How to Get Your Company Mentioned in AI Search Results

There was a time when the goal was simple: get your company to page one of Google, preferably near the top, and hope the person searching clicked your website. That game hasn’t disappeared, but the way people discover companies is changing quickly. Increasingly, people are asking Google, ChatGPT and other AI-powered search systems questions instead of typing a few keywords and sorting through ten blue links. They are asking things like, “Who are the best web design companies in Denver?”, “What company should I use for a custom WordPress website?” or “Who specializes in SEO for local businesses?” The system then has to decide which businesses, websites and sources are relevant enough to mention. That creates a new visibility problem for businesses. It isn’t simply about whether your website ranks for a particular keyword. It is about whether an AI system can understand who you are, what you do, where you operate, who you serve and why your company is relevant to the question being asked. And perhaps more importantly, it needs to have enough information and supporting evidence to feel comfortable putting your company into an answer.

This is where a lot of the current conversation around “AI SEO,” “GEO” and “AEO” gets unnecessarily complicated. There are plenty of people selling the idea that you need some secret new optimization technique to make artificial intelligence notice your website. In reality, the fundamentals are much less mysterious. Google itself says that foundational SEO practices continue to apply to AI search experiences. There isn’t a special piece of magic code that guarantees inclusion, and there isn’t a secret way to force an AI system to recommend your company. The better strategy is to build a website and a broader online presence that clearly establishes what your business is, what it knows and what it actually does. That’s also why understanding how Google actually ranks websites is still relevant even when the search experience starts looking less like traditional Google.

AI Search Is Not Just Another Version of Google

One of the biggest mistakes I see businesses making is treating AI search as though it is simply Google with a chatbot sitting on top of it. It isn’t quite that simple. Traditional search often begins with a query and produces a list of pages that the search engine believes are relevant. AI search can take a more complicated question and break it into related questions, gather information from multiple sources and then construct an answer. Google describes this as “query fan-out,” where its AI features can issue multiple related searches across different subtopics and data sources before producing a response.

Think about what that means from a business perspective. If somebody asks, “Who is a good web design company in Denver for a small business that also needs SEO?”, the system isn’t necessarily looking for a single page that contains the exact phrase “best Denver small business web design and SEO company.” It may be looking across several related pieces of information. It may need to understand which companies provide web design, which ones provide SEO, which ones are actually located in Denver, which companies have relevant experience and which sources provide evidence that those companies really do this work. That is a fundamentally different visibility problem. Your website therefore needs to do more than repeat your primary keyword. It needs to build a coherent picture of the business.

Start by Making Your Company Easy to Understand

Before worrying about AI search, I would look at your own website and ask a very basic question: Could a stranger understand exactly what this company does after spending thirty seconds on the site? If the answer is no, AI isn’t going to magically solve that problem. Your company name should be consistent. Your services should be clearly described. Your location should be clear when location matters. Your About page should actually explain who is behind the business. Your service pages should explain what you do rather than simply repeating marketing language. Your contact information should be legitimate and easy to find. Your Google Business Profile and other important business profiles should accurately reflect the same information.

This sounds almost too basic to be part of an article about AI search, but it matters because AI systems need information from which to build their understanding of a business. A company that describes itself as a Denver web design company on its homepage, has a detailed Denver web design service page, publishes useful material about web design and SEO, has legitimate client examples, appears in relevant local sources and maintains consistent business information gives search systems a much clearer picture than a company whose website simply says “We create digital experiences.” There is a difference between clever marketing language and useful information. AI search makes that difference more obvious. If you are building that foundation, your main Denver web design page should make the service and geographic relevance unmistakable rather than assuming Google—or an AI system—will figure it out from context. And this is closely connected to site structure and SEO performance, because a business can have plenty of good information and still make it unnecessarily difficult for search engines and visitors to understand how everything fits together.

Your Website Needs to Establish More Than Keywords

For years, SEO conversations have revolved around keywords. What keyword are you targeting? How many times does it appear? Is it in the title? Is it in the first paragraph? Those questions aren’t completely irrelevant, but they are not enough. A business is more than a collection of keywords. If Big Orange Planet writes about Denver web design, SEO, website development, branding and AI search, those subjects should connect to an identifiable business with a history of doing that work. The website should demonstrate the relationship between those subjects rather than publishing dozens of disconnected articles simply because someone found a keyword with search volume. This is one reason the idea of topical authority has become increasingly important. A website should demonstrate that it understands a subject rather than simply mentioning the words associated with it.

This is also why I think the idea of an “entity” is useful, although I wouldn’t get too hung up on the terminology. Your company should become recognizable as a thing—not just a domain, not just a logo and not just a keyword, but a real business with services, expertise, location, people, projects, opinions, clients and evidence. The stronger that overall picture becomes, the easier it is for search systems to understand where your company fits. That is a much more useful way to think about keyword clusters rather than isolated keywords, because the goal is to establish meaning and relevance rather than simply collect keyword variations.

