Brand promotion: This article introduces Guangsuan's GEO services alongside a practical website fact-checking method. Product examples are illustrative.
If a buyer asks an AI assistant "who is this supplier and what do they actually make," an answer may draw on your website, third-party sources or previously learned material, depending on the platform and whether it is retrieving current pages. When your own pages disagree — a spec sheet says one Monacolin K percentage, the product page says another, the About page uses a different company name — you cannot assume the assistant will identify the current version. It may reproduce an outdated detail, omit the specification or describe the disagreement. This audit is about finding those disagreements on your own site before a customer does.
It applies to any B2B exporter with more than a handful of pages and at least one non-English or regional version. It is less useful if your site is a single landing page, because there is not enough surface area for facts to conflict.
Why answer-based search makes consistency worth checking
A buyer following search-result links can compare your About page with your product page. A buyer reading an AI-generated answer may see a summary before opening either source. Conflicting source material can therefore affect the answer they rely on, although a particular platform may handle or display the disagreement differently.
For a multilingual exporter, check these possible sources of disagreement:
- Multiple language versions. For example, a specification might be updated on the English site while the German or Spanish version still shows the old figure.
- Third-party copies. Directory listings, distributor pages and trade-show profiles carry snapshots of your facts from whenever they were last edited.
- Product naming drift. As an illustrative example, one grade might be called "standard extract" on one page, "RYR-S10" on another, and "1% Monacolin K powder" on a third. Check whether the names really refer to the same product before aligning them.
These are source-content problems that a website owner can address. Correcting them does not eliminate other causes of inaccurate AI answers.
The five-step audit
Work in this order. Fixing the source before checking what AI says about you avoids chasing a symptom.
Step 1: List the facts that must never vary
Start with the small set of facts a buyer would use to verify you. For a supplier this is usually: legal entity name, brand name and any abbreviation, official domain, product grade names and their key specifications, certifications and their validity, minimum order quantity, and the contact route for quotes versus samples.
Write each one as a single line with the value you consider correct. If two colleagues give different answers for the same line, that is your first finding — resolve it before touching the website.
Step 2: Search your own site for each fact
Use a site-restricted search for each value, then read the pages that come back. Search the number, the grade name, the certification name, the company name — not the topic. You are looking for pages that state the fact differently, not pages that discuss it.
Record four things per hit: the URL, the exact wording used, the date the page was last updated if visible, and whether the page is a primary source (product page, spec sheet) or a secondary mention (blog post, FAQ).
Step 3: Check the language versions against each other
Open the same product page in each language you publish. Compare the specification table line by line, not the marketing copy. Translation differences in tone are fine; a different Monacolin K percentage, a different citrinin limit, or a different MOQ is not.
This step can reveal an update that reached the English page after a formulation change but was not carried into another language version.
Step 4: Check what third parties copied
Search your brand name plus your key specification. Directory listings, distributor sites and trade profiles will surface. You cannot edit most of them directly, but you can note which ones carry an outdated figure and whether the operator has a correction route.
Separate these into two buckets: pages you control (your own site, your own profiles) and pages you do not. Fix the first bucket completely before spending time on the second.
Step 5: Ask an AI assistant the buyer's question
Only now check the output side. Ask the same question a buyer would — "what does [your brand] manufacture and what are the specifications" — in the language and platform your market uses, and record the answer verbatim along with any sources it cites.
Two cautions. First, answers vary by platform, by whether the assistant is browsing, and by day; a single screenshot proves nothing. Second, an assistant repeating an error is a signal to go back to Step 2, not a reason to publish a correction article. Fix the page the assistant is most likely reading.
Discrepancies to record
Use the following hypothetical categories to organise your findings; they are examples, not results from a client audit:
- Two versions of a number. A spec table and a blog post written a year apart.
- Company name variants. The legal name, the trading name and the domain brand used interchangeably with no page explaining the relationship.
- Certification without a date. A certificate shown as an image with no issue or expiry date, so a reader cannot tell whether it is current.
- Contact routes that conflict. A general form on one page and a direct sales address on another, with no indication of which handles what.
Assign each finding an owner and a source that can establish the correct value. A copy correction may be straightforward; a specification or certification dispute may need product or compliance review before the page can change.
Fixing the source, not the symptom
Once you have the list, the correction work is unglamorous: update the outdated page, align the language versions, add dates to certifications, and write one page that states the entity-to-brand relationship plainly. Keep the corrected values in a single internal document so the next person who edits a page has one place to check.
This is the same starting point the GEO work at Guangsuan's global brand GEO service uses: reconcile the brand facts and the gaps in official material first, then decide the order in which content and sources get built. Their published scope covers technical adaptation of the site, entity and official-material work, and re-checking brand answers afterwards — with the explicit caveat that being crawlable does not guarantee being cited, and that no platform is promised to answer the same way permanently.
If you want the underlying method rather than the service, their write-up on how to build a brand fact sheet walks through the fields, the source tiers and the review cadence in more detail. It is written for a Chinese-reading team, but the structure transfers directly.
A note on what this audit cannot do
Consistency on your own site removes one class of error. It does not control what a competitor writes, what an old directory listing says, or how a model chooses to summarise you on a given day. Treat the audit as removing your own contribution to the problem — which is the only part you can fully control — rather than as a guarantee about what any assistant will say.
If you do one thing this week, do Step 1 and Step 2 for one product family. Listing the facts that must not vary, then locating the pages that state each one, gives you a bounded starting point. If those pages agree, record that result rather than inventing an issue.