Using Claygent for AI web research

All demos from “Full Clay.com Course (2+ Hours)”

1. 33:522:04Importing leads from Apollo to ClayDemonstrates how to use the Apollo integration within Clay to import a filtered list of companies and jobs into a Clay table.Clay· Build a list from ICP filters
2. 38:382:33Normalizing company names in ClayShows the process of using Clay's native enrichment to normalize and clean up company names for use in outreach templates.Clay· Append firmographic/technographic data
3. 41:235:26Using Claygent for AI web researchCurrentWalks through setting up a Claygent (AI Agent) prompt to scrape specific information from LinkedIn profiles or websites automatically.Clay· AI account/prospect research
4. 1:33:272:54Extracting tech stack from job descriptionsDemonstrates using Clay to analyze job descriptions and identify specific technologies like Salesforce or Java used by a company.Clay· Append firmographic/technographic data
5. 1:52:412:59Filtering leads by headcount and locationShows how to apply filters within a Clay table to narrow down a list based on company size and geographic location.Clay· Build a list from ICP filters
6. 2:12:355:10Setting up an email waterfall in ClayExplains and demonstrates the setup of a waterfall enrichment workflow to find and verify work emails using multiple providers.Clay· Waterfall enrichment
7. Watch “Full Clay.com Course (2+ Hours)” →

AI account/prospect research

Clay12Outreach12Salesloft4Pipedrive3Instantly2ZoomInfo2Apollo1GoHighLevel1

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 columnsDemonstrates 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 researchCurrentWalks 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