When someone asks ChatGPT to recommend a service provider, there is no results page, no ranking position, no ten blue links to compete for. There is a single generated answer, drawing on a handful of sources the model considers reliable. Generative Engine Optimization (GEO) is the practice of becoming one of those sources.
How GEO differs from SEO and AEO
SEO competes for ranking position. AEO competes to be lifted into a snippet or AI Overview on a Google results page — still tied to a specific search query, still Google's system. GEO is broader and less deterministic: it is about whether a large language model, trained on a wide corpus of web content, has learned to associate your business with the topics it is being asked about — and whether it trusts your content enough to cite it directly in conversation, independent of any single search.
What actually drives GEO performance
1. Clear, unambiguous entity definition
LLMs need to resolve who you are without confusion. If your business name overlaps with other entities, or your services are described inconsistently across your website and other sources, the model has a harder time forming a confident, citable association. Consistent naming, clear service descriptions, and structured Organization schema (see our schema guide) all reduce that ambiguity.
2. Source-worthy content, not thin marketing copy
Models cite content that reads as genuinely informative — content that answers a question comprehensively, with specifics, rather than content that exists primarily to sell. Ironically, the more useful and less promotional your content is, the more likely it is to be treated as a trustworthy source.
3. Corroboration across multiple trusted sources
A single well-written page on your own website is a weaker signal than the same claims appearing consistently across your website, your LinkedIn presence, directory listings, and any press or guest content you can earn. LLMs weigh corroboration — the same facts about your business appearing independently in multiple places — more heavily than a single self-published claim.
4. Topical depth over topical breadth
A site with one comprehensive, well-structured resource on a topic tends to outperform a site with ten shallow pages touching the same topic loosely. If you want to be cited as the source on a specific question, build the single best answer to it that exists on the web, not several partial ones.
Why this matters for Singapore B2B specifically
Buyers in longer, more considered purchase categories — B2B services, logistics, professional services, healthcare — are increasingly using conversational AI tools as a research step before they ever visit a website. A logistics manager comparing freight partners, or a business owner comparing accounting firms, is a realistic candidate to ask an AI tool for a shortlist before doing their own search. If your business is not part of the training data or corroborated web presence that shapes that shortlist, you are excluded from a conversation you never knew was happening.
Getting started
The realistic starting point is the same as AEO: audit your entity consistency across the web, identify the handful of topics where you genuinely have the deepest expertise, and build the definitive resource on each rather than spreading effort thin. See our GEO playbook for the full breakdown, or our comparison of SEO, AEO, GEO and AAO to see where GEO fits against the other three.