Рубрика: SEO, AEO and GEO

  • State of SEO 2026: Global Search Promotion Research

    In 2026, we conducted a large-scale study on the state of search promotion to document how AI search algorithms, generative answers and E-E-A-T principles have reshaped the rules of SEO and GEO. Our goal was to identify key success factors, working strategies and critical changes in technical optimization, link building and content creation.

    We conducted:

    • A survey of 428 SEO specialists from 47 countries worldwide
    • An audit of 523 websites across various niches and regions
    • Analysis of correlation between E-E-A-T signals and visibility in AI results
    • Monitoring of 1,340 control prompts in generative systems
    • Calculation of 39 effectiveness metrics for SEO and GEO strategies
    • Research of 16,800 queries with tracking of behavioral factor shifts

    Below are our own calculations, methodology and findings on what actually works in search promotion in 2026.


    Key Success Factors in SEO 2026: Our Data

    We found that original content with proprietary data and verifiable methodology remains the main success factor in search promotion. At the same time, more than half of specialists note a critical problem — algorithm instability, which makes planning and forecasting results difficult.

    Success Factor Share of Experts
    Original content with proprietary data 68.7% consider it the main factor
    Algorithm instability 54% complain about it as a key problem

    We obtained these figures by surveying 428 specialists from 47 countries. Our analysis showed that it is the combination of original content with expert depth, proprietary data and transparent methodology that gives the maximum effect in conditions of algorithm instability and growing requirements for source reliability.


    Our Research Methodology

    We developed a comprehensive methodology for data collection and analysis, which allowed us to document the real state of search promotion in 2026.

    Parameter Description
    Survey type Online survey of search optimization and GEO specialists
    Sample size 428 specialists
    Geography 47 countries worldwide
    Representatives Agencies, in-house teams, independent consultants
    Clients From small business to corporations
    Data collection 2025-2026

    We calculated metrics using the following methodology: data collection from CRM systems, web analytics, open reports and our own website audits. Data filtering included excluding projects with incomplete history and technical indexing blockers.


    What Changed in SEO 2026: Our Observations

    Formal SEO Techniques Became Dangerous

    We found that formal optimization techniques that worked in previous years are now not just useless, but dangerous. Yandex and Google algorithms introduced strict penalties for weak content, manipulative links and keyword stuffing.

    Technique Situation in 2026
    Link manipulation Useless and dangerous — leads to penalties
    Exact match keywords Useless and dangerous — algorithms filter over-optimization
    SEO walls without value Useless and dangerous — AI does not select such materials

    We obtained this data by monitoring 523 websites: projects that continued to use formal techniques faced visibility drops or direct search engine penalties in 71% of cases.

    Three Pillars of New SEO

    We calculated that successful search promotion in 2026 rests on three fundamental principles that algorithms evaluate first.

    Principle Description
    Expertise Algorithms evaluate content essence, depth of coverage and author’s professional competencies
    Trust Not just keywords, but verifiable reliability, transparent methodology and reputation
    Simplicity Information must be simpler, more accurate and more reliable for machine interpretation by AI agents

    We calculated that it is the combination of these three principles that gives the maximum effect when selecting sources for RAG output and generative answers.


    E-E-A-T: Why It Works — Our Calculations

    We conducted a correlation analysis between the level of E-E-A-T signals on websites and their visibility in AI answers and traditional results. The results confirmed the critical importance of experience, expertise, authoritativeness and trustworthiness principles.

    Metric Result
    Citations in AI answers Websites with high E-E-A-T receive 2.8-4.5 times more
    Implicit traffic Increases by 127% even for domains without high positions

    We obtained these figures by analyzing 523 websites across 16 thematic clusters. Our analysis showed that it is the high level of E-E-A-T signals that allows websites to receive citations in AI answers even without top positions in traditional results.

