GEO vs SEO: The Search Game Has Changed
You can have 1,000 keyword-optimised pages and top rankings on Google, yet remain entirely unknown to ChatGPT.
Traditional SEO optimises for an algorithmic index. It is designed to make Google display a specific URL as a blue link. Generative Engine Optimisation (GEO) optimises for an AI's internal knowledge graph. It is designed to make an AI system confidently synthesise and output your brand name as a direct answer.
Different Engines. Different Rules.
When a prospect searches Google for "family lawyers near me", Google lists directory websites and maps. When that same prospect asks Claude, "Can you recommend a premium family lawyer in Sydney, and explain why they are good?", Claude does not provide links to directories. It writes a multi-paragraph recommendation based on the entities it trusts most.
| Traditional SEO | Generative Engine Optimisation (GEO) |
|---|---|
| Optimises for keywords and URLs. | Optimises for semantic entities and brand trust. |
| Success is measured in rankings and clicks. | Success is measured by AI recommendation frequency. |
| Relies heavily on backlink volume. | Relies heavily on citation consensus across LLM training sources. |
| The user does the synthesis (reading multiple sites). | The AI does the synthesis (reading the data for the user). |
You Cannot Use Old Playbooks for New Hardware
SEO still has value, but it is no longer the entire picture. If a client uses generative AI to shortlist professional services firms, traditional SEO metrics do not influence the outcome. If the AI cannot verify your authority across its specific training sources, it will skip you and recommend the firm down the road.
Data tells the true story. We've analysed countless firms spending thousands on SEO who score fewer than 20/100 on generative visibility.