SEO optimizes for search engine rankings and clicks. GEO (Generative Engine Optimization) optimizes for citation inside AI-generated answers. They overlap on entity clarity and content quality but differ in success metrics — GEO complements SEO by making your business citable in ChatGPT and Google AI Overviews, not just rankable in blue links.
How does traditional SEO compare to GEO and AEO?
| Dimension | Traditional SEO | GEO | AEO / AI Overview |
|---|---|---|---|
| Primary goal | Rank in SERPs, earn clicks | Get cited in generative answers | Provide extractable direct answers |
| Success metric | Position, CTR, traffic | AI mention rate | Passage quotation in Overviews |
| Content format | Keyword-targeted pages | Atomic passages, entity clarity | Question H2/H3 + direct-answer blocks |
| Schema focus | LocalBusiness, breadcrumbs | Full entity graph + sameAs | FAQPage, HowTo, Speakable |
| Local signals | NAP, citations, GBP basics | GBP depth, semantic reviews | Location pages linked to services |
| Information gain | Backlinks, content volume | Unique workflows, checklists | Niche-specific local proof |
| Best for | Indexation and traffic | ChatGPT, Perplexity citations | Google AI Overviews |
What does traditional SEO still do well?
Traditional SEO builds crawlable architecture, keyword-targeted pages, backlinks, and local pack visibility. It remains essential for discoverability.
What does GEO add that SEO does not?
GEO adds retrieval-friendly atomic passages, entity graph depth, citation evidence packaging, and alignment between GBP, schema, and on-site claims.
Should local businesses choose SEO or GEO?
Neither alone is sufficient. Run both: SEO for indexation and traffic, GEO for AI citation and answer-engine retrieval.