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Clay: Extracting structured data from AI research columns

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Demo summary

Demonstrates how to define AI outputs to create structured columns (e.g., True/False for turnover) and using formulas to parse AI-generated text.

All demos from “Did This AI Tool Just Change Sales Forever? (Clay AI Review)

  1. 0:400:26Building a lead list with ICP filters in ClayThe user demonstrates creating a new table in Clay and filtering for software companies by employee size to generate a prospect list.ClayBuild a list from ICP filters
  2. 2:541:17Researching negative Glassdoor reviews with Clay AIShows how to use Clay's AI enrichment to search Glassdoor and Indeed for specific negative employee feedback regarding HR processes to use as a sales trigger.ClayAI account/prospect research
  3. 4:520:47Extracting structured data from AI research columnsCurrentDemonstrates how to define AI outputs to create structured columns (e.g., True/False for turnover) and using formulas to parse AI-generated text.ClayAI account/prospect research
  4. 6:370:52Scraping local businesses from Google Maps with ClayThe user demonstrates using the Google Maps integration in Clay to find coffee shops in a specific geographic area and then uses AI to check their reviews for payment issues.ClayScrape local businesses / maps
  5. Watch “Did This AI Tool Just Change Sales Forever? (Clay AI Review)” →

AI account/prospect research

  1. 2:541:17Researching negative Glassdoor reviews with Clay AIShows how to use Clay's AI enrichment to search Glassdoor and Indeed for specific negative employee feedback regarding HR processes to use as a sales trigger.@Sales_Feed
  2. 4:520:47Extracting structured data from AI research columnsCurrentDemonstrates how to define AI outputs to create structured columns (e.g., True/False for turnover) and using formulas to parse AI-generated text.@Sales_Feed
  3. 17:227:47AI-powered company research and summarizationDemonstrates using Clay's AI (GPT and Sonet models) to scrape company websites and generate summaries to qualify if a lead is B2B or B2C.@matthewlucero
  4. 12:299:23Using Clay formulas for data cleaningWalks through writing and running formulas to normalize domains and handle conditional logic for data enrichment.@ericnowoslawski
  5. 26:093:23Scraping company mission statements with AIShows how to use Clay's web scraper and AI to find and summarize a company's mission statement from their website for research purposes.@matthewlucero
  6. 41:235:26Using Claygent for AI web researchWalks through setting up a Claygent (AI Agent) prompt to scrape specific information from LinkedIn profiles or websites automatically.@Tim-Yakubson
  7. 4:362:38Using AI Prompts for Persona Research in ClayDemonstrates using Clay's AI prompts to analyze company data and automatically identify target personas like Chief Information Security Officers.@MarkColgan
  8. 11:561:19Finding competitors with Claygent AIDemonstrates using Claygent (Clay's AI agent) to browse company websites and identify their top three competitors for use in sales outreach.@OskarMoen
  9. 2:582:53AI account research and filtering in ClayThe video shows how to use Clay's AI formulas and text scrapers to identify if companies are running Facebook ads and to filter them based on specific business criteria.@heyreach
  10. 5:401:49Data manipulation and research with Clay AIShows how to use natural language instructions to manipulate data and perform research tasks within the Clay table.@matthewlucero
  11. 13:524:44Enriching prospect data with ClaygentDemonstration of using Clay and Claygent to find company information, website data, and decision-maker profiles based on a list of prospects.@heyreach
  12. 27:374:20Building a prospect dossier with AI agentsA walkthrough of setting up an AI agent in Clay to scrape LinkedIn and web data to find professional achievements and strategic relevance for a lead.@smartleadai

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