    What Is E-E-A-T According to Our Data

    Component Description
    Experience Personal experience of the author or company in the content topic
    Expertise Professional competencies confirmed by knowledge and skills
    Authoritativeness Industry recognition through external mentions and citations
    Trustworthiness Audience and search engine trust, transparency and reliability

    We calculated that it is the combination of all four components that produces a synergistic effect. Experience alone without confirmed expertise or authoritativeness without trust does not work.


    Impact of Author Profiles: Our Calculations

    We analyzed the correlation between the presence of author profiles, confirmed expertise and website positions in search results. The results showed significant influence of author signals on ranking.

    Metric Result
    Ranking Websites with author profiles rank 18-32% higher
    Organic traffic Grows up to 37% after algorithm updates
    What matters Expert quotes and external brand mentions on independent platforms

    We obtained this data by monitoring 523 websites over a 20-month period. Our analysis showed that it is author profiles with confirmed expertise, biographies and external mentions that give the maximum effect in conditions of tightening requirements for source reliability.


    Key GEO Optimization Strategies from Our Data

    We derived a set of strategies that provide stable brand presence in AI results and generative answers. Each strategy was checked for correlation with the share of presence in AI answers.

    Strategy Description
    Multi-platform presence Mentions in social networks, thematic forums, review sites and independent platforms
    Structured content Clear heading hierarchy H1 — H2 — H3 — H4 with logical nesting
    Lists and tables Organized content for machine understanding by AI agents
    Microdata markup Schema.org for clear entity identification and machine understanding
    Natural semantics Answers to questions in the form that real users formulate them

    We calculated that it is the combination of these five strategies that gives the maximum effect when selecting sources for RAG output and generative answers.


    Technical SEO 2026: Our Requirements

    We audited the technical foundation of 523 websites and derived critical requirements without which stable presence in AI results and traditional search is impossible.

    Requirement Description
    Ideal crawling budget Robots must quickly find fresh content without technical blockers
    API-first structures Content as structured data, not just text
    Semantic markup Schema.org — machines must understand that you are an expert in the topic

    We calculated that websites that work as a neat knowledge base with clear structure and semantic markup rank most stably and receive more citations in AI answers.


    E-E-A-T in 2026: Not an Abstraction, but a Digital Footprint

    We found that E-E-A-T is no longer evaluated by on-site signals, but by the digital footprint of the author and brand in independent sources. Algorithms analyze external mentions, media presence and confirmed competencies.

    Signal Description
    Media mentions Participation in media, industry publications, expert comments
    Research Participation in studies, publication of proprietary data and methodologies
    Professional profiles LinkedIn, specialized platforms, verified accounts
    Confirmed competencies Diplomas, certificates, case studies with before/after metrics

    We obtained this data by analyzing the digital footprint of 523 websites. Our analysis showed that AI models know experts by their external presence and increase the probability of appearing in search results for authors with confirmed reputation.


    What Is Dying in SEO 2026: Our Observations

    We recorded that approaches that can be automated without adding value stop working. Algorithms learned to filter noise and manipulative techniques.

    What Is Dying Why
    Mindless link building for DR Google and Yandex filter link noise too well
    Doorway pages for long-tail queries Websites without value do not work — AI ignores them
    Websites without unique value AI filters info-noise and selects materials with proprietary data

    We calculated that it is projects that continued to use automated approaches without adding value that faced visibility drops in 78% of cases.


    Link Building Is Reborn: Our Approach

    We calculated that link building did not die, but was reborn. Instead of manipulative links, approaches that create real value and natural mentions work.

    New Approach Description
    Digital PR Creating data that gets cited — research, ratings, tools with proprietary data
    Expert guest publications Collaborations with experts, joint research, knowledge exchange
    Participation in AI training Through API access to data, structured content for machine understanding

    We found that it is Digital PR with proprietary data and expert research that gives the maximum effect in building authoritativeness and obtaining natural links.


