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The GTM Stack
Back to Arena
Clay

Clay

Go to market with unique data—and the ability to act on it

VS

Copy.ai

Future proof your business with GTM AI

Copy.ai

The Economics

Pricing Model
usage-based
paid
Starting Price
$0 (free tier)
Free (Chat), $1,000/mo (Growth)
Cost at Scale
$720-custom/mo for serious usage
$1,000-3,000/mo
Free Trial
Yes
Yes

The GTM Utility

Category
Data Enrichment
AI Sales Agents
Workflow Stage
Prospect → Enrich → Sequence
Prospect → Enrich → Sequence → Analyze
Key Features
  • 150+ data enrichment providers in one platform
  • Claygent AI research agent
  • Sculptor AI for workflow building
  • Waterfall enrichment (try multiple providers)
  • CRM integrations (Salesforce, HubSpot)
  • Native email sequencer
  • Signals and intent data
  • Conditional logic workflows
  • HTTP API for custom integrations
  • MCP server support
  • AI workflow builder for GTM processes
  • Prospecting Cockpit for personalized outreach
  • Content creation engine (SEO, social, thought leadership)
  • Inbound lead processing automation
  • ABM at scale with AI
  • Translation and localization
  • Deal coaching and forecasting
  • 2,000+ integrations
  • LLM model agnostic (OpenAI, Anthropic, Gemini)
  • Guided implementation
Platforms
Web
Web
Ease of Use
Moderate — spreadsheet-like interface with learning curve for advanced features
Moderate — enterprise platform with guided implementation

The AI Edge

AI Features
Claygent AI research agent, Sculptor AI for workflow generation, AI formatting and data transformation, AI conditional logic
Multi-model AI (OpenAI, Anthropic, Gemini), AI workflow automation, AI prospecting, AI content generation, AI deal coaching, AI translation

Market Position

Tagline
Go to market with unique data—and the ability to act on it
Future proof your business with GTM AI
Best For
GTM teams wanting the best data enrichment coverage possible by accessing 150+ providers through one platform with AI-powered research capabilities.
Enterprise organizations wanting a single AI platform to power all GTM use cases — from content to prospecting to deal coaching.
Not Great For
Teams wanting a simple plug-and-play outbound tool — Clay's power comes with a learning curve.
Small teams or individuals — the pricing and complexity are oriented toward enterprise buyers.
Team Size
all sizes
enterprise

Intelligence

Pros
  • Unmatched data coverage with 150+ providers
  • Claygent AI enables research at scale
  • Flexible credit-based pricing
  • SOC 2, GDPR, CCPA, ISO 27001 compliant
  • Used by OpenAI, Anthropic, Rippling, Verkada
  • Truly model-agnostic — uses OpenAI, Anthropic, Gemini
  • 2,000+ integrations
  • Enterprise-grade with guided implementation
  • Massive user base (17M users)
  • Strong enterprise case studies (Lenovo, Juniper)
Cons
  • Learning curve for non-technical users
  • Credit costs can add up quickly at scale
  • CRM integrations only on Pro+ plans ($720+/mo)
  • No built-in email sending on lower plans
  • Can be overwhelming with so many options
  • Expensive — $1,000/mo minimum for workflows
  • Free tier is chat-only (no workflows)
  • Enterprise sales process required
  • Pivoted from simple copywriting to GTM platform — may confuse market
  • Credit system requires careful management
Reddit Sentiment
mixed
mixed
Integrations
  • Salesforce
  • HubSpot
  • Outreach
  • Apollo
  • Instantly
  • Smartlead
  • Google Sheets
  • Snowflake
  • 150+ data providers
  • 2,000+ integrations
  • Salesforce
  • HubSpot

Editorial Face-off

The Case for Clay

Clay is the most important tool in the modern GTM stack. Its ability to combine 150+ data providers with AI-powered research and flexible workflows makes it irreplaceable for serious outbound teams. The credit system requires careful management, but the data coverage and workflow capabilities are unmatched.

The Case for Copy.ai

Copy.ai has evolved from a simple AI copywriter to a comprehensive GTM AI platform. Its model-agnostic approach and 2,000+ integrations make it genuinely powerful for enterprise teams. The enterprise case studies are impressive ($16M saved for Lenovo). However, the pricing makes it inaccessible for small teams.

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