The use of artificial intelligence tools is increasing day by day. This has also increased brands’ desire to be visible in this space. While the rules of the game are very clear on the SEO side, unfortunately there are no fully established rules yet on the AI side. 

Visibility on the browser side is defined as SEO, while visibility on the AI side is referred to as GEO (Generative Experience Optimization). 

As can be understood from the definition of GEO, it never focuses directly on the brand itself; instead, it focuses on experience. For example, it starts with the impact a brand has on users and concentrates on the experiences that differentiate it from its competitors within the industry. 

There is never a clear brand recommendation. It evaluates the advantages and disadvantages of the service provided by the brand and generates responses by incorporating comments that best fit the context. Even for identical questions, it can produce different answers each time. 

During this process, when a question is asked about a specific service provided by a brand, if the brand’s website infrastructure is GEO-compatible, approximately 13% of the information is sourced from the brand’s own website. 

When a question is asked directly about the brand itself, and if the website infrastructure is GEO-compatible, the rate of sourcing from the brand’s own site can increase up to 40%. However, when a direct brand-related question is asked, the user has already reached that brand and is specifically asking about it. Therefore, our primary focus is not the answers given to brand-specific questions, but rather the answers given to service-related questions. 

Of course, this does not mean that answers given when the brand itself is asked about are unimportant. On the contrary, the more public value and contribution you provide through your services, the higher the likelihood that you will be described as a proven and credible brand. 

We mentioned that for service-related questions, approximately 13% of the information is sourced from brand websites if they have the appropriate infrastructure. So where does the remaining 87% come from? 

The remaining sources consist of 2%, which is currently classified as anonymous, and 85%, which varies depending on the industry. 

When a question about a specific service is asked, AI systems consult brand websites where answers to that question may be found. While generating an answer based on the data collected from these sites, they also search for responses to related questions across various external sources. These sources are purely informational and do not explicitly state “buy this brand’s product.” Instead, they present multiple options that place your brand alongside competitors. Being visible among these competitors is extremely valuable for brand positioning. 

Next, AI evaluates which sources stand out within the industry. If the brand is also recommended across other sources, you may encounter an average response such as the following; 

“It has been observed that this brand provides more beneficial results compared to other solutions in the industry.”

This is exactly the point where you differentiate yourself from your competitors. Artificial intelligence focuses not on results alone, but on the value produced from those results. It prioritizes facts over stories. 

So how does SchemaGenAi position itself at this point? 

How can brands become visible in AI tools using SchemaGenAi? SchemaGenAi does not directly promise visibility in AI tools; instead, it defines the strategy to be followed. If a brand does not genuinely provide a strong experience through its services, there is no improvement that SchemaGen can deliver. 

Its core focus is to make the brand awareness of truly expert brands visible to artificial intelligence systems.

Our product, developed as a SaaS solution, has been shaped under our artificial intelligence company UpveoWorks. UpveoWorks is a U.S.-based company fully focused on artificial intelligence initiatives. 

Two different options are offered to brands that enter the platform. If the company scale is large, an enterprise solution is recommended. For small and medium-sized businesses, there are three different package options. These packages differ in content but operate on the same foundational logic.  

For solutions outside of the Enterprise package, the brand only needs to add a script to its website to make the site infrastructure recognizable by AI tools. The goal is to achieve up to 40% visibility when the brand itself is queried, and to enable AI systems to reach the brand’s website and source approximately 13% of the information when the brand’s service is queried. In the Enterprise solution, in addition to the features of other packages, the focus is on capturing a share of the remaining 85%. This involves asking service-related questions, performing source analysis, identifying relevant sources, mapping the brand’s overall footprint, and building a comprehensive strategy. 

While all services in non-Enterprise packages are handled entirely through the platform, Enterprise packages also include direct company consultations. This is because Enterprise clients are approached with a realistic strategy and guided accordingly. 

Brands typically ask the following questions; 

• Is the brand currently recognized by artificial intelligence?

• After receiving this service, does the brand see tangible benefits, and can these benefits be tracked? 

• Where does the brand stand among its competitors?

SchemaGenAi continuously shares analytical answers to these questions with its clients through a dedicated dashboard.  

This is not a one-time service, but a long-term strategy that we build and evolve together with the brand. 

The ratios used while generating content have been derived from extensive testing across various AI tools, and references have been obtained from the research firm “airOps Research,” which specializes in this field.