Brand promotion: this article introduces Guangsuan's global brand-word GEO service. It is a vendor introduction, not an independent review or a commissioned evaluation.
Ask an assistant about your own company and you may get an answer that is fluent, confident and wrong in one specific place: a product that was retired, a founding year borrowed from a company with a similar name, or an official website that never appears. For readers who spend their working day tracing claims back to sources, the useful question is not why the model is wrong. It is which published fact produced this sentence, and where that fact can be corrected.
This article answers that question for brands: what to fix on your own site before buying any coverage, how to record the current answer so a later change can be checked, and what Guangsuan's global brand-word GEO service covers, and explicitly does not promise.
The short answer
Fix the facts you control before you add coverage. Put the legal entity, the names actually in use, the official domain and the current product facts, with units and conditions attached, on pages that can be crawled, rendered and read. Then record what an assistant says now, make the change, and retest under the same conditions. A press release does not correct a product page that still lists a retired specification; it adds one more public version next to it.
Two conditions belong with that answer. Being crawlable is a prerequisite for a page to be considered, not a promise that it will be cited. And the entity facts have to be true before structure helps: structured data that contradicts the visible page does not repair the contradiction, it repeats it in a second format.
Three failures that look like one
A single answer can contain several different problems, and they are repaired in different places. Separating them is the first editorial step.
- Wrong subject. The answer describes another company: a namesake's address, certification or product line. Short or generic brand names make this harder to notice, and a legal name that differs from the trading name makes it harder to disprove.
- Wrong level. A group, a factory, a sales company and a product brand each carry a name. If the site never says how they relate, a reader cannot tell which entity is answering.
- Wrong version. A retired plan, an old specification or a previous address stays published without a statement of what replaced it. Two pages then look equally authoritative, and the older one may be the easier one to retrieve.
One observation of one answer is a symptom, not a diagnosis. Keep it as a record of what was retrieved and generated in that session, and resist the temptation to infer a platform's internal entity resolution from a single screenshot.
Technical fit: can the page be read at all?
A correct fact on a page that cannot be reached is still unavailable. The checks are ordinary web work, and Google's guidance on AI features in Search is a useful baseline because it says what is not required as clearly as what is.
- Crawl access. Check robots.txt and any CDN, hosting or firewall rule that can block a crawler before it reaches the page.
- Rendering. If the specification or the address appears only after a client-side script runs, check what a crawler receives and whether the text is present without that script.
- Status and canonical. Confirm that the official URL returns a normal page, and that a canonical points to the version you intend, especially where language or parameter variants duplicate the same content.
- Discovery. Make sure the pages carrying the facts are reachable through internal links and are listed in the sitemap.
- Consistency. Make the structured data match the visible text, not a different product name or an older price.
Google states that to be eligible to appear as a supporting link in AI Overviews or AI Mode, a page must be indexed and eligible to be shown in Google Search with a snippet, and that there are no additional technical requirements to appear in those features, nor other special optimizations necessary. The same documentation adds that indexing and serving are not guaranteed even when a page meets every requirement, and that crawling can take anywhere from several days to several months. Those three statements together set the right expectation: the technical work is necessary and checkable; the citation is not yours to command.
The Google Search Central guidance on AI features is Google-specific. Other assistants and answer engines retrieve under their own conditions, so test them separately rather than treating one vendor's documentation as a universal rule.
Entity facts: settle the names before the markup
The second layer is documentation, not design. Build a naming table that a colleague can check line by line.
| Field | What to record |
|---|---|
| Legal entity | The registered name, and how it relates to the customer-facing brand. |
| Brand names and aliases | Every approved short form, translation and spelling actually in use, including legacy names. |
| Former names and domains | When each was retired, and what it points to now. |
| Official domain | The primary domain and its language versions, with the one URL intended as official. |
| Product ownership | Which products or services belong to which brand or entity. |
| Contact routes | The sales, support and press addresses customers should use. |
Guangsuan's product guidance makes the same point from the content side: put specifications, service scope and applicable conditions back on official pages that can be checked, so that when an error is found there is a clear source to correct. Its page also separates two results that are easy to merge, whether the brand is mentioned at all and whether the official site is cited, and adds a third check: whether the cited page actually supports the specific information in the answer.
