AEO for B2B: How to make your business visible in ChatGPT, Perplexity, and Google AI Overviews

Your customers are no longer just searching on Google.

They are asking ChatGPT. They are comparing on Perplexity. They are getting summaries in Google AI Overviews before clicking into any site.

This changes one thing quite brutally: if your business is not mentioned in the AI answers, you could fall out before you even get the chance to be considered.

This is what AEO is about. Not hype. Not a new buzzword for ordinary SEO. Just a new layer of visibility that affects who ends up on the shortlist when buyers do research.

In this guide, we go through what AEO actually is, why it matters for B2B now, and which signals determine whether you are highlighted as a source in AI searches.

What is AEO?

AEO stands for Answer Engine Optimization.

Simply put, it is about making your content, website, and brand easier to understand, trust, and retrieve for AI engines like ChatGPT, Perplexity, and Google AI Overviews.

The goal is not just to rank. The goal is to become a source the AI actually uses when it answers.

For a B2B business, it means something very concrete: that you are mentioned when a potential customer asks which providers, solutions, or professional environments are worth considering.

Why does AEO matter more now than a year ago?

Because the research flow has shifted.

G2 reported in 2026 that 51% of B2B software buyers start research in an AI chat more often than in Google, up from 29% the previous year. The same report shows that 71% use AI chat during the buying process, and that 33% ended up buying from a vendor they did not know beforehand.

The most important point is not the number itself. It is what it means.

The initial assessment of who is relevant happens more often inside an AI answer, not on a standard search results page. Then it is suddenly much more important what the AI understands about you than how many blue links you have traditionally ranked on.

For B2B, this is extra important because buyers use AI precisely for what AI is good at:

• to summarize the market

• to compare vendors

• to create a shortlist

• to explain differences quickly

If you are not part of that answer, you are already falling behind.

Is AEO just SEO with a new name?

No.

SEO and AEO overlap, but they are not the same.

SEO is about being found in search engines and getting clicks to your website. AEO is about being used as a source in a ready-formulated answer.

It sounds like a small difference. It is not.

In traditional search, the user can see many options, compare headlines, and choose which one they want to visit. In AI search, much of that evaluation is done in advance. The engine reads, interprets, and distills the market before the user clicks anything at all.

This means that the competition gets tighter. Not ten organic hits. Often just a few citations, or a short set of recommended players.

SEO is about winning the click. AEO is about winning a place in the answer itself.

SEO is still important. You should not stop doing it. But the two play different games with different rules, and you need to understand both.

The real consequence for B2B businesses

The real consequence is that AI increasingly influences who is considered before the sales dialogue starts.

That is the part many overlook. This is not just about traffic. It is about shortlisting.

G2's 2026 data points out that AI chat is now the most important source influencing which vendors end up on the buyer's list. When AI is given the job of summarizing the market, power shifts slightly away from the classic results page and closer to the sources the model perceives as clear, relevant, and credible.

For a Norwegian B2B company, this means in practice:

• You can be ruled out without knowing it

• Competitors can enter the shortlist before you

• Your brand can be defined by third-party sources, not by yourself

• Good visibility in Google alone is no longer the whole picture

That is why AEO should be treated as a commercial matter, not just a content project.

How do AI engines choose who they cite?

AI engines do not usually choose sources because they are the most popular. They choose sources that are easiest to interpret, most relevant to the question, and most credible across multiple signals.

In practice, we see four recurring factors:

Clarity

The AI must understand what the page is about. If the message is vague, the structure is weak, or the pages try to cover everything at once, extracting a precise answer becomes harder.

Relevance

Content that directly answers an actual question is used more often than broad texts that only mention the topic in passing. That is a major reason why well-structured Q&A sections and clear subheadings work so well.

Trust

AI does not just look at your website. It also picks up signals from the rest of the web. Reviews, profiles, industry lists, references, and articles build a picture of who you are and how credible you seem.

Accessibility

If the content is technically difficult to retrieve, read, or interpret, it does little good how well it is written. AI must actually get access to it before it can use it.

Which AI engines matter most for Norwegian B2B companies?

For most Norwegian B2B companies, three count the most right now:

They work slightly differently, but reward many of the same basic signals: clarity, structure, authority, and citability.

The 7 signals that most often determine if you get cited

When evaluating AI visibility for a B2B company, we usually look for seven things. Not because all are equally important in every case, but because together they provide a precise picture of why some are mentioned and others are not.

1. Clear and citable content

AI retrieves information more easily from content that answers directly. That means short, precise paragraphs, clear subheadings, and formulations that can actually be extracted and stand on their own. If your answer is buried in a long essay, you reduce the chance of being used.

2. Structured layout

Good heading structure, clear thematic delimitation, and pages that cover one intent well make the work easier for both search engines and AI engines. AEO is often more about structure than people think.

3. Schema and clear metadata

Structured data helps machines understand what they are looking at. Article, Organization, Service, and FAQPage are examples of schema types from Schema.org that can make your content easier to interpret, as long as they are correct and match what is actually on the page. Schema alone does not get you citations, but it reduces friction.

