"GEO. Generative engine optimization. "Optimizes content for generative AI search environments (like LLM-powered engines) to make it discoverable, trustworthy, and authoritative." AEO. Answer/Agentic Engine Optimization. "Optimizes content for AI agents and assistants (like Copilot or ChatGPT) so they can find, understand, and present answers effectively." I question the need for new acronyms, as the concepts have existed for years in traditional search engine optimization. "GEO" is synonymous with " EEAT " - Experience, Expertise, Authoritativeness, Trustworthiness - Google's term when instructing human quality raters. "AEO" is akin to optimizing for featured snippets in traditional search results."
"The key difference is that GEO and AEO focus on a product's pre-training data to impact exposure in AI answers. And GEO extends beyond a site's content to include external resources such as reviews, Reddit mentions, product-comparison articles, and similar. Intent-driven product data To me, the most useful part of the guide reinforces my article on optimizing product feeds for AI. Product feeds and on-page descriptions should clearly address use cases, such as shoes "best for day hikes above 40 degrees.""
GEO stands for Generative Engine Optimization and optimizes content for generative AI search environments to make it discoverable, trustworthy, and authoritative. AEO stands for Answer/Agentic Engine Optimization and optimizes content for AI agents and assistants so they can find, understand, and present answers. GEO and AEO emphasize product pre-training data and external resources such as reviews, forum mentions, and comparison articles as signals for AI exposure. Product feeds and on-page descriptions should address specific use cases and include detailed titles, benefit-led descriptions, Q&A, comparison tables, rich image alt text, and complementary product information.
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