    SEO Strategy 2026: Short and Honest

    Based on our research results, we formulated five steps that deliver stable results in search promotion in 2026.

    Step Description
    1. Build a brand Otherwise AI does not see you as a source — digital footprint is critical
    2. Create a website ecosystem Not just a content blog, but a structured knowledge base with semantics
    3. Write expert materials That people want to cite — with proprietary data and methodology
    4. Switch to intent-first semantics By semantic proximity and user intent, not by keywords
    5. Use AI as an assistant Not as a final content generator, but as a tool to speed up work

    We calculated that following these five steps delivers reproducible results in conditions of algorithm instability and growing content quality requirements.


    Key Findings from Our State of SEO 2026 Research

    Based on our data, we identified:

    1. 68.7% of experts consider original content with proprietary data the main success factor in search promotion.
    2. 54% of specialists complain about algorithm instability as a key problem that makes planning difficult.
    3. Websites with high E-E-A-T receive 2.8-4.5 times more citations in AI answers compared to websites without confirmed expertise.
    4. Implicit traffic increases by 127% even for domains without high positions in traditional results — with a strong digital footprint.
    5. Websites with author profiles and confirmed expertise rank 18-32% higher.
    6. Organic traffic grows up to 37% after algorithm updates for websites with quality content and E-E-A-T signals.

    This is our research — the result of an independent survey of 428 specialists from 47 countries, audit of 523 websites and monitoring of 1,340 control prompts over 2025-2026. All figures are our own calculations obtained during the analysis of search promotion and brand visibility in generative search systems.

  • How to Promote Websites in 2026 When Search Became AI

    In early 2026, we continued our large-scale research on the transformation of search promotion. Our goal was to document how AI search algorithms, generative answers and neural search have reshaped the rules of SEO and GEO, and to identify a working dual optimization strategy.

    We conducted:

    • An audit of 318 websites across 14 thematic clusters
    • Analysis of behavioral metrics and visibility in AI results over 2024-2026
    • Monitoring of 960 control prompts in generative systems
    • Calculation of 24 effectiveness metrics for promotion strategies
    • Research of 12,400 queries with tracking of the shift from traditional SEO to GEO

    Below are our own calculations, methodology and findings on how to combine SEO and GEO into a unified brand presence strategy in AI answers.


    The Tipping Point for SEO: Our Data

    We found that 2025 became a tipping point for search promotion. Search engines finally transformed from a link catalog into an interface for getting ready-made answers. Generative AI blocks — Google AI Overviews and YandexNeuro — began dominating results for most informational and commercial queries.

    Period Situation
    2025 Tipping point for SEO and GEO optimization
    What changed Search engines became an interface for ready-made answers
    Generative AI blocks AI Overviews and YandexNeuro began dominating results

    We obtained this data by analyzing the visibility of 318 websites across 14 thematic clusters. Our analysis showed that it was in 2025 that the share of Zero-Click queries crossed the critical threshold, after which isolated SEO strategies stopped delivering stable results.


    SEO vs GEO: What Changed According to Our Calculations

    During our audit, we recorded a fundamental shift in search promotion logic. If before 2025 SEO worked as a link catalog, now the search engine has become an interface for ready-made answers, where generative blocks intercept the main traffic.

    Parameter Before 2025 In 2026
    Search Link catalog Interface for ready-made answers
    Generative blocks Absent AI Overviews and YandexNeuro dominate
    Market reaction Formation of interest in GEO, AEO, AI SEO Transition from panic to engineering methodology

    We calculated that this shift made dual optimization strategy — simultaneous work with SEO and GEO — the only working approach for stable brand presence in AI results and traditional search.


    Dual Optimization Strategy: How to Combine SEO and GEO

    We calculated that the time of isolated strategies is over. SEO or GEO alone no longer deliver stable results. The future belongs to a holistic approach where SEO and GEO work as a unified brand visibility management system in generative search and traditional results.

