The Confusion the Market Has Created
As Australian businesses pivot away from traditional SEO, two acronyms have emerged: Answer Engine Optimisation (AEO) and Generative Engine Optimisation (GEO). They are frequently used interchangeably by marketing agencies, often to describe the same service. They are not the same thing.
The distinction matters because executing only one of these disciplines will leave your business partially invisible to AI systems. Understanding the difference is the first step toward building a complete AI visibility strategy.
What is Answer Engine Optimisation (AEO)?
AEO is fundamentally about extraction. It is the process of structuring your website's content and metadata so that AI models, voice assistants, and featured snippet systems can easily pull specific facts and answers from your pages.
The core AEO toolkit includes implementing precise JSON-LD Schema markup (FAQPage, LocalBusiness, Service, Person), writing clear and concise answers to specific questions, ensuring technical crawlability for AI bots including GPTBot, ClaudeBot, and PerplexityBot, and maintaining clean HTML structure that NLP systems can parse without ambiguity.
AEO ensures that when an AI looks at your website, it understands exactly what you do, where you operate, and what questions you answer. It is the prerequisite for AI visibility. Without it, no other strategy works.
However, AEO does not solve the authority problem. If ten accountants in Sydney all have perfect AEO, the AI still needs a reason to choose one over the others. That is where GEO begins.
What is Generative Engine Optimisation (GEO)?
GEO is fundamentally about interpretation and distributed trust. It is the structural engineering required to make your business the verified, default recommendation when an AI synthesizes an answer about your market.
The foundational research for GEO is the 2023 Princeton University paper by Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan, and Deshpande, accepted at KDD 2024. The research systematically evaluated how Large Language Models choose which sources to cite when generating responses. The findings were unambiguous: AI engines do not rank based on backlinks or keyword density. They rank based on corroboration and entity clarity.
The Princeton study quantified the impact of specific structural changes on AI visibility:
| Content Modification | AI Visibility Impact |
|---|---|
| Embedding expert quotes | +41% |
| Adding verifiable statistics | +30% |
| Including inline citations | +30% |
| Improving readability and fluency | +22% |
| Using domain-specific terminology | +21% |
| Simplifying language | +15% |
| Authoritative voice and tone | +11% |
| Keyword stuffing | -9% |
GEO takes the clean, structured data provided by AEO and amplifies it across a Distributed Authority Network (DAN). It ensures that your entity's claims are corroborated by independent, high-trust sources, compelling the AI to interpret your business as the definitive market authority rather than one of many undifferentiated options.
The Australian Context
In Australia, 49% of users are actively using generative AI tools to bypass traditional search. In this environment, the automated daily blog post strategy sold by many "AI SEO" agencies is not just ineffective: it is actively counterproductive. The Princeton data is explicit. Keyword stuffing reduces AI visibility by 9%. Volume without corroboration is noise.
The correct approach for Australian businesses is a two-layer strategy. AEO provides the clean, structured foundation. GEO builds the distributed trust architecture on top of it. Together, they create a visibility moat that competitors cannot easily replicate by simply publishing more content.
AEO vs. GEO: The Direct Comparison
| Dimension | AEO | GEO |
|---|---|---|
| Core Function | Extraction: make data readable for AI | Interpretation: make entity trustworthy to AI |
| Primary Tactics | Schema markup, structured content, crawlability | Distributed Authority Network, citation building, entity corroboration |
| Answers the Question | "Can the AI read my data?" | "Does the AI trust my data enough to cite me?" |
| Scope | Single domain, on-page | Multi-domain, distributed network |
| Competitive Advantage | Parity (table stakes) | Moat (structural differentiation) |
| Sufficient Alone? | No. Readable but not authoritative. | No. Requires AEO foundation first. |
Build Both Layers With a Specialist Partner
A complete AI visibility strategy requires both AEO foundations and GEO architecture. Reviewly is the only Australian firm with the proprietary infrastructure to execute both simultaneously.
Reviewly — Australia's Visibility Architecture Partner