Adroitent

Enterprise AI Agent for Publishing: 4X Growth | Adroitent

Customer Story · Publishing · Artificial Intelligence

Enterprise AI services helped develop an AI Agent that improved the customer’s reader user base by 4X and their ROI by 3X.

The customer is a global leading publishing company offering a range of professional print and digital publications, books, and textbooks in specialties such as health, tax, accounting, and legal. The group serves customers in over 100 countries catering to millions of users across the globe.

AI Agent — an LLM-powered AI agent for a global publishing platform

The inflection pointCustomer Business Need

In today's age with more importance to customer experience dominating all businesses, this publishing services customer also wanted to ease the access of its journals and articles to millions of readers and were looking around the possibilities of an AI solution.

  • Ease and quicken the display from their existing collection of journals and articles — which runs in millions — to users based on every user search
  • An AI agent to seamlessly access articles and journals by delivering topic-page generation, article summaries and results summaries
  • Other much-needed publishing-industry in-demand use cases to enhance user experience
Adroitent's Enterprise AI services improved the customer's reader user base by 4X and their ROI by 3X.

The interventionSolution Delivered — an AI agent leveraging LLMs

Adroitent partnered with the customer to develop an AI agent (engine) leveraging LLMs to quicken user access — with a topic-page generator, article summary generator, search results summary generator, and various other use cases to engage their readers.

Topic-page AI Generator

  • Automatically creates topic-focused pages, with related articles, related topics and topical ads for monetization
  • Below the topic page, the article summary and source-articles list are also displayed

Related Questions AI Generator

  • For any topic or keyword searched, generates all related questions to quicken access to the required content instantly
  • Addresses long-tail keywords and niche queries to attract a wider audience and drive organic traffic

Article Summary AI Generator

  • Instantly generates an article summary in a few lines for any article, lengthy or small
  • Identifies key points and provides a shorter version while retaining its essential meaning

Article Results Summary AI Generator

  • For any keyword searched, generates all keyword-related results summaries
  • Enables users to quickly pick the accurate article of their choice, with error-free extraction

Solution highlights

The Topic-page Generator

  • Deep-dived into the customer's database to discover the topic name and search the matched terms
  • The AI agent picked the most relevant or trending subheadings for the topic page
  • The top 10 subheadings were arranged in a sequence for a given or chosen topic keyword
  • Article abstracts were used to create summaries, with quick validation and authentication of results
Azure GPT-4.0PythonSQL ServerAWSLLMs

By the numbers

4X reader user base

3X ROI

Higher organic traffic

Better reader engagement

By the numbers

4X reader user base

3X ROI

Higher organic traffic

Better reader engagement

The payoff4X readers, 3X ROI

Faster Access to Information
The AI agent generates concise summaries of complex topics, helping users quickly find and understand the information they need.
Increases Organic Traffic
By targeting long-tail keywords and niche queries, it attracts a broader audience and boosts organic search visibility.
Improves Reader Engagement
The AI agent enhances the overall user experience by delivering accessible, relevant, and personalized content.
Delivers Actionable Insights
It enables quick analysis of audience data to identify trending topics, helping publishers tailor content to user interests.
Drives Content Ideation
The topic-page generator suggests related and emerging themes, supporting the creation of fresh and relevant content.
Enhances Learning Outcomes
By offering structured and engaging content delivery, the AI agent enriches the learning experience for readers.
Supports Data-Driven Strategy
Performance tracking of AI-generated content provides insights into reader behavior, informing future content planning.
Accelerates Topic Discovery
The AI suggests related articles and topics based on user behavior, broadening content exposure and user exploration.
Saves Time
Summarizes long-form content into digestible snippets, enabling users to absorb key insights quickly.

The stack behind itTools & technology

Azure GPT-4.0PythonSQL ServerAWSLLMs

This engagement was delivered as part of Adroitent's Artificial Intelligence Services practice.

Good to knowFrequently asked questions

What is an AI agent?
An AI agent is a software system that uses large language models and tools to autonomously carry out multi-step tasks — retrieving information, reasoning over it and generating outputs like summaries or pages — with little human intervention, adapting its actions to each request.
How do large language models summarize articles?
An LLM reads the full text, identifies the main ideas and relationships, and generates a shorter version in natural language. Extractive and abstractive techniques, prompting and retrieval help produce accurate, concise summaries while preserving meaning.
What is a topic-page generator in digital publishing?
A topic-page generator automatically assembles a focused page for a subject — pulling relevant articles, related topics, summaries and sometimes ads — using AI to select and sequence the most relevant content, helping publishers scale content and improve discovery.
How does AI improve content discovery and SEO for publishers?
AI surfaces relevant content by matching user intent, generating related questions and long-tail topic pages, and summarizing results. This improves internal discovery, targets niche queries, and increases organic search visibility and reader engagement.
Which models power enterprise AI content applications?
Enterprise content applications commonly pair hosted LLMs such as Azure OpenAI's GPT-4 family with databases like SQL Server and cloud infrastructure such as AWS to retrieve, generate and serve content securely at scale.

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