Clay

What is Clay AI

Clay AI is an all-in-one B2B growth platform for running personalized outbound at scale. It unifies 100+ premium data sources and AI research agents to discover, enrich, and qualify prospects, then automates workflows that turn insights into revenue. Teams can define an ideal customer profile, pull fresh company and contact data, verify it, and generate tailored messaging. By centralizing data enrichment, lead research, and outreach personalization, Clay AI helps sales, marketing, and growth teams streamline prospecting and improve conversion.

Clay AI Main Features

• Unified data enrichment: Combine 100+ premium data sources to build accurate company and contact profiles in one place.
• AI research agents: Automatically research prospects, extract signals, and summarize insights to guide personalized outreach.
• Personalized messaging at scale: Generate tailored lines and snippets based on firmographic and behavioral data.
• Automated workflows: Orchestrate enrichment, verification, deduplication, and routing with repeatable pipelines.
• Verification and quality controls: Validate emails, remove duplicates, and apply rules to keep lists clean.
• CRM and tool integrations: Sync data and insights to your CRM or engagement platform to trigger sequences.
• Scoring and segmentation: Rank accounts and contacts using intent signals and custom fit criteria.
• Collaboration: Share playbooks, standardize processes, and maintain consistency across SDR and growth teams.
• Analytics: Monitor workflow performance and iterate on data and copy for better reply and meeting rates.

Who Should Use Clay AI

Clay AI is ideal for B2B sales and growth teams that need reliable data and AI-powered personalization to scale outbound. It fits SDR/BDR teams, revenue operations, demand generation, and agencies running account-based programs. SaaS companies, services firms, and marketplaces can use it to build targeted lists, enrich leads, and craft context-aware outreach without stitching together multiple tools.

How to Use Clay AI

1. Define your ICP and targeting criteria (industry, company size, tech stack, roles, geography).
2. Select data sources and enrichment steps to pull company and contact information.
3. Add AI research agents to gather context (news, roles, product use, signals) and summarize findings.
4. Set up verification, deduplication, and custom rules to ensure data quality.
5. Generate personalized lines or fields for emails and sequences based on enriched insights.
6. Sync enriched records and personalization to your CRM or engagement tool.
7. Launch outreach, monitor results, and iterate on workflows, scoring, and copy.

Clay AI Industry Use Cases

SaaS SDR teams can create account-based lists, enrich decision-makers, and produce tailored first lines that reference relevant signals. Agencies can standardize prospecting playbooks across clients, combining enrichment, research, and copy generation for faster campaign launches. RevOps can route qualified leads to the right sequences, maintain clean CRM data, and report on conversion improvements. Professional services firms can identify high-fit accounts, surface timely triggers, and personalize proposals.

Clay AI Pricing

Clay AI typically offers subscription plans that scale by seats, feature access, and usage of data or AI processing. Enterprise options are available for larger teams with advanced workflow and governance needs. For current plan details and any trials, visit the official pricing page.

Clay AI Pros and Cons

Clay AI FAQs

• Does Clay AI replace my data provider?

  It aggregates multiple premium sources and adds AI research, so many teams reduce point tools, but you can keep existing providers if needed.

• Can I use Clay AI for account-based marketing?

  Yes. You can build account lists, enrich key contacts, score fit and intent, and generate personalized outreach for ABM plays.

• How does personalization work at scale?

  AI agents extract prospect-specific insights and generate fields or first lines that can be merged into sequences programmatically.

• What integrations are supported?

  Clay AI syncs with common CRMs and engagement platforms so enriched data and copy flow into your existing workflows.

• How do teams ensure data quality?

  Use verification steps, deduplication, and custom rules to validate contacts and standardize records before syncing.