Back to Tools

Content Hub Classifier

Use cases

Organising existing content into topic clusters Automating content categorisation at scale Identifying content hub categories Extracting subtopics for internal linking

Uses OpenAI gpt-4o-mini with JSON schema validation for consistent structured output.

Selects the most specific and relevant single content hub category, extracts key subtopics as an array, and recommends related products.

Uses UK English conventions.

Exports to CSV with nested arrays encoded as JSON strings.

Streamlit App Requires API Key

Platform

Browser-based (no installation required)

Input

Article text

OpenAI API key

Output

CSV with topic classifications and subtopics

Launch App View Source

Features

  • GPT-4o-mini with structured JSON schema output
  • Primary topic identification
  • Key subtopics extraction (array)
  • Related product recommendations
  • UK English conventions
  • CSV export with JSON-encoded arrays

How to use

  1. 1 Set OPENAI_API_KEY environment variable
  2. 2 Provide article text for analysis
  3. 3 Receive structured classification with topic, subtopics, products
  4. 4 Export results to CSV

Want me to run this for you?

I offer this as a managed service. You get the insights without touching the tool.

Get in Touch

Related Tools

Competitor Content Gap Finder

Content

Discover which descriptive words competitors use in titles that you are missing.

Content Block Extractor

Content

Extract content blocks and XPath patterns using Claude Haiku for template analysis.

Content Consolidation Analyser

Content

Find cannibalising pages by clustering URLs that share SERP overlap.

Let's work together

Monthly retainers or one-off projects. No lengthy reports that sit in a drawer.

Let's Talk