Unify a cross-language fact table
Close specs and warranty policy on CN/EN pages to one source of truth.
Global GEO for a cross-border store: close multilingual data splits
Inconsistent bilingual facts, JS-empty product shells, and a missing source chain made the brand almost invisible in AI search. GEO used a cross-language fact table, crawlable product pages, and query-aligned pages — measurable and re-testable, not sold as a short-cycle score lift.
Challenge
Language split, empty shells, missing source chain
A cross-border independent-store brand had very low AI-search visibility: Chinese and English pages differed on specs, materials, warranty, and returns, so models treated them as two companies. Specs, price, and reviews depended on front-end JS, so crawlers often saw empty templates. The brand domain was not in model citation chains; answers cited third-party reviews or community threads instead.
Approach
Cross-language fact table → structured PDPs → query pages
Make product pages crawlable
Change front-end rendering so crawlers can read full parameters and review summaries.
Add query-aligned bilingual pages
Build bilingual answers for selection, comparison, objection, and brand-name queries; re-test so the official domain can enter citations.
Outcome
Visibility and inquiry cadence (this engagement’s observations)
- After about four months of systematic GEO work: recorded AI-search visibility moved from 5.1% (category questions almost invisible) to 83.7% (stable appearance on category questions).
- Inquiry conversion cycle shortened by about 40%; buyers more often quoted destination country and model in the first ask.
- Brand-name queries shifted from third-party reviews and community threads to the official store. These are this engagement’s records — not a score promise to other clients.
Capabilities
- Marketing - GEO
- Brand knowledge structure
- Answer-engine monitoring