Why Does ChatGPT or Google AI Recommend My Competitors Instead of My Business?

For years, local business visibility was largely about appearing in Google search results or on Google Maps. A customer looking for a plumber, accountant, counsellor or builder would search for a service, look through the results, visit a few websites and decide whom to contact.

That process still happens. Traditional Google search and local SEO remain enormously important. But customers can now ask ChatGPT, Google AI Mode and other AI-powered systems much more detailed questions.

Instead of typing “builder Somerset”, someone might ask:

“I’m looking for an experienced builder near Glastonbury who understands traditional stone buildings and can repair an old property. Who would you recommend?”

The AI system may interpret the customer’s requirements, draw on available information and suggest a smaller selection of businesses. Somewhere in that process, your business might be included, overlooked or described in a way that doesn’t accurately reflect what you do.

Does AI understand your business well enough to recommend it when the right customer comes looking?

The first thing to understand is that AI recommendations are not simply another version of a traditional Google ranking. Search engines still use ranking systems, and AI-powered search can rely heavily on conventional search results. But AI-generated answers also attempt to interpret the customer’s wider requirements and present information that addresses their situation.

That may include their location, the service they need, their particular circumstances, their budget, and the information available about suitable businesses.

Consider two local counsellors. Both might be experienced, professionally qualified and capable of providing an excellent service.

However, one has a website that simply says: “Professional counselling services in Somerset.”

The other clearly explains the types of clients they work with, their approach to counselling, their specialist areas, their location, online availability, professional credentials and how to arrange an initial consultation.

When someone asks AI for a counsellor suited to a particular need, the second business provides more relevant information that can be used to assess suitability. That doesn’t guarantee the second counsellor will be recommended. But it illustrates why the clarity and availability of information about your business matter.

Existence Visibility versus Decision Visibility

At Magnum Opus Studio, we make an important distinction between two types of visibility.

Existence Visibility means an AI system can identify your business. It may know your name, location, website and general services.

Decision Visibility means your business is presented as a relevant option when somebody is actively deciding whom to contact.

These are not the same thing. You might ask ChatGPT about your business by name and receive an accurate description. That shows the system has access to useful information about you. But if a customer asks for recommendations in your area, you may be completely absent.

Or perhaps AI mentions your business without explaining why it would be a suitable choice. That’s the difference between being known and being considered.

Our guiding principle is Match, Not Rank. Rather than concentrating exclusively on appearing first or being mentioned most often, we want to understand whether your business is a suitable match for the customer’s actual requirements. And if you are a good match but repeatedly fail to appear, we want to investigate why.

Which Services Would I Actually Like AI to Recommend My Business For?

Before trying to improve AI visibility, I believe there’s a more fundamental question every business owner should ask: What kind of work would I actually like more of?

This might seem obvious, but it is surprisingly easy to spend money on marketing without properly considering what success would look like.

Many independent local businesses provide a range of services. A builder might undertake general repairs, extensions, renovations and heritage restoration. An accountant might work with sole traders, small limited companies, property owners and ecommerce businesses. A counsellor might provide general counselling alongside specialist support for particular clients or circumstances.

But those services are not necessarily equally attractive to the person running the business. Some work might be more enjoyable. Some might generate better profit margins. Some clients may be easier to work with or more closely aligned with the business owner’s experience and values.

Some services might have considerable potential for growth, while others are already at capacity.

I spent more than twenty years building and running an ecommerce business. One of the most useful commercial lessons I learned was that not all sales are equally valuable.

Revenue matters, but so do margin, workload, customer suitability and the direction in which you actually want your business to develop. There’s little point attracting twice as many enquiries if most are for work you don’t enjoy, cannot accommodate or struggle to make profitable.

The same principle applies to AI search.

Start with the business, not the search engine

At Magnum Opus Studio, we begin by looking at the business as a whole. We want to understand which services you provide, which are most profitable, which you particularly enjoy and which you would genuinely like to develop.

We also consider your capacity, experience and competitive strengths. Only then does it make sense to identify the customer questions that could lead to those opportunities.

