Generative Engine Optimization

Notos AI helps organizations become visible, understood and recommended by generative AI systems such as ChatGPT, Gemini and Perplexity.

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Search is evolving into AI-driven discovery

People are no longer only searching. They are asking AI systems.

AI systems like ChatGPT and Gemini generate answers instead of search results. To stay discoverable, brands must be clearly understood and trusted by AI.

What is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO) is the practice of improving how organizations appear in AI-generated answers.Unlike traditional SEO, GEO focuses on how AI systems interpret, structure and cite information when generating responses.GEO combines structured knowledge design, entity clarity and AI visibility signals to increase the probability that a brand is recommended by AI systems.

The GEO framework

AI visibility

AI Visibility

Ensuring that relevant information about your organization is accessible and interpretable by generative AI systems such as ChatGPT, Gemini and Perplexity.

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Entity Clarity

Entity Clarity

Structuring brand, product and expertise signals so AI models clearly understand what your organization represents.

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Structured intelligence

Structured Intelligence

Designing content and knowledge structures that generative AI systems can interpret reliably when generating answers.

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Insights on AI Visibility and GEO

Research and insights on how generative AI systems interpret brands, organizations and expertise in AI-driven discovery environments.

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How Notos AI helps organizations improve AI visibility

We analyze how your brand appears in AI-generated answers and design strategies that improve your visibility, clarity and recommendation probability in AI-driven discovery environments.

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  • AI Visibility Audit
    A structured analysis of how your organization appears in AI-generated answers across major generative AI platforms.

  • GEO Strategy
    Designing a strategic roadmap to improve your brand’s presence and recommendation probability in AI-driven discovery environments.

  • AI-readadable Knowledge Architecture
    Building AI-readable knowledge structures that help generative models interpret your organization correctly.