AI Search Optimization, AEO and GEO Explained for Business Owners
AI search optimization is the work of getting your company named inside the answers that tools like ChatGPT, Perplexity and Google’s AI Overview give when a buyer asks them a question. Answer engine optimization (AEO) and generative engine optimization (GEO) are two narrower names for the same work.
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The senior managers I work with in Taichung tend to ask me the same thing whenever a new set of initials turns up in marketing, which is whether the thing is real or whether it is last year’s service with a fresh label on the invoice. At the moment the initials are AEO and GEO. Most of the people asking run good factories, have never worked in marketing, and have no particular wish to start now.
It’s a fair question, and it has two halves that pull in opposite directions. Buyer behavior really has shifted, and it has shifted quickly enough to matter. What you have to do about it, though, is less exotic than the sales pitches suggest, and Google has said so in its own documentation. I’ve set out both halves below, along with a test you can run this afternoon to see where your own company stands. If you want the service detail rather than the explanation, our GEO and AEO service page covers that side.
What AI Search Optimization, AEO and GEO Actually Mean
The three terms describe one change in how search works, which is the move from showing a buyer where to look towards telling them the answer. They differ mainly in which part of that change they point at.
| Term | What you are optimizing | Where the result appears | How you know it worked |
|---|---|---|---|
| SEO | Your own website’s position in the list of links | The ordinary blue links on a Google results page | Your ranking position, and the traffic that comes from it |
| AEO | Whether you are named in the written answer sitting above those links | Google’s AI Overview, and featured snippet boxes | Whether the answer names you, and whether it cites one of your pages |
| GEO | Whether a generative tool names and quotes you | ChatGPT, Perplexity, Gemini and similar tools | Whether you appear when a buyer asks the tool for suppliers |
| AI SEO | An umbrella term covering all of the above | Anywhere in the rows above | Depends entirely on who is using the term, which is worth asking before you sign anything |
Why the names overlap
AEO and GEO describe nearly the same work, because both depend on the same underlying conditions: information a machine can read, and a company it can confirm is real. You do not have to choose between the terms, and I would treat a supplier who insists the two are separate disciplines with some caution, since the more common reason for insisting on that is that two line items bill better than one.
Where the distinction does hold up is in measurement, since an AI Overview appears inside Google and can be tracked in Search Console, whereas a mention inside ChatGPT or Perplexity cannot be, and has to be checked by hand.
A warning about the letters AEO in Taiwan
In Taiwan, the bare term AEO usually means something else entirely. It is the customs Authorized Economic Operator scheme, which many of you will already be certified under and which has nothing whatever to do with marketing. Search for AEO in Chinese and you will mostly get customs results, along with the retailer AEON.
This matters beyond the confusion. If you ever commission Chinese-language content on the subject, targeting the bare term AEO will bring you visitors looking for customs certification rather than marketing, so whoever writes it should use the full Chinese term for answer engine optimization, or GEO, both of which are unambiguous. In this article, AEO always means answer engine optimization.
Why AI Search Now Affects Whether Overseas Buyers Find You
Business buyers have moved towards AI search quickly enough for it to affect where your inquiries come from, and buyers in Asia-Pacific encounter AI-generated answers more often than buyers in Europe or the United States.
Half of B2B software buyers, 51%, now start their research with an AI chatbot more often than with Google, up from 29% eleven months earlier, according to G2’s March 2026 survey of 1,076 buyers. The same study found that 69% of those buyers chose a different vendor than they had originally intended after taking the chatbot’s guidance, and that a third bought from a company they had never heard of before.
Buyers also meet AI answers without going looking for them. TrustRadius, surveying 2,058 technology buyers in 2025, found that 72% encountered Google’s AI Overviews during their research, and that the figure rose to 84% among buyers in Asia-Pacific against 59% in Europe, so buyers in this region see rather more of it than buyers elsewhere. Nine in ten of them clicked through to at least one of the sources the answer cited, usually to check that the answer was right, which means being named in the answer is what produces the visit. The same pattern shows up further along the process, in how international buyers now shortlist suppliers.
Forrester reported that 89% of B2B buyers were using generative AI somewhere in their buying process, a figure quoted in its June 2025 analysis of zero-click search, which also expected AI-powered search to account for around 20% of organic B2B traffic by the end of that year. As of July 2026 these numbers are the most recent public ones I can find, and given how fast the underlying behavior is moving, I’d treat all of them as indicating direction rather than as precise measurements of where things stand today.
