Foundational models already contain the public internet up to their training cut-off. Re-stating facts the model already knows adds zero retrieval value. The engine has no reason to cite a page that tells it what it already believes.

The five most common reasons: (1) JSON-LD schema missing, (2) Cloudflare blocking the bot, (3) heading hierarchy broken, (4) content has no information gain, (5) H1 doesn't match the buyer's prompt. Each with the specific fix.

Most GEO / AEO playbooks are written for global markets. The buyer prompts, citation sources, and authority vectors assume US / UK / EU media ecosystems. They break in Hong Kong.

A practitioner's view of the three platforms a HK B2B SaaS is most likely to evaluate. Comparison framework: instrumentation depth, engine coverage, HK-specific authority vectors, schema-level control, agent-analytics capability. Recommendation: the platform that wins for HK is the one that gives you parser-level control + multi-engine monitoring + HK authority-vector coverage. Most do not offer all three.