Search engines have evolved from simple Yahoo directories in 1994 to complex AI algorithms in 2025. Today, over 65% of queries in ChatGPT, Perplexity, and Google SGE receive synthesised answers instead of traditional links. This fundamentally changes the approach to content optimisation.
Generative Engine Optimization (GEO) — This is the optimisation of content for inclusion in AI-generated search engine responses. Unlike SEO, where the goal is to get into the top 10 results, in GEO it is important to become a source for synthesised responses.
According to a study by Princeton University, websites optimised for GEO receive 2.4 times more mentions in AI responses. Ukrainian companies that are the first to adapt GEO strategies will gain a competitive advantage in the local market.
GEO is a methodology for optimising web content to maximise the likelihood of it being used by generative AI systems when forming responses. While traditional SEO focuses on search engine rankings, GEO works with the probability of content being cited in synthesised responses. The key difference lies in the target metric. SEO measures success by rankings and CTR (the average CTR for position 1 is 27.6%). GEO measures the citation rate — the percentage of content included in AI responses, which reaches 40-45% for optimised pages.
Generative search engines use large language models to process queries. The process involves three stages: analysing the query through tokenisation, searching for relevant information in the index, and synthesising the response with source attribution. ChatGPT processes over 100 million queries daily using the GPT-4 model with 1.76 trillion parameters. Google SGE analyses context from 20-30 sources to form a single response, which is 5 times more than traditional search considers for ranking.
The response generation time is 3-7 seconds, during which the system evaluates the reliability of each source based on 15 parameters, including content freshness, domain authority, and semantic relevance.
The generative search market in 2025 is represented by five major players: Google SGE (42% of the market), Microsoft Bing Chat (28%), ChatGPT Search (18%), Perplexity (8%) and You.com (4%). Each platform has its own characteristics in terms of processing and presenting information. Generative responses are divided into four types: informational (answering "what" questions), procedural (explaining "how"), analytical (comparing options), and creative (generating new content). The first three types are the most popular on the Ukrainian market, accounting for 89% of all queries.
SEO is based on the concept of visibility — the higher the position, the more traffic. The average CTR for position 1 is 27.6%, while for position 10 it is only 2.4%. GEO works on an inclusion principle: content is either used in the response (100% visibility) or not (0% visibility).
In SEO, success is measured by organic traffic, which accounts for 95.5% of all clicks for the top 10 results. In GEO, the key metric is the frequency of brand mentions in AI responses, which reaches 60-70% for market leaders for relevant queries.
Monetisation also differs. SEO brings direct traffic with a conversion rate of 2-3% for e-commerce. GEO works through brand awareness: mentions in AI responses increase awareness by 34% according to MIT research.
Traditional SEO operates with a keyword density of 1-3%, an optimal content length of 1500-2500 words, and an H1-H6 heading structure. GEO requires semantic completeness with 85-90% coverage of related concepts and depth of topic coverage at the level of 8-10 subtopics.
SEO-optimised text about "web development in Kyiv" will contain this phrase 5-7 times. GEO-optimised content will cover technologies (React, Vue, Node.js), processes (Agile, Scrum), the labour market (average salary $2500), education (courses, universities) and industry trends.
The structure is also different. SEO prefers short paragraphs of 2-3 sentences for better readability. GEO requires logical blocks of 5-7 sentences that form a complete thought for correct parsing by AI systems.
SEO classifies queries as informational (80%), transactional (10%), and navigational (10%). GEO works with dialogue chains, where 67% of queries are follow-up questions to a previous answer.
The average session in traditional search includes 2.3 queries. In generative search, users formulate 5-7 related questions, delving deeper into the topic. This requires the creation of content that answers not only the main question, but also 10-15 logically related ones.
Generative systems evaluate relevance through a semantic similarity score, which must exceed 0.85 to be included in the response. This is achieved by using thematically related terms covering 70-80% of the semantic field of the topic.
