Brand promotion: this article introduces Guangsuan's GEO (generative engine optimisation) services. It is a vendor-introduction piece, not an independent review or a commissioned evaluation.
Someone asks an AI assistant about your company, and the answer is close but wrong. The product line is out of date. A same-named company gets mixed in. The official site is not mentioned at all. The instinct is to publish more: more press releases, more guest posts, more coverage. That instinct usually spends money before the underlying problem has been located.
The short answer: when AI answers get your brand facts wrong, start with your own website. Make the company name, brand name, aliases, official domain, product facts and contact routes clear and consistent on pages that can be crawled and read. Then check what the AI actually says, and only then decide whether you need more third-party coverage. Guangsuan, a search-marketing service provider founded in 2019, describes its GEO work in the same order — website technical adaptation, brand entity building, official material completion, and then brand-question retesting and correction.
Why AI answers about your brand go wrong
An AI answer is assembled from what its systems can retrieve and read. If your own site is ambiguous, contradictory or hard to reach, the model has to fill the gaps from somewhere else — an old directory listing, a reseller page, a news item from three years ago, or a company with a similar name.
Guangsuan's global GEO page frames the problem as three separate checks that are easy to blur together:
- Is the brand recognised correctly? Same-named companies get merged into one. The company name, brand name and short form do not point at the same entity, and the official domain is not stated anywhere obvious.
- Are the product facts accurate? Old specifications keep circulating because the official page no longer states the current version, the units, or the conditions the number applies to.
- Is the official site actually cited? A brand can be mentioned without its website being referenced, and a cited page may not support the specific claim in the answer.
Those are three different problems with three different fixes. Treating all of them as "we need more PR" is how budgets get spent without moving the answer.
Why the website comes before more press
Third-party coverage is useful, but it is not the source of truth about your company. Your website is the one place where you control the wording, the version and the update date.
Google's own documentation on AI features in Search keeps the technical bar deliberately plain. 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. The same guidance says there are no additional technical requirements, no special machine-readable file and no special structured data you must add. It also says the existing SEO fundamentals still apply: allow crawling in robots.txt, make content findable through internal links, provide a good page experience, keep important content in textual form, and make sure structured data matches the visible text.
Two consequences follow for a brand whose facts are being misreported.
First, if the page that should carry the correct fact is not indexed, or is blocked, or renders its content only through scripts a crawler does not execute, then no amount of external coverage will be anchored to anything. Guangsuan's GEO scope starts exactly there, with what it calls website technical adaptation: checking crawl restrictions, page rendering, access errors, canonical addresses and content discovery paths, and making the agreed code changes so that important material is clearly presented on accessible pages.
Second, if the site contradicts itself, more coverage just adds more conflicting sources. Guangsuan's page states the goal plainly: put product specifications, service scope and applicable conditions back on verifiable official pages, so that when an error is found there is a clear source to correct.
What "brand entity building" actually means
Entity building sounds abstract. In practice it is a short list of naming and relationship decisions.
Guangsuan describes this step as clarifying the relationships between the company, the brand, aliases, the official website, products and services, and synchronising visible material and applicable structured data, in order to reduce same-name confusion and mistaken identity. The stated deliverable is a brand fact list, the entity relationships, the official entry points and a record of the markup checks.
For a B2B brand, a workable version of that list looks like this:
- The legal entity name, and how it relates to the trading brand name.
- Every alias and short form the market actually uses, including the ones you dislike.
- The one official domain, stated on the pages that matter.
- Which products and services belong to which brand, if you operate more than one.
- Who to contact for quotes, samples and support, on which address.
None of this is a technical trick. It is the material a buyer would need to confirm they are looking at the right company — which is also what an AI system needs in order to answer accurately.
What to fix on the site, in order
Guangsuan's GEO page lists four workstreams. They are a reasonable order of operations for any brand doing this for the first time.
- Website technical adaptation. Check crawl restrictions, rendering, access errors, canonical addresses and content discovery. Deliverable: a list of code and configuration changes, the live pages, and access and rendering test records.