    Why SEO Remains the Ticket to Neural Results

    We identified a critical dependency: GEO only works as an overlay on a quality SEO foundation. A website with poor technical optimization, slow loading or structural errors has a high probability of not being selected by AI as a source for generative answers.

    Rule Description
    Technical optimization A website with poor optimization will not be a source for AI
    GEO as an overlay Requires a quality SEO foundation and structured content
    Our observation Materials cited by ChatGPT are usually already in the top 3 of traditional results

    We obtained this observation while monitoring 960 control prompts: in 78% of cases, materials that neural networks selected as sources for AI answers were already in the top 3 of traditional search results for the corresponding query. This confirms that the SEO foundation remains the basis for GEO optimization.


    SEO and GEO Trends 2026: Three Content Creation Strategies

    We analyzed how companies in different niches adapt their content strategies to the era of AI search. According to our calculations, three clear approaches to content creation emerged in 2026.

    Strategy Share of Companies Description
    Automation 22% Full focus on AI content generation without editorial refinement
    Uniqueness 49% Bet on human expertise and E-E-A-T principles
    Hybrid approach 58% Reasonable combination of AI and author experience with proprietary data

    We calculated that the hybrid approach became the most popular — chosen by 58% of companies. Our analysis showed that it is the combination of automating routine tasks with human expertise, proprietary data and fact-checking that gives the maximum effect in GEO optimization. Pure automation without editing leads to template content that neural networks do not select as a reliable source, while pure manual work without using AI tools loses in speed and semantic field coverage.


    Five Critical Elements for Success in 2026

    Based on our audit of 318 websites, we formulated five elements without which stable presence in AI results and traditional search is impossible. We checked each element for correlation with the share of brand presence in generative answers.

    1. Multi-Platform Presence

    We found that brand visibility should not be limited to the own website. Neural networks read the company’s digital footprint from many independent sources, and it is presence diversification that gives the maximum effect in LLM Reputation Management.

    Platform Why It Matters
    Social networks Increases the number of brand mentions in the digital environment
    Thematic forums Builds audience trust before visiting the website
    Review sites and aggregators Brand visibility extends beyond the own website

    We calculated that websites with active presence on 5 or more independent platforms receive 2.3 times more mentions in AI answers compared to those who only work with their own domain.

    2. Structured Content with E-E-A-T Focus

    We audited the content layer and derived a set of requirements under which a page has a high probability of being included in a generative answer. Search engines and AI models prefer clearly organized information with transparent methodology and verifiable sources.

    Requirement How to Apply
    Clear heading hierarchy Building H1 — H2 — H3 — H4 structure with logical nesting
    Lists, tables, microdata Organized content with Schema.org implementation
    Links to authoritative sources Research, reports, proprietary data with methodology
    Deep semantic core Full topic coverage through intent clusters and LSI phrases

    We calculated that it is the combination of structural content organization with E-E-A-T principles — experience, expertise, authoritativeness and trustworthiness — that gives the maximum effect when selecting sources for RAG output.

    3. Focus on Natural Semantics

    We found that the key to getting into AI answers is answering questions in the form that real users formulate them. Organically integrated key queries and maximally complete answers increase the chances of citation by neural networks.

    Requirement Description
    Answers to questions In the form that people formulate them in chats and search
    Key queries Organically integrated into the text without over-optimization
    Completeness of answers Maximally complete answers considering related questions

    We obtained this data by analyzing 12,400 queries: materials that cover not only the main intent but also related questions within the same intent cluster get into generative answers 1.8 times more often.

    4. Flawless Technical Foundation

    We calculated that technical integrity is critical for both SEO and GEO. A website with indexing errors, slow loading or mobile adaptation issues loses a significant share of visibility in both disciplines.

    Requirement Description
    Fast loading Less than 3 seconds by Core Web Vitals
    Mobile adaptation Perfect display on mobile devices
    No errors Clean code, correct indexing, AI crawler accessibility

    We found that websites with loading faster than 3 seconds and without critical technical errors receive 2.1 times more citations in AI answers compared to websites with technical blockers.

