INDUSTRY PILOT · HONG KONG DESIGN & ENGINEERING
Turn professional capability
into evidence AI can verify.
This pilot is for Hong Kong architecture, interior, product design and engineering consultancies. It structures disciplines, project types, service stages, case evidence and responsibility boundaries into clear buyer answers, so search and AI systems can better understand what a firm actually does, where the evidence sits and what still needs confirmation.
DIRECT ANSWER · CURRENT SCOPE
How can a design or engineering firm improve AI search visibility?
First align the firm entity, official domain, disciplines, service locations, project types, work stages and contact paths. Structure approved cases by year, place, team role, deliverables and verifiable sources. Then observe Hong Kong B2B buyer questions, recording citations, omissions, conflicts and unknown states separately before prioritising content, internal links, crawl foundations and consistent structured data.
Boundary: Technical, safety, code, cost, qualification and project claims require an appropriate accountable verifier. Better public information does not guarantee recommendation, shortlisting, tender success or project revenue.
01Capability map
Verify the firm name, disciplines, service locations, team roles and official sources while separating related but distinct services.
DELIVERABLES
- Entity and official-domain record
- Discipline, service and sector taxonomy
- Qualifications and owners to confirm
02Buyer-question architecture
Build non-brand questions around needs, constraints, project stages and comparison criteria, with branded fit and peer diagnostics kept separate.
DELIVERABLES
- Hong Kong B2B question hierarchy
- Project-type and stage mapping
- Core and diagnostic versions
03Project evidence model
Structure approved projects by scope, place, year, role, deliverable and approval status instead of treating imagery or client logos as complete proof.
DELIVERABLES
- Case-page fields and source paths
- Facts, claims and approval states
- Missing evidence and update dates
04Improvement and retest queue
Separate direct fixes, professional confirmations and content, technical or brand-data work suitable for later observation.
DELIVERABLES
- Content and internal-link priorities
- Crawl and structured-data checks
- Acceptance, review and retest plan
BUYER INFORMATION MAP
A buyer needs more
than a portfolio image.
A design or engineering buyer usually needs to decide whether a team fits a particular project, sector, location and work stage. Every important public claim should return to a verifiable service page, approved case, accountable team role or other approved evidence.
01Disciplines and services
Architecture, interior, product or engineering scope, including what the team does and does not provide.
02Project types and sectors
Verified residential, commercial, public, industrial or other experience without filling gaps by inference.
03Stages and deliverables
The firm’s actual role from research and concept through design development, coordination or site support.
04Geography, standards and qualifications
Only locations, standards, licences, qualifications or certifications confirmed by an accountable owner.
05Cases, dates and responsibility
Project year, location, team role, available evidence, approval state and last substantive update.
BUYER JOURNEY
From requirement to shortlist,
each step needs an answer.
01Need and constraints
The buyer defines the project, location, stage, timing, budget range and operational or technical constraints.
02Capability fit
Verifiable disciplines, team roles and relevant project experience show whether the firm may fit.
03Evidence comparison
Compare actual responsibilities, deliverables, year, location and public evidence, not visual style alone.
04Contact and procurement
Give a clear enquiry path, the project context needed and the next step without collecting unnecessary confidential material.
DESIGN & ENGINEERING BOUNDARIES
Public evidence can be clear;
confidentiality and accountability cannot be blurred.
Data minimisation
The initial pilot uses authorised public pages and client-approved facts. It does not collect or upload confidential drawings, models, tender documents, unpublished projects or client personal data.
Professional claim review
Technical, safety, code, cost, programme, sustainability, qualification and certification claims require the client’s appropriate professional or accountable owner to verify them before publication.
Result boundary
An AI answer is an observation under a particular question, date and source state. Better public information does not guarantee recommendation, shortlisting, tender success or project revenue.
BUYER QUESTIONS
Before work starts,
make the data and responsibility clear.
Which firms fit this pilot?+
Architecture, interior, product design, engineering consultancy or multidisciplinary teams with an official website, public service scope and verifiable project information. The target market, language, buyer type and working scope are confirmed first.
What information should the firm prepare?+
Official name and domain, discipline and service taxonomy, service locations, project stages, approved cases, team responsibilities, contact path and an accountable verifier for every qualification or technical claim. Unsupported information remains pending.
Can existing case studies be retained?+
Yes. We first inventory the project name, date, place, role, deliverables, image rights and client approval state, then add text evidence that buyers and AI systems cannot infer safely from visual work alone.
Will confidential drawings, models or tender data be sent to AI?+
Not in this public pilot. If a future engagement genuinely requires non-public data, authorisation, providers, retention, access and deletion must be confirmed separately before processing.
Who approves technical, qualification and project claims?+
CLEARCRAFT identifies evidence states and pending items. Final public claims still require approval by the client’s designated project owner, appropriate professional or authorised brand representative.
METHOD & INSIGHTS
Connect professional content
to a reviewable method.
PROFESSIONAL EVIDENCE, CLEAR BOUNDARIES
Structure public capability first,
then observe how AI understands it.
The pilot improves controllable information quality and evidence paths. It does not guarantee platform recommendation, shortlisting, tender success or project revenue.
Discuss a design and engineering pilot