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Answer HQ

Automated Customer Support, Powered By Your Own Content

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Description

Answer HQ is an AI tool designed to automate customer support by utilizing a business's existing content. It creates a secure 'Knowledge Vault' by connecting to a company's website and processing uploaded documents such as PDFs and text files. This allows the AI to understand the business specifics and provide instant, accurate answers to customer inquiries, significantly reducing the need for human agents to handle repetitive questions.

The platform emphasizes trust and accuracy through features like 'Quick Citations,' which provides the source for every answer, enabling customers to verify information and explore further. It also includes 'Knowledge Gap' analysis to identify unanswered customer questions and pinpoint areas where the knowledge base needs expansion. Additionally, 'Boosts' offer extendable functionalities, such as seamlessly handing off complex queries to human support agents. Answer HQ aims to free up support teams for more complex tasks while ensuring customers receive timely assistance.

Key Features

  • Secure Knowledge Vault: Learns from connected websites and uploaded documents.
  • Instant & Accurate Answers: Responds to customer questions in seconds based on the Knowledge Vault.
  • Handles Unknowns: Admits when unsure and declines irrelevant questions.
  • Quick Citations: Shows the exact source (webpage/document) for each answer for verification.
  • Knowledge Gap Identification: Highlights unanswered customer questions and topics needing content.
  • Boosts: Extensible abilities like 'Talk to a Human' for smooth handoffs.
  • Easy Setup: Connect content sources in minutes via a self-service platform.
  • Content Import: Supports importing from websites, PDFs, and text files (plan dependent).
  • Analytics & Themes: Provides insights and customization options.

Use Cases

  • Automating responses to frequently asked customer support questions.
  • Providing 24/7 customer support availability.
  • Reducing the workload of human support teams.
  • Improving customer self-service capabilities.
  • Identifying gaps in help documentation or knowledge base.
  • Building customer trust through verifiable, source-backed answers.

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