Your Service Pages Matter More Than You Think

One of the easiest ways to improve your AI-search readiness is to stop treating service pages like sales brochures. A good service page should answer the questions a prospective customer actually has. What is the service? Who is it for? What does the process look like? What problems does it solve? What makes your approach different? What does the customer actually receive? What kinds of businesses do you work with? What experience do you have? What happens after someone contacts you?

You don’t have to turn every page into an FAQ farm. In fact, I wouldn’t. Instead, write the page like you’re explaining the service to a real customer who is sitting across the desk from you. This also makes the page considerably more useful for traditional search. Google’s current guidance emphasizes helpful, reliable, people-first content, while its documentation makes clear that existing SEO fundamentals remain relevant to generative AI search experiences. That’s an important point because there is a tendency to think you need one strategy for Google and another completely different strategy for AI. You don’t. You need a better website. And if you’re wondering why an otherwise useful page isn’t getting traction, the newer guide on why some website content never ranks gets into the structural, technical and content problems that can keep good information from being discovered.

Answer the Questions Your Customers Actually Ask

This is one area where AI search does change the content strategy. People don’t always think in keywords anymore. They think in questions. They might ask, “Who builds custom WordPress websites in Denver?”, “What’s the difference between a template website and a custom website?”, “How much does a professional business website cost?”, “Do I need SEO when I build a new website?”, “Why did my Google rankings suddenly drop?” or “Who can redesign an existing website without losing its SEO?” Those questions represent opportunities for useful content.

But there is an important distinction here. I don’t recommend creating a separate 1,000-word article for every variation of the same question simply because someone tells you AI search likes question-based content. That can quickly turn into a pile of thin, repetitive pages. Instead, take the bigger questions your customers genuinely have and answer them well. One strong article that thoroughly explains a subject is generally more valuable than fifteen thin articles that say essentially the same thing. If you are building out that content strategy, the distinction between useful content and pages that exist primarily because somebody found another keyword is worth understanding before you publish another article.

Original Experience Is Becoming More Valuable

This may be one of the most important changes in the entire search environment. AI systems can produce generic information very easily. That means generic information is becoming less valuable as a differentiator. If I ask an AI system to explain what SEO is, it can produce a perfectly reasonable explanation in seconds. If your website publishes another generic article explaining that SEO helps websites rank in search engines, you’re not giving the web anything particularly new.

But if you explain what you have actually seen happen to a website during a major Google ranking shift, show how you diagnosed the problem, explain what you changed and describe what happened afterward, you’ve created something different. That’s experience. The same thing applies to web design. A generic article can tell somebody that page speed matters. A web designer who has actually rebuilt a slow WordPress site, identified the scripts and styles creating the bottleneck, changed the loading strategy and measured the improvement can explain something much more useful. That kind of material is difficult to manufacture because it comes from doing the work. And that is exactly why I think the future of AI search is going to reward businesses that document what they actually know rather than businesses that simply publish enormous quantities of AI-generated articles. It is also why the question of what people actually trust in the age of AI is becoming inseparable from the broader conversation about search visibility.

Case Studies Are Evidence

If you want AI systems—and humans—to understand that your company actually does something, show the work. A case study can explain the problem, the approach, the solution and the result. It doesn’t have to reveal confidential client information. It doesn’t need to be a giant success story with unbelievable percentages. Sometimes the most useful case studies are simple. A client had an outdated website. The site wasn’t generating leads. The navigation was confusing. The website wasn’t performing well on mobile. The business had little organic visibility. You rebuilt the site, changed the structure, improved the content, fixed technical problems and created a better conversion path. That tells a prospective customer much more than “We create beautiful websites.” It also gives search systems concrete information about what your company actually does.

Your Reputation Doesn’t Stop at Your Website

This is where the original version of this article was heading in the right direction, but I would frame it differently today. AI search does not exist inside your website. Your company exists across the web. That can include your Google Business Profile, legitimate business directories, industry organizations, local publications, interviews, client websites, reviews, social profiles, professional profiles, videos and other sources. The objective isn’t to get your company name copied onto as many websites as possible. That’s an old-school SEO mentality. The objective is to build a consistent and legitimate web presence.

If your website says you’re a Denver web design company, your Google Business Profile says the same thing, a local organization lists you accurately, clients talk about the work you’ve done, and relevant third-party sources reference your company in appropriate contexts, those pieces reinforce one another. On the other hand, if you buy a hundred low-quality links and get your business mentioned on unrelated websites that have nothing to do with your industry, you’ve created noise rather than authority. More mentions are not automatically better mentions. The newer article The Link Is Not the Strategy gets into this distinction in much more detail, because a backlink by itself isn’t the strategy. The relevance, context and quality surrounding that link matter.