For example, our hypothetical builder might decide that heritage property restoration is the most rewarding and commercially valuable part of the business. In that case, improving AI recommendations for heritage restoration could be much more useful than simply trying to appear for every general building enquiry in Somerset.

The objective is not to attract every possible customer. It is to attract more of the right customers.

Which Customer Questions Represent the Best Opportunities for My Business?

When somebody asks ChatGPT or Google AI for a recommendation, they don’t necessarily use the keywords that appear on a business website. They might describe a problem, a particular situation or the qualities they’re looking for in a service provider.

For example: “Can you recommend a reliable accountant in Somerset?”

Or: “I run a small ecommerce business selling through Amazon and Shopify. I need an accountant who understands online marketplaces, VAT and stock accounting. Who could help me?”

Both questions concern accounting services. But they represent different customer requirements and potentially very different commercial opportunities.

The second question contains much more information about the customer’s situation. It allows an AI system to look for businesses whose published services, experience and supporting evidence appear relevant to those requirements.

Treat customer questions as commercial opportunities

In AI visibility testing, these questions are often called prompts. A prompt is simply the question or instruction somebody gives an AI system.

Most AI visibility reporting approaches monitor prompts to see whether a business appears, how often it is mentioned and which competitors are recommended. Those are useful measurements.

But at Magnum Opus Studio, we want to go further. We treat selected customer prompts as potential commercial targets.

That means considering the business opportunity represented by the question, not merely whether the business appears in the answer.

We ask whether the customer is looking for a service the business genuinely offers, whether that work is attractive commercially, whether the business has the expertise to deliver it and whether there is capacity to take on more customers.

We also consider whether there is evidence of genuine market demand. A plausible question is not proof that customers are asking it frequently.

This helps avoid an expensive mistake: trying to improve visibility for every possible search simply because a competitor appears and you don’t.

Not every missing recommendation is a lost opportunity

Imagine our accountant is absent from AI recommendations for three different customer questions. One concerns complex multinational tax planning, outside the accountant’s expertise. Another concerns a basic service that produces very little margin.

The third concerns ongoing accounting support for growing ecommerce businesses, an area in which the accountant has considerable experience and would welcome additional clients.

A conventional visibility report might simply show three missed recommendations. Our approach would identify the third as the potentially valuable opportunity worth investigating.

The next step is to refine that customer question, understand the competitive landscape and examine the evidence available to AI systems.

This is what we mean by Commercial Prompt Targeting.

We maintain a consistent set of baseline visibility tests, then investigate commercially valuable opportunities in greater detail without changing the original measurements to make the results appear better.

We’re not trying to manufacture a higher visibility score. We’re trying to find the customer decisions that matter most to the business.

What Can I Learn from the Local Competitors AI Is Already Recommending?

Once we’ve identified a valuable customer question, we can investigate what happens when AI answers it.

Suppose our hypothetical builder wants more heritage restoration projects. We might investigate a question such as: “Who can repair and restore traditional stone buildings near Wells and Glastonbury?”

The first task is to record which businesses appear. Do they offer comparable services? Are they genuinely local? Are they specialists, or general builders being recommended for a particular requirement?

We also examine what the AI actually says. Does it describe a competitor as experienced in heritage restoration? Does it mention specific services, professional credentials or examples of previous work? Is the information accurate?

And what sources are visibly supporting the answer?

Following the information behind the recommendation

AI search systems may draw on information from several places. These can include business websites, relevant service pages, Google Business Profiles, professional directories, review platforms, published articles and other accessible sources.

We call the investigation of these sources AI Source Path Research. The objective is to identify what information is available about competing businesses and what might explain differences in how they are represented.

For example, a competing builder might have a dedicated heritage restoration service page, photographs of completed projects, relevant qualifications and independently published information about their work.

Our builder may have comparable experience but only mention heritage restoration briefly on a general services page. The business capability is there. The publicly available evidence is much weaker.

That is a potential Evidence Gap.

Other gaps might involve unclear service areas, missing pricing information, incomplete professional profiles, inconsistent business details or a lack of convincing examples of specialist work.

A visible citation tells us something about the sources displayed with an AI answer. It does not necessarily reveal every internal step that produced the recommendation, so we should not assume a particular directory or webpage caused a business to appear.

