FYN / COMPARE · AISO vs GEO
AISO vs GEO.
GEO is part of the picture. AISO is the whole frame.
01 / FRAMING
Same family. Different scope.
◦ POSITIONING
Generative Engine Optimization (GEO) focuses on optimizing content for generative AI systems—chiefly LLM-driven answer engines. It’s a useful concept, but it’s narrower than the problem brands face.
AI Search Optimization (AISO) covers product data, structure, retailer surfaces, and selection dynamics across every system that decides what gets recommended.
02 / TABLE
Side-by-side.
◦ DIMENSIONS
| DIMENSION | AISO | GEO |
|---|---|---|
| Scope | Selection across every AI surface | Generative answer engines |
| Inputs | Product data + content + signals | Mostly content |
| Surfaces | Retail AI + assistants + recommendations + procurement | LLM chat surfaces |
| Optimizes for | Eligibility & selection | Citation & inclusion in answers |
| Use case | CPG, retail, eCommerce, B2B | Publishers, brands writing for LLMs |
GEO answers “does the model cite us?” AISO answers “does the system select us?”