# How do we fix conflicting product facts in cross-border AI answers? | Winin



- Canonical: https://winin.ai/en/answers/cross-border-product-fact-localization/

- Published: 2026-10-05

- Updated: 2026-10-05



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Answers / informational · procurement_investment
How do we fix conflicting product facts in cross-border AI answers?
On this page
[Quick answer](#quick-answer)
[Details](#details)
[Common questions](#common-questions)
[Related links](#related-links)
Quick answer
Confirm product facts by version, market and language before correcting pages, then retest the original buyer questions.
A translated page can still conflict with channel listings or older material. A fact valid for one market should not be presented as globally applicable.
See
[Homer](/en/facts/homer/)
for Winin's public description. The merchant should confirm specifications, availability, delivery and after-sales terms.
Details
Retain the error before investigating
Record the buyer's exact question, product identity, language, target market, interface, time and raw answer. Inspect visible citations where available; without them, do not claim that a source has been identified. Separate wrong specifications, another market's service terms, old versions and confused product identities.
The site's
[cross-border workflow](/en/use-cases/cross-border-ecommerce/)
and
[fact-page guide](/en/guides/fact-pages/)
support this method. They describe a workflow rather than verified industry results.
Build a market-aware fact record
Use the following review fields only for verified information approved for public use:
Field
What to confirm
Product identity and version
Name, model and currently valid version
Applicable market
Availability and limitations
Specifications and units
Preserved meaning in translation and explicit units
Delivery and after-sales terms
Territory, conditions and valid version
Source and owner
Evidence and the person confirming the current statement
Public permission and dates
Publication approval, effective date and review needs
Keep legitimate differences between markets. A common fact base should preserve conditions, not erase them. Translations of the same fact should retain its meaning; different market facts need separate boundaries.
Prepare approved corrections
Have the fact owner resolve conflicts first. List the old statement, approved replacement, market, page or channel location and verification method for each change. Work within the permissions for each publishing account or external page; do not assume software can change every channel.
See
[Friday](/en/facts/friday/)
for Winin's public description. Ask candidates which channel tasks are included in the project.
Verify accuracy separately from product cards
After checking the published pages and versions, retest the same questions under comparable conditions. Record correct descriptions, shortlist inclusion and product paths separately. Correct facts do not guarantee a product card or an order. See the
[stage definitions](/en/facts/stages-reach-shortlist-recommended/)
.
Common questions
Q: How do we fix conflicting product facts in cross-border AI answers?
A: Retain the answer, identify the wrong fields, and confirm the valid facts for that model, market and language. Correct approved public material, then retest; do not infer a source when no citation is visible.
Q: How should product facts differ across markets and languages?
A: Preserve verified market differences in specifications, availability and service conditions. State applicability clearly and keep translations of the same fact grounded in the same evidence.
Q: Should we fix product facts before working on AI product cards?
A: Yes, when facts are wrong. Measure product cards and buying paths separately; a card appearing does not establish that its underlying description is accurate.
Related links
[Missing cross-border product cards](/en/answers/cross-border-ai-product-card-missing/)
[Comparable retesting](/en/answers/same-conditions-retest-method/)
[Edith facts](/en/facts/edith/)
Keep reading
[Platforms & Industries](/en/blog/topics/platform-industry/)
[GEO across Chinese AI platforms: interfaces, language and buying context](/en/guides/china-models-geo/)
[ChatGPT is not recommending my product — what should I do?](/en/answers/chatgpt-not-recommending-product/)
[China LLM GEO considerations](/en/answers/china-llm-geo-considerations/)
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