Claygent AI research
Research target companies and people with AI agents, then connect those findings to downstream GTM workflows.
Clay is a GTM infrastructure platform for teams to get data, enrich records, run AI-assisted workflows, and launch revenue ops in one system.
Clay is a GTM infrastructure platform for teams that want to collect data, enrich records, and trigger actions from the same system. The homepage positions it as a way to “build systems to grow revenue,” while the product description emphasizes getting data, running agentic workflows, and launching GTM plays.
Across the source pages, Clay combines AI research, waterfall enrichment, data marketplace access, sequenced messaging, and audience syncing into one workflow-oriented toolset. The pricing page also shows that the platform is packaged for individual users, growing teams, and enterprise buyers, with usage measured through Data Credits and Actions.
Research target companies and people with AI agents, then connect those findings to downstream GTM workflows.
Combine multiple data providers to improve contact and company coverage when a single source is incomplete.
Track changes and signals such as job changes, promotions, and web intent to time outreach and prioritization.
Buy data from 150+ providers in one place and use that data across enrichment and workflow steps.
Sequence outreach with Clay’s native sequencer or automate messaging flows tied to prospecting and follow-up work.
Centralize first- and third-party data sources, then sync audiences to LinkedIn, Meta, and Google for GTM execution.
Find accounts and contacts, enrich them from multiple sources, and prepare a more complete prospecting list before outreach begins.
Enrich inbound leads, score them with signals, and route them to the right rep or workflow quickly.
Keep CRM records accurate and refreshed by syncing, enriching, and updating data over time.
Build and sync ad audiences from first- and third-party data so campaigns can target specific accounts or segments.
Use AI agents and sequencing together to research targets, draft outreach, and automate parts of GTM execution.
Clay is designed for GTM teams that need to source data, enrich records, run AI-assisted research, and trigger outbound or ad workflows from one system. The pricing page also shows plan tiers for individuals, teams, and enterprise buyers.
Clay’s plans are organized by use case and scale. The Free plan is for learning and experimentation, Launch for individuals and small teams automating first prospecting workflows, Growth for teams scaling GTM motions, and Enterprise for larger-scale deployments with added security and control.
Clay separates Data Credits from Actions. Data Credits pay for purchased data from Clay’s marketplace and can roll over, while Actions cover the platform work Clay performs during orchestration and reset each billing cycle.
Claygent is Clay’s AI agent capability for GTM. The source describes it as a way to build, test, and deploy agents that research the web, execute plays, and orchestrate workflows connected to first- and third-party data.