To get recommended by AI tools like OpenAI's ChatGPT and Anthropic's Claude, a business has to do more than be findable. It needs to make clear who it is best for, so the assistant can match it to the buyer asking. A recent Social Media Examiner article sets out a four-step framework for this. The framework covers the website, the Google Business Profile and customer reviews, so that AI search can pair a business with the right customers.
- Topic: how businesses can get recommended, not just found, by AI tools such as ChatGPT and Claude (Social Media Examiner).
- Approach: a four-step framework for getting recommended by AI tools (Social Media Examiner).
- Assets in focus: the business website, Google Business Profile and customer reviews (Social Media Examiner).
- Goal: help AI search match a business with the right buyers (Social Media Examiner).
Why being found by AI isn't the same as being recommended
Traditional search gave businesses a list position. Rank fifth and some users would still scroll down and click. Conversational AI tends to work differently. A user describes a situation, such as "a physiotherapist near me who works with runners and takes evening appointments", and the assistant usually returns a short set of suggestions with reasons attached.
That changes the competition. Being one of many indexed results is not enough. The assistant has to be confident a business fits a particular need, and it needs evidence to explain why. A business that describes itself in generic terms ("quality service, experienced team, customer-focused") gives the model nothing to match against. It may exist in the data and still never be suggested.
This is the core idea behind the Social Media Examiner framing. Visibility is the minimum requirement. Fit is what produces the recommendation.
How to get recommended by AI: what to fix first
The source article sets out its own four steps. Whizsky's analysis below applies the same principle, matching rather than ranking, to the three assets it highlights.
1. Rewrite your website for specificity
AI systems work out a business's purpose from the language it uses about itself. Pages should say plainly who the business serves, which problems it solves, where it operates and what makes it a good choice for particular situations. Useful changes include:
- Add dedicated pages for each core service or customer segment, not one catch-all services page.
- Use the words customers actually use. If buyers say "same-day boiler repair," don't call it "rapid-response heating solutions."
- Answer qualifying questions directly: price ranges, eligibility, turnaround times, who the service is not for.
- Keep the business name, address, hours and contact details identical everywhere they appear.
2. Treat Google Business Profile as structured evidence
For local businesses, Google Business Profile is one of the cleanest structured descriptions available. Categories, services, attributes, business descriptions, photos and Q&A all tell any system reading them what the business does. Many profiles are set up once and then left alone. Choosing the most accurate primary category, listing services in detail and keeping hours current costs little and makes the business easier to match.
3. Shape reviews toward detail, not just stars
A review that says "Great service, 5 stars" confirms that people are satisfied. A review that says "They fixed our commercial kitchen fridge on a Sunday and explained the warranty clearly" confirms what the business is good at, and for whom. Businesses can't script reviews, and shouldn't. They can ask better questions when requesting one, for example: "What problem did we help you solve?" Replying to reviews in specific language also adds useful context.
Comparing traditional SEO and AI recommendation readiness
| Factor | Traditional search focus | AI recommendation focus |
|---|---|---|
| Main goal | Rank for keywords | Be the best match for a described need |
| Website copy | Keyword coverage | Clear statements of who you serve and why |
| Google Business Profile | Map pack visibility | Structured proof of services and attributes |
| Reviews | Star rating and volume | Descriptive detail about use cases and outcomes |
| Success signal | Clicks and impressions | Being named, with reasons, in AI answers |
The two approaches are not opposed. Good SEO practice, such as accurate business information, useful pages and genuine reviews, still underpins AI visibility. The difference is emphasis. AI recommendation rewards positioning that is narrow and clearly explained.
Why niche positioning wins in AI search
One consequence gets less attention than it should. Trying to appeal to everyone becomes a liability. A generalist business competes with every other generalist for broad queries, but assistants are mostly answering narrow ones. A business that has clearly chosen its customers, such as a bakery known for gluten-free celebration cakes or an accountant who specialises in freelancers, gives AI systems a clear reason to name it.
The same discipline applies to companies at any stage. Whizsky has written before about essentialism lessons for focused Indian founders, and the case for doing fewer things well now applies to marketing in AI search too. Larger companies are also rebuilding around this shift, as covered in Whizsky's look at why Indian unicorn founders are going AI native.
How to check whether AI tools recommend your business
There is no standard dashboard yet for AI recommendations, but businesses can run practical checks:
- Prompt like a customer. Ask ChatGPT, Claude and other assistants the questions real buyers ask, including location, budget and situation.
- Record who gets named and why. Note the reasons the assistant gives for competitors. They show which evidence is being used.
- Look for mismatches. If your business appears for the wrong use case, or not at all, check your website, profile and reviews for unclear or conflicting language.
- Repeat on a schedule. AI answers vary between sessions and model updates, so track patterns over time rather than single results.
Key Takeaways
- Being found by AI is the minimum. Being recommended depends on a clear match between a business and a buyer's stated need.
- Website copy should state who the business serves, what it solves and where, in the language customers use.
- Google Business Profile works as structured evidence. Keep categories, services and attributes complete and current.
- Descriptive reviews matter more than generic praise. Ask customers what problem was solved.
- Specialisation is an advantage in conversational search. Test regularly by prompting AI tools the way customers do.
Frequently Asked Questions
What does it mean to get recommended by AI rather than just found?
Being found means a business exists in the information an AI tool can draw on. Being recommended means the assistant actively names that business as a good fit for a user's specific request. Recommendation depends on clear, consistent evidence of who the business serves and why.
Which assets matter most for AI recommendations?
Social Media Examiner's framework focuses on the business website, Google Business Profile and customer reviews. Together these tell AI tools what a business does, where it operates and what customers say about it. Consistent, specific language across all three makes matching easier.
How can a business encourage more useful reviews for AI search?
Ask customers to describe the problem the business solved and the situation they were in, rather than only asking for a star rating. Detailed reviews show AI tools specific use cases. Businesses should never fake or script reviews.
How can I check whether ChatGPT or Claude recommends my business?
Prompt the assistants with the realistic questions your customers would ask, including location and specific needs, and note which businesses are named and why. Repeat these checks over time, because AI answers can change between sessions and updates.
