Best for: GTM engineers and RevOps teams that want to build custom workflows across many providers. ZoomInfo suits teams that want one verified data foundation with execution built in.
Data: ZoomInfo covers 500M contacts and 100M companies, verified by 300+ human researchers. Clay has no database of its own and aggregates 150+ providers in a waterfall.
Pricing: Clay charges in actions and data credits across paid tiers. ZoomInfo's GTM.AI pricing: Free to start with consumption credits based on usage.
AI: Agent Orchestration reasons over CRM history, conversation intelligence and behavioral signals in the GTM Context Graph. Claygent browses the web to extract data points.
Proof: More than half of the Fortune 500 use ZoomInfo.
Both platforms give GTM teams data and outreach in one place. They differ in how much of the go-to-market motion they cover, and how you pay.
An all-in-one AI GTM platform built on a verified data foundation
500M contacts and 100M companies, verified continuously by 300+ human researchers
Agent Orchestration reasons over the GTM Context Graph's contact data, intent signals and CRM context
GTM Studio turns plain-language plays into live workflows and executes them natively
Universal access through GTM Workspace, GTM Studio or GTM.AI
Free to start, with consumption credits based on usage
A spreadsheet-style canvas for GTM data workflows
Sequences 150+ external providers in a waterfall that stops at the first match
No proprietary database: data quality depends on the provider that returns a match
Claygent browses the web to extract structured data points
Sculptor adds a natural-language layer for describing workflows in plain text. The model is still sequential: Clay stops at the first match rather than scoring across all sources, and the canvas prepares data rather than executing it
Connects to tools such as Outreach, Salesloft, HubSpot and Salesforce
Compare ZoomInfo directly to Clay at a high level across core GTM capabilities.
Features |  |  |
|---|---|---|
Platform type | An all-in-one AI GTM platform on a verified data foundation | A spreadsheet-style canvas that sequences 150+ providers in a waterfall |
Core purpose | Verify data first, reason over it, then execute natively in GTM Studio | Waterfall enrichment, then execution in separate connected tools |
Data foundation | 500M contacts, 100M companies, 200M+ verified emails, per ZoomInfo's data | No proprietary database; 150+ providers queried in priority order |
Data quality | Continuously verified, up to 95% first-party accuracy | Depends on whichever provider answers first; QA is on the customer |
GTM orchestration | Plain-language plays run natively: CRM sync, routing, ads and sequences | The canvas prepares data; execution happens in other tools |
AI Capabilities | Agent Orchestration reasons over CRM, conversation and behavioral signals in the GTM Context Graph | Claygent does web research; no predictive scoring of its own |
No-code operations | Codeless play builder for RevOps and GTM engineering teams | Needs dedicated GTM engineering capacity to build and maintain workflows |
Workflow automation | Parallel waterfall across 25+ sources, at no extra cost in GTM Studio | Sequential, first-match waterfall on the canvas |
Pricing model | Free to start with consumption credits based on usage. See pricing. | Dual-currency model: actions for platform work and data credits for provider data, sold in paid tiers with custom Enterprise pricing. See the Clay pricing guide. |
ISO/IEC 27001, 27701, 27017 and 42001 (AI governance), SOC 2 Type II, TRUSTe Responsible AI, GDPR and CCPA validations, documented in the Trust Center | Not prominently documented in Clay's public materials |
ZoomInfo starts from a verified data foundation and builds orchestration on top of it; Clay does things the other way around. Let's see how the data compares as a result.
ZoomInfo maintains its own dataset: 500M contacts, 100M companies. ZoomInfo also runs parallel waterfall enrichment across 25+ additional sources inside GTM Studio for supplemental coverage, but the primary foundation is proprietary and verified, not assembled from external providers on each lookup.
Snowflake built its account propensity model on ZoomInfo's firmographic and technographic data and saw 2x higher conversion rates and 90% higher opportunity open rates on ZoomInfo-scored accounts.
Clay is an orchestration layer. It doesn't own a contact database. Instead, it aggregates data from external providers, running a sequential waterfall that queries them in priority order and stops at the first match.
That structure can surface coverage from sources a single vendor might not reach, but the quality of each data point is only as good as the provider that returned it. Clay has no verification layer of its own; reconciliation, deduplication, and QA are the customer's responsibility.
GTM Studio and Clay's canvas both promise to orchestrate your GTM workflows, but they start from very different premises.
GTM Studio is ZoomInfo's codeless play builder for RevOps and GTM engineering teams. Workflows are described in natural language ("enrich all new CRM accounts, score for intent, route high-fit accounts to SDR sequences") rather than assembled in spreadsheet logic. GTM Studio runs each play on ZoomInfo's verified data. It queries 25+ sources in parallel and returns the highest-confidence match, not the first one found. It also draws on the GTM Context Graph, which processes 1.5B+ data points daily by fusing ZoomInfo's B2B data with CRM records, conversation intelligence, and behavioral signals.
