Which prompts to track for AI visibility

How to build an AI visibility prompt set from real buyer questions, how many prompts to start with, and why branded prompts belong on their own line.

By the advisible teamLast updated 11 October 20266 min read
Key takeaways
  • Build the list from questions buyers already ask, in their own words: category, use-case, comparison, alternatives, branded and objection-shaped.
  • Start with 15 to 25 prompts spread across funnel stages; setup wizard suggestions are a first draft, not an answer.
  • Report branded prompts on their own line. Stack them into the main set and they carry your Visibility while the prompts that reach new buyers sit flat.
  • Add a prompt only when a buyer has asked something like it and the answer would change what you do.

Start from questions your buyers already asked

Your prompt list should sound like a transcript of buyer conversations. A prompt nobody has ever asked in some form is trivia with a label on it.

The raw material is already inside the company. Call recordings where a prospect asks how you compare. Support tickets phrasing the same complaint three different ways. The search box on your own site, and the threads where your category gets argued about. People write AI prompts the way they would ask a friend, longer and more sceptical than a search query: “what are the downsides of switching CRM mid-year, and will we lose our dashboards”.

Example
Invented example: on a discovery call a security lead asks “does this work if we already run Okta for SSO?”. That sentence, lightly cleaned up, is a prompt. Sixty answers later you know what AI says about your integration before the prospect books the second call.

Write prompts in the buyer's phrasing. “Best enterprise CRM platform 2026” is how a page title is written, not how a person asks for help.

Six shapes of prompt worth tracking

Category, use-case, comparison, alternatives, branded and objection-shaped prompts cover what buyers ask before they know you, while they shortlist, and after they have your name in mind.

  • Category. “What is the best help desk software for a 20-person team”. Answers whether AI puts you in the set at all.
  • Use-case. “How to cut churn emails without a data team”. Shows you doing the specific job, which is where most buying starts.
  • Comparison. “Zendesk vs Freshdesk for a small support team”. Reveals who else makes the list and in what order.
  • Alternatives. “Cheaper alternatives to Intercom”. A switcher's prompt. Missing here means missing from a conversation you will never hear.
  • Branded. “Is Northwind CRM worth it”. What AI tells someone who already knows your name.
  • Objection-shaped. “What goes wrong when you switch CRM mid-year”. Surfaces the doubts AI repeats back to buyers on your behalf.

Six shapes is a frame, not a quota. If your category has one obvious vendor and nobody asks comparison prompts, drop that shape rather than padding it. What should not change is that every prompt traces back to something a person asked.

How many prompts to start with

Start with 15 to 25 prompts spread across the funnel. Below 15 each metric rests on too few answers to move, and past 25 the list becomes a job of its own, which is when people quietly stop maintaining it.

Funnel stagePrompts in a 20-prompt setWhat it tells you
Problem aware7 (category, use-case)Whether AI puts you in the category at all
Shortlisting6 (comparison, alternatives)Who you get weighed against, and in what order
Checking you out4 (objection-shaped)Which doubts AI repeats about you
Brand already known3 (branded)What AI tells someone who has your name in mind

Weight the set toward the stages before anyone knows you. That is where a mention changes a shortlist, and it is the harder state to reach. A set made mostly of branded prompts measures a question your marketing already answers.

The setup wizard in advisible suggests prompts when a workspace is new. Treat them as a first draft: they describe the category in generic language, and the edit that matters is rewriting them in your buyers' words.

Keep branded prompts on their own line

Branded prompts mostly measure whether AI has read your site, so report them separately. Stack them into the main set and they will carry your Visibility while the prompts that reach new buyers sit flat.

This is the most common way a prompt set goes wrong. A team lists 25 prompts, 12 of them start with the brand name, the dashboard shows a comfortable Visibility figure, and everyone stops looking. The branded prompts were never in doubt: the engines have read the site, the docs, the review pages. They answer a different question, namely what AI tells someone who already knows you, and that question is worth its own row in the report.

Example
Invented example: a set of 25 prompts, 12 of them branded. Blended Visibility reads 68% based on 640 answers. On the 13 unbranded prompts alone it reads 17% based on 336 answers. The first number wins the quarter; the second is the one that predicts pipeline.

One detail sharpens the distortion: in advisible, prompts you mark as more important count for more in Visibility. Giving branded prompts extra weight on top of their numbers double-counts the tilt, so keep their weight plain and read them as their own segment.

A decision rule for adding a prompt

Add a prompt when a buyer has asked something like it and the answer would change what you do. Both conditions, or it stays out of the list.

  1. A person asked something like it. Quoting a call or a ticket beats inventing a clever variant nobody types.
  2. The answer would change an action. If a bad result would not move a roadmap, a page or a phone call, the prompt is decoration.
  3. It is not a near-duplicate. Two prompts that always produce the same answer are one prompt with extra maintenance.
  4. You can name its funnel stage. If you cannot say which buyer moment it represents, you will not know what to do with the result.

Prune the list each quarter: drop prompts nobody acted on, add the questions sales heard last month. Keep the set stable inside a reporting window, because changing the sample mid-month makes the trend line a comparison of two different experiments. For the same reason, a fresh prompt has no number worth reading yet, which is the subject of how many answers a number needs.

Common questions

Should I track prompts we already rank for?

Yes, but in their own segment. Winning prompts you already own tells you about maintenance; the prompts that predict pipeline are the ones where you are not yet mentioned.

How often should the prompt list change?

Rarely, and in batches with a date attached. Adding or dropping prompts mid-window changes the sample, so comparisons across that date are misleading.

What about prompts that name a competitor?

Keep them. Comparison and alternatives prompts are where AI picks an order, and being absent from a rival's prompt tells you more than being first in your own.

Do I need a different prompt list for each AI engine?

No. Ask the same prompts everywhere, because the answers differ by engine and the comparison only works when the question is identical.

How should a branded prompt be phrased?

Like a person checking you out: “is Northwind CRM worth it”, “Northwind CRM pricing”, “Northwind CRM vs Cobalt”. Natural phrasing, the words a buyer would use.

Related guides

Track this for your own brand

advisible runs your prompts on ChatGPT, Perplexity, Gemini, Grok and Claude every day, and every number shows how many answers it is based on.