The practical AI Visibility guide
Choose AI tracking prompts that reflect real buying decisions.
The questions you choose shape the result you get. Start with a small set of real buyer situations, keep the wording stable, and use the answers to prioritize useful content.
Put it into practice
Find the buying situation
Choose a customer decision before choosing a keyword.
A useful AI visibility tracking prompt describes a buyer, a task, and the constraint that changes the recommendation. Pull wording from sales calls, support tickets, onboarding questions, and lost-deal notes. Keep the detail that affects the choice: permissions, team size, integration, location, or workflow.
For client-approval software, “best software” is too broad to guide a page edit. “Which tools let clients approve designs without creating an account?” identifies a workflow you can explain and demonstrate. If account-free review is not a capability you offer, the answer may reveal poor product fit rather than a visibility problem.
Cover distinct needs
Use five questions that could produce different page tasks.
| Buyer question | What the answer tests | Page evidence to check |
|---|---|---|
| Which tools let agency clients approve designs without creating an account? | Access and approval workflow. | Explain review links, identity requirements, and sign-off records. |
| How can a five-person agency keep feedback attached to the correct design version? | Version control and context. | Show versions, comments, and how the approved version is identified. |
| Which approval tools work when several client stakeholders disagree? | Roles and decision ownership. | Explain reviewer permissions, rounds, and final approver responsibilities. |
| Which tools help an agency track outstanding client approvals across projects? | Coordination at team scale. | Show the actual overview and reminder workflow. |
| How can an agency keep a record of who approved the final design? | Accountability and records. | Document the fields recorded and the product’s limits. |
These are sample questions, not claims about every approval product. Keep a question only if the buying situation is relevant to your business. Separate an informational question from a product-selection question when you review the results; they may deserve different pages.
Make the test fair
Remove wording that tells the model to prefer you.
| Avoid | Use instead | Reason |
|---|---|---|
| Why is ExampleCo the best approval software? | Which tools help agencies record final client approvals? | The first prompt supplies the brand and the desired conclusion. |
| Recommend innovative, affordable, easy-to-use solutions. | Which tools let a small agency review designs with clients who do not have an account? | Specific constraints are more useful than marketing adjectives. |
| Name every tool and rank each feature, price, security policy, integration, and region. | Which approval tools support our required integration? | One decision is easier to interpret than a mixed request. |
| Five slightly different versions of “best approval tool.” | One core discovery question plus distinct workflow questions. | Near-duplicates can overweight a single need. |
Use plain customer wording. Do not hide your brand name in a product nickname or unique feature slogan inside an otherwise “unbranded” question. Treat a language or geographic change as a new test context rather than combining all answers into one unexplained average.
Connect prompts with the product
Review the baseline before adding more custom intents.
Run Domain Clarity first so you can check the profile that informs AEOchamp’s five baseline buyer questions. Then open User Intent. Examine whether each question matches an actual buyer situation, inspect Organic and Mentioned scores, and open individual model results and competitors. A question that is irrelevant to your business should not become a content brief just because it has a large gap.
Free analyzes the baseline questions with one selected model. Champion adds baseline analysis across all eligible models and custom intents with selected models. Add a custom question when a real constraint is missing from the baseline. Keep the audience and exact wording in your working notes so you can interpret the result later.
Preserve the baseline
Version the question set as your business changes.
Keep a stable core for comparison, and put new questions in a separate exploratory group in your notes. When the product gains an integration or changes audience, record why a question was added, changed, or retired. Do not rewrite a weak-scoring question until it produces a better number and call that progress.
OpenAI’s evaluation guidance favors task-specific cases that reflect real-world use. Apply that principle here: the question set should resemble customer decisions, not a showcase designed to flatter the business. Read how to measure AI visibility to document the analysis context, then use the score guide to choose the follow-up.
Your questions, answered
How many AI tracking prompts should I start with?
Start with five specific buyer questions covering distinct decisions. Add more when you can explain the audience and page task each new question supports. Five is a starting workflow, not a statistically representative sample.
Should I include my brand in tracking prompts?
Keep unbranded discovery and branded fit checks separate. AEOchamp Organic analysis withholds the brand; Mentioned analysis supplies the domain. Naming the brand changes the test.
Can I add my own buyer questions in AEOchamp?
Champion lets you add custom user intents and select eligible models. Each selected custom-intent model uses one shared daily credit for the Organic and Mentioned pair. Baseline-intent analysis is included separately.
From advice to a clear next step
Start with questions your customers would actually ask.
Use the five baseline User Intents to get a first picture, then add focused custom questions with Champion when your real buying situations need deeper analysis.
Start your free AEOchamp check