One of the biggest mistakes businesses make when measuring AI search visibility is tracking the wrong prompts. It is easy to build a long list of questions around your products or services, but that does not necessarily mean those prompts reflect how potential customers actually use tools like ChatGPT, Gemini or Perplexity.
The prompts you track should represent the questions people are likely to ask when they are researching, comparing or choosing a provider. If your tracking set is built around questions with little commercial relevance, you can end up with an impressive-looking visibility score that says very little about whether AI search is actually helping people discover your business.
Focus on Commercial Intent
A prompt like “What is CRM software?” might be relevant to your market, but it probably tells you very little about whether your brand is visible to potential customers who are close to making a decision.
Compare that with “What are the best CRM platforms for small businesses?” or “What are the best alternatives to HubSpot?”. These prompts are much closer to a buying decision because the user is actively asking an AI platform to help narrow down their options.
That makes the results far more useful. If your competitors are consistently included and your brand is missing, you have identified a meaningful visibility gap rather than simply finding that your brand was not mentioned in an informational answer.
A simple test is: Would we care if a potential customer asked this question and our brand was missing from the answer? If the answer is yes, it is probably worth tracking.
Track the Main Types of Buying Prompts
A good prompt set should normally cover several different stages of the buying process rather than relying on one type of question.
Discovery prompts show whether AI platforms recommend your brand when someone does not already know you. Examples could include “best payroll software for small businesses”, “best digital marketing agencies in the UK” or “best boiler installation companies”. These are valuable because the AI platform is effectively creating a shortlist for the user.
Comparison prompts show how your brand performs against competitors and whether AI systems understand where you fit within the market. This could include prompts such as “HubSpot vs Salesforce”, “best alternatives to Mailchimp” or “which is better, Brand A or Brand B?”. If a competitor is repeatedly being recommended instead of you, that gives you something specific to investigate.
Use-case prompts help you understand whether AI connects your brand with particular customer needs. Questions such as “best CRM for a 20-person sales team”, “best accounting software for ecommerce businesses” or “best project management tool for remote teams” are often especially useful because AI search tends to be more detailed and conversational than traditional search.
Focus on Recommendation Prompts
Some of the most useful prompts to track are those where the user is asking AI to create a shortlist. These often include words such as “best”, “top”, “recommended”, “leading”, “alternatives” or phrases such as “which should I choose?”.
For example, if someone asks “What are the best email marketing platforms for ecommerce businesses?”, the answer may include four or five providers. If your competitors appear consistently and your brand does not, that is a much more commercially important finding than being absent from a broad informational answer.
This is also one of the main differences between traditional search and AI search. With Google rankings, businesses have historically focused heavily on exactly where they rank. With AI answers, the first question is often more fundamental: did your brand make the shortlist at all?
Cover Your Important Products and Services
Another mistake is relying on a handful of very broad prompts and assuming they represent the whole business.
Imagine a running brand tracking only “What are the best running clothing brands?”. That is useful, but customers may also ask AI about much more specific categories, such as the best running jackets, waterproof running gear, winter running clothing or running shorts.
A brand could be highly visible for one category and almost completely absent for another. If you only monitor the broad brand-level prompt, you would never see that difference.
Your prompt set should therefore reflect the products and services that matter most commercially. If one product category drives a large proportion of revenue, or is an area where the business wants to grow, it should be represented properly in your tracking.
Include Your Key Customer Types
AI searches can be far more detailed than traditional keywords. Someone might search Google for “accounting software”, but ask ChatGPT “What is the best accounting software for a small UK ecommerce business?”.
Those two queries are closely related, but the second contains much more information about who the customer is and what they need. That additional context can completely change which brands the AI recommends.
If certain audiences are particularly important to your business, build some of those characteristics into your prompts. This could include company size, industry, location, budget, use case or particular feature requirements.
You do not need to create every possible combination. The aim is to represent the customer groups that actually matter to your business rather than generating hundreds of artificial variations.
Don’t Track Every Variation of the Same Question
The same underlying question can be phrased in dozens of ways. “What is the best CRM?”, “Which CRM is best?”, “What are the top CRM platforms?” and “Which CRM would you recommend?” are all slightly different prompts, but they largely represent the same intent.
Tracking every version can make your dataset unnecessarily noisy and can distort your overall visibility scores. If five near-identical prompts all focus on CRM recommendations while another important product category has only one prompt, your results become heavily weighted towards CRM.
Instead, think in terms of prompt themes or intent groups. Choose one or two representative questions for each important topic rather than trying to track every sentence somebody could possibly type.
Separate Generic and Branded Prompts
It is also useful to distinguish between generic discovery prompts and questions that already contain your brand.
A generic prompt such as “What are the best payroll platforms for small businesses?” measures whether AI platforms are helping new customers discover you.
A branded prompt such as “Is [Brand] a good payroll provider?” measures something different. It tells you how AI platforms understand and describe your company once somebody already knows your name.
Both are worth tracking, but they should not necessarily be treated as the same thing. A business can perform extremely well for branded questions while being almost invisible from generic recommendation prompts. If you combine the two into one overall score, that difference can easily be hidden.
Keep Your Core Prompt Set Consistent
Once you have selected the prompts that matter, avoid changing them too frequently. AI-generated answers naturally fluctuate over time, so consistency is important if you want to understand whether your visibility is genuinely improving.
Keeping a stable core prompt set allows you to compare performance month to month and see where your brand is gaining or losing visibility. You can still add new prompts when products, markets, competitors or customer behaviour change, but the core tracking set should remain relatively consistent.
Otherwise, you risk comparing two different datasets and treating the difference as a change in AI visibility.
Why Prompt Selection Matters
Your entire AI visibility strategy depends on the prompts underneath it. Metrics such as mentions, citations, share of voice and competitor visibility may look precise, but they are only useful if the questions being tracked are commercially meaningful.
Tracking 500 loosely relevant prompts is not automatically better than tracking 50 carefully chosen ones. In many cases, the smaller and better-focused set will give you much clearer insight into where your brand is being recommended and where competitors are taking the visibility instead.
Ultimately, the goal of AI search tracking should be to answer one simple question:
When potential customers ask AI for recommendations about the products or services we provide, does our brand make the shortlist?
Choosing the right prompts is what makes that answer meaningful.
