GEO practice for
Hong Kong businesses.

Executive summary

Generative Engine Optimisation should begin with a narrower question than “How do we rank in AI?” The useful question is: can a system find accurate public information, resolve the brand and service entities, verify relevant claims and connect them to a buyer’s question?

CLEARCRAFT LAB separates controllable information quality from platform outcomes. The resulting work can be inspected, assigned and retested.

1. Define the buyer questions

Build a small, stable set of non-brand questions grounded in the Hong Kong market and the language buyers use. Keep brand-fit and competitor questions in separate diagnostic sets. Record the exact wording, market, language, date, surface and available settings.

2. Resolve the brand entity

Use a consistent brand name, official domain, service description, market and public identity across core pages. Explain who the service is for, what is delivered, which limitations apply and who owns updates.

3. Create a verifiable evidence path

Important statements should connect to visible, current sources. A source can be owned, independent, partial, conflicting, missing or unknown. Keep those states explicit instead of turning them into an invented authority score.

4. Strengthen content foundations

• Put essential facts in server-rendered, readable text.
• Use descriptive page titles, headings and internal links.
• Answer real buyer questions with clear limitations.
• Keep author, publisher, dates and correction channels visible.
• Maintain Chinese and English as separate, linked language versions.

5. Protect technical discoverability

Check crawl access, status codes, canonical URLs, language alternatives, mobile rendering, performance and structured data. Technical access cannot compensate for unclear or unsupported content, but inaccessible content cannot be evaluated reliably.

6. Measure without merging incompatible evidence

Search Console, website analytics, AI-answer observations and business outcomes answer different questions. Keep them in separate datasets with documented join rules. Do not infer citation from an impression or causation from a changed answer.

7. Require human review

People confirm source quality, entity identity, exceptions and regulated claims. The client’s accountable owner approves services, prices, addresses, qualifications and policy-sensitive wording.

8. A practical first engagement

1. Confirm the market, language, site and buyer-question scope.
2. Inventory public brand and service facts.
3. Capture a fixed-condition baseline with raw records.
4. Review exceptions and evidence gaps.
5. Prioritise content, entity and technical actions.
6. Retest only where the evidence supports a comparison.

Procurement questions

• Will raw answers, sources and exceptions be retained?
• Are platforms and languages measured separately?
• Who performs human QA?
• Which findings are observations, hypotheses or recommendations?
• What is explicitly outside the service and KPI?