METHODOLOGY
Most AI visibility tools just track mentions and experiment with prompts to see what might work.
AI models don’t work this way. They generate answers using mathematical representations of meaning.
We analyze those structures using semantic analysis and vector embeddings. This allows us to map semantic gaps, identify the entities AI models rely on, and engineer content with a calculated probability of appearing in AI responses.
That’s why Turbine is an AI visibility lab.
The Turbine AI visibility lab is powered by our proprietary platform.
Track your Visibility Share and average rank across ChatGPT, Gemini, and Perplexity daily. Identify exactly which sources (domains) the LLMs are citing to construct answers about your brand.
Identify exactly which domains are feeding data to the algorithms. Pinpoint high-authority sources citing your competitors and build a Digital PR strategy based on mathematical influence, not just search volume.
Identifying the right prompts is a challenge, so we suggest the most relevant ones for you. Test variations and simulate AI responses in real-time. See how changes in phrasing impact brand mentions and extract semantic keywords before you commit resources to tracking.
See your competitors plotted on a semantic scatter plot. Understand their mention frequency, position dynamics, and the specific terms they own that you don't.
We analyze vector embeddings to calculate the "mathematical distance" between your brand and the entities LLMs associate with your category. We pinpoint the exact semantic concepts you are missing.
Generate content briefs and drafts that are mathematically aligned with the entities and tones LLMs prefer to cite. Move from "guessing" to "engineering" your content.
A digital wallet app struggled to appear in AI recommendations despite strong SEO performance.
Using Turbine’s semantic analysis, we identified the clusters dominating the category and engineered content around the missing associations.
The result: Within 15 weeks the company became one of the most frequently recommended wallets in AI-generated answers.
AI search is becoming a primary discovery channel. Companies that understand how AI models structure knowledge will shape the answers users see. Turbine helps data-driven brands analyze and engineer that visibility.
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