Optimization for Google AI Overview
Structuring content so Google AI Overview cites your website in zero-click answers and voice search results, bold definitions, FAQ schema, citation-worthy format.
We prepare your content so ChatGPT, Perplexity and Google AI recognise and cite it, and we bring AI tools where your team gains the most: replies, reports and routine work.
We introduce AI thoughtfully and responsibly, with clear rules and quality control.




The AI revolution changes both how people find you and how your team works. We cover both aspects, optimization for AI search engines and integration of AI into business processes.
Structuring content so Google AI Overview cites your website in zero-click answers and voice search results, bold definitions, FAQ schema, citation-worthy format.
Implementation of llms.txt, structured data, and content format that LLM models recognize as an authoritative source of information.
Advanced schema markup (FAQ, HowTo, Service, LocalBusiness) that enables AI systems to understand and precisely cite your content.
n8n and Make workflows for automatic inquiry processing, AI chatbot for guests, email classification, report generation, and connecting with CRM and booking systems.
Connecting AI models with your CRM, booking platform, or internal portals, smart auto-responses, suggestions, and analytics.
Automated reports using AI for trend analysis, demand prediction, and opportunity identification, instead of manual digging through spreadsheets.
We don't do AI optimization as a one-time action. The goal is for your website to be visible in AI search engines and for your team to use AI in daily work, with measurable results.
We analyze how your website stands in AI search engines (Google AI Overview, ChatGPT, Perplexity), review schema markup, content structure, and identify processes that AI can automate.
We implement llms.txt, optimize schema markup, restructure content for citation-worthy format, and set up AI automation for key business processes.
We monitor visibility in AI search engines, measure automation efficiency, and iterate based on real data, because the AI ecosystem changes rapidly.
AI optimization gets you visible in new search engines, but organic growth and a strong web foundation are what keep it going.
Classic SEO and AI optimization support each other: the same content that ranks on Google often gets cited in AI answers.
More about SEO optimization → →A site with the right technical structure, schema markup, and fast load times is a prerequisite for good AI visibility.
More about web development → →„I want to thank you very much for your service and help with Google and websites, I simply warmly recommend you! Thank you once again... to all of you!“
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The scope depends on website size, number of processes to automate, and depth of AI integration. These are the ranges most engagements fall into.
Analysis of visibility in AI search engines, review of schema markup, content structure, and identification of automation opportunities.
Typically in the range of 300-800 EUR one-time.
Implementation of llms.txt, schema markup optimization, content restructuring for AI search engines, and setting up initial automation.
Typically in the range of 1,500-4,000 EUR, depending on website size.
Monthly AI visibility monitoring, content iteration, development of new automation, and integration of AI tools into business processes.
Retainer models typically 600-1,500 EUR per month.
The final proposal is defined after an AI audit of your website and understanding the key processes you want to automate.
Request a quote for your projectAEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) are approaches that optimize your content so AI systems like ChatGPT, Perplexity, and Google AI Overview recognize, understand, and cite it as a relevant source.
No, AI optimization builds on top of traditional SEO. Good SEO is still the foundation, but if your content isn't structured for AI crawlers, you're missing a growing share of traffic that comes through AI answers.
llms.txt is a standardized file that gives AI models a structured overview of your website, similar to robots.txt for traditional search engines. It helps AI systems better understand your content and context.
We most commonly automate: classifying and routing inquiries, auto-responding to standard questions, generating reports, syncing data between systems, and predicting demand based on historical data.
Technical changes (schema, llms.txt) are recognized by AI search engines within 2-4 weeks. Automation delivers results immediately upon implementation. Full effects on AI visibility are typically seen after 2-3 months.
Absolutely. AI search engines don't look at company size, but at content quality and structure. A smaller business with well-structured content can be cited ahead of large companies that haven't optimized for AI.
Send us your website address and tell us where your team spends the most time. We will suggest the first steps.