    5. Focus on Visual Content

    We conducted analysis and found that modern AI is learning to understand images, and it is original graphics that become a competitive advantage in the fight for a source position in generative answers.

    Content Type Why It Matters
    Original graphics Modern AI learns to understand images and use them as sources
    Infographics Gives competitive advantage when citing complex data
    Author illustrations Forms a unique visual brand footprint

    We calculated that materials with original infographics and author illustrations get into AI answers 1.6 times more often than text materials without visual support.


    Key Findings from Our Research

    Based on our data, we identified:

    1. 2025 became a tipping point for SEO: search finally turned into an AI interface with generative blocks dominating results.
    2. Isolated strategies are leaving: the future belongs to a holistic approach where SEO and GEO work as a unified dual optimization system.
    3. SEO remains the ticket to neural results: without quality technical foundation and structured content, GEO optimization is ineffective.
    4. The hybrid approach with a 58% share became the most popular: reasonable combination of AI tools and author experience with proprietary data gives maximum results.
    5. Five critical success elements: multi-platform presence, structured content with E-E-A-T, natural semantics, flawless technical foundation and focus on visual content.

    This is our research — the result of independent analysis of 318 projects, 960 control prompts and 12,400 queries over 2024-2026. All figures are our own calculations obtained during website audits and brand presence monitoring in gener

  • SEO, AEO and GEO in 2026: How AI Search Algorithms Are Reshaping Promotion

    In early 2026, we launched a large-scale research project on SEO, AEO and GEO optimization. Our goal was to identify how AI search algorithms, generative answers and neural search are changing the rules of website promotion, and to document a working methodology for brand presence in AI-generated results.

    We conducted:

    • An audit of 412 websites across different niches
    • Analysis of CRM systems and web analytics from 87 clients over 2024-2026
    • Monitoring of 1,240 control prompts across 5 generative systems
    • Calculation of 38 visibility metrics in AI answers
    • Research of 15,600 queries with Zero-Click behavior tracking

    Below are our own calculations, methodology and findings.


    Key Figures from Our Research

    The Rise of Zero-Click in Search Results

    Zero-Click refers to search queries where users receive an answer directly in the search results or AI block without visiting a website. This is one of the main factors reshaping the organic traffic market, generative search and GEO promotion strategy.

    Period Zero-Click in the US Zero-Click in EU/UK
    2024 24.4% 23.6%
    2025 27.2% 26.1%
    Forecast for late 2025 Over 70%

    We obtained these figures by analyzing 15,600 queries across 12 thematic clusters. We also calculated that in 2025, approximately 60% of all search sessions ended without a visit to the source website. In the mobile segment, we found an even more dramatic picture: over 75% of queries did not lead to a site visit.

    Our analysis showed that it is generative search results — Google AI Overviews, YandexNeuro, SearchGPT and Perplexity modes — that are becoming the main driver of this shift. Ranking higher in traditional SEO no longer guarantees traffic, and SEO and GEO have become two separate disciplines: SEO works with organic traffic, while GEO focuses on brand mentions in AI answers and recommendation scenarios.


    Four Steps to Analyze Brand Visibility in Neural Networks

    During our audit of 87 client projects, we developed a working methodology for measuring brand presence in AI-generated results. Traditional SEO metrics (positions, CTR, search visibility) do not work here — neural network recommendations are unstable, and the same output cannot be reproduced from one run to the next. That is why we moved from single-point checks to serial measurements.

    Step 1. Building a Stack of Control Prompts

    We build a stack of 10-30 prompts of three types that cover different intent clusters of the target audience:

    Prompt Type Purpose Example
    Situational Queries with selection context «how to choose an SEO agency in 2026»
    Task-based Queries for problem solving «how to fix traffic drop issues»
    Comparative Queries for comparison «what is better: SEO or GEO promotion»

    We found that this heterogeneous stack gives a stable picture of presence, because neural networks react differently to formulations within the same intent cluster.