Native execution closes the loop. CRM enrichment, account routing, ad audience activation and sequence triggers run in one platform, under one contract. The ZoomInfo MCP server handles AI-agent integration. For a side-by-side view, see GTM Studio vs. Clay. The ZoomInfo MCP server handles AI-agent integration.
Clay's workflow surface is a spreadsheet-style canvas: GTM engineers build tables, define column logic and sequence provider calls one vendor at a time. They transform data with Claygent and trigger actions through integrations with Outreach, Salesloft, HubSpot and Salesforce. Sculptor adds a natural-language layer for describing workflows in plain text. The model is still sequential: Clay stops at the first match rather than scoring across all sources, and the canvas prepares data rather than executing it. Sequences, calls, and ad campaigns still run in whichever connected tool a team wires up separately.
AI is only as good as the signal it reasons over, and that's where ZoomInfo and Clay diverge most.
Agent Teams, available now in GTM Studio, runs complete GTM plays from signal to action. Describe a play in plain English and Agent Teams builds it, with specialized agents that share context at every step.
ZoomInfo's intent data is native, built on 210M+ IP-to-Organization pairings. It feeds the GTM Context Graph, which fuses B2B data with CRM activity, conversations and behavioral buying signals. The GTM Context Graph reads CRM activity, conversations and behavior to find accounts in an active buying cycle, contacts that have gone cold, and ICP fits that close fastest.
Clay's AI agent, Claygent, is designed to browse the web and extract structured data points that a conventional database doesn't carry, which is genuinely useful for niche qualification and custom research tasks. Clay's intent signals (job changes, hiring activity, news events, and web intent on the Growth tier) come from providers in its waterfall and can trigger plays effectively for straightforward, event-based outreach.
What Clay does not provide is proprietary predictive intent scoring or conversational intelligence. Clay can tell a team that something changed at an account. It can't tell whether that account is in an active buying cycle, because it doesn't reason across CRM history, conversations and behavior.
Both platforms now connect their data to AI agents. What differs is what's underneath.
ZoomInfo supports the same verified data and intelligence surface through GTM Workspace for sellers, GTM Studio for marketers and RevOps, or directly through APIs and the ZoomInfo MCP server for developers and AI agents. Both platforms now offer MCP servers. ZoomInfo's MCP delivers verified contact and company data, GTM Context Graph signals and intent data to any AI agent.
ZoomInfo's compliance posture includes ISO/IEC 27001, 27701, 27017 and 42001 (AI governance), SOC 2 Type II, TRUSTe Responsible AI, GDPR and CCPA validations, documented in its Trust Center.
Clay is designed to sit on top of many external tools and providers, so integrations are central to its value, and its MCP server is available at clay.com/mcp, surfacing Clay's own workflow data. That flexibility means the customer typically owns more of the integration logic and maintenance burden, since every connected provider and downstream tool is a separate relationship to manage.
Clay's compliance posture is not prominently documented in its public materials, in contrast to the certifications ZoomInfo publishes.
Clay prices by actions and data credits, so cost depends on how many workflows run and which providers they call. With ZoomInfo's GTM.AI: free to start with consumption credits based on usage, and no seat fees.
Start free. No credit card needed.
Data credits pay for data. Each one enriches or exports a single company, contact or intent record.
AI credits pay for AI work, like account research and Agent Team plays. Most actions use 1–20 credits, depending on depth.
Search, lookup and find similar are always free.
See the credit cost before an Agent Team runs a play.
For example:
Enriching 500 CRM leads uses 500 data credits.
Researching 50 target accounts uses about 500 AI credits, around $25.
One account research prompt uses about 9–12 AI credits.
Start free on GTM.AI
Paid tiers, with custom Enterprise pricing above them.
Actions pay for platform work: running enrichments, calling AI models and exporting data.
Data credits pay for the underlying data, bought from Clay's marketplace providers.
Total cost also includes provider subscriptions and the tools a workflow routes into.
For a full breakdown, see our Clay pricing guide.
Clay holds a 4.9 out of 5 rating from 312 reviews on G2. Reviewers from RevOps and GTM engineering teams praise its flexibility. The common complaints are data reliability, the effort of building and maintaining workflows, and credit costs that rise with list size.
On G2, GTM Workspace powered by ZoomInfo holds a 4.5 out of 5 rating from 9,177 reviews. ZoomInfo was also named a Customers' Choice in the 2025 Gartner Peer Insights Voice of the Customer for ABM platforms, with a 4.7 rating and 88% willingness to recommend.
Sendoso cut inaccurate data 70%. monday.com launched ABM programs 4X faster. Here's what teams see when they run GTM on ZoomInfo.
70% less inaccurate data. 1,100+ hours saved. $4.9M+ pipeline in two quarters.
With other providers, we weren't able to get the quality and quantity of data that we needed.
CEO and Co-Founder, Sendoso
39% of active pipeline from ZoomInfo signals. 54% more productive. 11.5 hours saved per week.