Instead, we look for recurring patterns across relevant questions and repeated tests.

Close genuine Evidence Gaps, not imaginary ones

The next step isn’t automatically to publish another article or create more directory listings. It is to identify what information is genuinely missing and decide how best to make that information available.

Our heritage builder might benefit from a clearer specialist service page supported by genuine project examples and relevant external corroboration. Another business might need to correct conflicting information between its website and Google Business Profile.

A third might already have excellent information online and simply be facing stronger competitors, geographic limitations or differences between AI systems.

The important point is that we investigate before prescribing a solution.

We don’t create content simply because a prompt performed badly. We improve the evidence where a worthwhile opportunity justifies it.

What Can I Improve Now, and How Will I Know Whether It’s Working?

There are several practical improvements that can help local businesses become easier to understand and assess across traditional search and AI-powered systems. The right starting point depends on what is already working and where the most important gaps exist.

Make your services unmistakably clear

Your website should explain what you do, whom you help, where you operate and what makes your services suitable for particular customer needs. Important specialisms deserve clear explanations rather than a brief mention hidden inside a general paragraph.

Strengthen your Google Business Profile and local foundations

Check that your business categories, services, contact details, location and service areas are accurate. Keep your website and relevant directory profiles consistent.

Strong local SEO foundations remain important. Google explicitly advises website owners that established SEO best practices continue to apply to AI Overviews and AI Mode.

Make trustworthy evidence accessible

Useful evidence might include relevant qualifications, professional memberships, authentic reviews, case studies, project examples, clear pricing guidance and explanations of how your service works.

Reviews should reflect genuine customer experiences, not manufactured claims or carefully scripted keywords. Where appropriate, ensure reputable external profiles confirm important facts about your business.

Technical accessibility also matters. Search systems must be able to access relevant information, although meeting technical requirements does not guarantee inclusion.

Test the right questions consistently

Start with a manageable selection of questions that genuine customers might ask. Record the date, AI platform, exact question, businesses recommended, wording used and visible sources.

Repeat your tests under reasonably consistent conditions. AI responses can vary between platforms, sessions and dates, so a single screenshot is not reliable evidence of a lasting change.

If you discover a particularly valuable missing recommendation, investigate that opportunity separately while preserving your original baseline.

Measure recommendations alongside real business outcomes

At Magnum Opus Studio, we believe AI visibility reporting should distinguish three things.

Visibility: Is your business being mentioned or recommended for relevant customer questions? Is AI describing it accurately?

Improvement work: What have we changed? Which information gaps have we addressed? Which sources or business profiles have been strengthened?

Commercial outcomes: Are you receiving more enquiries, better-suited customers, consultations or bookings? Is the work contributing to the kind of business you want to build?

Website analytics and Search Console can provide useful evidence, but they cannot always establish whether an AI answer influenced a customer’s decision.

Someone might see a business recommended, then telephone directly or search for its name later. That’s why it’s worth asking new enquiries how they discovered your business, while recognising that customer recollections and changes in enquiry volume do not prove an individual AI recommendation caused a sale.

The aim is to make better commercial decisions from the available evidence, not to pretend everything can be measured perfectly.

Why taking action now could create a long-term advantage

AI-assisted search is still evolving, but the underlying work of building an accurate, trustworthy digital presence has lasting value. Clear service information, useful website content, authentic reviews, credible professional profiles and strong local search foundations are assets that can become more valuable as they develop.

They support human customers and conventional Google search as well as AI systems.

Starting now also gives you something valuable: experience. You can establish how your business currently appears, begin identifying worthwhile customer opportunities and learn which improvements are associated with better results.

Over time, that understanding can inform where you invest your marketing effort and which services you choose to promote.

There is no guarantee that starting early will secure a permanent advantage. AI systems, competitors and customer behaviour will continue to change.

But improving the clarity and credibility of your business today can put you in a better position to adapt tomorrow. For independent local service businesses, that is a sensible investment in the future, provided it remains focused on genuine commercial opportunities.

For technical guidance, see Google Search Central: AI features and your website.