AI visibility prompts

Prompts to Track for AI Visibility: How to Choose Them

Not sure which prompts to track for AI visibility? Build a prompt set from real buyer questions, cover the funnel, and get data you can act on.

The best prompts to track for AI visibility are the questions your buyers actually ask an assistant before they buy: category discovery, use-case, comparison and problem-led questions, written in their words and mostly unbranded. Start with 10 to 30 prompts, keep the wording fixed, and tag each one by intent and segment.

Your AI visibility data is only as good as the questions behind it. Track the wrong prompts and you get a flattering number that has nothing to do with how buyers find you. Track too many and you drown in noise. Deciding which prompts to track is the most important choice in an AI visibility program, and it often gets the least attention.

This guide covers how to pick prompts that reflect real demand, how to structure them, and how to keep the set useful over time.

Why prompt choice matters so much

A keyword in classic SEO is short and stable. A prompt is a full question with context, and small changes in wording can change the answer. “Best CRM” and “best CRM for a five-person agency that already uses Gmail” can produce completely different shortlists.

That cuts both ways. You can target specific segments precisely, but a poorly chosen prompt set can also misrepresent your position. If every prompt you track happens to match your strongest use case, your share of voice will look great and tell you nothing.

Where to find prompts to track for AI visibility

Do not invent prompts in a brainstorm. Pull them from evidence.

  • Sales call notes and recordings. Listen for the first question prospects ask and how they describe their problem.
  • Support tickets and onboarding chats. These show the language customers use once they have bought.
  • Search Console queries. Long, question-shaped queries are often close to how people phrase prompts.
  • Community threads. Reddit, Slack groups and forums in your space show unfiltered questions, often with very specific constraints.
  • Review sites. Look at what reviewers say they were looking for when they chose a tool.
  • Your own team. Ask customer-facing staff for the five questions they hear every week.

Write down the questions in the buyer’s words, including constraints like team size, budget, industry or existing tools.

The four types of prompts to track for AI visibility

A balanced set covers different stages of the buying journey. Using a CRM as the illustrative example:

1. Category discovery

Broad questions where the buyer has not picked a shortlist yet.

  • “What is the best CRM for small businesses?”
  • “Which CRM tools are easiest to set up?”

2. Use case and segment

Questions with constraints that match your ideal customer profile.

  • “Best CRM for a B2B startup with a two-person sales team”
  • “CRM that integrates with Gmail and has a free plan”

3. Comparison and alternatives

Questions where the buyer is choosing between named options.

  • “HubSpot vs Pipedrive for a small agency”
  • “Alternatives to Salesforce for startups”

4. Problem-led

Questions that start from a pain, not a product category.

  • “How do I stop leads falling through the cracks?”
  • “How can I track sales pipeline without spreadsheets?”

Problem-led prompts are often overlooked. They are where an assistant decides whether to recommend a tool at all, and which one.

Branded vs. unbranded prompts

Branded prompts (“Is HubSpot good for startups?”) tell you how the assistant describes you: accuracy, pricing, strengths and weaknesses. They are useful for reputation checks.

Unbranded prompts tell you whether you get discovered. Since the brand is not in the question, any mention is earned. For share of voice, unbranded prompts are the ones that count. A reasonable starting point is mostly unbranded prompts with a smaller group of branded and comparison prompts, adjusted to your priorities.

For more on how mentions roll up into a single metric, see AI share of voice.

A process to build your first prompt set

  1. List your segments. Two to four ideal customer profiles, such as “startups”, “agencies” and “mid-market sales teams”.
  2. Collect raw questions. Gather 50 or more from the sources above.
  3. Group by intent. Sort them into discovery, use case, comparison and problem-led.
  4. Remove duplicates. If two questions would get the same answer, keep the one closer to buyer language.
  5. Pick the top 10 to 30. Prioritize by revenue relevance, not by how likely you are to win.
  6. Write them naturally. No keyword stuffing, no brand name unless it belongs there.
  7. Tag each prompt. Record segment, intent and priority in a reference sheet. You will thank yourself when reading reports.
  8. Run a baseline. Ask every prompt across the assistants you track and save the full answers.
  9. Freeze the wording. Any rewrite starts a new series.

How to test your AI visibility prompts with Citegram

Before committing to a full set, check that a prompt produces useful data by running it a few times across assistants. In Citegram, the workflow looks like this:

  1. Add one high-priority prompt. Pick the unbranded question closest to revenue. The free plan covers exactly one prompt, which is enough to test the approach.
  2. Run it in the real apps. The Chrome extension asks the prompt in ChatGPT, Gemini, Perplexity, Claude, DeepSeek, Grok and Google AI Overviews, in background tabs, using the accounts already signed in to your browser.
  3. Read the answers and sources. Check whether your brand is mentioned and where, which competitors appear, and which sources are cited in rank order.
  4. Look at the ChatGPT searches. The web searches ChatGPT ran for the prompt often suggest sharper wording or related prompts worth adding.
  5. Repeat and compare. Re-run the prompt over several days. If results are stable enough to show a trend, keep it. Then add the rest of your set on Pro, which allows unlimited prompts.

Common mistakes when choosing prompts to track for AI visibility

  • Only tracking prompts you already win. You need the uncomfortable ones too.
  • Writing like a marketer. “Leading all-in-one revenue platform” is not how anyone asks a question.
  • Changing prompts every week. You lose the ability to compare over time.
  • Ignoring the searches behind the answer. For assistants that browse, the queries they run can differ from your prompt. Looking at them, as explained in our guide to query fan-out, often reveals better prompts and content gaps.
  • Tracking hundreds from day one. Start focused. Expand once you know what you will do with the data.

Prompt quality checklist

  • Phrased the way a buyer would actually ask
  • Linked to a segment you sell to
  • Tagged with intent and priority
  • Not leading the assistant toward your brand
  • Stable wording, saved as the reference version
  • Includes at least some prompts where you currently lose

Maintaining the set over time

Review the prompt set every quarter. Add prompts for new features, new segments or questions you start hearing in sales calls. Retire prompts that no longer matter, but keep their history so past reports still make sense.

Read results by group using your tags, and compare trends across repeated runs rather than reacting to one answer. Our guide on tracking brand mentions in AI explains how to run that review across assistants.

FAQ

What are good prompts to track for AI visibility?

Good prompts are real buyer questions that matter to revenue, phrased the way customers ask them. Cover category discovery, use-case, comparison and problem-led questions. Keep most of them unbranded so any mention of your brand is earned.

How many prompts should I track?

For many brands, 10 to 30 well-chosen prompts are enough to see meaningful patterns. Larger companies with many product lines or regions may need more, organized by tags. Quality and consistency matter more than volume.

Should I include my brand name in prompts?

Only in a minority of them. Branded prompts are useful for checking accuracy and comparisons, but they inflate share of voice if you count them alongside discovery prompts. Report branded and unbranded results separately.

How often should I change my prompts?

Rarely. Keep the core set stable so you can measure change over time. Add new prompts when your business changes, and treat a reworded prompt as a new series rather than a continuation.

Start with one prompt

The fastest way to learn what your prompt set should look like is to track one important question and watch how the answers change across assistants. You can do that on the free plan, which includes 1 prompt, and move to unlimited prompts on Pro when you are ready. Details are on the pricing page.

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