4. Original points, data, or experiences

Generic content is easy to replace. Original perspectives are not. If you have your own experiences, a concrete model, clear evaluations, or realistic examples, you increase the chance of being perceived as a source of actual value. This is what many refer to as information gain.

5. Brand mentions outside your own website

AI does not build its understanding of your brand solely from your own domain. It also picks up signals from mentions, industry pages, profiles, directories, media, and other third-party sources. If your entire footprint is "we say we are good ourselves", authority becomes weaker.

6. Clear brand and entity signals

It must be easy to understand who you are. What is the company name? What do you do? Which market do you belong to? When this information is consistent across your website, profiles, and mentions, it becomes easier for AI to connect the brand to the right questions. For some companies, Wikidata is relevant. For many B2B players, it is more important to have consistent signals across their own website, LinkedIn, and directories.

7. Technical accessibility

Pages must be crawlable, loadable, and readable. Errors in robots.txt, poor internal linking, a weak sitemap, or content loaded in a way the AI cannot render, can mean that good content never becomes part of the evaluation foundation.

What about llms.txt?

llms.txt is a text file that can help AI engines understand what they are allowed to use from your website. It can be a useful supporting signal. But support is still limited and uneven across engines, and it should be treated as exactly that: a supporting signal, not a shortcut to AI visibility.

How to check where you stand today

You do not have to wait for an advanced tool to get a first indication. Do this test:

1. Open ChatGPT, Perplexity, and Google

2. Type in questions a potential customer would actually ask

3. See which vendors, sources, and types of pages are mentioned

4. Ask follow-up questions like "why these?" or "who is best suited for [target audience/use case]?"

5. Note if you are mentioned, how you are described, and which competitors appear

For example, you can test questions like:

• Which agencies in Norway are good at AI visibility for B2B?

• Who helps B2B companies become visible in ChatGPT?

• Which companies should we consider if we want to work with AEO in Norway?

This is not a full diagnosis. But it gives you a snapshot of whether you are already part of the answer picture, or if you are invisible. And yes, the differences between the engines can be quite large.

Common mistakes Norwegian B2B companies make with AEO

Most fail not because they make one big mistake. They fail because they underestimate how many small signals must work together.

Here are the most common mistakes we see:

• They think SEO automatically covers AEO. It does not. Good SEO helps, but it is no guarantee that you will be used as a source in AI answers.

• They publish generic content. If the text could have been on any agency page in Norway, you give AI very little reason to choose you specifically.

• They write too broadly. The more a page tries to cover everything, the harder it becomes to cite precisely.

• They lack clear proof. Many claims, few concrete examples, and little documentation make the content weaker.

• They overestimate small technical tweaks. llms.txt is the best example. Nice to have. Not enough to shift position on its own.

• They forget third-party signals. AI does not just read what you say about yourself. It reads what the rest of the web says as well.

How long does it take to see results?

The short answer is: it depends on what the problem is.

If you have technical barriers making the content difficult to read or find, improvements can be noticed relatively quickly. If the challenge is weak authority, few mentions, or overly generic content, it takes longer.

It is more realistic to think of it this way:

No serious actor can promise specific citations within a given week. But you can absolutely map out the starting point, prioritize the right steps, and work systematically with what actually affects visibility.

What should you do first?

Start with a baseline. Not with gut feeling.

Find out:

• if you are mentioned today

• which questions you eventually show up for

• how you are described

• which competitors are highlighted instead

• which signals are missing on your website and outside it

Only then do you know if the problem is about content, structure, authority, technology, or a combination.

That is also why an AI Audit is a smart first step. Not because you need another fancy document, but because you need an honest picture of where you stand before you start optimizing.

Want to know how visible your company actually is in AI search today? Order an AI Audit or get in touch with us in wud, and we will map it out together.

Frequently asked questions about AEO

What is AEO?

AEO stands for Answer Engine Optimization. It is about making your content, website, and brand easier to understand and use as a source in AI-generated answers from ChatGPT, Perplexity, and Google AI Overviews among others.

Is AEO the same as SEO?

No. SEO is primarily about search engine results visibility and clicks. AEO is about being used as a source in the AI answer itself. They overlap, but they are not the same.

Why is AEO important for B2B?

Because more B2B buyers use AI during the research phase. If AI does not mention you when a potential customer asks for recommendations or compares vendors, you may fall out before the dialogue even starts.

How do you become visible in ChatGPT and Perplexity?

Usually by combining clear and citable content, good structure, technical accessibility, correct entity signals, and stronger mentions outside your own website. There is rarely a single tweak that solves everything.

Is it enough to add llms.txt?

No. llms.txt can be a useful supporting signal, but support is still limited and uneven. It should not be treated as the main action in an AEO strategy.

How do I know if my company is mentioned in AI search?

Test specific questions in ChatGPT, Perplexity, and Google AI Overviews. Ask for example "which suppliers in [your industry] should I consider in Norway?" and see if you appear. For a full diagnosis of what is missing, a more thorough review of all signals is needed.

What is the first thing we should do to improve AI visibility?

Start with a baseline: map out where you are mentioned today and which of the seven signals you lack. Then prioritize the technical fixes that yield the fastest effect, such as schema and removing technical barriers, before the strategic work on content and mentions.