How AI Decides Which Businesses to Recommend and Not Just Cite

Ask ChatGPT, Claude or Google’s AI to recommend a business, and the results can feel surprisingly unpredictable.

In late 2025, 600 volunteers ran 12 identical prompts through these AI platforms a combined 2,961 times. The results were anything but consistent. SparkToro found that there was less than a 1-in-100 chance of getting the same list of brands twice and an even smaller chance of getting the same list in the same order.

But here's the interesting part: Some businesses kept showing up.

That's where things get really interesting for marketers. If you've read our guide on how to make AI cite your website, you already know that getting your website mentioned as a source is one part of AI visibility. Being recommended is another.

When someone asks an AI tool, “Who should I hire?” or “What company should I use?”, the answer isn't based only on what's written on your website.

AI can look at a much bigger picture: your brand, reviews, business information, online mentions and what other sources say about you.

So, the real question isn't just “How do I get AI to find my website?”  it's “How do I become the kind of business AI feels confident recommending?”

That's what we're going to explore.

What Is the Difference Between Being Cited and Being Recommended?

Being cited and being recommended are two different things.

A citation means an AI tool used your page as a source for information. A recommendation means it actually named your business when someone asked, “Who should I choose?”

You can get one without getting the other. Think of it as evidence versus a recommendation. For example, if someone asks ChatGPT to explain what a Google Business Profile is, it may cite your page because you have useful information about the topic.

But if someone asks, “Who is the best SEO agency in Waterloo Region?”, the task is different. Now the AI has to consider multiple businesses and decide which ones to mention.

Your own website can't tell the whole story. AI may also look at reviews, business information, mentions on other websites, and what independent sources say about your company.

And here's an important caveat: nobody outside the AI companies knows the exact formula behind these recommendations. OpenAI says ChatGPT Search uses multiple factors intended to surface relevant, reliable information, and that placement is not guaranteed.

So, the ideas in this article aren't a secret AI ranking formula. They're patterns researchers have observed when studying how AI systems recommend businesses and brands. We'll look at what the research suggests, where the evidence is strong, and where there is still uncertainty.

Does AI Keep a Ranked List of Businesses?

Not exactly. AI recommendations can change from one response to the next.

In SparkToro's study, identical prompts often produced different brands, rankings, and numbers of recommendations. As SparkToro co-founder Rand Fishkin put it:

"Any tool that gives a 'ranking position in AI' is full of baloney."

But there's an important pattern: some brands kept appearing.

For 142 headphone prompts, the most visible brands appeared in 55% to 77% of responses. This suggests it's more useful to think about a consideration set, meaning the businesses AI is likely to consider for a particular question, rather than one permanent leaderboard.

The goal isn't to hold one fixed position. It's to be considered consistently. The study was not peer-reviewed, and its authors disclosed a connection to an AI tracking company. So, these findings show patterns, not a definitive AI ranking formula.

How Many People Ask AI to Recommend Businesses?

More people are using AI to help decide what businesses to consider, and Canadians are part of that shift.

BrightLocal's 2026 Local Consumer Review Survey found that 45% of US consumers used AI for local business recommendations in the past year, up from 6% in 2025. The survey covered 1,002 US adults, so this is a US benchmark, not a Canadian figure.

In Canada, a June 2026 Léger survey for National Bank found that 39% of Canadians used generative AI to help make a purchase decision in the previous 12 months. In Ontario, the figure was 41%.

The interesting part is what happens next. AI recommendations can get a business onto the shortlist, but consumers still want to check the evidence. BrightLocal found that 88% of active AI users still verify local recommendations, while 97% sometimes compare them with real reviews.

So, getting recommended by AI is only the first step. Your reviews, website, and business listings still have to convince the customer.

Signal 1: Do Brand Mentions Matter More Than Your Own Website?

Yes. Research suggests that what others say about your business can matter more for AI visibility than how much content you publish yourself.

