GEO (Generative Engine Optimization) — is a fundamentally new stage in the development of search engine optimization, emerging in response to the introduction of neural networks into search results. We conduct in-depth technical and semantic optimization of your website so that AI algorithms (Google SGE) recognize your brand as the most authoritative and relevant source of information.
In the modern world of 2026, simply being on a classic link list is no longer enough—it's critical to become that "zero" answer that a neural network instantly generates for the user. Our goal is to ensure your business's leadership in the era of generative search by transforming your content into the foundation upon which AI algorithms build recommendations.
Why it works:
Conversion: The user receives a ready-made solution on your behalf even before visiting the site.
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We examine pages displayed in generative search engine results using external tools, including Ahrefs Brand Radar. We also analyze association themes and brand presence among competitors. Using Google Analytics data, we identify pages that are already driving traffic and conversions from LLM systems.
We check the website structure: hierarchy, navigation, and interlinking. We optimize content: we add lists, tables, FAQs, case studies, and TL;DR sections, and we collect long-tail keywords and semantic markers. We use expert quotes and unique data to enhance the credibility of neural networks.
We analyze brand mentions and increase their number on trusted platforms, social media, and other media outlets. We develop brand and author authority, publish expert content such as case studies, research, and articles, and also work on building the company's online reputation.
Your project is handled by experts with 5+ years of niche experience. We don't delegate tasks to interns—each strategy is overseen by a dedicated specialist who has worked with market leaders in Uzbekistan.
Most clients come to us through referrals. We value our reputation and build processes to ensure the service is as high-quality as the results.
We don't focus on one-time reach. Our goal is long-term partnerships. We grow with your business, constantly optimizing your cost per lead and increasing your profits.
In 2026, we'll be using neural networks for predictive analytics and GEO optimization. This allows us to find target audiences faster and more cost-effectively than traditional agencies.
You see every amount spent in real time. We provide 24/7 access to dashboards and weekly reports on your business's key KPIs.






























You get a new traffic channel—referrals from ChatGPT, Gemini, and other AI assistants. At the same time, your website's quality improves, which positively impacts Google and Yandex rankings and increases conversions. GEO uses only white hat methods, without manipulation—no risks to your website.
These factors are similar to SEO, but require a more in-depth approach for neural networks: clear content structure, domain authority, expert articles with attribution, regular content updates, and proper microdata. Neural networks analyze quality and expertise more deeply than search engines.
The main metric is the number of clicks from neural networks, which are tracked through Yandex.Metrica. We also conduct manual analysis: we check ChatGPT and other AI responses to target queries, recording mentions and recommendations of your website.
On average, it takes six months, but the timeframe depends on the niche and the current state of the website. It's important to understand that results are influenced by dozens of factors and the random element in AI algorithms. It's possible that competitors have appeared in search results earlier and are maintaining their positions, which will require more time.
Yes, combining GEO with traditional SEO, link building, and contextual advertising enhances the effectiveness of all channels. This synergy of methods reduces the time it takes to get into AI recommendations while simultaneously improving search engine rankings.
GEO and SEO have different goals, but they share similar optimization tools. Integrating them is easy, and in fact, highly recommended. The optimal combination: GEO focuses on expert informational content and authority, while SEO focuses on commercial optimization and conversions. Some work can be combined to save money.
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Поисковое поведение потребителей в Ташкенте в 2026–2027 годах кардинально изменилось. Классическая поисковая выдача из 10 синих ссылок больше не является единственным источником коммерческого трафика.
Спрос распределился по двум новым мощным каналам:
Если вашего бизнеса нет в блоке карт и база знаний нейросетей не содержит структурированных данных о вашей компании, вы добровольно отдаете до 70% наиболее горячих клиентов конкурентам.
Вывод компании в ТОП-3 локальной выдачи Google Business Profile и Яндекс.Бизнес в Ташкенте — это инженерная задача по синхронизации цифрового следа.
Стратегия локальной монополизации от KelyanMedia:
Оптимизация под модели ИИ (Large Language Model Optimization) — это абсолютно новый стандарт поискового маркетинга. Нейросети собирают информацию о бизнесе со всей цифровой экосистемы, формируя связный Граф Знаний (Knowledge Graph).
Как KelyanMedia выстраивает авторитет для ИИ-ассистентов:
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Параметр оценки |
Классическое SEO (Прошлый подход) |
GEO & AI SEO 3.0 от KelyanMedia |
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Основной канал |
Только текстовая выдача Google/Яндекс |
Google Maps, Яндекс.Карты, 2ГИС, ChatGPT, Gemini |
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Тип выдачи |
10 синих ссылок на странице |
Блок Local 3-Pack, метки на карте, готовые ИИ-ответы |
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Фокус оптимизации |
Ключевые слова в тексте |
Цифровая сущность (Entity), NAP-данные, E-E-A-T |
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Работа с репутацией |
Закупка ссылок на биржах |
SERM, управление отзывами, цифровой PR в Узбекистане |
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Индексация для ИИ |
Не учитывается |
Внедрение файлов llms.txt и микроразметки Schema.org |
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Конверсия из просмотра |
Средняя (0.5% – 2%) |
Высочайшая (20% – 40% на картах и в ИИ) |
GEO-оптимизация и продвижение под нейросети дают наивысшую окупаемость (ROMI) для бизнеса, имеющего локальное присутствие или работающего в конкурентных коммерческих сегментах: