Be the first to be
recommended by AI
Traditional SEO is dying. Your clients are already seeking answers in ChatGPT, Claude, and Perplexity. We create JSON-LD architecture, thanks to which neural networks perceive your brand as the main primary source.
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Getting into Direct Answers ChatGPT, Perplexity and Claude
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Technical semantic markup (Knowledge Graph)
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Adaptation to the new release of Google AI Overviews
Why is this critical right now?
Traditional SEO is losing traffic
Users no longer click links — they receive ready answers directly in ChatGPT or Perplexity.
LLM does not see your brand
If your website does not have proper semantic JSON-LD markup, neural networks simply ignore your services.
Competitors Are Already There
While you are buying links for Google, competitors are capturing the display in AI Overviews (SGE) and becoming the primary source.
What does it give to business?
Why is the implementation of this technology taking off in the first months.
Visibility in ChatGPT
Your brand is mentioned as an expert source in direct responses to client queries via neural networks
JSON-LD Architecture
Special semantic micro-markup, which allows AI to understand your services on 100% without errors.
AI Overviews (SGE)
Optimization for the new Google search results, where AI-generated content dominates over regular websites.
Improvement of trust (E-E-A-T)
Formation of Knowledge Graph, which increases brand authority in the eyes of algorithms and LLM.
Native Recommendations
Your products are recommended by users as the best solution in the conversational interface of Claude or GPT.
Strategic Advantage
Acquiring AI-issuance now is like SEO in 2010 years. You become a monopolist in your niche.
How We Implement It
No magic. Just a clear engineering process
Semantic AI Audit: analysis of the current visibility of your brand in ChatGPT, Claude and Perplexity.
Design of Knowledge Graph: creation of entity map (Entities) of your business.
Implementation of JSON-LD: writing and integration of technical code for markup on all website pages.
Content optimization: reformatting texts for LLM algorithms (vector search and RAG).
Creation of Entity Pages: development of special reference pages, which ideally "align" with neural networks.
Monitoring and Indexing: tracking changes in AI output and adjusting markup.
Frequently asked questions
What is AEO and how does it differ from SEO?
SEO optimises a website for search engines (Google), while AEO optimises it for AI systems (ChatGPT, Perplexity) that provide direct answers instead of just a list of links.
How Much Time Is Needed for Results?
Changes in the architecture are usually indexed by LLM agents within 4-8 weeks after updating the database.
Will AEO affect my existing Google traffic?
Yes, but exclusively positively. Implementation of Knowledge Graph and Entity Pages is one of the strongest ranking factors for Google E-E-A-T algorithms.
How do you measure effectiveness?
We use specialized SH-issuance trackers, analyze bot request logs (OpenAIBot, ClaudeBot) to your server and track direct brand mentions in responses.
What technologies do you use for tagging?
We work with clean JSON-LD, micromarkup Schema.org (especially Service, Organization, FAQPage), and also create custom vector databases for RAG systems.
Ready for Implementation?
Describe your task. We will conduct a free audit and propose an AI solution architecture specifically for your business.