SEO in the AI era

How to make your brand appear in ChatGPT and Google Gemini answers

Questions about marketing tools, web technologies, or agency recommendations are increasingly asked directly in AI tools. ChatGPT, Google Gemini, and Perplexity analyze large amounts of data and generate one answer that helps the user solve a specific problem.

For brands, this creates a new space for online visibility. If the content published on a website is expert, well organized, and answers real user questions, it can become one of the knowledge sources used by AI models when generating responses.

New terms have appeared around this trend, such as AEO (Answer Engine Optimization), GEO (Generative Engine Optimization), and AI SEO. All of these approaches share the same goal: increasing a brand’s visibility in answers generated by AI systems. In practice, this means combining a well-planned content strategy, a clear website structure, and technology that allows search engines and AI models to easily understand and interpret the published content.

How does search work in AI tools?

AI systems analyze large amounts of data available on the internet and use it to generate a single answer. Unlike traditional search engines, their goal is not to show a list of links, but to provide the most useful answer to the user’s question. To create responses, AI tools use expert articles, technical documentation, and educational materials. Based on this information, they select parts of content that best match the context of the question. Because of this, websites that publish reliable and well-prepared expert content have a much higher chance of appearing in answers generated by AI systems.

Questions asked by users in ChatGPT and Gemini

Jedną z charakterystycznych cech wyszukiwania w narzędziach AI jest sposób formułowania zapytań. Użytkownicy bardzo rzadko wpisują pojedyncze słowa kluczowe z kolei zdecydowanie częściej pojawiają się pełne pytania dotyczące rozwiązania konkretnego problemu lub wyboru odpowiedniej technologii. W praktyce oznacza to, że użytkownik może zapytać, jak zwiększyć konwersję na stronie internetowej, jak zaprojektować an effective landing page albo w jaki sposób poprawić doświadczenie użytkownika w sklepie internetowym. Bardzo często zadawane są pytania technologiczne dotyczące kosztów stworzenia strony internetowej, wyboru systemu CMS czy sposobu integracji API z systemem e-commerce.

Keywords that work in AI search

W wyszukiwaniu opartym na sztucznej inteligencji znaczenie ma nie tylko pojedyncza fraza kluczowa, ale przede wszystkim kontekst tematyczny całej treści. Każdorazowo modele AI analizują, czy dany artykuł rzeczywiście dotyczy określonego obszaru wiedzy i czy zawiera odpowiednio rozwinięty kontekst. Firmy działające w obszarze digital coraz częściej poszukują skutecznych sposobów na rozwój strategii marketingowej, automatyzację działań oraz efektywne prowadzenie kampanii online. Dużym zainteresowaniem cieszą się również tematy związane z doświadczeniem użytkownika, poprawą użyteczności serwisów oraz zwiększaniem konwersji na stronach internetowych.

Po stronie technologicznej rośnie znaczenie nowoczesnego developmentu, projektowania aplikacji webowych oraz tworzenia dedykowanych systemów dopasowanych do potrzeb biznesu. Coraz więcej organizacji wdraża także integracje API i rozwija własne środowiska CMS, które pozwalają lepiej zarządzać procesami oraz danymi. Bardzo duża liczba zapytań dotyczy również e-commerce, w tym tworzenia sklepów internetowych, optymalizacji konwersji w sklepie czy integrating sales systems.. Content that naturally covers these topic areas is much more likely to be recognized by AI systems as a reliable source of expert knowledge.

How to write articles that AI may quote in answers?

Models often use article fragments that clearly answer user questions. For this reason, content should explain specific topics in a simple and structured way. A good example is a section about increasing website conversion. It should clearly show that better results depend on factors such as intuitive UX, fast loading speed, a simple purchase process, and visible call-to-action elements. Such explanations provide direct value, which makes them more likely to be used in generated responses. Article structure also plays an important role. Logical sections with clear headings make it easier for algorithms to find and understand relevant information.

The structure of an article is also very important. Content divided into logical sections with clear headings makes it much easier for algorithms to identify the parts that answer specific questions.

Why is expert content so important?

Expert and educational content is more likely to be used in AI-generated answers. This includes guide articles, technology analyses, and case studies based on real projects. Such materials help systems understand what a company does and whether it has real expertise in a specific area. In practice, a company blog can work as a knowledge hub. It builds brand authority and increases visibility both in search engines and in AI tools.

Articles with a guide or educational format often achieve the highest visibility in AI-based search. Users frequently look for explanations of how specific technologies work, comparisons of different solutions, or advice on choosing the right tool. Content that discusses technology trends or presents case studies of real implementations is also highly valued. Such materials not only answer user questions but also show how particular solutions work in practice.

How to prepare a website for AI SEO?

Besides the content itself, the way a website is designed is also very important. A high-quality user experience and well-planned information architecture make it much easier for algorithms to understand the content. The website should have a clear and logical structure, where each section is well described and connected by topic. Technical optimization also plays an important role, including fast loading speed, a proper HTML structure, and the use of structured data.

User experience is also very important. Websites with clear navigation and well-designed UX are not only easier for visitors to use, but are also interpreted much better by search engines and AI systems.

Key SEO principles in the AI era

Visibility in search engines and AI systems today depends on several connected factors. The most important one is high-quality expert content that answers real user questions and is presented in a clear and logical way.

A well-designed website structure and proper technical optimization are also very important. Websites that combine valuable content with good UX and a solid technical foundation achieve much better visibility both in Google and in AI systems.

In practice, this means that an effective SEO strategy increasingly requires a combination of expertise in marketing, user experience design, and web technologies.

How much does AI SEO cost in 2026?

SEO budgets today can range from 3,000 to 15,000 PLN per month for smaller projects. For more advanced strategies, costs usually start at around 20,000 PLN per month and increase with the scale of activities.

Today, we no longer talk only about SEO, but about a comprehensive approach that includes:

• creating expert content,
• building authority,
• optimizing for AI-generated answers.

SEO is no longer just about Google rankings. It also includes visibility in tools like ChatGPT and Gemini. In the coming years, AI-driven search will become one of the main sources of traffic and a key factor in building competitive advantage.