We analyze all your content at scale and suggest new versions with higher semantic proximity.
Enter the name of your product or a competitor you want to analyze.

Add the main website URL for precision.

Write a one-sentence description of what the product does. This ensures the AI identifies the correct brand context.

Voila! Discover how LLMs perceive this brand and see the topics and prompts they associate with it.
This is how the model currently perceives your pros and cons. If you haven't worked on AI visibility yet, use it as a starting point. Identify your semantic gaps and bridge them with the right content to shift the perception.

The models might group you with competitors you didn't expect. Use this for inspiration. You can see exactly which sources drive your competitors' visibility and adopt their strategy using our report.

This reflects publicly available reviews and customer feedback that the AI has digested. To improve these results, work on your community presence and reviews (both on-site and off-site).


We recommend exploring these specific topics and prompts to start tracking your visibility. Check if you are visible for them right now, and choose the ones where you want to be seen.
Get your free AI visibility report →We intentionally disable web browsing here to reveal the model's internal training data about you. You can unlock live search analysis in our paid tiers.
Explore Turbine's pricing →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.
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.
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