How Do AI Platforms Decide Which Businesses to Recommend?
August 21, 2026 - 14 minutes read
When someone asks Claude, ChatGPT or other AI platforms a question about your industry, AI recommends businesses based on three signals:
- Accurate business information across the internet
- Recent, detailed reviews
- Content that proves they are the experts in their industry
People are using AI platforms for research more than ever before because these platforms are not handing someone a list of links to sort through on their own. ChatGPT, Claude, Perplexity, Gemini, and other AI tools are giving conversational recommendations in their answers. The businesses they recommend are sending the clearest trust signals.
This is a good thing! It tells you that businesses are not being recommended by AI due to luck. It comes down to three specific things that you can work on behind the scenes and ensure they are robust.
How Has AI Changed The Way People Search For A Business?
People Ask Full Questions Now
Take a minute to glance at the last thing you searched for. If you’re looking to improve your dog’s manners, instead of typing “dog trainer Elkhart,” you’d probably type in something more along the lines of “What dog trainers near me who are certified, do not use fear-based training, and have experience with big dogs?”
With a query like that, you’re not sitting and scrolling through unrelated results, you expect clear recommendations in return.
Don’t just take our word for how fast this new search trend is moving! In a single year, the use of ChatGPT and other AI tools for local business recommendations jumped from 6% to 45%. That puts AI in third place for the most popular source for local recs, behind only Google and Facebook. When you zoom out, the impact is even greater. AI tools now generate a volume of monthly sessions that are equal to 56% of worldwide search engine volume.
The most important thing that tells us is this: if your business is only optimizing for Google ranking, you are missing out on a huge opportunity that is only growing in size.
What’s The Difference Between SEO, AEO, And GEO?
SEO, AEO and GEO are different tactics used to help people and AI platforms find and cite content.
- SEO – Search Engine Optimization: getting found in a list of links, this strategy is built around keywords that people type into their search bar.
- AEO – Answer Engine Optimization: getting picked from a direct answer, like those you see in a Google AI Overview.
- GEO – Generative Engine Optimization: getting cited by name when engines like ChatGPT, Perplexity, Claude, and Gemini recommend a business.
Your business needs all three of these working together, as each one covers a different aspect of how people are searching today.
Does Ranking Well On Google Guarantee An AI Recommendation?
Since you rank well on Google, it’s easy to assume that you’d also rank well with AI. Unfortunately, that is not a guarantee. In 2025, 76% of the pages cited in Google’s AI Overview ranked in the top 10 for that same search. In 2026, that number sits at only 38%.
In 2026, AI platforms are pulling from a much bigger pool of sources, which means while your business may rank well on Google, there’s still a good chance that the answers AI needs to pull from are missing.
What Are The Signals AI Needs To Recommend A Business?
Before an AI platform recommends a business, it looks for three things across the internet: structured data signals, reputation signals, and content signals.
Much of this opportunity is right at your fingertips, as 86% of AI citations come from sources that a brand itself already manages, like its website and business listings.
If you miss one of these necessary signals, an AI platform has less reason to recommend you, and will move on to a better-optimized competitor to recommend instead.
Signal 1: Structured And Consistent Business Information
The first signal is the most basic information about your business: your name, address, and phone number. This is the information that your customers rely on to find you.
Having the correct name, address, and phone number on your website isn’t enough. They need to match everywhere that they appear online. Don’t forget your hours, business attributes, and photos, as AI platforms place heavy emphasis on those as well. And consistency across all directories means just that: all directories. From Yelp to your Google Business Profile to Apple Maps to Bing and listings on sites you may not even know about.
Consistency is important with even the tiniest details. If your business name includes the word “and” in one place and an ampersand in another, that counts as an inconsistency to AI. It will read it as a red flag instead of a small difference.
The small details are key when AI platforms look for you. Businesses with consistent listing data are 40% more likely to rank high in Google results, and AI platforms value that same consistency and check for it before recommending a business.
Signal 2: Real And Recent Reviews
You’re likely already aware of how important reviews are to your potential customers. They’re equally as important, if not more important, to AI platforms.
