Loading blog content, please wait...
Two Dentists, Same Rating, Same Neighborhood. AI Picks One. Both businesses have 4.8 stars. Both serve the same area. Both offer similar services at sim...
Both businesses have 4.8 stars. Both serve the same area. Both offer similar services at similar prices. When someone asks ChatGPT for a recommendation, one gets mentioned and the other doesn't exist.
This isn't random. AI makes choices based on specific signals that have nothing to do with how good you actually are at your job.
When two businesses look similar on paper, AI digs deeper. It's not scanning for who has more reviews or a nicer logo. It's asking a different question entirely: "Which one can I confidently talk about?"
Think about how you'd recommend a restaurant to a friend. You wouldn't just say "they have good reviews." You'd say something specific: "They do this incredible short rib that's been on the menu for years" or "The owner used to work at that place downtown you liked."
AI works the same way. It wants to say something useful. And it can only say something useful if you've given it something to work with.
The business that gets recommended is usually the one that made it easy for AI to understand what makes them different—even if that difference is small.
When two businesses seem equivalent, AI looks for tiebreakers. These aren't ranked in order of importance because AI evaluates holistically, but here's what tends to tip the scale:
Specificity of information. One accounting firm says "We help small businesses with their taxes." The other says "We specialize in tax strategy for restaurants and food service businesses, including multi-location operators and seasonal staffing considerations." AI now knows exactly when to bring up the second firm—and it will.
Quotable content. AI wants to give helpful answers, not just names. If your website has clear answers to common questions, AI can reference them. "According to their site, they offer same-day emergency appointments" is more useful than just listing your business name.
Freshness signals. A business that posted a blog last week looks more alive than one whose last update was 2022. AI notices. Not because fresh content is inherently better, but because it suggests the business is active and the information is current.
Structured data clarity. When your website tells AI explicitly what you do, where you do it, and who you help (through schema markup), there's no guessing. The business that makes AI guess usually loses to the one that doesn't.
Most businesses try to differentiate on things AI can't evaluate: quality of work, customer experience, company culture. These matter enormously to actual customers. They're nearly invisible to AI.
AI can't tell that your team is friendlier or your craftsmanship is superior. It can only work with information it can parse and verify.
So the differentiation that matters for AI recommendations is informational differentiation:
A plumber who says "we handle all your plumbing needs" gives AI nothing to work with. A plumber who says "we specialize in older homes with galvanized pipes and can usually match original fixtures" gives AI a reason to mention them for specific queries.
You don't have to be dramatically different. You just have to be specifically describable.
Here's what frustrates a lot of business owners: the business AI recommends isn't always the best one. Sometimes it's just the most legible one.
A phenomenal dentist with a sparse website and no recent content can lose out to a mediocre dentist who publishes helpful articles and has comprehensive service descriptions.
This feels unfair. And maybe it is. But AI can only recommend what it can understand and verify. Your excellence doesn't transmit through the internet automatically. You have to make it readable.
The good news: this is fixable. The business that's actually better at their craft can also become better at communicating that craft in ways AI understands.
When AI is choosing between similar businesses, the margins are often tiny. A few specific elements that tend to create separation:
FAQ pages with real questions. Not "Why choose us?" but "How long does a root canal actually take?" and "Will my insurance cover this?" These match how people query AI.
Service pages with depth. Not just "We offer X" but "Here's what X involves, who it's for, what to expect, and what questions to ask."
Consistent information everywhere. If your hours are different on your website versus Google versus Yelp, AI has to reconcile conflicting data. The business with consistent information across platforms is easier to trust.
Recent activity. A blog post, a Google Business Profile update, a new review response. Signs of life matter.
None of these require being bigger or spending more. They require being clearer and more current.
Ask ChatGPT or Perplexity for a recommendation in your industry and your area. Look at who comes up. Then look at their websites.
You'll probably notice they're not necessarily the biggest or most established. But they tend to be the most specific about what they do. They have content that answers questions. Their information is easy to parse.
Now look at your own online presence through that lens. If AI had to choose between you and a similar competitor, what would tip the scale in your favor?
If you can't answer that clearly, neither can AI.