An AI audit is not about checking whether a website exists, but about analysing how neural networks understand a brand, its services, and the context in which they are used. At Tsoden, an AIO audit is treated as the starting point: it reveals where meaning is lost, which pages send strong signals, and why a company either appears in AI-generated answers or remains absent from them. Below is a practical checklist used in real-world work.

1. How AI Currently Describes the Brand
The first thing to assess is the current AI perception. How exactly is the brand described in responses? Which services are mentioned? Are there any distortions or confusion with competitors? This allows you to evaluate real AI visibility, rather than relying on assumptions.

If AI produces vague or inaccurate answers, it is a clear sign that the models are not receiving sufficiently clear data. At Tsoden, this is where diagnosis begins: not with the website itself, but with how it is already being interpreted.

2. Key Pages: Product, Category, FAQ
The next step is to analyse the pages most often used as sources by AI: product pages, category pages, and FAQs. These should provide direct answers – what the product is, who it is for, how to choose it, and what limitations apply.

Here, the focus is on AI-friendly content structure. Are the headings logical? Are meaning blocks clearly separated? Is it easy to extract facts? If a page requires “reading between the lines”, AI is far more likely to misinterpret it.

3. Consistency of Wording
AI does not handle contradictions well. If a brand describes itself differently across pages, the model may interpret it as several separate entities. As part of the audit, it is essential to check whether key formulations align: positioning, service descriptions, limitations, and categories.

This directly affects AI trust signals. The fewer discrepancies there are, the more confidently the model will rely on the site as a source.

4. Content That AI Can Easily Understand
At Tsoden, particular attention is paid to whether the site contains AI-readable content. This is not about simplifying the language, but about clarity and structure. Are there concise answers, lists, clear definitions, and logical internal links between pages?

Special attention is given to whether the page can be “quoted”. If it is difficult to extract a concrete answer from the text, AI will look elsewhere.

5. FAQ as a Source of Precise Answers
The FAQ section is one of the key elements of the audit. It is not just about whether it exists, but about its quality: which questions are covered, how direct the answers are, and whether there are contradictions across sections.

AI FAQ optimisation includes aligning answers across pages, adding micro-FAQs to product and category pages, and removing ambiguous phrasing. This reduces the risk of misinterpretation in generative responses.

6. Geography and Local Signals
For businesses operating in the EU, reviewing regional logic is essential. Does the site clearly define where the business operates, include local pages, language versions, and region-specific conditions?

This involves analysing the geographic strategy and its alignment with local user expectations. AI takes language, region, and context into account, so inconsistent data can reduce relevance even when the content itself is strong.

7. External Sources and Mentions
AI does not rely solely on the website when forming answers. It is important to review which external sources mention the brand, how they describe it, and whether this aligns with the official positioning.

This affects AI brand mentions and the wording AI picks up in its responses. Inconsistent external signals often lead to a distorted brand image.

8. Metrics and Change Monitoring
The final stage of the audit is defining how success will be measured. At Tsoden, AI content metrics are used: frequency of mentions, accuracy, context, and comparison with competitors.

After implementing changes, AI monitoring becomes essential. Without it, it is impossible to understand how the brand’s interpretation evolves or what adjustments are needed next.

Summary
An AI audit is not a box-ticking exercise, but a tool for understanding how a brand exists within the generative environment. At Tsoden, it is built around three core tasks: identifying the current interpretation, strengthening key signals, and consolidating the result through analytics and monitoring.

When approached systematically, AI Optimisation becomes not a one-off task, but part of a broader growth strategy. This is how a business moves beyond mere presence in AI and achieves clear, consistent, and controllable visibility in generated answers.