What these numbers do and do not tell a manufacturer
None of this research surveyed industrial buyers. G2 asked software buyers, TrustRadius asked technology buyers, and Forrester’s B2B panel is weighted heavily towards technology purchasing, so it would be careless to claim that a procurement engineer sourcing castings behaves the same way as someone choosing a CRM.
What can be said is that the tools are the same tools, that the behavior has moved in the same direction everywhere it has been measured, and that Asia-Pacific exposure runs higher than the global average. Whether your particular German or American buyer is doing this yet, I don’t know, and neither does anyone selling you the service. That’s part of why the test further down is worth ten minutes of your time; it costs nothing and it tells you about your own market rather than someone else’s.
How AI Systems Decide Which Companies to Name
A system will only name a company it can confirm is real and can then describe with some confidence, which puts two quite different requirements in front of you.
It checks that you are a consistent, verifiable company
Before naming you, these systems cross-check your details against every place they appear: your own website, your Google Business Profile, LinkedIn, international trade directories, industry listings, and any news coverage. Where the company name, address and phone number don’t match across those places, the system has no way of being sure they all refer to the same business, so it tends to stay quiet about you rather than risk being wrong.
This is the most common failure I see with Taiwan manufacturers, and the usual cause is dull rather than technical: the English company name has been written several different ways over the years by different people, and nobody has ever gone back to reconcile them. The places worth checking are mostly the ones nobody in the company owns:
- Your website footer and contact page, which is the version you control and should treat as the master.
- Your Google Business Profile, which is often set up years ago by someone who has since left.
- LinkedIn, where the company page name and the office address are frequently a little different from the website.
- Taiwantrade and any other government or association directory listing, along with the other trade directories AI search checks.
- Alibaba, Made-in-China, or whichever B2B platform you have listed on, including old listings you no longer use.
- Trade-show exhibitor directories from previous years, which stay online indefinitely and which nobody thinks of as their responsibility.
- The PDF catalogs sitting on your own server, which are indexed like any other page and often carry an old address.
Reconciling all of that is tedious and takes an afternoon rather than a project, but it comes before anything else, since none of the later work counts for much while the systems remain unsure whether your brand exists at all.
It quotes companies that describe their work in specific terms
Once a system is satisfied that you exist, what gets you quoted is specificity. A page saying only that you provide precision machining gives a machine nothing it can usefully repeat, whereas a page giving the materials, the tolerances you hold, the certifications you carry and an example of a part you have made gives it a great deal.
This is also why content generated in bulk by AI tools tends not to get quoted, since every competitor is producing much the same empty text and the system has no reason to prefer any of it. We looked at that question separately in whether AI-generated content helps your ranking. The knowledge worth quoting is generally the knowledge already sitting in your factory that has never been written down anywhere, which is inconvenient, because getting it out of your engineers is slower than buying a service.
What Google says you do not need to do
This part rarely appears in articles written by people selling AEO, so it’s worth quoting directly. Google’s own documentation on AI features and your website states that there are “no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary,” and adds that you don’t need to create new machine-readable files, AI text files, or any special schema markup to be eligible.
Google is describing its own AI features rather than ChatGPT or Perplexity, and it has an obvious interest in site owners not panicking, so I wouldn’t take it as the whole story. But it lines up with what Forrester concluded from the other direction, which was that many marketing fundamentals will remain the same or become more important, and it lines up with what I see in practice.
I’ve been working on marketing strategy for companies here since 2005, which has been long enough to sit through several technologies that were going to change everything, and the pattern is fairly consistent. The mechanism changes, the fundamentals underneath it survive, and the companies that come through are usually the ones that were doing the dull groundwork before the new thing arrived. Nothing about the current shift looks different in that respect, which is either reassuring or annoying depending on how much groundwork you have done.
How to Test Your Own Position and Decide What to Do
You can establish where your company stands in AI search in about ten minutes, with no marketing knowledge required, by asking the tools the questions your buyers would ask.
Run the test yourself
Open ChatGPT, Perplexity and Google, and put the same questions to each, in English, since that is the language your export buyers will be using. Substitute your own product and company name:
- “Which manufacturers in Taiwan make [your product]?”
- “I need a supplier for [your product] with ISO 9001 certification. Who should I contact?”
