This workflow automatically generates detailed product comparison content. It can be triggered manually or when a new row is added to Google Sheets, taking two product names as input. An AI model then generates a compelling title, a feature-by-feature comparison, use-case recommendations, and an FAQ section. Finally, the generated content is saved into a Google Sheet for review or publishing.
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 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 monitors a Google Sheet for new customer feedback submissions. It then uses Gemini AI to analyze the feedback, extracting emotionally engaging and impactful testimonial quotes. Finally, the extracted testimonials are automatically added to a "Testimony" column in the Google Sheet, and an email notification is sent to the marketing team.
This workflow collects article details via a form (e.g., Google Forms). It then uses AI to generate an article outline and the full article content based on the inputs. Finally, it saves the generated content to Google Drive and updates a Google Sheet with links for tracking article progress.
This workflow is manually triggered by providing a brand URL. It then uses GenFuse's scraping capabilities to extract content from that URL. The extracted content is sent to an AI model (like Google Gemini) for summarization and sentiment analysis, providing insights into brand perception. The final analyzed content can then be displayed or sent to another app.
This workflow automatically processes text data from new rows in a Google Sheet using a Large Language Model. It ensures GDPR compliance by routing all AI requests through Requesty.ai's European-based infrastructure, then updates the Google Sheet with the AI's output.