Is 20 the Right Number of Prompts to Track for AI Visibility?

Does the number of prompts matter as much as people think?

Less than the choice of prompts. When SparkToro asked people to phrase the same buying need in their own words, the phrasings varied enormously but the leading brands stayed much the same; when the need itself changed, the brand lists changed completely. Our page on what 20 questions across five engines cannot tell you covers the statistical limits.

The lesson for tracking is that you do not need many phrasings of one need; you need the right set of needs. Twenty questions covering the buying situations that matter to your business tell you more than a hundred variations of three of them.

What can 20 questions show, and what can they not?

How should you choose your 20?

Start from how buyers ask, not from your keyword list. One way to build the set:

1. By need: the main problems customers come to you to solve, in their words.
2. By customer type: company size, role or household situation, if those change who gets recommended.
3. By constraint: budget, timing, integration, location or compliance requirements buyers add to the question.
4. By comparison: one or two "X vs Y" questions against the rivals you meet most, reported separately from the rest.

Then remove anything that contains your brand name or your own product names, because those questions make you look more visible than buyers would find you. Check the set against your sales calls, support questions and search data, and freeze it. Our guides on choosing the right prompts to track and keeping a golden prompt set fixed go further.

What might a good set look like?

For an illustrative bookkeeping firm serving small businesses, part of a set might read:

• "Bookkeeper for a small restaurant that uses Square"
• "Who can catch up on two years of unfiled bookkeeping?"
• "Outsourced bookkeeping for a 10-person construction company"
• "Bookkeeping service that works with Xero and payroll"
• "How much does monthly bookkeeping cost for a small business?"
• "Bookkeeper who also handles sales tax filings"
• "Best bookkeeping service for a new e-commerce store"
• "Online bookkeeping service vs a local bookkeeper"

Each line is a different buying situation, none contains the firm's name, and together they cover needs, customer types, constraints and one comparison of options.

What are the signs that your set is wrong?

• You win every question. The set is probably too narrow or too close to your own wording.
• Nobody wins any question. The questions may be too vague or too unusual for answers to name businesses at all.
• The same competitor appears everywhere and you nowhere. That may be real, but check that the set is not built around their positioning.
• Results swing wildly between readings. First check whether the swing is bigger than ordinary variation: with about 20 questions, moves of one or two questions (5 to 10 points) are usually noise. If the set is too small to settle that, add distinct questions; more runs of the same ones help less.

Why do repeated runs still matter?

AI answers vary. SparkToro's study of runs in late 2025 found less than a one-in-a-hundred chance of getting the same list of brands twice from ChatGPT or Google's AI for the same prompt. A single answer per question therefore tells you little; three runs per question on each engine show whether one question's result is typical. They do not replace distinct questions: runs of the same question resemble each other, so the size of an overall measure comes mainly from distinct questions and engines.

That is why the count of prompts and the count of answers are different things. Twenty questions on five engines with three runs each is up to 300 answers, enough to see patterns per question and per engine. A hundred prompts with one run each on one engine is also a hundred answers, but with no way to tell, for any single prompt, whether the result was typical.

When do you need more than 20?

• Broad categories. A software category with dozens of use cases, or a retailer with many departments, needs more questions to cover them.
• Several product lines. Give each line its own set rather than squeezing them into one.
• Several markets. Each country or language needs its own set and its own settings.
• Share-of-voice reporting. A stable share-of-voice figure across a category needs many prompts behind it.
• Prompt research. If you do not yet know which questions matter, a larger exploratory set, or a prompt database, helps you find them before you narrow down.

How does Kovmere use up to 20?

Kovmere asks up to 20 questions for one market: up to 18 buyer questions that do not name you and up to 2 brand checks reported separately. Each is asked three times on each of OpenAI, Perplexity, Google Gemini, Anthropic Claude and Google AI Overviews, with US settings, for up to 300 answers in a baseline. You can read the answers and see the pages they cite, with the 60 most-cited pages labelled by type and whether they mention you, and see whether you were mentioned, recommended or cited. On Pro, the same frozen questions are asked again in weeks two to four, and after the first baseline you can replace up to 5 per round; replaced questions start a fresh history and the rest keep theirs.

Its limits follow from the number: it does not cover a broad category's every sub-topic, more than one market per site, or share of voice across hundreds of prompts.

What do people ask about how many prompts to track?

Is 10 prompts enough?

For a very focused business with one or two buying situations, perhaps. Most businesses have more situations than ten questions can cover once comparisons are included.

Should every prompt be asked on every engine?

If your buyers use several engines, yes. Different engines often cite different sources, and a gap on one engine points to a different fix from a gap on all of them.

How often should the 20 be re-run?

A full reading each month with lighter weekly checks suits most businesses that are making changes. A business that is not changing anything may only need an occasional reading.

Can I change the questions later?

Yes, but change a few at a time and keep the rest fixed, so the trend on unchanged questions stays meaningful.