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Keyword Topic Classifier

Use cases

Content strategy planning Topic clustering for pillar pages Organising keyword research exports Identifying content gaps by theme

Hierarchical theme/subtheme classification with 0-1 confidence scores.

Claude models: Sonnet 4.5, Sonnet 4, Haiku 4.5.

GPT models: gpt-4o-mini, gpt-4o, gpt-4.1.

OpenAI uses structured JSON schema validation.

Batch processing (10-50 keywords, default 30) with 1-second delays.

Streamlit App Requires API Key

Platform

Browser-based (no installation required)

Input

Anthropic or OpenAI API key

Keywords: comma/newline separated or CSV/Excel

Optional: grouping column for page-level analysis

Output

Keywords with theme, subtheme, and confidence (0-1). Expandable theme groups. CSV/Excel export.

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Features

  • Claude Sonnet/Haiku and GPT-4o model options
  • Hierarchical theme + subtheme classification
  • 0-1 confidence scores per keyword
  • Configurable batch size (10-50, default 30)
  • Optional URL/page grouping column

How to use

  1. 1 Select AI provider and model
  2. 2 Configure batch size (higher = faster)
  3. 3 Paste keywords or upload file
  4. 4 Optionally group by URL column
  5. 5 Review expandable theme sections with confidence

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

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