TOOLS

AI Brand Scanner

Don’t guess how LLMs see your brand. See the data.
Brand name
Brand domain
Business description
Email
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About your brand

Strengths
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Weaknesses
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Comparison to competitors
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Customer feedback
Likes
Dislikes

Suggested AI search topics and prompts

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Make LLMs choose you

We analyze all your content at scale and suggest new versions with higher semantic proximity.

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How to use

1. Enter the brand name

Enter the name of your product or a competitor you want to analyze.

2. Add the website

Add the main website URL for precision.

3. Describe

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

Wait 10 seconds and...

Voila! Discover how LLMs perceive this brand and see the topics and prompts they associate with it.

How to read the results

Strengths and Weaknesses

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.

Check your content for Semantic Proximity →

Comparison to competitors

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.

Get your free competitor report →

Likes and Dislikes

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).

Suggested topics and prompts

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 →

Good to know

We don't use LLM's search mode here

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 →

Hallucinations reveal content gaps

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.

Keyword search (SEO) vs. Semantic search (GEO)

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.

How LLMs view content

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.

Talk to an expert

The research

>> More publications

Access our findings

The algorithms change daily. We track thousands of prompts and publish our internal experiments on prompt volatility, ranking factors, and semantic gaps.

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