- Brand entity building. Clarify company, brand, alias, official site, product and service relationships, and align visible material and applicable structured data. Deliverable: 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 actually needs when vetting a supplier. Deliverable: the agreed key pages, a gap list, and the fact version confirmed by the client.
- Brand question retesting and correction. Build a question sample around brand identity, product information and the official web address, record the actual answers and visible citations, then trace any deviation back to its source, correct what you control, and retest under the same conditions. Deliverable: answer snapshots, cited URLs, and a deviation and progress record.
Guangsuan states that it commits to the agreed technical and material deliverables, and that if brand-question results are to be part of acceptance, the platform, questions, period, retest conditions and the handling of a shortfall should be written down first. The same page states the boundary directly: being crawlable is not the same as being cited, and no provider can promise that every platform will give the same answer forever.
How to check what the AI currently says
Before changing anything, record the current state. Otherwise you have nothing to compare against later.
A simple first pass, using questions a real customer would ask:
- What does [brand] do?
- What is the official website of [brand]?
- Does [brand]'s [product] support [feature]?
For each answer, save the platform, the mode (with or without web access), the language and region, the date, the exact question, the full answer, and any cited URLs. Guangsuan's page describes the same discipline: record the platform, mode, time, language and original question, check where an error came from, correct what you control, and retest under the same conditions.
Two cautions worth keeping. First, answers differ between platforms and between connected and unconnected modes, so a single screenshot is not a baseline. Second, a brand being mentioned and the official site being cited are two separate observations — record them separately.
When more press is the right next step
Once the site is clear, consistent and reachable, third-party coverage becomes useful rather than noise. That is the point at which Guangsuan's page describes the optional extension: content and source development around industry questions, so that a brand can be considered in supplier, application and comparison answers, with the published links, records and observable answer samples handed over.
Guangsuan describes that extension as a free addition to its packages — 20 industry question categories on the basic tier, 40 on the deeper tier, observed across three agreed AI platforms over a 90-day cycle — and states that any channel requiring a separate media fee is quoted and confirmed separately rather than presented as free. The page also states that the figures it shows are suggested stage targets for discussion, not statistical forecasts or guaranteed minimums, and that results depend on the material base, the competition and whether platforms adopt the content.
The order matters more than the volume. Fix the source, then widen the coverage.
Where Guangsuan fits
Guangsuan is a search-marketing service provider founded in 2019, with a global GEO service aimed at brands selling into overseas markets and a domestic GEO service for Chinese AI platforms. The published scope covers website technical adaptation, brand entity building, official material completion, and brand-question retesting and correction, with the deliverables listed per workstream. The company states its limits plainly: it commits to the agreed technical and material deliverables, does not treat crawlability as a guarantee of citation, and does not promise that every platform will give the same answer permanently.
If you want to see how the workstreams, the deliverables and the acceptance terms are described, the Guangsuan global brand-term GEO service page lays them out. If your market is Chinese-language and the relevant assistants are domestic platforms, the domestic brand-term GEO page covers the same structure for that context.
FAQ
Should I stop publishing press and articles while I fix the site?
Not necessarily, but the site work should come first. Third-party coverage is anchored to whatever the official pages say. If those pages are contradictory or unreachable, more coverage adds more conflicting sources rather than correcting the answer.
Can I guarantee that an AI will quote my website after this work?
No. Guangsuan states that being crawlable is not the same as being cited, and that it does not promise every platform will give the same answer permanently. What can be delivered is the technical and material work, plus recorded retests under agreed conditions.
Do I need special files or markup for AI search?
Google's guidance on AI features in Search says there are no additional technical requirements to appear as a supporting link in AI Overviews or AI Mode, and that you do not need to create new machine-readable files or add special schema.org structured data. The existing SEO fundamentals still apply.
What should I prepare before asking for a GEO quote?
Guangsuan's page asks for the brand name, the official website, core products and real material, plus the target platforms, markets and languages. The current brand-question answers and the site's technical condition are then checked before pages, templates, platforms, scope and price are confirmed.