Reviews Can Add Context

Reviews are another interesting piece of the puzzle because they’re written by people who have actually interacted with your company. Don’t try to script what customers say. That’s not authentic and it can become painfully obvious. But when a customer naturally describes the work you performed—“They redesigned our website,” “They helped us improve our SEO,” “They built our WordPress site,” or “They helped our business show up better locally”—those descriptions provide context around the relationship between the customer and your business.

The important word here is naturally. Don’t send customers a paragraph and tell them to paste it into Google. Instead, do good work, ask for an honest review and make it easy for the customer to describe their experience. Then respond professionally. That’s reputation building, not keyword stuffing. For local businesses, that broader reputation also connects directly with the local SEO mistakes that cost businesses leads in Denver, because local visibility is about much more than putting a city name on a page.

Structured Data Helps, But It Isn’t a Secret AI Switch

The original version of this article treated structured data almost like an instruction manual for AI. I’d be more careful about that today. Structured data is useful because it helps search engines understand information on a page. Depending on the site and content, appropriate structured data can describe organizations, local businesses, services, products and other entities.

But don’t confuse structured data with an AI command. There is no special “AI schema” that tells Google to recommend your business. Google’s current documentation is clear that there is no special structured data required for AI Overviews or AI Mode, and site owners don’t need to create special machine-readable AI files to appear in those features. Use structured data where it makes sense, make sure it accurately represents the visible content on the page, and then move on to the things that actually make the website useful. The larger technical foundation still matters, which is why I recommend understanding the technical SEO basics every business should know before getting distracted by the newest AI optimization theory.

Don’t Chase Every New AI SEO Hack

This is where I would tell business owners to slow down. Every few months, somebody announces a new “AI SEO hack.” Maybe it’s a special file. Maybe it’s a new markup format. Maybe you’re supposed to put your answers into a particular structure. Maybe you’re supposed to create tiny paragraphs. Maybe you’re supposed to repeat your company name every 200 words. Maybe you’re supposed to create content designed specifically for language models.

Some of these ideas may have interesting technical applications. But businesses get into trouble when they start optimizing for theories instead of customers. Google’s current documentation addresses several of these ideas and says that site owners don’t need special AI text files such as llms.txt, special schema, or so-called “chunking” tactics to appear in its generative AI features. Google instead points site owners back toward foundational SEO, technical accessibility, useful content and user-focused quality. That doesn’t mean the AI search landscape isn’t changing. It absolutely is. It means the safest long-term strategy is to build something useful enough that the changes don’t matter as much.

Local Businesses Have an Advantage If They Actually Know Their Market

For a local company, this gets even more interesting. Let’s say someone asks an AI system for a web design company in Denver. A national agency might have a much larger domain and thousands of pages. But a Denver company can establish something a national agency can’t easily manufacture: genuine local relevance. Write about Denver businesses. Talk about local website challenges. Create useful information for Colorado companies. Build relationships with legitimate local organizations. Show actual Denver projects. Maintain accurate local business information. Publish content that demonstrates familiarity with the market. And make your location obvious.

This is much stronger than taking a generic article about web design and replacing every fifth occurrence of “business” with “Denver business.” Local authority comes from context. If you’re interested in the broader relationship between websites, SEO and local visibility, I’ve gone much deeper into Denver SEO services. You can also see how the strategy works at a more practical level in How to Rank in Denver Search Results When Rankings Won’t Sit Still.

Internal Linking Helps Build That Context

One of the most overlooked pieces of this entire conversation is internal linking. Your website should not be a collection of isolated articles. Your pages should explain relationships. An article about website speed should connect naturally to your web design services. An article about SEO should connect to your SEO service. An article about website architecture should connect to related development content. A discussion of AI search should connect to content about Google, rankings, content strategy and website structure.

That’s how you build a topical structure. It also gives search engines additional context about the relationships between your pages, and it helps people actually navigate the site. I have written more about this in Internal Linking: The Most Overlooked SEO Lever, because internal links are not simply navigation. They help establish relationships between pages, reinforce important subjects and direct authority toward the pages that matter. The same basic principle applies to AI search. Discovery is only the beginning.

Your Content Doesn’t Have to Be Written by a Human With a Typewriter

Let’s also clear up another misconception. Using AI to help create content isn’t automatically a problem. The problem is creating content that has no real value. If you use AI to help organize research, brainstorm ideas, improve clarity, identify gaps or edit a draft based on your own experience, that’s very different from asking an AI system to generate 500 articles and publishing them without meaningful review.