For example, content about "mobile app development" should include: platforms (iOS, Android), languages (Swift, Kotlin, React Native), tools (Xcode, Android Studio), metrics (DAU, user retention), monetisation (in-app purchases, advertising) and distribution (App Store, Google Play).
The authority of a source in GEO is measured by the domain authority score (50+), the number of citations in scientific papers (for technical topics), and the presence of Schema.org structured data, which increases the trust score by 23%.
The optimal structure for GEO includes clear thematic sentences at the beginning of each section, numbered lists for processes (no more than 7 points), tables for comparisons, and highlighted definitions of key terms.
Research by the Stanford NLP Group has shown that content with a clear hierarchy (introduction → main concepts → details → examples → conclusions) is used by AI systems 3.2 times more often. Each section should be self-sufficient — understandable without the context of other sections.
Examples are critically important: content with 2-3 specific examples for each concept has an engagement rate of 67%, while content without examples has an engagement rate of only 23%. Examples should be relevant to the target audience and include real data.
Experience in GEO is demonstrated through case studies with specific metrics. Mentioning real-life experience ("5 years of working with 200+ projects") increases the likelihood of being cited by 45%. AI systems verify the accuracy of statements by cross-referencing them with other sources.
Expertise is confirmed by technical details and professional terminology. Content with a technical depth score above 7/10 is cited 2.8 times more often. Important certifications, publications, and participation in professional communities.
Authority is built on citing authoritative sources (scientific publications, official documentation, industry reports). The optimal number of external links is 5-8 per 2,000 words, with anchor text that accurately describes the content.
Reliability is ensured by the relevance of data (updated every 3-6 months), the availability of publication and last update dates, and the indication of sources for all statistical data. Content with trust signals is cited 56% more often.
Generative search is fundamentally changing traffic distribution. According to Gartner, by the end of 2025, search engines will reduce organic traffic to websites by 25%. Instead of 10 blue links, users receive ready-made answers, which reduces the CTR of traditional results from 28.5% to 8.2% for informational queries.
Traffic structure is transforming. If in 2023 64% of traffic came through organic search, 21% — direct visits, 15% — social networks, then in 2025 the distribution changed: organic search — 43%, direct visits — 34%, social networks — 23%. The growth in direct visits is explained by increased brand recognition through mentions in AI responses.
The new attribution model takes into account "zero clicks" — situations where the user receives an answer without clicking through to the website. For e-commerce projects, this means a 30-40% decrease in sessions, but an increase in conversion of the remaining traffic from 2.3% to 5.7% due to a more targeted audience.
The shift from quantity to quality becomes critical. Sites that published 50-100 articles per month to cover the long tail of queries are losing up to 60% of traffic. Winners create 5-10 in-depth materials, each answering 20-30 related questions.
Unique expertise becomes the main competitive advantage. Content based on proprietary research, company data, or exclusive interviews is cited by AI systems 4.2 times more often than reworked information from public sources.
The role of primary sources is growing exponentially. Scientific publications, official company reports, patents, and technical specifications receive 78% of all citations in technical queries. Secondary sources (news sites, blogs) are reducing their share from 65% to 22%.
Content monetization requires new approaches. The traditional model "traffic → advertising → revenue" works 40% worse. Successful projects are switching to premium content: subscriptions grew by 156% in 2024, the average check increased from $9.99 to $24.99 per month.
Marketing budgets are being redistributed. Traditional SEO spending is decreasing from 35% to 20% of the digital budget. Investments in creating expert content are growing from 15% to 40%. The remaining 40% goes to paid channels and affiliate programs.
B2B companies are adapting faster than B2C. The average B2B sales cycle allows building long-term relationships through expert content. Companies that implemented a GEO strategy increased the number of qualified leads by 67%, while reducing overall traffic by 23%.
.jpg "Ideas for an online store")
.jpg "Top-level domains")
.jpg "Telegram tricks for working with text")
.jpg "iGaming: definition and history of development")
