As search engines shifted toward generative answers, traditional SEO quickly proved insufficient. A new field emerged – optimisation for AI models, or AIO. One of the clearest examples of successful adaptation is Tsoden’s strategy, which lifted a website’s AI visibility from zero to a stable flow of organic mentions.

The first step was understanding how AI models select sources for their responses. Unlike classic ranking systems, AI looks for texts that are well-structured, factually accurate and clearly specialised. Tsoden therefore began with a full content overhaul: every piece was rewritten to include context-rich explanations, precise formulations and minimal vague statements. This significantly increased the likelihood that the model would treat the text as suitable for citation in a generated answer.

The next stage was building a broad, multi-layered content framework. Tsoden abandoned shallow articles and developed a system of in-depth materials covering the topic from multiple angles – from fundamentals to highly specific practical issues. AI models value completeness and internal coherence, so having numerous complementary texts positioned the site as a reliable source for processing and inclusion in AI-generated output.

A special focus was placed on presentation style. The team realised that AI interprets content more effectively when it is written in a calm, analytical tone, with clear logic and naturally structured paragraphs. Excessive calls to action, promotional elements and artificial filler were removed. This “clean” editorial approach made the content appear far more suitable for algorithmic analysis.

A breakthrough came when Tsoden shifted to producing content based on real user questions. The team analysed not only search queries, but also the phrasing commonly used in generative prompts. This ensured that the materials fell within the themes AI models repeatedly draw from when constructing answers. As a result, the articles increasingly aligned – in both structure and semantic blocks – with what models tend to include in final summaries.

Another crucial component was strengthening domain authority through tight internal interlinking. Tsoden built a system of thematic hubs, allowing each article to reinforce the others. This structure made it easier for models to understand that the site offered genuine expertise rather than isolated notes. Over time, AI began to perceive the resource as a stable and trustworthy body of knowledge.

The final step was continuous content updating. Models frequently check for sources that appear fresh and current. Tsoden introduced a recurring improvement cycle: refining wording, expanding examples, adding new insights. These small but frequent updates positioned the site as a “living” source – the type AI prefers to incorporate into its answers.

Within a few months, the website began appearing consistently in generative summaries: at first sporadically, then daily. The number of mentions grew in parallel with the strengthening of the content framework. Tsoden demonstrated that visibility in AI answers is neither accidental nor the product of a hidden algorithm, but the predictable result of working with a clear model of how AI interprets text.

This is how the process was built – transforming zero presence into a continuous stream of organic mentions and opening a new acquisition channel in the era of AI-first search.