Why Doesn’t AI Recommend My Business? | Real World Experience #7

By Ally Lennon  – 8 minute read

One of the more frustrating things about AI search is that you can do a lot of things right and still not get recommended. Your business has a website. You have reviews. You’ve published content. Maybe you’ve even appeared in AI-generated answers before. Then you ask an AI system for businesses like yours and your company isn’t there.

That doesn’t necessarily mean something is broken. An AI system isn’t simply looking for every business that matches a keyword and returning the same list every time. It’s trying to answer a particular person’s question, with a particular set of circumstances, using the information it can find. Being visible is one thing. Being considered the right answer is another.

AI Is Trying to Match the Business to the Question

This is probably the most important thing to understand. A person might ask, “Who is a good web design company in Denver?” and get one set of recommendations. Change the question to “Who can help a small Denver business rebuild an outdated WordPress site and improve its SEO?” and the answer may change completely. Add a budget, an industry, a location or a specific problem and the pool changes again. Your business doesn’t have to be the answer to every question. It needs to be relevant to the questions that actually describe your ideal customers and the problems you solve.

Being Mentioned Doesn’t Mean Being Recommended

We’ve already looked at why getting your business mentioned by AI is harder than it sounds. But there’s another step after that. An AI system might know your company exists, understand what you do and even mention you in one answer without deciding that you’re the right recommendation for a different question. Recommendation involves another layer of judgment about fit, and that fit depends on the specific request being made.

Your Website May Not Say Enough

Sometimes the problem is surprisingly simple: the website doesn’t give the system enough information to understand the business. A homepage might say “we build powerful digital experiences” without clearly explaining the services, industries, geography, customers or problems the company specializes in. That may sound good in a branding meeting, but it doesn’t provide much useful context. A business should be able to explain what it does in plain language: who it works with, where it works, what problems it solves, what kinds of projects it handles and what makes its approach different. The clearer those answers are, the easier it becomes for both people and machines to understand where the business fits.

Specificity Can Matter More Than Trying to Be Everything

Businesses often want to appear capable of serving everyone, but broad positioning can actually make relevance harder to establish. A company that says it works with “businesses of all sizes across every industry” gives an AI system very little reason to connect it with a specific situation. A company that clearly demonstrates expertise in a particular service, market or type of customer provides much more useful context. That doesn’t mean artificially narrowing the business. It means explaining the areas where you genuinely have experience so there is something concrete to match against when a specific question comes along.

Your Reputation Exists Beyond Your Website

Your website is only one part of the picture. AI systems can encounter information about your company through reviews, directories, publications, professional organizations, social profiles, local websites and other third-party sources. If those sources consistently reinforce what your website says, they help create a clearer picture of the business. If they contradict it, use outdated information or barely mention what you actually do, the picture becomes less certain.

Reviews are particularly interesting because they’re coming from customers rather than the business itself. Customers might repeatedly mention responsiveness, a particular service, a geographic area or a type of project that the company’s own website barely discusses. That doesn’t mean you should manufacture reviews or try to create a particular AI profile. It means your actual reputation becomes part of the broader information surrounding the business. As we discussed in Backlinks Aren’t the Point: What Actually Makes a Link Valuable, a reference is more useful when there is a legitimate reason for it to exist. The same basic principle applies to the broader information ecosystem around a business.

AI Doesn’t Have to Agree With Your Marketing

This is an uncomfortable one for businesses. You control your website copy, but you don’t control how an AI system interprets it. You can say you’re an expert in something, but the system may encounter very little independent evidence supporting that claim. Or it may find a different description of your company somewhere else. That isn’t necessarily a reason to panic. It can be useful information. If the way you describe your business and the way the rest of the web describes it are dramatically different, you’ve found something worth investigating.

More Content Isn’t Automatically the Answer

When businesses discover that AI doesn’t recommend them, the instinct is often to publish more. More blog posts. More service pages. More AI-generated FAQs. More articles targeting more variations of the same phrase. Sometimes additional content is exactly what a business needs. Sometimes it just creates a larger pile of information without improving the underlying picture.

