# Enterpret > Customer intelligence platform that structures feedback from support, sales and market channels for teams and AI tools. Enterpret is a customer intelligence platform that gathers feedback from support tickets, sales calls, surveys, reviews and social channels and sorts it into consistent themes. Enterpret links each theme to customer segments and product areas, and teams query the result through dashboards, an AI assistant or an MCP server connected to tools such as Claude and ChatGPT. **Best for:** Product, customer experience and support teams at software companies that receive feedback from many channels and want one structured view of it. - Official site: https://www.enterpret.com - Listed in: [Customer Service](https://trendhub.net/ai-tools/category/customer-service), [Data Analysis & Analytics](https://trendhub.net/ai-tools/category/data-analytics) - Last checked: 2026-10-09 (facts taken from enterpret.com) - Source page: https://trendhub.net/ai-tools/enterpret-customer-feedback-intelligence-platform ## Key facts - Platforms: Web, MCP - Made by: Enterpret ## What is Enterpret? Enterpret is a customer intelligence platform that turns scattered customer feedback into a structured record a company can analyse. It ingests support tickets, sales calls, survey answers, public reviews, social and community posts, CRM data and product usage signals. An adaptive taxonomy groups this material into themes that are updated as the product and the vocabulary of customers change. A context graph then attaches details such as segment, lifetime value, lifecycle stage and product area to each signal, so an issue can be weighed by who raised it. Teams explore the data in dashboards, ask questions through the built-in AI, or reach it from Claude, ChatGPT and internal tools over the Enterpret MCP server. Findings can be pushed into Jira, Linear and Slack as tickets, alerts or automated workflows. ## Key features - **Feedback Integrations**: Collects tickets, call recordings, surveys, reviews, social posts and CRM records from separate systems into one dataset. - **Adaptive Taxonomy**: Classifies incoming feedback into themes and categories that are revised as products and customer wording shift. - **Customer Context Graph**: Ties each piece of feedback to segment, lifetime value, lifecycle stage, usage and the product area it concerns. - **Dashboards and AI Insights**: Charts theme volumes and lets users type questions about feedback and receive evidence-backed answers. - **Enterpret MCP Server**: Exposes the structured feedback to Claude, ChatGPT and in-house tools so they can query it directly. - **AI Agents and Workflow Actions**: Creates tickets and alerts in Jira, Linear or Slack from a finding and detects when an issue has been resolved. ## Use cases - **Roadmap Prioritisation**: A product manager ranks feature requests by the revenue and segment of the customers asking for them. - **Reducing Repeat Support Contacts**: A support lead finds which issues cause customers to write in several times and routes them to engineering. - **Spotting Churn Signals**: A CX team reviews which complaints tend to appear in the weeks before accounts cancel. - **Checking Whether a Fix Worked**: After a release, a team compares ticket volume and sentiment for the affected theme before and after launch. - **Surfacing Deal Blockers**: Sales operations pulls objections and product gaps out of call transcripts and CRM notes. ## Things to know - **No public price list**: The pages reviewed show no plans or prices; access starts with a guided product trial or a booked demo. - **Free companion tools**: The site footer links two free utilities, an App Review Analyzer and a Survey Data Analyzer, separate from the main platform. - **Works alongside general AI tools**: The site positions Enterpret as a data layer for assistants like Claude and ChatGPT, not as a replacement for them. ## FAQs ### What is Enterpret? Enterpret is a customer intelligence platform that collects feedback from many channels and organises it into themes connected to customer and product context. ### What is Enterpret used for? Enterpret is used to decide what to fix or build next, to find the causes of support volume and churn, and to measure whether a product change reduced the related complaints. ### Which feedback sources does Enterpret support? Enterpret takes in survey answers, reviews, sales calls and support tickets, along with social and community discussions, market research, CRM data and product usage signals. ### Does Enterpret work with Claude or ChatGPT? Yes. Enterpret offers an MCP server so that Claude, ChatGPT and internal tools can query the structured feedback and act on it. ### Which work tools does Enterpret integrate with? Enterpret lists integrations with Slack, Jira, Linear and Salesforce, alongside other ticketing, CRM and collaboration systems. ### Who uses Enterpret? Enterpret is aimed at product, customer experience, support, operations and go-to-market teams at fast-moving product companies. ### How much does Enterpret cost? Enterpret does not publish prices on the pages reviewed; the site offers a product trial on your own data and a demo booking instead. --- Source: https://trendhub.net/ai-tools/enterpret-customer-feedback-intelligence-platform (trendhub)