Responsible for brand visibility, data quality, and predictable pipeline growth?
Mastering
GENERATIVE ENGINE
Optimization (GEO)
Understand the exact data sources AI systems rely on for their answers—and why third-party mentions often matter more than your polished landing pages.
How to map the real, non-synthetic questions your actual buyers are asking AI across the entire funnel.
Step-by-step guidance on structuring your data, leveraging third-party marketplaces, and earning the human-reviewed mentions that models prioritize.
Learn how to analyze how AI interprets your existing content and exactly what structural changes are needed to get cited and recommended.
Structuring on-page content, entities, and phrasing to ensure inclusion and correct positioning in LLM-driven answers.
Tracking brand visibility, prompt universes, and traffic pipelines originating from AI engines like Perplexity, Google AI Overviews, and Copilot.
Leveraging high-citation platforms (like Reddit, LinkedIn, and G2) that AI models actually trust and pull from when forming answers.
Transforming unstructured marketing fluff into the clear methodologies, pricing data, and testimonials that generative engines require to recommend a brand.
Orel Emil Ohayon is the Founder and CEO of iGEO.ai, an Agentic Brand Performance platform built for the new era of search. While most marketers are still playing by the old rules of traditional SEO, Orel is pioneering Generative Engine Optimization (GEO)—helping companies fundamentally rethink their digital strategy to capture the attention of AI agents.
If your brand isn’t the answer inside ChatGPT, Gemini, or Perplexity, you are already losing visibility.
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