- “Compare Taiwanese and Chinese suppliers of [your product].”
- “What does [your company name] manufacture?”
- “Is [your company name] a reliable supplier?”
Note three things from each answer: whether your company is named at all, which competitors are named and what is said about them, and whether anything said about your own company is actually wrong. Take a screenshot, because you will want the comparison in six months.
That third point matters more than people expect. Being absent and being described inaccurately are different problems needing different work, and the second one is more urgent, since a buyer reading a confident, wrong summary of your capabilities will simply move on without ever contacting you to check.
Working out what the result means
If nothing about your company can be found or confirmed, more advertising won’t help you, because the gap is in what the systems can verify rather than in how many people have seen your name. The way to address it is to make your company details consistent across the places listed above, and then to get what your engineers know written down in clear English.
That is slow work with no dramatic moment in it. Its main attraction is that most of your competitors haven’t done it either, so the ground is unusually open at the moment. Our article on why a Taiwan factory’s website gets no inquiries covers the website side of the same problem, and AI SEO versus traditional SEO compares the older approach with the current one.
Doing it in house, or paying someone
The split depends mostly on who you have and what their English is like. The testing above, and the first pass at making your company details consistent, an internal person can handle perfectly well if they have the time and reasonable English, and there’s no good reason to pay an agency for that part.
The harder part is producing technical content in natural English that a machine will bother to quote, because translated content generally reads as translated and gets cited less often. If you do decide to look outside, the general ground rules in how to choose the right marketing company still hold, and these are the questions I would add for anyone selling you AEO or GEO specifically. Be wary of vague answers to the last two in particular:
- Which AI tools do you actually check, how often, and will you show me the raw results rather than a summary?
- How do you report a mention, given that ChatGPT results can’t be tracked in Search Console the way an AI Overview can?
- Will you work on our Google Business Profile and our directory listings, or only on the website?
- Who writes the technical content, and have they written for manufacturing before?
- What specifically happens in month one, and what should I expect to see by month six?
- Given what Google says about no special optimization being required, what exactly am I paying for that ordinary good SEO wouldn’t cover?
That last question is not a trap, and there are decent answers to it involving entity consistency, off-site presence and content that holds up to being quoted. But a company that can’t answer it comfortably is probably selling you the initials rather than the work. Whichever route you take, what you are really doing is getting what your company already knows into a form that buyers and machines can both find, and that job existed long before anyone thought of the acronyms.
Frequently Asked Questions
What is the difference between SEO and AEO?
SEO gets your website into the list of links on a search results page, while AEO gets your company into the written answer that now sits above that list. The groundwork overlaps almost entirely, but they are measured differently, since SEO is measured by where you rank and AEO by whether you are named and cited.
Is AEO the same as GEO?
They are close enough that most companies do not need to separate them. AEO points at answer boxes such as Google’s AI Overview, and GEO points at generative tools such as ChatGPT and Perplexity, but both depend on the same two things, which are a company that can be verified and content clear enough to be quoted.
We are an OEM with no brand. Does this apply to us?
It applies more rather than less, because an OEM typically has very little verifiable information online, and that absence is exactly what stops an AI system from naming it. The aim is not to become a consumer brand but to be included when a buyer asks which suppliers can meet a given specification.
Should our content be in Chinese or English?
For export inquiries it has to be in your buyers’ language, which is usually English, because they put their questions to these tools in English and Chinese pages do not appear in those answers. Chinese content still earns its place for domestic sales, recruitment, and any local partner who searches in Chinese, so most manufacturers selling in both markets end up needing both rather than choosing.
What if an AI system says something wrong about our company?
Inaccurate information usually comes from stale or conflicting sources rather than from the AI inventing something, so the place to start is finding which listing, directory entry or old page is the likely origin and correcting it there. Correcting it on your own website alone rarely resolves it, since the systems weigh several sources against each other, and the outdated one often carries more history.
How long does it take to see results?
Expect the first few months to go on correcting company details and building content worth quoting, with mentions starting to appear after that and improving gradually over the following months. Anyone promising you a top AI result within weeks has either misunderstood how these systems work or is hoping that you have.
We do this kind of work at GlobalSense Marketing in Taichung, mostly for manufacturers who have never had a marketing department and would rather not build one. If you run the test above and the result bothers you, we’re happy to look at what came back and say whether you’re facing a consistency problem or a content problem, since the two are fixed in different ways and at different costs.