Ahrefs studied 75,000 brands and found strong correlations between AI visibility and off-site brand mentions. YouTube mentions showed a correlation of 0.737, while branded web mentions ranged from 0.66 to 0.71. The website content volume was much weaker at 0.194. Ahrefs notes that correlation does not prove causation.

Muck Rack found a similar pattern. In its analysis of more than 25 million AI citations, earned media accounted for 84% of citations, compared with just 0.3% for paid and advertorial content.

The takeaway is simple: don't just publish content. Give people reasons to mention your business.

Industry lists, local publications, expert commentary, partnerships, and genuinely useful data can all help build those independent signals. Remember not to manufacture mentions for the sake of AI visibility. Google's guidance recommends focusing on genuinely useful content instead.

Signal 2: Are Reviews a Ranking Factor or a Filter?

Reviews may work more like a filter than a ranking score.

SOCi's 2026 study of roughly 350,000 locations found that businesses recommended by ChatGPT averaged 4.3 stars. SOCi suggests lower-rated businesses may be filtered out rather than simply ranked lower, although the data does not prove a specific rating cutoff.

Your reviews also shouldn't live in just one place. Building a presence across relevant review platforms can give AI more independent signals about your business.

Three habits are worth building:

• Ask for detailed reviews that mention specific strengths.
• Respond to reviews to show you're actively engaged.
• Keep reviews consistent rather than collecting them in occasional bursts.

And never buy or fake reviews. Trust matters more than volume.

Signal 3: Why Does Consistent Company Information Matter So Much?

AI needs consistent information it can verify. When your business details disagree across sources, things get messy.

SOCi found that business profile accuracy varied significantly across AI platforms, and recommendation rates followed a similar pattern.

Ahrefs found something even more interesting. In an experiment with a fake brand, conflicting information published online was repeated as fact by some AI tools. This shows how easily AI can pick up and repeat inaccurate information when sources disagree.

The practical takeaway is simple: be specific and consistent.

Instead of saying "We're a leading provider," give AI clear facts about your business, including when you started, where you operate, what you offer and who you serve. Keep those details consistent across your website, Google Business Profile, directories, review sites, and other online mentions.

For more on this, see our guides on entity optimization and what to do when AI gets your business wrong.

Not sure what AI says about your business? Use our step-by-step guide to auditing and fixing AI misinformation.

How Can You Check Whether AI Recommends Your Business?

Run a simple AI visibility audit, then fix what you find.

1. Ask the questions customers ask.
   Try prompts like “best [service] in [city]” or “who should I hire for [problem]?” Run them a few times across ChatGPT, Gemini and Google's AI Mode. Track how often you're mentioned, not your position.
    
2. Check the sources.
   See which websites AI relies on. You may find directories, review sites, or articles matter more than your homepage.
    
3. Fix inconsistent information.
   Make sure your name, address, phone, hours and services match across Google Business Profile, directories and industry sites.
    
4. Build better reviews.
   Ask for honest, specific feedback and stay active across the review platforms that matter in your industry.
    
5. Earn real mentions.
   Local media, industry associations, chambers, and community involvement can all create useful independent signals.
    
6. Make your website specific.
   Add clear facts to your About and service pages, answer common questions and make sure AI crawlers can access your website. Then monitor results through Search Console and GA4's AI traffic reports.

Don't waste time chasing a fixed “AI ranking.” There isn't one reliable leaderboard. Focus instead on making your business easy to understand, verify, and recommend.

For more context, see Being No. 1 on Google May No Longer Be Enough.

The Bottom Line: Be the Business the Web Already Agrees On

AI doesn't just look at what you say about your business. It looks at what others say too.

That means being consistent and easy to verify accurate business details, honest reviews across relevant platforms, and genuine mentions from sources you don't control.

It won't happen overnight, and no study can guarantee an AI recommendation. But the same groundwork also helps customers who want to verify what AI tells them.

At REM Web Solutions, this reputation layer now sits alongside the technical and content work we do for Canadian businesses.

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