CLEARCRAFT LAB · INSIGHTS
Methods you can inspect,
not claims you must trust.
Our research explains observable AI-search practices, data limitations and practical foundations. It does not turn a platform change or one answer into a guaranteed business outcome.
PLATFORM CHANGE
How should brands read Google Preferred Sources?
A user preference signal is not guaranteed inclusion in every AI answer.
CRAWLER GOVERNANCESearch, agents and training are different controls
Separate access purpose before changing crawler policy.
MEASUREMENTWhat can Search Console measure?
Understand useful search data without mislabelling it as AI citations.
SOURCE REVIEWHow Hong Kong businesses can verify AI answer sources
Trace statements to public facts and preserve unknown states.
FOUNDATIONSContent, FAQ and technical foundations
Build indexable, readable and verifiable public information.
METHODOLOGYFrom question sets to human review
Read an AI visibility baseline without collapsing exceptions into one score.
FEATURED RESEARCH · 2026
GEO practice for
Hong Kong businesses.
A practical framework for questions, entities, sources, technical foundations and responsible measurement.
Read the English whitepaper