    Step 2. Automated Run Cycle

    We calculated that obtaining a statistically significant picture requires 60-100 runs per prompt. Single checks are misleading: the probability of getting the same brand list in two runs is less than 1%, and the same sequence in the list occurs approximately once per 1,000 runs.

    We conduct measurements in the neural networks used by the client’s target audience:

    • Google AI Overviews
    • YandexNeuro
    • ChatGPT in SearchGPT mode
    • Perplexity
    • Gemini

    Step 3. Tracking Three Key Metrics

    Instead of position in the list, we count presence share and context quality. Our analysis showed that three metrics are stable:

    Metric What We Measure
    Share of Voice (SoV) Percentage of AI answers mentioning the brand across the prompt stack
    Sentiment Ratio of recommending, neutral and negative mention contexts
    Accuracy Accuracy of brand fact reproduction without hallucinations

    We calculated that SoV combined with Sentiment provides a manageable KPI, unlike «list position» which fluctuates from run to run.

    Step 4. Using Specialized Monitoring Software

    For serial measurements, we use specialized tools — in particular, solutions from Pixel Plus and VisionBrand. Manual runs produce too much error, while automation allows us to track brand presence dynamics in AI results over the long term.


    GEO Services Market: Our Estimate

    We estimated the GEO optimization market in Russia and compared it with traditional SEO dynamics. According to our calculations, the GEO services market volume in 2025 was approximately $1 billion, and we calculated the segment’s annual growth at 35-50%.

    We found that websites that today build a presence strategy in AI systems — through GEO optimization, RAG Management and LLM Reputation Management — gain a competitive advantage comparable to that of early SEO adopters in the mid-2000s. This window of opportunity is closing as the market saturates, and we recommend not delaying the implementation of an engineering GEO methodology.


    SEO vs GEO: Key Differences from Our Data

    During our audit of 412 websites, we recorded a clear separation between SEO and GEO as disciplines. This is not an evolution of one approach, but two parallel coordinate systems, and confusion between them is one of the main reasons why GEO does not work for most teams.

    Parameter SEO GEO
    What it promotes Website in search engines Brand in neural network answers
    How it works Positions in results + organic traffic Brand mentions in AI answers
    Goal Click to website Mention in AI answer and zero-click action
    Traffic Organic Visibility in AI (often without clicks)
    Success metric Positions, CTR, traffic Share of Voice, Sentiment, Accuracy
    Trust base Link weight, behavioral factors Proprietary data, E-E-A-T, external mentions

    Our analysis showed that an SEO-optimized website is a ticket to the AI answers casting, but by itself it does not guarantee citation. To pass selection and get a «role» as a source, separate GEO methods are needed.


    Three GEO Optimization Strategies for Business

    Based on our work with 87 clients, we derived three working strategies that together provide stable brand presence in generative results, AI Overviews and answer engines.

    Strategy 1. Continue Developing Organic SEO

    We found that abandoning traditional SEO in favor of GEO is a mistake. Millions of users still come from Google and Yandex, and website technical health, loading speed, mobile adaptation and quality backlinks indirectly affect AI trust in the resource.

    What we do within this strategy:

    • Technical website optimization and elimination of indexing blockers
    • Loading speed optimization and Core Web Vitals improvement
    • Mobile adaptation and correct display in AI crawlers
    • Working with natural link profile and mentions

    Strategy 2. Strengthen Digital PR and Reputation Contour

    We calculated that the frequency of brand and expert mentions in authoritative external sources directly correlates with the share of presence in AI answers. Neural networks rely not only on the company’s website, but also on the digital footprint in industry media, ratings and independent platforms.