AI platforms weigh the number of reviews you have, the sentiment of those reviews, and whether or not you’ve responded to reviewers. If you have a few 5-star reviews from a few years ago, that doesn’t hold much weight for AI. On the other hand, if you have a steady stream of recent reviews (that don’t even necessarily have to be perfect 5 stars), that your business has thoughtfully responded to, that lets AI know that your business is active and worthy of consideration.
Thoughtful responses are key. That’s the signal that tells AI that you are responsive and involved with your customers, as 81% of consumers expect a response to their review within a week. Just like you want customers’ feedback, they’d like yours in return.
Signal 3: Content That Proves Your Expertise
AI is looking for content on your website that proves your business has handled the situation that a customer has found themselves in, and a headline that reads “we’re the experts” is far from enough.
AI needs details so it can provide a customer those same details, and a blog post is a great place to put them. A blog post walking through how your business has solved a specific problem for a customer, especially when this post answers the exact question a customer is asking, gets you recommended.
The strongest version of a citable blog leads with a direct answer right off the bat (in the first 50-100 words), along with:
- H2s and H3s, preferably in question format (so the answer can be found directly in the paragraphs to follow).
- This makes the blog easy for AI platforms to find the relevant question and answer to provide it to whoever’s searching.
- Quotes from employees on staff, including their names and titles.
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- This bolsters trust for AI platforms. When a real employee from your actual company has something to say about your business, it’s proof of authenticity.
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- Cited statistics from reputable sources.
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- Statistics should be recent and verifiable. Including 2-3 (or more) is the best practice!
What Keeps A Business From Getting Recommended?
Addressing The Three Signals Separately
When you’ve got one of these signals right, it feels satisfying. So satisfying that many business owners think that treating just one is “good enough,” but it’s not. To get recommended by AI, all three of these signals need to work together consistently.
Letting AI Write Your Expertise
Business owners and marketing directors make this mistake with good intentions, but it’s still a mistake.
“AI can tell the difference between an employee describing something they’ve actually worked through and a page repeating what’s already on the internet,” says Melissa Weirick, Social Media Specialist at Federated Digital Solutions. “AI companies, like Anthropic, are starting to watermark their own output so it can be traced back to them, so there’s less and less room to pass it off as your own work.”
AI Location Concierge Can Help Your Business Get Recommended By AI Platforms
The legwork behind AI recommendations is a lot to handle on top of the business you’re running on a day-to-day basis. That’s why many business owners fall behind. To help, Federated Digital Solutions offers an AI Location Concierge solution where we handle this entirely for our clients. It’s a true concierge service.
AI Location Concierge is part of our new Digital Essentials lineup, and it combines managed business listings across 100+ directories and review generation/response with 6 AI Answer Blogs per year (our question-and-answer style content). These blogs are written by real, human writers who understand what AI platforms look for and how they find it.
Beyond that, our AI Visibility reporting tool is also included, so you can see for yourself how your business appears across Perplexity, Gemini, and OpenAI instead of just making a guess.
How Fast Will I See Results?
Results don’t happen overnight, but once you start cleaning up your signals, you’ll typically see positive movement with AI visibility anywhere from 30-45 days. Results often build steadily as reviews accumulate and your content library gets bigger and bigger.
“Businesses don’t need all three signals perfect on day 1,” says Weirick, who leads the AI Location Concierge solution at FDS. “But they do need a plan that’s moving all three forward at the same time.”
Get Recommended, Not Just Found
AI does more than decide what businesses are worth mentioning. It decides which ones to vouch for. You can earn that valuable recommendation by keeping your business information consistent across all directories (many more than just Facebook and Google), building a base of recent reviews that you respond to, and publishing content that proves your expertise in your industry.
At FDS, we built AI Location Concierge to manage all three signals at once. This way, you can get the results you’re looking for without feeling overwhelmed as you try to piece together the signals without help. Reach out today to learn where your business stands regarding AI recommendations, and let’s chat about how we can improve your strategy.