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Direqt

Engage website visitors with AI-powered conversations trained on your content

Custom
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Direqt

Target Audience

  • Online Publishers
  • Media Companies
  • Content Marketing Teams
  • Digital Newsrooms

Hashtags

#ContentMonetization#AIConversations#AudienceEngagement#MediaTech#PublisherChatbots

Overview

Direqt helps publishers create custom AI chatbots that chat with readers using their own content. The tool trains on your articles and brand voice, then embeds directly on your site to boost engagement and revenue. Used by major publishers, it turns passive readers into active participants through personalized conversations.

Key Features

1

Content-Based Training

Chatbot learns from your entire publication archive via RSS feed

2

Brand Personality

Customize chatbot tone to match your publication's voice

3

Revenue Integration

Serve ads and drive subscriptions through chat conversations

4

Site Embedding

Add chatbot anywhere on your website with simple integration

5

Data Ownership

Retain full control over content and user interactions

Use Cases

💬

Chat about article topics with readers

📈

Drive paid subscriptions via chat

🖥️

Serve contextual ads in conversations

🔍

Answer reader questions using past content

🔄

Increase repeat visits through engagement

Pros & Cons

Pros

  • Proven 67% longer user sessions in case studies
  • Direct monetization through in-chat ads
  • Full content/brand control for publishers
  • No coding required for implementation

Cons

  • Specifically designed for publishers - less suitable for other industries
  • Custom pricing may limit smaller publishers

Frequently Asked Questions

How does Direqt train its chatbots?

Chatbots are trained exclusively on your content via RSS feed uploads, learning from your publication archive.

Can we control the chatbot's personality?

Yes, you can refine the chatbot's tone and responses to match your brand voice through the platform.

Who owns the chat data?

Publishers retain full ownership of both content and conversation data according to case studies.

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