This workflow analyzes a specified LinkedIn profile to extract its unique writing style from public posts. It then uses AI to generate custom prompts that can replicate this style. Finally, the generated AI prompts are automatically saved to an Airtable database for easy access and reuse.
This workflow automates the creation of marketing content. When new product details are submitted via a Google Form, it uses an AI to generate compelling ad copy and calls-to-action. The generated content is then automatically posted to a Slack channel for review and logged in Airtable for campaign tracking and reuse.
This workflow helps marketing teams analyze competitor LinkedIn posts. It scrapes content from a given LinkedIn post URL, uses AI to extract insights like the post's intent, effectiveness, and key marketing takeaways, and then stores this structured competitive intelligence directly into a Google Sheet.
This workflow enables users to generate complete stories by providing a story idea and desired format. Utilizing advanced AI (GPT), it intelligently crafts and refines narratives through a series of AI-driven steps, from initial analysis to final polished version. The resulting story is then automatically saved to Google Drive for easy access and management.
This workflow is triggered when a new form submission provides a person's name and company. It automatically performs a Google Search to find their LinkedIn profile, then uses AI to analyze the search results and extract relevant profile data. Finally, it generates a personalized buyer persona and follow-up email, sending it via Gmail.
This workflow starts when a LinkedIn profile URL is provided. It uses GenFuse's LinkedIn Scraper to extract detailed profile information. An AI node then processes this data to structure specific fields like name, company, and education, making it ready for lead enrichment or research. Optionally, the structured data can be sent to a CRM.
This workflow is manually triggered by providing a website URL. It scrapes the content of the given URL and then leverages AI to extract key topics and generate a comprehensive list of SEO keywords. Finally, the extracted information, including the URL, topics, and keywords, is stored or updated in an Airtable base.