Inkeep - Features

Inkeep

Inkeep - Features
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Product Features of Inkeep

Overview

Inkeep is an advanced AI search and content support platform designed to enhance user experience by transforming existing content into a reliable AI copilot. It provides seamless integration with various documentation and support channels, enabling organizations to answer user queries instantly.

Main Purpose and Target User Group

The primary purpose of Inkeep is to empower high-growth teams by providing a centralized solution for answering user, support, and sales questions using their own knowledge base. It is ideal for enterprises, startups, and any organization looking to improve customer support and engagement through AI-driven solutions.

Function Details and Operations

  • Effortless content ingestion from multiple sources including documentation, websites, blogs, help center articles, support tickets, Slack channels, Discord channels, and community forums.
  • Easy integration by adding a snippet of JavaScript to any platform, allowing for quick setup in under 10 minutes.
  • AI-powered search and chat functionalities that provide accurate answers to over 250,000 questions per month.
  • Customizable chat and search components to match brand aesthetics and user experience.

User Benefits

  • Reduces support volume by providing authentic self-help experiences.
  • Enhances user engagement with high-quality search and chat capabilities.
  • Offers insights into user interactions, helping teams identify documentation gaps and improve content.
  • Provides rich citations and maintains topic relevance, ensuring trustworthy responses.

Compatibility and Integration

Inkeep can be integrated into various platforms including documentation sites, websites, applications, and community forums. It supports integration with popular tools like Slack and Zendesk, allowing for a versatile user support experience.

Access and Activation Method

To get started with Inkeep, users can sign up for a free trial on the website. The onboarding process involves adding content sources and embedding the necessary JavaScript code to activate the AI search and support features.