Method · PRACTICAL GUIDE
AI visibility audit: the method before the recommendations
An AI visibility audit should not be reduced to a few screenshots. It must specify what has been tested, retain observations and explain how actions are proposed. For an SME or a European brand, this method makes the result more useful: it allows for discussion of priorities, limitations and the changes to follow after the initial analysis.
Defining what you want to understand
Start by selecting the offers and questions that are important for your business. An entire shop can contain hundreds of references; testing a few priority offers requires indicating this scope. Specify the area, the market language and the engines observed. The dashboard language may be different: an English-speaking team can analyse requests formulated by French customers.
Also define the expected decision. Do you wish to correct information, understand a comparison or identify pages to improve? An explicit objective avoids confusing a general editorial audit with the observation of purchasing journeys. The constraints of your buyers must come from the offer and the market, not just from questions designed to make the brand appear.
Building credible profiles and conversations
A useful profile describes a need, a potential budget and the elements that might cause hesitation. The conversation can start in an open manner, then integrate these criteria. You must keep the responses and the steps to see when the brand is selected or discarded. A query that systematically names your brand does not answer the same question as a search without an initial preference.
Simulations remain simulations. They help to observe the engines' responses within a defined framework; they do not represent all real buyers. Versions, personalisation and search conditions can modify the results. Repetitions and the description of the protocol provide more information than an isolated score without context.
Linking conclusions to verifiable observations
A finding must be open to discussion. For erroneous information, compare the response to the data sheet confirmed by the company. For a comparison, re-read the reasons mentioned by the assistant. For a cited source, verify what it actually contains. A source absent from the response cannot be presented as its certain origin.
The dashboard should separate the mention, the recommendation and the final choice. It should also signal incomplete observations or unavailable engines. An analysis can explain a trend without inventing figures or filling in the gaps with favourable conclusions. The quality of the result depends as much on these explicit limitations as on the quantity of conversations collected.
Proposing actions at the right scale
A concrete action names the problem, the page or the information to be modified and the reason for the priority. Correcting a product characteristic, publishing a useful comparison and updating a third-party source do not require the same work. The plan should allow for deciding who intervenes and how to verify that the change has been published.
Potential impacts can help to order actions if their hypotheses are visible. They do not constitute a guarantee of results. When an action addresses an issue of reliability or clarity that is difficult to quantify, present this issue directly. An artificial calculation is not necessary to explain why an erroneous price must be corrected.
Preparing the next survey from the first audit
Keep the scope and note the changes delivered. The next survey should take up a comparable base, then indicate what is new. The results must be dated and commercial data separated from the simulations. If the market or the offer changes, the comparison requires an adapted reading rather than a simple percentage displayed as a victory.
valooo.ia associates this method with an interactive dashboard and prioritised actions. You can explore an anonymised example before ordering an analysis of your brand. The choice of French, English or Spanish for the dashboard occurs before generation; it is distinct from the language of the conversations of the market studied.
From observation to your next action.
An interactive dashboard to understand where your brand is recommended, where it disappears, and what needs correcting.
Explore the free example ↗ See offers