Hello Ryan, thank you for reaching out! 👋
If you already have 500 companies pulled in from Apollo, you can use Claygent to quickly scrape recent news articles about each of those companies and then feed that data into your GPT model to craft highly personalized emails.
Here are the steps:
1. In your Clay workspace, select the “Enrichment” panel and locate Claygent under the “Tools” section (listed under “AI”).
2. For each company row (with either the domain or company name), configure the prompt to search for the most recent news articles. Keep your prompt targeted and direct (e.g., “Find the newest news articles about Company Name from reliable media outlets”). This helps Claygent run efficiently and saves credits.
3. Once Claygent has pulled in the latest news snippets, pass those details into your trained GPT model. Prompt your model to generate a personalized email for each company referencing their most recent news.
Tip to Save Credits: try a small subset of companies first to confirm the accuracy of your prompts and reduce unwanted overuse of the model.
For more step-by-step details on how to harness Claygent for web scraping and data enrichment, check out our guide here:
Claygent: AI Web Scraper Guide
I hope this helps you streamline your workflow and cut down on credits. If any other questions come up, just let me know! 😁
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