Google’s current guidance doesn’t say that content must be written entirely by humans. It says content should comply with Search Essentials and spam policies and should provide value to people. That distinction matters. The goal isn’t to hide the fact that technology was involved. The goal is to make sure the finished material actually deserves to exist. I would much rather publish one article based on ten years of real experience than publish fifty articles that all sound like they were generated from the same prompt.

Images, Video and Other Content Matter Too

AI search is becoming increasingly multimodal. People aren’t limited to typing text into a search box. They can use images, video and other forms of information as part of the discovery process. That means your website shouldn’t be a wall of text. Use relevant images. Explain what those images represent. Use descriptive alt text where appropriate. Create videos that actually teach something. Include transcripts when useful. Show real projects. Use diagrams when a diagram explains something better than three paragraphs.

But don’t do this because somebody told you an AI bot likes pictures. Do it because people do. Search engines are increasingly getting better at understanding what people find useful, and a strong visual and textual experience gives both users and search systems more information to work with.

Test Whether Your Company Is Actually Being Mentioned

Eventually you need to stop theorizing and test it. Search for your company. Ask questions related to your services. Ask questions related to your location. Ask questions where you would reasonably expect your company to be considered. Don’t just ask, “What are the best companies?” Get more specific: “Who are some Denver web design companies that build custom WordPress websites?” “Who provides SEO services for small businesses in Denver?” “What companies in Denver specialize in website redesign?” Then look at which companies appear and pay attention to how they’re described. More importantly, look at the sources and supporting links.

If your competitors consistently appear while your company doesn’t, don’t immediately assume you need some magical AI optimization tactic. Look at what the competitors have that you don’t. Do they have stronger service pages? More relevant content? More legitimate third-party references? More reviews? More case studies? More local relevance? A stronger website? Better-established expertise? That’s where the useful answers usually are. If the visibility problem is broader than AI mentions and you’re seeing organic rankings move as well, how to tell if your SEO rankings are at risk is a good place to start before making major changes.

Measure More Than Traffic

AI search also changes the way we should think about measurement. A business owner can become obsessed with whether an AI system mentioned the company once. That’s not enough. What matters is whether that visibility eventually produces something useful. Did people visit the site? Did they spend meaningful time there? Did they contact the business? Did they request a quote? Did they call? Did they become a customer?

Google has also continued to expand Search Console reporting around generative AI visibility, giving website owners more opportunity to understand how their content is appearing in AI search experiences. That gives businesses a much better opportunity to move beyond guessing. AI visibility is interesting. Business visibility is better still. Revenue is better still. And that is ultimately why I wouldn’t separate AI search from the larger question of whether a website is actually helping the business. Search traffic that never becomes meaningful engagement isn’t the finish line. The website still has to do its job after someone arrives.

The Goal Isn’t to Make AI Like You

This is where I think the title of the original article needs a philosophical upgrade. You don’t need to “upset the robot.” You don’t need to make an AI system like your company. You need to make your company understandable. You need to make your expertise visible. You need to make your claims supportable. You need to make your website crawlable and technically sound. You need to create content that actually helps people. You need to build legitimate authority beyond your own domain. And you need to make it easy for search systems—and humans—to connect all of those pieces.

That’s a much more durable strategy than trying to reverse-engineer whatever the latest AI model happens to be doing this month. The goal isn’t to get mentioned at any cost. The goal is to get mentioned for the right reasons. If an AI system eventually looks at all of that information and decides your company belongs in the answer, that’s not because you successfully tricked the robot. It’s because you gave it enough evidence to make a reasonable decision.

AI Search Is Still Search

The biggest mistake businesses can make right now is abandoning everything they know about SEO because AI search sounds new. It is new, but it isn’t disconnected from search. Google’s own documentation makes that point clearly. Its generative AI features are built on top of core Search systems, and the same fundamental practices—crawlability, indexing, useful content, strong site structure, good page experience and relevant information—still matter. The broader lesson is the same one we keep seeing across SEO: search visibility is built from connected pieces rather than one isolated trick. That’s why how Google decides which websites rank is worth understanding alongside all of the newer AI-search discussion.

So I wouldn’t build an “AI SEO website.” I’d build a good website. I’d make the company obvious. I’d make the services obvious. I’d make the expertise obvious. I’d publish things worth reading. I’d document real work. I’d build legitimate relationships and references around the business. I’d keep the technical side clean. I’d create useful content that answers real questions. Then I’d watch what happens.

Because that’s the interesting part of where search is going. The websites that survive every new change aren’t necessarily the ones that discover the newest trick first. They’re the ones that consistently give search engines something useful to find and give people a reason to trust what they find. And if an AI system eventually looks at all of that information and decides your company belongs in the answer, that’s not because you successfully tricked the robot. It’s because you gave it enough evidence to make a reasonable decision.

It’s because you gave it enough evidence to make a reasonable decision.

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