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This content has been automatically translated from Ukrainian.
We are at a point of no return. What once seemed like futuristic predictions has become daily routine: traditional Google searches are rapidly losing ground under the pressure of generative models. The paradigm has shifted. Previously, the user was a "hunter" who navigated through the thickets of websites in search of answers. Today, the user is a "consumer of ready-made products," who receives the final answer directly in the interface of ChatGPT, Gemini, or Perplexity.
Oleksandr Kryvotsyuk, founder of the agency Just About Marketing, compares this period to 1999 for Google. Back then, Yahoo seemed like an unbeatable giant, while a small search engine with a strange name held only 7% of the market. Today, we see the same picture: chatbots currently take about 5% of traffic, but the growth rates among Zoomers and the IT community indicate that in 2-3 years, the structure of the internet will change beyond recognition.
The Era of "Zero Clicks": Why Old Promotion Methods Are Dying
Classic SEO was built on the struggle for clicks. We optimized headlines to get people to visit the site. In the world of GEO (Generative Engine Optimization), clicks become a secondary goal. Your primary task is to ensure that artificial intelligence selects your content as the basis for its response and names your brand a reliable partner.
If your site does not "speak" the language of LLM models (Large Language Models), you risk becoming invisible. AI does not just index pages; it analyzes them for usefulness. Therefore, informational filler articles no longer work. When you order professional search engine promotion for IT projects, the focus should shift from mass link buying to building authority in the eyes of algorithms.
Double E-E-A-T Criteria: How to Prove Your Authority to Neural Networks
Google has long used the E-E-A-T model, but for AI assistants, it has become a foundation for survival. Neural networks learn from the entire data array, but to form responses, they filter information based on the level of trust in the author.
- Practical Experience: This is something AI lacks. It can recount theory but cannot tell how your team fixed bugs at two in the morning before a release. Publish live cases, screw-ups, and unique insights.
- Verified Authorship: Every expert article must have a clear link to a real person. AI crawlers scan the author's block: photo, short biography, work experience, and links to active profiles in professional networks. AI needs to "see" that the article about Kubernetes was written by an architect with 10 years of experience, not a universal copywriter.
Technical Hygiene of the Site for LLM Parsers: From llms.txt to Microdata
Besides semantic content, the technical readiness of the code is critically important. AI bots scan your resource differently than regular Google search spiders.
- llms.txt file: This is the new standard for 2025-2026. Similar to robots.txt, it indicates to generative models which parts of your site are most relevant for their training and citation. Its presence is a market signal that your brand is ready to play by new rules.
- Logic of Quick Answers: Use the structure "Question — Short Answer." H2 headings should be formulated as users input them into the chatbot. The first paragraph under the heading (1-2 sentences) should provide the most concentrated essence. AI loves such conciseness and instantly pulls these blocks into its responses.
- Schema Microdata: If previously Schema.org helped to get beautiful stars in the search results, now it is a tool for direct communication with intelligence. Use HowTo, FAQPage, and Article tags with detailed fields about the author. This allows AI to structure your information without errors.
The Evolution of Search Engine Marketing: From Rankings to AI Recommendations
In 2026, the boundary between SEO and PR will be completely blurred. To be successful, you must be present not only in Google search results but also on thematic forums, Reddit, and Quora. AI often turns to these platforms for "live" opinions from people. If your brand is mentioned there in a positive context, it increases the chances of being included in ChatGPT's recommendations.
Oleksandr Kryvotsyuk emphasizes that the task of marketing is to "fill" the information space. This means publishing videos on YouTube (from which AI also gathers information through transcription), working with reviews on Clutch, and creating in-depth analytical reports.
Remember: AI assistants do not want to provide users with a list of websites. They want to give one, the best answer. And your strategy today should be aimed at ensuring that this answer is the name of your company. Only then can you convert the search revolution into a real advantage over competitors who continue to live by standards from a decade ago.
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