Darwin is a self-improving AI website chat that learns from pages and documents to answer buyer questions in the site’s own voice. It tests openings and reply buttons on every page, keeping the winning approach that books more meetings. The system can be configured to offer outcomes such as meetings, quotes, callbacks or custom requests, and it runs on a user’s website with a one-line integration option. It aims to convert visitors into concrete actions while maintaining control over when changes go live.
Darwin reads the user’s site and documents, follows provided business context, and fills in already-given details so it asks only what is missing. It answers follow-up questions and can offer a time while a buyer is still deciding. It supports multiple channels and can be added to the site using Webflow, WordPress, Framer or Google Tag Manager, among other methods.
The tool is designed to be configurable by teams, with rules that determine who fits and where conversations happen. It can route qualified leads to calendars such as Google Calendar or Calendly and push data to CRMs through Zapier, webhooks or APIs. It emphasizes that conversations and outcomes are tracked page by page and that teams stay in charge of changes.
Darwin integrates with calendars, CRMs, site builders and AI assistants to connect with existing workflows. It offers an API and MCP server for developers and emphasizes privacy and security through configurable consent lines and source-attribution for answers.
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