GEO Strategy

Customers already use ChatGPT, Doubao, and Kimi for buying decisions. Use four questions to check whether your brand appears in AI recommendations.

A practical GEO playbook for converting exhibitions, stores, engineering experience, credentials, product knowledge, and customer proof into verifiable AI-ready assets.

A field-level governance method for reducing conflicts in how AI platforms describe a brand, its entities, products, credentials, locations, and service boundaries.

A practical method for turning broad industry terms into a monitored map of discovery, scenario, selection, validation, and action questions for generative engine optimization.

Search optimization is entering its biggest shift in two decades. This article explains how SEO evolves into GEO in the AI answer era.

If competitors appear whenever customers ask AI for supplier recommendations, the buying decision has already started without you.

The same brand can be interpreted very differently by each AI platform. A multi-platform GEO strategy starts with understanding these differences.

AI search visibility should not be judged by feeling. These five metrics make GEO performance measurable and repeatable.

llms.txt is one of the important infrastructure files for AI-era websites. It helps AI understand site structure and key content faster.

When customers ask AI which provider to choose, can your brand appear in the answer? This guide explains GEO logic, metrics, and implementation.

Different AI platforms use different sources and trust signals. Understanding these differences helps teams design a better multi-platform GEO strategy.

A near-zero-cost text file can help AI quickly understand your site structure and key content. Learn the format, deployment, and best practices.

GEO is not a one-time project. It is a continuous growth loop from AI visibility diagnosis to ROI attribution.