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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. VANCOUVER, Wash.--(BUSINESS WIRE)--July 10, 2026-- 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. Only one system grounds the answer. In the v1 run, ZoomInfo's GTM.AI led every pillar, with a GTM Bench Index of 77 against 47 for Apollo, 36 for Exa, and 31 for open-web search. It finished 98% of the operator's work product, returned 478 verifiable records per 1,000 against 7 to 35 for the field, and ran cheapest at $0.79 per task. On the same 1,000-contact suite, the non-ZoomInfo field returned 720 wrong phone numbers. GTM Bench is a vendor-run benchmark, and ZoomInfo publishes it accordingly. The losses are shown plainly, including four categories where the ZoomInfo edge is thin or absent, from pure copywriting to owned CRM data no external tool can see. Grounding is graded against ZoomInfo's verified records, a reach measure rather than an independent audit. The benchmark is versioned, will be re-run on major model releases, and version 2 adds agentic multi-step workflows, international coverage, and an owned-data axis. The system at the top is GTM.AI, ZoomInfo's headless GTM context layer. It exposes the GTM Context Graph (100M companies, 500M contacts, billions of signals) and agentic orchestration through API and Model Context Protocol, with every record carrying a confidence score and its lineage. GTM.AI powers dozens of live integrations, including Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot, Claude, ChatGPT, Gong, LeanData, and Google Workspace. Other data providers and agent builders can submit their systems, and ZoomInfo will run them at their best configuration and add them to the leaderboard. The full task set, the 1,000-contact grounding study, and the 20-job tool-choice study are available on request. About ZoomInfo ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, enables sales, marketing, and customer success teams to execute their go-to-market strategy with confidence. Powered by the industry's most comprehensive B2B data, including more than 100 million companies, 500 million contacts, and billions of signals, ZoomInfo delivers the intelligence, automation, and integrations that modern revenue teams need to identify, engage, and convert their best buyers. GTM.AI is ZoomInfo's headless GTM context layer. It is the API and Model Context Protocol home for AI agents, powering integrations across Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot, Claude, ChatGPT, and dozens more. Learn more at zoominfo.com and gtm.ai. View source version on businesswire.com: https://www.businesswire.com/news/home/20260710734486/en/ Media contact: Dennis Sevilla ZoomInfo [email protected] 330 W. Columbia Way, Floor 8, Vancouver, WA 98660, United States
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ZoomInfo releases benchmark for AI sales tools By Investing.com
VANCOUVER, Wash. - ZoomInfo (NASDAQ:GTM) released GTM Bench, a benchmark system that evaluates large language models and AI agents on go-to-market tasks including building target lists, enriching records, scoring accounts, and reaching decision-makers, according to a press release statement. The company, valued at $867 million, has seen its stock fall 72% over the past year to $2.94, though InvestingPro analysis indicates the stock is currently undervalued. Despite market headwinds, ZoomInfo maintains an impressive gross profit margin of 86.75% and remains profitable with $1.25 billion in revenue. Version 1 of the benchmark covers more than 20 jobs, 4 systems, and 3 models. The methodology, sample tasks, and grading rubrics have been published. The benchmark grades systems on two measures: Answer, which tracks what portion of requested work the system completes, and Grounding, which measures what share of returned data traces to a real, current source. In the initial run, ZoomInfo's GTM.AI recorded a GTM Bench Index of 77, compared to 47 for Apollo, 36 for Exa, and 31 for open-web search. The company's system completed 98% of the operator's work product and returned 478 verifiable records per 1,000, compared to 7 to 35 for other systems tested. The cost per task was $0.79. ZoomInfo acknowledged the benchmark is vendor-run and noted four categories where its advantage is limited or absent, including copywriting and owned CRM data that external tools cannot access. Grounding is measured against ZoomInfo's verified records rather than through independent audit. The company said other data providers and agent builders can submit their systems for testing and inclusion on the leaderboard. Version 2 will add agentic multi-step workflows, international coverage, and an owned-data axis. GTM.AI is ZoomInfo's context layer that provides access to what the company describes as 100 million companies, 500 million contacts, and billions of signals through API and Model Context Protocol. The system integrates with Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot, Claude, ChatGPT, Gong, LeanData, and Google Workspace. In other recent news, ZoomInfo Technologies reported several significant developments. Moody's Ratings affirmed ZoomInfo's Ba3 corporate family rating, while revising the outlook to negative from stable due to concerns over revenue growth. This affirmation reflects ZoomInfo's strong market position and expectations for manageable debt levels and solid cash flow. Additionally, Jefferies downgraded ZoomInfo's stock rating from Buy to Hold, citing weak client demand and the impact of artificial intelligence on purchasing decisions. Jefferies also adjusted its revenue growth outlook for 2026, anticipating no improvement by 2027. In another development, BofA Securities reinstated coverage of ZoomInfo with an Underperform rating, expressing concerns about AI's potential threat to the company's business model. On the technology front, ZoomInfo announced its integration with Anthropic's Claude AI assistant, allowing users to access business data directly within the platform. Furthermore, OpenAI has integrated ZoomInfo into its Codex for Work platform, enabling users to leverage sales intelligence tools seamlessly. These integrations aim to enhance user experience by providing direct access to valuable data without switching applications. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.
