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Generative Engine Optimization (GEO) is an emerging strategy for adapting content to generative search engines like Google SGE, Gemini, ChatGPT, or Perplexity. Its goal is not only traditional SERP ranking, but also to ensure your content is directly cited in AI-generated answers.
Some of its key features are:
* Clear structure: well-organized content is favored, using lists, tables, headings, and direct answers.
* Use of reliable sources, verifiable data, and statistics as support.
* Semantic optimization: natural language, listening to search intent, covering related topics to provide context.
* Structured metadata and schemas help AI models better interpret content.
Implementing GEO can offset the decline in organic traffic caused by zero-click searches by achieving direct visibility in AI and maintaining brand authority.
Some of its key features are:
* Clear structure: well-organized content is favored, using lists, tables, headings, and direct answers.
* Use of reliable sources, verifiable data, and statistics as support.
* Semantic optimization: natural language, listening to search intent, covering related topics to provide context.
* Structured metadata and schemas help AI models better interpret content.
Implementing GEO can offset the decline in organic traffic caused by zero-click searches by achieving direct visibility in AI and maintaining brand authority.