It's bringing data together faster than anyone could. It's both a time savings and a quality improvement.
Chief Business Officer, Seismic
4X program scale. 4X faster launches. 22 sales teams across 5 regions.
We can see everything in one place. We can see that the data is correct, understand the signals, and finally optimize our campaigns.
Strategic Demand & Lead Generation
2x higher new customer conversion. 90% higher opportunity open rates. 25% higher customer engagement.
They've done really a great job working with us to get us what we need.
Sales Data Science Manager, Snowflake
Clay's flexibility means technical GTM operators have good reasons to like it. But that flexibility comes from having no data foundation of its own, which means the customer inherits the work of verifying, reconciling, and maintaining whatever the waterfall returns. ZoomInfo starts from a different premise: own and verify the data first, reason over it with the GTM Context Graph, then make orchestration and execution native to the platform, most visibly through GTM Studio, so teams aren't left assembling and babysitting a multi-vendor stack.
500M contacts and 100M companies, verified continuously by 300+ human researchers and machine learning that processes 1.5B+ data points daily, reaching up to 95% first-party accuracy. Clay has no proprietary database. It aggregates whichever provider in its waterfall answers first, so quality, freshness, and reconciliation become the customer's job.
GTM Studio turns a plain-language play description into a live workflow running on ZoomInfo's verified data, a parallel waterfall across 25+ sources, and the GTM Context Graph, then executes it natively (CRM sync, routing, ad audiences, sequence triggers). Clay's canvas prepares and routes data, but execution still happens in separate connected tools that a GTM engineer must build and maintain.
Free to start with consumption credits based on usage, covering data, orchestration, intent signals, and execution under a single agreement. Clay's public per-tier pricing is genuinely transparent, but it's the starting point, not the full cost: underlying provider subscriptions, connected execution tools, and the RevOps engineering time to build and maintain workflows all sit on top of it.
Clay is an orchestration layer: a spreadsheet-style canvas that sequences 150+ external data providers in a waterfall, with no proprietary database of its own. ZoomInfo is an all-in-one AI GTM Platform built on a verified data foundation, the GTM Context Graph reasoning layer, and Universal Access through GTM Workspace, GTM Studio, or GTM.AI. The real question isn't which tool is more flexible in a demo. It's whether your team wants to run a multi-vendor workflow or a single verified foundation with orchestration built in.
Clay isn't a full alternative to ZoomInfo for most teams. Clay's waterfall pulls results from external providers without verifying them. Replacing ZoomInfo with Clay trades a verified foundation for quality that depends on whichever provider answers first. Some teams run both: ZoomInfo as the primary data and intelligence foundation, Clay as a supplemental orchestration layer for specialized enrichment tasks.
ZoomInfo maintains its own dataset: 500M contacts, 100M companies, 135M+ verified phone numbers (120M direct dials) and 200M+ verified business emails, built and verified by 300+ human researchers. Clay has no contact database. It queries providers in sequence and stops at the first match, so coverage can be broad, but quality depends on whichever provider answered.
Yes. GTM Studio executes natively on the same platform. CRM enrichment, account routing, ad audience activation and sequence triggers run under one contract, which also ships with the ZoomInfo MCP server for AI-agent integration. Clay's canvas prepares and routes data, but sequences, calls, and ad campaigns still run in whichever connected tool a team wires up separately, such as Outreach, Salesloft, HubSpot, or Salesforce.
ZoomInfo's compliance posture includes ISO/IEC 27001, 27701, 27017 and 42001 (AI governance), SOC 2 Type II, TRUSTe Responsible AI, GDPR and CCPA validations, documented in its Trust Center. Clay's compliance posture is not prominently documented in its public materials, and because Clay sits on top of many external providers, a team typically has to vet each connected vendor's own compliance practices separately.
ZoomInfo's intent data is native, built on 210M+ IP-to-Organization pairings. It feeds the GTM Context Graph, which fuses B2B data with CRM activity, conversation intelligence and behavioral signals to show which accounts are buying right now. Customers using ZoomInfo's AI capabilities report a 46% increase in win rates and an 83% increase in average deal size. Claygent browses the web to extract data points a conventional database doesn't carry, which helps with niche research. Clay has no predictive intent scoring or conversation intelligence of its own.
Clay's tier pricing is transparent, but it's only the starting point. Total cost also includes provider costs for each waterfall source, the tools a workflow routes into, and the RevOps time to maintain it as APIs change. ZoomInfo is free to start, with consumption credits based on usage. One contract covers data, orchestration, intent and execution, with no separate provider line items, so teams that manage many integrations often consolidate.
Clay is the stronger fit for GTM engineers who want full control over custom workflows across many external providers, and for teams with engineering capacity and very specific enrichment logic. Teams that want a single vendor with enterprise data quality, native intent signals, and direct execution typically lean toward ZoomInfo instead.
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