AI visibility check
How visible is your business in AI answers?
A useful check connects real observations of answers with a review of your website. It shows what was actually visible in the question set examined, which content is missing and which technical questions need further clarification.
What is checked, and how the scope is defined
Before analysis, the audience, services, language and target region are defined. These produce questions for which your business could meaningfully be relevant. The systems and interfaces examined are explicitly named.
The agreed scope may cover individual important pages or a connected service area. A check for a regional service business requires a different question set from an examination of an online shop. A blanket overall score without a disclosed method therefore says little.
A question register with traceable origins
Illustrative template: The following questions and origin details are examples, not collected customer data. In a project, each question is recorded with actual evidence or explicitly as a hypothesis still to be tested.
| Example question | Origin to substantiate in the project | Suitable answer page |
|---|---|---|
| What preparation does SEO support require? | An anonymised note from an initial discussion with its date; simplify the wording if needed. | SEO services |
| What determines the cost of GEO support? | An actual quotation enquiry or traceable search data; initially a hypothesis if evidence is missing. | GEO costs |
| How do I distinguish an AI mention from an enquiry? | A documented reporting question; no invented frequency of demand. | Measurement methodology |
Each question also receives an identifier, target region, language and a “branded” or “unbranded” label. Questions from conversations may matter commercially even without search-volume data. Search volume is stated only with its source, market and period.
Four review areas with different results
| Review area | Guiding question | Documentation |
|---|---|---|
| Business information | Is it clear who provides which service? | Consistency and unresolved details |
| Content | Are relevant customer questions answered? | Question-to-page matrix and gaps |
| Technology | Is important content accessible and usable? | URLs checked and specific findings |
| AI answers | Is the business mentioned or one of its own sources linked? | Answer evidence with test conditions |
A technical finding does not yet prove citation. Conversely, a single missing mention does not explain why the system answered differently.
Which deliverables are useful
A useful analysis should make decisions easier. It includes documented observations, the main content or technical findings and a reasoned sequence of possible measures. Each recommendation relates to a page or a specific task.
Effort is easier to assess when dependencies are visible alongside benefits, such as required approval of business information, WordPress access or collaboration with your existing web agency.
How a finding becomes a verifiable task
Annotated example, not a finding from this website: Two of your own pages describe the same offering differently. Page A states that it is analysis without implementation, while page B says implementation is included.
| Step | Example and assessment |
|---|---|
| Finding | Both URLs, the conflicting passages and the review time are recorded as original evidence. A missing AI mention alone would not prove this contradiction. |
| Impact | Prospects receive different answers about the service scope. A source review also leaves unclear which information currently applies. This still does not establish the cause of a particular AI answer. |
| Priority | High if the discrepancy affects an enquiry or quotation. Before the text changes, the responsible specialist confirms the actual scope. |
| Correction | The approved information is corrected on the affected pages. Relevant excerpts and, where applicable, structured information are checked too; no new service is invented. |
| Acceptance | The publicly accessible versions of both URLs are opened again and compared with the approval. The review records which texts now agree and whether other locations remain unresolved. |
In the results report, “finding confirmed”, “change implemented” and “effect observed” remain separate states. Whether later AI answers adopt the corrected information is observed separately using the agreed question set. The public correction alone does not yet prove that effect.
An initial check you can perform yourself
- Choose a real customer question without your company name.
- Note the service, interface, language, date and search mode used.
- Check whether your business is clearly named and whether a link to one of your own sources appears.
- Open the sources and check which statement they actually support.
- Repeat the question later under comparable conditions.
This initial view is a sample. It does not replace a complete analysis and should not be understood as a general statement about your market position.
How to prepare an enquiry
Your website, main services and desired target region are enough to get started. If you have already observed particular AI answers, describe the question, system and time. Confidential customer information or passwords are not required.
We then discuss which review makes sense for your needs and which deliverables should be agreed. Analysis takes place within the agreed scope. You receive a transparent evaluation of the questions and pages actually examined.
Frequently asked questions
Does a website score measure how often AI cites my business?
Not automatically. Reviewing page titles, technical settings or structured data produces technical findings. Citation frequency requires actual observations of answers with a documented test set.
Which systems should be checked?
Selection depends on your audience and question. It is important to record the specific interface and avoid transferring results indiscriminately to other services, countries or modes.
Try it yourself
Check technical foundations beforehand
The free HTML check helps with titles, descriptions and page structure. Actual AI mentions are observed only in a separate analysis of answers and sources.
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