AI SEO is a strategic approach to optimizing your website using artificial intelligence technologies. We use AI to create high-quality content, develop meta tags, semantic core, and even images. This helps improve both your website’s visibility in traditional search engines and its adaptation to neural networks like Google Gemini, Yandex GPT, and others.
Key elements of AI SEO:
Each project is unique, so there is no fixed price. The cost largely depends on the target region, competition level, and the specific focus of the project.
From 800$
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The cost of AI SEO depends on the current state of the website, the scope of work, and the specifics of your business. We analyze the website, create and optimize content using AI, develop the semantic core, and perform technical optimization. The cost can vary depending on the complexity of the site (e-commerce, corporate websites), the amount of content, and the frequency of work. We offer flexible packages, including starter, advanced, and full options.
AI SEO requires time to achieve stable results. The optimal duration is 6-12 months for consistent growth in visibility and interaction with neural networks. For larger websites and competitive niches, it is recommended to use the service for 1 year or more for continuous optimization and content updates.
While traditional SEO metrics such as traffic and rankings remain important, with AI SEO it is crucial to track metrics such as:
Neural network responses may not always be directly measurable through traditional metrics, but we monitor their impact through content indexing, mentions, and citations on external resources.
If your goal is to increase citations and mentions of your website across neural networks, GEO promotion is the right choice for you. It helps you become more visible on external platforms and in neural network responses.
However, if your goal is content optimization and improving your website’s visibility using AI, then AI SEO is what you need. We use AI to create and optimize content, improving your website’s rankings and making it more adaptable to neural networks.



























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