What Is Generative Engine Optimization?
Generative Engine Optimization is the practice of making a brand easy for AI answer engines to understand, trust, cite, and recommend.
SEO is for Google. GEO is for AI answer engines.
GeoMonitor measures whether ChatGPT, Claude, Perplexity, and other answer engines mention your product when buyers ask for the best tools in your category.
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Enter your product name, target buying-intent queries, and competitors.
GeoMonitor asks ChatGPT, Claude, and Perplexity the questions your customers ask.
Track mentions, ranking position, sentiment, and the actions needed to become more visible.
One number that tells you how visible your product is in AI-generated recommendations.
Traditional SEO tells you where your website ranks. GeoMonitor tells you whether AI answer engines understand your brand, cite the right context, and recommend your product against competitors.
Guides for improving AI search visibility, answer-engine citations, and competitor share of voice.
Generative Engine Optimization is the practice of making a brand easy for AI answer engines to understand, trust, cite, and recommend.
AI visibility measurement needs repeated prompts, multiple engines, competitor baselines, and a score that separates awareness from recommendation quality.
SaaS teams can improve AI recommendations by publishing content that makes product fit, differentiation, and proof easy to extract.
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GEO monitoring tracks how generative AI answer engines mention, rank, and describe your product for high-intent customer questions.
The score combines mention rate, average recommendation position, sentiment, and answer-engine coverage into one 0-100 visibility metric.
GeoMonitor currently scans OpenAI, Anthropic Claude, and Perplexity, with the engine layer designed for additional answer engines.