A useful AI visibility audit starts with a precise question: for which shopping needs should your brand be considered, and what happens when you test those needs? Asking an assistant to name your company tells you much less than asking it to help a shopper choose between products with a specific budget, use case, and constraint.
For a Shopify brand, the first task is to build a small, repeatable picture of that experience. Then investigate the gaps you can actually address: missing product facts, unclear positioning, inconsistent policies, or pages that do not answer the buying question. Treat each improvement as a hypothesis to test, rather than a promise of future recommendations.
Start with the buying situation
Write down the situations in which your product is a credible choice. A bag company might serve bicycle commuters carrying laptops, parents packing for a day out, or travelers seeking a lightweight personal item. These are different needs, even when the same product serves more than one.
For each situation, identify the selection criteria a shopper would reasonably use. These might include dimensions, weight, materials, compatibility, delivery region, or maintenance. Use actual customer questions and support conversations to decide which criteria matter. Avoid inventing demand simply because a phrase sounds attractive in a marketing brief.
Turn those situations into neutral prompts. For example: “What should I look for in a commuter backpack that carries a laptop and a change of clothes?” Follow with a more specific comparison question. Keep questions that explicitly name your brand in a separate group, because they test brand understanding rather than unprompted discovery.
Record what each answer actually does
A brand mention, a product recommendation, and a citation are separate observations. An answer might name your company without linking to it, cite your guide without recommending a product, or recommend an item while describing it incorrectly.
For a manageable initial review, record:
- The exact prompt, engine, date, language, and available session settings.
- Whether your brand and relevant competitors appear.
- Which product is discussed and whether its description is accurate.
- The source links supplied with the answer, when present.
- The buying question that remains unanswered.
Repeat the checks before interpreting a change. A small prompt sample describes the responses you observed under those conditions. It does not tell you what every shopper sees or how often your brand appears across all conversations.
Check the page a shopper would need
If the prompt concerns laptop fit, a broad lifestyle homepage may not settle the question. Review the product page for precise compartment dimensions and supported device sizes. If the prompt concerns international delivery, check whether the relevant destination and restrictions are clear on a public policy page.
Create a simple record with four fields: the question, the current answer on your site, the evidence behind that answer, and the person responsible for updating it. This prevents a common content mistake: publishing polished explanations before anyone has confirmed the underlying facts.
A hypothetical backpack description such as “made for every adventure” leaves many buying questions open. A more useful description explains its intended use, verified capacity, fit limitations, and care requirements. Keep the brand voice, but give it something concrete to communicate.
Keep the SEO foundation in place
GEO work should begin with a functioning, accessible website. For Google's AI Overviews and AI Mode, Google explicitly says existing SEO practices remain relevant and that no special AI markup or new machine-readable file is required. Its eligibility guidance includes indexing and snippet eligibility. Those statements concern Google's features; they should not be generalized into a rule for every AI service. Google Search Central
Ask your team to check the important pages for access problems, broken links, contradictory product information, and content that is difficult to find. Fixing those issues has a clear purpose even before any change appears in an AI answer.
Prioritize one meaningful gap
Do not rewrite the entire store after one disappointing response. Choose a gap that combines commercial relevance with an identifiable information problem.
Suppose your brand is absent from a commuter comparison, and your product pages never explain laptop fit. The next action is to verify and publish that information on the appropriate page. Record when the change went live, then repeat the original checks over time. If the answer changes, document it; if it does not, preserve that result too.
Keep a separate list of questions for which your product is unsuitable. A trustworthy content strategy makes those limits understandable. Appearing in a poorly matched recommendation is not a useful business outcome.
Choose an audit with a defined scope
If your team needs help establishing its starting point, Metis AI by MICROFACTOR offers an AI Visibility Audit. The service page lists a one-time price of $299 USD, tests using more than 20 shopper-style prompts across ChatGPT, Gemini, and Claude, and a written PDF report covering visibility, competitor mentions, and information gaps. It states that no app installation is required and that ongoing scans and page rewrites are separate services.
Whether you audit internally or use a service, the useful deliverable is a prioritized list of questions, supporting evidence, and next actions. Start with one important buying situation, establish what your site can substantiate, and make the next test comparable to the first.