This workflow triggers when a new row is added to a Google Sheet containing a company website URL. It then scrapes the content from that website, uses an AI model to extract key company information such as market, industry, target audience, and value proposition. Finally, the workflow updates the original Google Sheet row with this enriched data.
This workflow triggers when a new company name is added to a Google Sheet. It uses an AI to find detailed information about the company (e.g., industry, size, website). It then checks HubSpot for an existing company record. If not found, it creates a new company in HubSpot and updates the original Google Sheet row with the enriched data.
This workflow automates sales lead enrichment. It starts with a company name, searches Google to find the company's primary website and LinkedIn profile, and then scrapes the website content. An AI then analyzes this information to extract specific details like pricing plans (e.g., free trial, enterprise plan) and market type (B2B/B2C), ultimately providing enriched data for sales outreach.
This workflow starts when a new lead is added to Google Sheets. It performs a Google search to find the lead's LinkedIn profile and company page, then scrapes the relevant data. An AI then generates a personalized sales email based on the gathered information, which is then sent via Gmail.
This workflow automatically detects new customer feedback submitted via Google Forms (by monitoring a Google Sheet). It then uses AI to analyze the feedback content and extract impactful testimonial quotes. The extracted quotes are saved to a Google Sheet database, and an email notification is sent to the marketing team with the new testimonial.
This workflow enables users to submit website URLs via Slack for automated evaluation. It scrapes the target website's content, then uses AI to analyze its potential business impact by incorporating context from a Google Sheet. Finally, it provides a detailed, structured report back in Slack and logs all analysis results into Google Sheets for record-keeping.
This workflow is triggered when a new row is added to a Google Sheet containing a document link. It processes the document (e.g., a PDF resume) by extracting its text content. Using prompts fetched from another Google Sheet, an AI extracts specific fields of information. Finally, the extracted data is updated back into the original Google Sheet row.