- Customer Automation
- AI Review Management
- Automated review tracking
Using AI: log and track new reviews in a database or project management system
Automatically capturing and organizing incoming customer feedback into a centralized system streamlines data collection and ensures no insights slip through the cracks. AI-driven parsing and summarization instantly transforms raw reviews into actionable summaries, saving teams hours of manual sorting and interpretation. By logging every new review in a structured database or project tracker, organizations gain consistent visibility into product sentiment and can prioritize improvements with confidence.
Filter by common apps:
Appbot
Code by Zapier
AI by Zapier
Jira Software Cloud
Airtable
Delay by Zapier
ChatGPT (OpenAI)
Gmail
Notion
Google Docs
Slack
WordPress
Anthropic (Claude)
Formatter by Zapier
Enterpret
- Analyze new app reviews, extract insights, and create issues in Jira
- Gather product reviews from Airtable, generate insights with ChatGPT, and update Airtable records
Gather product reviews from Airtable, generate insights with ChatGPT, and update Airtable records
- Update Airtable record with review details from new Gmail email, and generate response with ChatGPT
Update Airtable record with review details from new Gmail email, and generate response with ChatGPT
- Generate summary review from Notion, create document in Google Docs, and share in Slack
Generate summary review from Notion, create document in Google Docs, and share in Slack
- Review new blog draft in WordPress for SEO and content quality, and log feedback in Notion
Review new blog draft in WordPress for SEO and content quality, and log feedback in Notion
- Create and review data from new Jira issues, format text, and ingest into Enterpret
Create and review data from new Jira issues, format text, and ingest into Enterpret