The cost of GEO cannot be accurately defined as a single fixed figure without analysing the website, the market, and the current level of AI visibility. Pricing depends on the scale of the project, the number of languages and regions, the state of the content, the technical structure, the level of competition, and the depth of monitoring required. At Tsoden, GEO is not treated as a one-off service, but as a long-term strategy for brand presence in generative systems, which is why its cost is always based on diagnosis rather than a standard price list.

Why GEO doesn’t have a universal price
GEO, or Generative Engine Optimisation, helps a brand become visible not only in Google, but also in AI-generated responses. This differs fundamentally from traditional promotion: what matters here is how neural networks understand the company, which sources they rely on, how accurately they describe its services, and in which scenarios they recommend the brand.

For that reason, the cost of GEO is not tied to the number of “articles per month”, but to the complexity of a company’s digital presence. For a small local business, the work may begin with an audit, local pages, and FAQs. For an international company operating across the EU, it will involve multiple language versions, markets, competitors, data structure, content, and ongoing analytics.

What the cost of GEO includes
The first component is diagnosis. Before any optimisation begins, it is essential to understand how AI already perceives the brand: whether it is mentioned, in which types of responses, with what wording, and whether it is confused with competitors. This is where the cost of an AI visibility audit comes in – and it varies depending on the number of queries, markets, languages, competitors, and AI systems that need to be analysed.

The second component is strategy. Following the diagnosis, a geographic strategy is developed: which regions matter most, which languages are a priority, which pages need strengthening, where local context is missing, and which trust sources should be reinforced.

The third component is implementation. This includes AI content optimisation, refinement of product pages, category pages, FAQs, structured data, internal linking, and the wording that AI systems can use without distortion.

How GEO differs from traditional SEO in terms of budget
Traditional semantic SEO is often priced based on keyword clusters, technical fixes, content plans, and link building. GEO operates on a broader level: it is not just about rankings, but about how accurately a brand is interpreted in generative responses.

As a result, the cost of AI optimisation typically depends on a wider set of factors: the condition of the website, the clarity of brand signals, the number of markets, the complexity of the niche, the quality of FAQs, the level of competition, and the need for continuous monitoring. If AI already understands the brand well, the workload may be lighter. If the brand is rarely mentioned or misrepresented, a deeper restructuring of content and structure will be required.

Which factors have the greatest impact on price
Several key variables tend to influence GEO pricing: the size of the website, the number of product or service pages, the presence of multilingual versions, the number of target countries, the competitiveness of the niche, the quality of existing content, and the technical readiness of the site.

FAQs and structured data also play a crucial role. Generative systems rely on clear answers, accurate markers, logical AI-friendly content structure, and pages where facts are clearly separated from marketing claims. The more of these elements need to be created or refined, the greater the scope of work.

Why monitoring is part of the real cost
GEO cannot be considered complete after a single round of optimisation. AI systems evolve, competitors update their content, and the same brand may be represented differently across ChatGPT, Gemini, Copilot, and other environments. That is why, at Tsoden, AI monitoring is a core component: tracking mentions, accuracy, context, and competitive positioning.

Without monitoring, it is difficult to assess whether the work is paying off. A brand may appear more frequently in responses, yet still be described inaccurately. That is why it is not just the volume of AI brand mentions that matters, but their quality.

How to estimate your budget before starting
The most sensible first step is not to look for a standard price, but to request an initial assessment of AI presence. This reveals how well the brand is already understood by neural networks, which pages are underperforming, where local context is missing, and which markets should be prioritised.

From there, the appropriate format can be defined: a one-off audit, a consultation, optimisation of key pages, a GEO strategy for the EU market, or ongoing support with analytics. This approach is far more transparent than offering a fixed price without understanding the scope of the task.

Summary
The cost of GEO depends on the scale of the business, the markets and languages involved, the level of competition, the condition of the website, and the depth of work required. It cannot be honestly priced without analysis, because GEO includes audit, strategy, technical preparation, content, FAQs, local signals, and monitoring.

In Tsoden’s approach, the most sensible starting point is to assess current AI visibility first, and only then define the scope of work. This allows a business to understand not just “how much GEO costs”, but exactly what it is paying for and which factors influence the outcome.