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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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Find: AI-Driven Lead Discovery
About this lesson
00:00

We've covered the FETC ("fetch") framework and how to maximize your Clay credits. In this lesson, we'll dive into the first step in the FETC framework: Find.

This is where every good workflow begins. You can't enrich, transform, or create anything if you don't have the right data to start with.

🌟 The Evolution of "Find"

In the original FETE framework, "Find" referred to pulling data from your CRM, your prospecting tools, or Clay's built-in search features.

That's still the foundation...

But with AI, you're not just filtering for basic attributes. You're discovering leads based on complex patterns and inferred signals.

🚀 AI-Powered Finding

With AI integration, the "Find" step becomes significantly more powerful. In Clay, you can now:

  • Use AI to analyze a customer's website and auto-generate a company search based on their ICP
  • Run an AI job title classifier to find the right personas across your list
  • Use Claygent to discover prospects who meet nuanced, intent-based criteria (like "founders who've recently spoken about scaling product teams")
  • Use AI to rank and score the results of a search based on fit,not just firmographics

This level of targeting would be impossible—or painfully manual—without AI. And it's just the beginning.

🗓️ What's Coming Next

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

  • Find your ICP using AI
  • Uncover company lookalikes to discover your next best customer

These powerful techniques will help you identify prospects with unprecedented precision, allowing you to focus your efforts on the accounts most likely to convert.

💥 Why "Find" Matters

The quality of your initial data set determines everything that follows in your workflow. When you find the right prospects from the start:

  • Your enrichment becomes more targeted and effective
  • Your transformations produce more valuable insights
  • Your created content resonates more deeply with prospects

By leveraging AI in the "Find" step, you're not just starting with better data—you're building a foundation for significantly better results throughout your entire GTM process.

Next up
AI-Powered GTM Automation

Find Your ICP with AI

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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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