constraint is data availability: roughly 70% of B2B contact data decays every year, and the facts that move revenue work sit scattered across the web and private systems. A summary that is 90% right is still useful. A prospect list that is 90% right sends a rep to the wrong company.
Every GTM Bench result is graded against a senior GTM operator's work product on two independent axes. Answer measures what share of the requested work product the system delivers. Grounding measures what share of the returned data traces to a real, current source. A confident wrong answer scores negative. Rubrics are designed by GTM and RevOps practitioners, and competitors run at their best available configuration.