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ZoomInfo unveiled GTM Bench, a new benchmark system that evaluates AI agents and large language models on actual go-to-market tasks. Unlike traditional AI benchmarks that test reasoning in controlled environments, GTM Bench scores systems on two critical measures: how much work they complete and whether outputs are grounded in verifiable data. In initial testing, ZoomInfo's GTM.AI achieved a GTM Bench Index of 77, significantly outperforming competitors like Apollo and Exa.
ZoomInfo has released GTM Bench, an AI benchmark specifically designed to evaluate large language models and AI agents on real-world GTM tasks that sales and marketing teams perform daily. Version 1 of this benchmark for AI sales tools covers more than 20 jobs, 4 systems, and 3 models, with the methodology, sample tasks, and grading rubrics published for public scrutiny
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. The benchmark tests AI systems on building target lists, enriching records, scoring accounts, and reaching decision-makers—the core activities that drive revenue for B2B organizations.Most AI benchmarks measure reasoning within closed environments, providing models with all necessary facts upfront. But go-to-market work fails differently. The primary constraint is data availability: roughly 70% of B2B contact data decays annually, and critical information sits scattered across the web and private systems. While a summary that's 90% accurate might still prove useful, a prospect list with the same accuracy rate sends sales representatives to wrong companies. This reality shaped how ZoomInfo designed its AI-powered go-to-market platform evaluation system.
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, while grounding measures what share of returned data traces to a real, current source. A confident wrong answer scores negative, ensuring systems are penalized for hallucinations or outdated information.
In the version 1 run, ZoomInfo's GTM.AI led every pillar with a GTM Bench Index of 77, compared to 47 for Apollo, 36 for Exa, and 31 for open-web search. The system completed 98% of the operator's work product and returned 478 verifiable records per 1,000, vastly outperforming competitors who returned between 7 to 35 verifiable records. On the same 1,000-contact suite, non-ZoomInfo systems returned 720 wrong phone numbers. The cost efficiency also favored ZoomInfo at $0.79 per task
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ZoomInfo acknowledges GTM Bench is a vendor-run benchmark and publishes results accordingly. The company openly displays losses, including four categories where its advantage is thin or absent—from pure copywriting to owned CRM data that no external tool can access. Grounding is graded against ZoomInfo's verified records, representing a reach measure rather than an independent audit
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. The benchmark is versioned and will be re-run on major model releases, with version 2 adding agentic multi-step workflows, international coverage, and an owned-data axis.GTM.AI serves as ZoomInfo's headless GTM context layer, exposing the GTM Context Graph—which includes 100 million companies, 500 million contacts, and billions of signals—through API and Model Context Protocol. Every record carries a confidence score and its lineage, addressing the verifiable data challenge central to revenue-driving tasks. The system powers dozens of live integrations, including Salesforce Agentforce, HubSpot Breeze, Microsoft Copilot, Anthropic's Claude, ChatGPT, Gong, LeanData, and Google Workspace. Other data providers and agent builders can submit their systems for evaluation. ZoomInfo will run them at their best configuration and add results to the leaderboard
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. The full task set, the 1,000-contact grounding study, and the 20-job tool-choice study are available on request. This open approach aims to establish GTM Bench as an industry standard for evaluating AI performance on actual go-to-market work, helping sales and marketing teams make informed decisions about which AI tools deliver reliable results rather than impressive demos.Summarized by
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