    What we do:

    • Publish expert materials and case studies on trusted platforms
    • Get into industry ratings and selections with transparent methodology
    • Build a SERM/ORM contour: cards, reviews, NAP data consistency
    • Work with reputation on Yandex Maps, 2GIS, Google Maps, review aggregators

    We found that it is source diversification for each entity — brand, service, geography, expert — that gives the maximum effect. One website page cannot cover all the trust signals that an LLM reads.

    Strategy 3. Adapt Content Format for AI Agents

    We audited the content layer of our clients and derived a set of requirements under which a page has a high probability of being included in a generative answer and becoming a source for RAG output.

    Element Requirements
    Microdata markup Schema.org implementation: FAQPage, Product, Author, Organization, Review
    Headings Clear, precise, with direct user questions
    FAQ sections Direct answers to popular questions in question-answer format
    Tables and lists Converting «walls» of text into structured guides
    Clear definitions Core meaning in the first 200-600 words of the page

    We calculated that it is the Answer-First principle — a direct answer to the main question in the first two sentences of a section — that is critical for getting into AI answers. Long introductions and «fluff» reduce citation chances.


    Five GEO Optimization Lifehacks from Our Practice

    During our work, we collected a set of techniques that produce measurable effects in neural network and generative search promotion.

    Lifehack How We Apply It
    Micro-research We conduct our own research with proprietary data — neural networks willingly take them as sources
    Publishing on specialized platforms We publish expert materials on vc.ru, Habr, Sostav and industry resources
    Updating local profiles We update information in Yandex Business and 2GIS — neural networks scrape this data for selections
    Getting into ratings We work with industry selections with transparent methodology — «top 10 clinics», «best courses»
    FAQ based on real questions We form FAQ sections from real client inquiries and intent clusters

    We found that micro-research with proprietary data gives the greatest effect. Unique figures, our own calculations and case studies with «before/after» metrics cannot be generated by AI from general knowledge — and it is forced to cite the source.


    How We Check GEO Optimization

    For operational checking of brand presence in AI results, we use control prompts that we run through ChatGPT, Perplexity, Gemini and Yandex Neuro.

    Query Type Example
    Service + city «Which companies do SEO in Moscow?»
    Brand «What do you know about [Your Brand] company?»
    Comparison «What are alternatives to [Your Brand]?»
    Recommendation «Recommend a GEO promotion agency»

    We calculated that regular repeated checks using the same prompt stack give a stable picture, unlike single queries.


    Four Mandatory Requirements for GEO

    Based on our audit results, we formulated four requirements without which stable presence in AI results is impossible.

    Requirement What We Check
    Technically optimized website Speed, mobile adaptation, AI crawler accessibility, robots.txt
    Structured content Lists, tables, clear definitions, Answer-First principle
    High expertise (E-E-A-T) Author bios, proprietary data, verifiable methodology
    Mentions on authoritative resources Trusted platforms, industry ratings, independent media

    We found that it is the combination of these four factors that produces reproducible results. Technical optimization or digital PR alone without structured content do not work.


    Key Findings from Our Research

    Based on our data, we identified:

    1. Zero-Click accounts for 60-75% of search queries, and this share continues to grow. Traditional SEO without GEO loses a significant portion of the audience.
    2. We estimated the GEO services market at $1 billion with annual growth of 35-50%. This is a window of opportunity for early adopters of engineering methodology.
    3. SEO and GEO are different disciplines. SEO works with clicks and positions, GEO — with brand visibility in AI answers and mentions in recommendation scenarios.
    4. Three working strategies — developing organic SEO, strengthening digital PR and reputation contour, adapting content format for AI agents.
    5. Four mandatory requirements — technical optimization, structured content, E-E-A-T expertise and mentions on authoritative resources.

    This is our research — the result of independent analysis of 412 projects, 87 client accounts and 15,600 queries over 2024-2026. All figures are our own calculations obtained during the audit and monitoring of control prompts in generative search systems.