Problem and category discovery
Recognize the job and understand the available solution class.
AI visibility / Commercial question framework
Commercial AI questions, organized by buying intent.
Use this framework to help digital brands shape neutral AI-discovery questions across five decisions: discover, shortlist, compare, test fit and reduce purchase risk.
The anatomy of a useful question
Each layer makes the commercial context clearer without steering the answer toward a preferred brand.
| Framework layer | What it defines | Question move | Use |
|---|---|---|---|
| Subject | Product, service or solution category | Name the category plainly | Core |
| Job | Outcome or workflow the buyer needs | Describe the job before options | Core |
| Audience | Buyer, user or market context | Add context only when fit changes | As needed |
| Constraints | Budget, integration, location or governance | State the decision limits | As needed |
| Evidence request | Trade-offs, sources and uncertainty | Ask for reasons and sources | Record |
Five commercial buying-intent stages
Use the stage that matches the buyer's decision, then add only the context needed for a fair and answerable question.
Category shortlist
Request several viable options for a defined use case.
Comparison and selection
Evaluate differences, trade-offs and evidence between alternatives.
Fit and constraints
Test audience, integration, budget, location and governance needs.
Purchase confidence
Reduce implementation risk and ask what evidence supports the choice.
Controls against a distorted answer
A question should reveal how a brand appears in context, not manufacture a preferred outcome.
No hidden brand seeding
Keep discovery questions brand-neutral. Name a brand only for a specific comparison or claim.
No forced winner
Ask for options, decision criteria and trade-offs—not one universal best choice.
Matched context
Keep audience, location, constraints and answer shape consistent across comparisons.
Evidence capture
Record the question, AI surface, time, answer, brands, sources and any failed observation.
Check a real commercial question for your brand.
Share one brand, website and buyer question. Brandilite returns three bounded findings before any paid diagnostic or subscription.