We extract the most valuable keywords and suggest improved content, so you appear in the prompts that matter.
Traditional SEO optimizes for keyword frequency and search engine rankings. Generative Engine Optimization (GEO) focuses on how AI models like ChatGPT or Perplexity understand and cite your content semantically.
Language models don't count keywords, they interpret meaning through embeddings. They identify concepts by semantic importance, not repetition. A word appearing once can be more significant than one repeated ten times.
Understand which concepts AI actually extracts from your content. Optimize for semantic relevance and thematic coherence. Ensure your most important ideas are semantically clear, not just keyword-dense.
We use embeddings to extract keywords ranked by semantic weight (the same way language models interpret text). Keywords are then clustered into themes, revealing how AI structures the meaning of your content.
We show you what AI sees. While traditional tools show word frequency, we reveal semantic importance. It's the difference between counting mentions and understanding meaning.
Start with 10-20 keywords and 3 clusters to see core themes. Adjust diversity (0-1) to control variation. Use auto-cluster to find optimal groupings. Compare results with your target keywords to see if AI interprets your content as intended.
Yes. Paste any URL to see how AI interprets competitor pages. Identify semantic gaps and opportunities in your content strategy.
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