Clay

What is Clay?

Clay is a go-to-market (GTM) platform for teams that need to enrich prospect and customer data, monitor intent signals, and then automate actions based on that information. Its core purpose is to bring multiple data sources and AI-led research into one workflow so you can turn GTM data into operational outputs (for example, CRM updates and outreach triggers).

Clay combines enrichment from a large set of data providers, intent signals from changes in prospect activity, and AI-led research to help find unique datapoints. It also includes tools to format and conditionally process data, then route results to destinations across a company’s existing GTM stack.

Key Features

• Enrichments from 150+ premium data providers to identify leads, enrich accounts/contacts, and support lead scoring and personalization workflows.
• Intent signals for real-time triggers (e.g., when prospects change jobs, visit a website, or mention a company online).
• AI-led research via Claygents to search public databases, navigate gated forms, and surface unique datapoints.
• Context-aware AI agent building using “Sculptor” for GTM idea generation and table building, and Claygents that can be built and versioned for consistency across workflows.
• MCP server connectivity for additional context (the site notes connections to systems such as Salesforce, Gong, and Google Docs) by tying Claygent to an MCP server.
• Data orchestration across enrichments, intent signals, and CRM data to decide who to target and automate downstream actions.
• Audience building and prioritization by combining signals and CRM attributes into higher-intent buyer segments.
• Action automation through CRM and outreach workflows, including alerts to reps, CRM updates, and launches in Clay’s native sequencer.
• AI data formatting and cleanup to concatenate fields, ensure consistent formatting, and remove unnecessary items from lists.
• Conditional logic for workflow steps without engineering (e.g., fallbacks when certain data—like emails or mobile numbers—is not found).
• Destinations and syncing to push enriched data on a recurring basis to tools in a GTM stack; the site also references an HTTP API capability for custom integrations.

How to Use Clay

1. Start with a GTM dataset such as a list of accounts, leads, or contacts from your CRM (or a sheet/table you want to enrich).
2. Run enrichment and research using Clay’s provider-based enrichments and AI-led research (Claygents) to fill missing contact and firmographic data.
3. Add intent signals so the workflow can react to relevant prospect behavior (for example, a job change or website visit).
4. Format and clean the output with AI formatting to standardize fields into the shape your tools expect.
5. Define conditional steps and routing so actions only run when certain criteria are met (and fall back to alternate enrichment methods when needed).
6. Sync results to destinations such as a CRM and connect to outreach via Clay’s native sequencer; optionally use the HTTP API for custom tool integrations.

Use Cases

• Outbound lead enrichment and scoring for sales teams: Enrich accounts and contacts from multiple providers, score leads, and deliver results to reps by syncing to a CRM and triggering next steps.
• Automation of administrative research tasks: Replace manual enrichment and lead investigation by using provider enrichments and AI-led research to populate missing datapoints and update records.
• Trigger-driven outreach based on intent signals: Monitor prospect events (job changes, website visits, online mentions) and use those signals to prioritize outreach and alert the right internal owner.
• Building and maintaining high-intent audiences: Combine CRM data with enrichment and intent signals to create dynamic buyer segments for campaigns.
• Improving data coverage and consistency in GTM operations: Use AI formatting/cleanup and conditional logic to standardize output fields and handle gaps in source data (e.g., using fallback strategies).

FAQ

What types of data does Clay help enrich?

Clay supports enrichment of leads and accounts/contacts using 150+ premium data providers, and it can also gather unique datapoints using AI-led research via Claygents.

Does Clay provide AI research agents?

Yes. The site references Claygents for AI-led research, and also describes building context-aware AI agents and using Sculptor for GTM idea generation and table building.

Can Clay react to prospect behavior automatically?

Yes. Clay provides intent signals and describes orchestrating workflows that trigger action when prospects change jobs, visit websites, mention companies online, and similar events.

How does Clay move data into other tools?

Clay can sync enriched data to destinations such as a CRM and tools used for sequencing outreach. The site also mentions HTTP API capability for building custom integrations.

Is conditional logic available for workflows?

Yes. Clay includes AI conditional logic so steps can run conditionally “no engineering needed,” including fallbacks when certain data is missing.

Alternatives

• Marketing automation platforms with data enrichment: Tools focused on campaigns and workflows can automate outreach and segmentation, but may rely on separate enrichment/intent tooling instead of bundling provider enrichments and AI-led research.
• Data enrichment and enrichment APIs (standalone providers): These can fill missing contact/firmographic fields, but typically don’t include an integrated workflow layer for intent signals, conditional logic, and pushing results into sequencers/CRMs.
• CRM-focused enrichment and routing tools: CRM-centric solutions can route leads and automate updates, but may offer less coverage for multi-provider enrichment and AI-led research compared to a dedicated GTM orchestration platform.
• Generic workflow automation tools (e.g., automation/orchestration platforms): These can connect systems and automate actions, but usually require more setup to implement provider enrichments, intent triggers, and AI agent workflows end-to-end.