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AI-Powered GTM Automation

Unlock GTM alpha with AI workflows that save time, reduce costs, and drive conversion

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How AI is Reshaping Go-to-Market Strategy
0
How AI is Reshaping Go-to-Market Strategy
GTM's AI Toolbox: The FETC Framework
1
GTM's AI Toolbox: The FETC Framework
Best Practices To Maximize Your Credits
2
Best Practices To Maximize Your Credits
Find: AI-Driven Lead Discovery
3
Find: AI-Driven Lead Discovery
Find Your ICP with AI
4
Find Your ICP with AI
Find Your Next Customer with Company Lookalikes
5
Find Your Next Customer with Company Lookalikes
Enrich: Build Complete Prospect Profiles with AI
6
Enrich: Build Complete Prospect Profiles with AI
Enrich with Claygent for Last-Mile Data Discovery
7
Enrich with Claygent for Last-Mile Data Discovery
Enrich with Perplexity
8
Enrich with Perplexity
Enrich Images and Screenshots
9
Enrich Images and Screenshots
Enrich from Financial Filings
10
Enrich from Financial Filings
Transform: Clean, Structure, and Segment Data with AI
11
Transform: Clean, Structure, and Segment Data with AI
Transform with AI Formulas (and Optimize Credits)
12
Transform with AI Formulas (and Optimize Credits)
Transform Data Into Clear Classifications
13
Transform Data Into Clear Classifications
Create: AI-Driven Effortless Output
14
Create: AI-Driven Effortless Output
Create Personalized Content at Scale
15
Create Personalized Content at Scale
Create Multi-Step Sequence Messaging with Twain
16
Create Multi-Step Sequence Messaging with Twain
AI-Powered GTM is Constantly Evolving
17
AI-Powered GTM is Constantly Evolving

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Enrich: Build Complete Prospect Profiles with AI
About this lesson
00:00

We just finished exploring how to use AI to supercharge the Find step of your workflow. Now let's move to the second step in the FETC ("fetch") framework: Enrich.

This is where you start to add real context to your prospecting data. Once you've found your initial list of accounts or contacts, it's time to enrich that data with meaning.

🧭 Beyond Basic Contact Information

In Clay, you can use waterfalls to pull in essential details like emails and phone numbers. But with AI integrations, enrichment goes beyond basic contact info.

You can use AI to:

  • Extract unique attributes from a company's website
  • Summarize recent news or thought leadership
  • Identify product features, pricing models, or positioning
  • Generate custom signals that don't exist in any database

🔬 Practical Example: Enriching Startup Data

For example, let's say you scraped a list of top startups in the US. With AI enrichment, you can pull:

  • Their headcount and funding rounds
  • Whether they offer a free trial
  • Recent quotes from their founders
  • Or who their typical customers are, based on how they talk about their product

This kind of context makes your messaging more relevant, your prioritization more intelligent, and your workflows far more effective.

📚 What's Coming in the Next Lessons

In the upcoming lessons, we'll show you how to use AI to:

  • Enrich with Claygent for last-mile discovery
  • Pull real-time insights with Perplexity
  • Analyze images and screenshots to extract hidden signals
  • Extract strategic insights from financial filings

💫 Why Enrichment Matters

AI-powered enrichment transforms your prospecting in several key ways:

  1. It provides context that makes your outreach more personalized and relevant
  2. It helps you prioritize prospects based on fit signals that aren't available in standard databases
  3. It gives you unique insights that your competitors don't have access to
  4. It automates what would otherwise be hours of manual research

By leveraging AI to enrich your prospect data, you're building a foundation for more effective targeting, more engaging messaging, and ultimately, more successful outreach campaigns.

Next up
AI-Powered GTM Automation

Enrich with Claygent for Last-Mile Data Discovery

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AI Skills Certification

Showcase your proficiency in leveraging AI within Clay to transform raw data into intelligent, actionable insights. Demonstrate your ability to engineer effective AI prompts, enrich data in creative ways using Claygent and AI tools, intelligently classify complex information, create dynamic AI-powered content, handle edge cases with conditional logic, and strategically combine multiple AI capabilities to solve sophisticated problems.

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