TURBINE FOR CONTENT TEAMS

Stop guessing. Write content that LLMs are mathematically likely to cite.

Move from keyword stuffing to entity optimization. Use data science to create content that aligns with the semantic logic of modern AI models.
SEO limits
ALGORITHM_SHIFT
Traditional SEO tactics reach a limit in AI search. High rankings on Google do not guarantee citations in ChatGPT, which relies on vector proximity rather than keywords.
Semantic distance
THE_NEW_METRIC
To be cited, your content must minimize the mathematical distance between the user's prompt and your brand's entities.

Data-driven content execution

Stop relying on intuition. Turbine provides a scientific workflow to plan, produce, and validate content that improves your Visibility Share.

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Measure impact

Keep a daily pulse on your content's performance. Monitor how often your articles are cited and how your Visibility Share fluctuates across specific topics and prompts in ChatGPT, Gemini, and Perplexity.

>> Explore monitoring
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See what is missing

Identify the topics and entities your competitors are associated with, but you are not. Pinpoint the specific gaps in your content coverage that prevent LLMs from viewing you as the topical authority.

>> Explore semantic gap analysis
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Turn insights into action

Move from recommendation to execution. Generate outlines, briefs, and drafts aligned with AI-recommended entities and tone to ensure your new content is mathematically optimized for citation.

>> Explore content development

The math behind meaning

LLMs do not "read" like humans. They calculate vector distance between concepts. Turbine solves this equation for you. We analyze the entire semantic network around your brand to show you exactly how to position your content closer to the cluster center where citations happen.

Book a methodology walkthrough

Make your content count

Start publishing content that moves the needle in AI search.

Generate your first report

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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FAQ

How many prompts can I track per week?
Are the recommendations generated automatically or reviewed by human analysts?
Can I customize which prompts are monitored?
How soon will I see results from the recommendations?
Does Turbine show which sources power chatbot responses?
Can I track competitors alongside my own brand?