The better question is what information is missing. If customers repeatedly ask questions your website doesn’t answer, create useful content around those questions. If your services aren’t clear, improve the service pages. If your location is vague, explain the areas you actually serve. If your expertise isn’t demonstrated anywhere, create material that demonstrates it. Content should solve an information problem rather than simply fill a publishing calendar.

Local Relevance Can Be a Big Signal

For local businesses, geography can make the recommendation question even more specific. “Web designer” is broad. “Denver web designer for a small professional services company” is much more precise. The same applies to a realtor in Cody, a contractor serving Colorado mountain communities or a medical construction company working in Boulder and Colorado Springs. The more clearly your business establishes where it operates and what it does in those places, the easier it becomes to understand the situations where your company might actually be relevant. This is one area where local SEO and GEO overlap naturally rather than competing with each other.

The Question Changes the Answer

This is why I wouldn’t judge your AI visibility by typing your company name into one chatbot and asking, “What do you think?” That’s an interesting experiment, but it doesn’t tell you much about how your business performs across real customer questions. The useful test is whether your company appears when people ask the kinds of questions your ideal customers would actually ask. Change the wording. Change the location. Change the customer type. Change the problem. If your business is relevant across several realistic variations, that’s much more interesting than getting one flattering screenshot.

There Is No Guaranteed AI Recommendation

This is where businesses should be careful with anyone selling certainty. No outside consultant can guarantee that ChatGPT, Gemini, Google or another AI platform will recommend a particular business for a particular question indefinitely. The systems change, the information changes and the questions change. What you can do is improve the underlying conditions: make the business easier to understand, publish genuinely useful information, build real authority, keep business information consistent, maintain a credible reputation and make the website useful when somebody arrives.

That’s also why I see GEO as an extension of a larger search strategy rather than a replacement for it. Our GEO SEO guide gets into that broader relationship between traditional search visibility and AI-generated results.

The Real Goal Is Relevance

I think this is where the whole GEO conversation gets more practical. The goal isn’t to make AI love your company. The goal is to make your business genuinely relevant to a particular customer problem and make that relevance obvious through the information available online. If somebody asks an AI system a question that your business is genuinely well suited to answer, you want the system to have enough accurate information to understand that. You’re not trying to manufacture a recommendation out of thin air. You’re making the evidence easier to find and understand.

AI Recommendations Are Only One Part of Discovery

And even when an AI system does recommend your company, the customer still has to make a decision. They’ll visit your website, compare you with other businesses, look at reviews, evaluate your services and decide whether they trust you enough to make contact. AI visibility can create an opportunity, but it doesn’t replace the rest of the customer journey. I wouldn’t build an entire marketing strategy around AI recommendations. Treat them as another discovery channel that is developing quickly, while continuing to build the business, website, content and reputation that make every discovery channel more useful.

You can’t force AI to recommend your business. You can make your business easier to understand, easier to verify and more relevant to the questions your customers are actually asking. That’s the part you can control.

This article was written by Ally Lennon, Big Orange Planet’s SEO legend—call him directly! Phone: 720-272-0770. 

Related Reading

This article reflects the thinking behind how we approach websites, artificial intelligence, search and long-term digital strategy at Big Orange Planet. If you found it useful, you might also enjoy:

Over the coming months, The Big Orange Planet Journal will continue exploring search, branding, website architecture, local SEO, artificial intelligence and the ideas shaping how businesses are discovered — and trusted — online. If you’d like to follow along, you can sign up below for new articles and ideas as we publish them. If you’d like to discuss your website, SEO strategy or digital marketing goals, visit our Contact Us page or explore our Denver web design and SEO services.

About Ally Lennon

Ally Lennon is the founder of Big Orange Planet, a Denver web design and SEO company. He builds websites, fixes the ones that aren't working, and has spent more than two decades developing SEO strategies that get businesses found online. He also spends an unreasonable amount of time figuring out what Google, AI and the rest of the internet are going to do next.

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