Record a baseline you can retest
Before changing anything, save the current state; otherwise there is nothing to compare against. A small question set is enough to start: what the company does, what its official website is, and whether a named product supports a named feature. For each answer, record the platform, whether web access was on, the language and region, the date, the exact question, the full answer and any cited URLs.
Keep three outcomes apart rather than collapsing them into one visibility score: was the brand identified as the correct entity, were the facts stated accurately, and was the official site cited? A mention carrying the wrong plan is not progress, and a citation to a page that does not support the statement is a different problem from an out-of-date answer.
Guangsuan's service description treats the priority platforms and whether web access is available as project-level decisions rather than fixed assumptions, and its verification section records those three results separately, each with the full answer and its source.
What Guangsuan's service covers
Guangsuan (光算) publishes a global brand-word GEO service aimed at the AI search used in a target market, organised as four connected parts, each with a stated deliverable:
- Website technical adaptation. Check crawl restrictions, page rendering, access errors, canonical addresses and content discovery paths, then implement code changes within the agreed scope. Deliverable: a code and configuration change list, the launched pages, and access and rendering test records.
- Brand entity building. Clarify the relationships among company, brand, aliases, official site, products and services, and align visible material with applicable structured data. Deliverable: a brand fact list, entity relationships, official entry points and markup check records.
- Official material completion. Fill the gaps on the about, product, service, contact and brand Q&A pages, the information a customer needs when verifying a supplier, ending with a client-confirmed version of the facts.
- Brand Q&A retesting and correction. Build a question sample around brand identity, product information and the official domain, record the actual answers and visible citations, trace a deviation to its source, correct what is controllable, and retest. Deliverable: answer snapshots, cited URLs and a deviation record.
If a brand's published pages already contradict each other, the guidance Guangsuan publishes on conflicting brand facts is to find every version first, decide which one is current, and correct from the most authoritative source outward. That article is published in Chinese; the order it describes does not depend on language.
What it does not promise
The boundaries are stated as plainly as the scope, and they are what a buyer should hold the provider to. Guangsuan commits to the agreed technical and material delivery; it states that being crawlable is not the same as being cited, and that it does not promise every platform will permanently give the same answer about a brand. The first project is described as agreed changes, launch and staged retesting inside a 90-day service period, a delivery window rather than a date on which an answer will change.
Whether a particular assistant changes a particular answer is not something any vendor controls. What can be agreed is the work: which pages, which question sample, which platforms, how many retests, and what happens if an agreed target is missed.
When more coverage is the right next step
Once the official pages are consistent and reachable, third-party coverage becomes useful rather than noise. Guangsuan describes an attached industry-question expansion, 20 question categories on its base tier and 40 on its deeper tier, observed across three agreed AI platforms. It presents those numbers as suggested stage targets for discussion, not forecasts or guaranteed minimums. The sequence matters more than the volume: correct the source, then widen the coverage that points back to it.
If the problem is that an assistant describes the wrong company or an obsolete product, the order above is the place to start: names, current facts, readable pages, then a recorded retest. The Guangsuan global brand-word GEO service page sets out that scope, its deliverables and its limits.
FAQ
Should we publish more press before fixing the site?
Not as a first move. If the product page still carries a retired plan, that version remains published and external coverage adds another source next to it. Correct the source first, then decide whether wider coverage is useful.
Do we need a special file or schema for AI search?
For Google's AI features, no. Its documentation states that there are no additional technical requirements and no special schema.org structured data to add, and that the existing SEO fundamentals still apply, including crawl access, textual content, internal links and structured data that matches the visible text.
Can a provider guarantee that an AI will cite the corrected page?
No. Guangsuan states that being crawlable is not the same as being cited and that it does not promise every platform will permanently give the same answer. What can be agreed is the work, the question sample, the platforms and the retest conditions.
How long should we wait before retesting?
There is no single date. Google states that crawling can take anywhere from several days to several months, depending on how often its systems decide a page needs to be refreshed, and other platforms may differ. Record the date of the change and retest under the same conditions rather than relying on an expected timeline.