How Do You Choose the Right Prompts to Track for AI Visibility?

Where do the best prompt ideas come from?

The strongest prompts come from places where buyers speak in their own words:

Keyword tools are useful for demand, but their phrases are short and stripped of context. Sales and support sources supply the conditions that change AI answers most.

How do you score candidate prompts?

Collect more candidates than you need, usually 80–150, then score each from 1 to 3 on four questions:

1. Value: would winning this answer plausibly lead to revenue?
2. Evidence: do you have signs that buyers ask it, such as sales notes, tickets or search demand?
3. Fit: are you a genuinely good answer to it?
4. Openness: does the answer name providers at all? Purely informational questions often name no one.

Keep prompts that score high on value and evidence, and at least medium on fit and openness. A prompt you would never win because you do not fit it is not worth tracking; a prompt no answer ever names a provider for measures nothing.

How do you turn a keyword list into AI prompts?

A list of 100 keywords is a good starting point, as long as you do not paste keywords in as prompts. Convert them:

1. Group keywords by need. "Scheduling software restaurants", "restaurant staff rota app" and "shift planner for cafes" are one need.
2. Write one prompt per need as a buyer would ask it: "What's the best app for scheduling restaurant staff shifts?"
3. Add a condition from sales or support notes: "…for a restaurant with 25 part-time staff that needs to track tips?"
4. Add a variant for a different buyer type or situation where it matters, such as a chain versus a single site.
5. Drop keywords that are not questions a buyer asks an assistant, such as navigational brand searches and very short head terms with no clear need.

A simple template helps: "[What they want] for [who they are] that [key condition], [constraint]". For example: "What's the best CRM for a five-person recruitment agency that integrates with LinkedIn, under $50 a month?"

Most keyword lists collapse to 25–40 needs. Converting 100 keywords typically yields 30–50 prompts before scoring.

How do category entry points help you find the prompts that start a purchase?

Category entry points come from brand-growth research at the Ehrenberg-Bass Institute, popularised by Jenni Romaniuk. They are the situations and needs that make someone start looking in a category: why, when, where, for whom, with what, and with what feeling. Brands that are linked in buyers' minds with more of those situations get considered more often.

The same idea works well for AI prompts, sometimes called "category entry prompts". Instead of starting from your product, list the situations in which buyers begin their search, then write the question they would ask in each:

Prompts built this way tend to be the leading prompts in a category: the first questions buyers ask, before they know which brands to compare. Tracking them shows which competitors engines associate with each situation, where you are missing, and which situations no brand owns yet. Those unowned situations are often the easiest to win with a clear, specific page.

What prompts should an agency test for each client's ICP and buying committee role?

In B2B, several people research the same purchase, each with their own questions. For each client, define the ideal customer profile, then write prompts for each role:

Three to five prompts for each of the five roles, across the client's two or three core segments, gives roughly 30–75 prompts per client; trim to the roles that matter most if that is too many to run. Report results by role as well as overall. A client strong with end users but invisible to technical evaluators has a clear content and source gap. For running this across many clients, see how agencies track AI visibility across multiple clients.

How do you check that your prompts work before tracking them?

Run a short pilot before committing:

• Run each prompt three times in two engines. Drop or rewrite prompts whose answers name no providers, or name providers from a different market.
• Check the answers make sense for the question. A prompt that consistently gets misread, for example returning consumer apps for a B2B question, needs rewording.
• Look for near-duplicates: if two prompts produce almost identical answers every time, keep one.
• Balance the set across entry points, buyer roles and funnel stages, so no single theme dominates the average.

Then freeze the list, version it, and track it for at least four weeks before drawing conclusions. How tools handle fixed and generated prompt sets is covered in whether AI visibility tools monitor fixed prompts or generate them, and how often to track in whether to track AI visibility weekly or monthly.

What mistakes should you avoid when choosing prompts?

• Too many branded prompts. They almost always name you and inflate results.
• Only short, generic prompts. "Best CRM" is less useful than the questions buyers actually ask with conditions.
• Prompts written in your marketing language rather than buyers' words.
• Prompts you cannot win because you do not fit them.
• Changing the set every month, which makes trends meaningless.

What do people ask about choosing AI visibility prompts?

How many prompts should I track?

For one brand in one market, 20–40 core prompts usually cover the main needs. Agencies with several segments or roles per client may need 30–50.

Should prompts include my brand name?

A few, kept separate, to check accuracy and reputation. Most tracked prompts should leave your name out, because buyers early in their search do not know it yet.

Can I use AI to write my prompts?

It can help generate variations, but base every prompt on evidence of real buyer questions, and review each one before tracking.

How often should I update my prompt list?

Review it quarterly against new sales and support questions. Add or retire prompts at the start of a period and record each change.