GEO & AEO guide
Last updated: 2 September 2026
The honest summary: GEO and AEO differ more in origin than in practice. GEO was named for generative AI; AEO grew out of snippets and voice search. But both reward the same underlying qualities - a business that is easy to understand, easy to verify and worth recommending.
Generative Engine Optimization (GEO) is optimisation aimed at generative AI systems: making sure that when models such as ChatGPT, Claude, Gemini, Grok and Perplexity generate an answer, your business appears in it - described accurately, cited as a source, or recommended outright. The term spread after a 2023 academic paper titled 'GEO: Generative Engine Optimization'¹ and took hold as asking an AI assistant became a normal step before buying. GEO work concentrates on what models can understand and verify: a clear description of what the business is, content that covers real buyer questions, structured data, and third-party evidence that models treat as proof.
Answer Engine Optimization (AEO) is optimisation aimed at answer engines: systems that return one direct answer instead of a list of links. AEO predates the current AI wave - it grew out of featured snippets and voice assistants - and focuses on question-shaped content: pages that ask the user's question and answer it in the first sentence, FAQ and how-to structures, and schema markup that makes the answer machine-readable. Today the biggest answer engines are AI assistants, which is why AEO and GEO increasingly describe the same work.
SEO, GEO and AEO are layers of the same system. SEO earns rankings in lists of search results; GEO and AEO earn inclusion inside generated and extracted answers; and AI visibility is the measurable outcome - how often and how accurately AI systems mention, cite and recommend your business. Read: What is AI visibility.
Whatever the label, the work list is nearly identical:
01
A one-sentence description of what you are, for whom, on your homepage - the sentence a model could quote.
02
Pages that mirror real buyer questions: comparisons, 'best X for Y', pricing, 'is this right for me'.
03
Answer-first formatting: the question as the heading, the answer in the first sentence beneath it.
04
Structured data (Organization, Product, FAQ) that matches the visible text exactly.
05
Technical access: server-rendered content, AI crawlers allowed, clean canonicals.
06
Third-party evidence - reviews, directories, editorial mentions - because these are the sources AI answers cite.
Nothing on this list is a trick. GEO and AEO reward businesses that are easy to understand and easy to verify - which is why the work holds its value even as models change.
GEO and AEO results are measured the same way: ask AI systems your buyer questions before the work, do the work, then ask the same questions again. A reliable measurement repeats each question across several providers. Repeating the same measurement before and after implementation is the clearest practical way to see whether observed AI visibility changed. Our methodology explains the full approach.
Most GEO and AEO providers are either dashboards (measurement without implementation) or agencies (implementation without before/after measurement). EntityRise combines both: a $19 AI Visibility Audit to establish your baseline, and implementation delivered by the same team that runs the measurement. See how we implement.
Before choosing between GEO, AEO or any provider, measure your starting point: the EntityRise AI Visibility Audit costs $19, takes minutes, and returns a scored report with a prioritised action plan.