Technical access
AI search services must be able to fetch your pages. We check robots.txt, speed and code for obstacles to their crawlers.
More and more people ask an AI instead of a search engine. We make sure ChatGPT, Gemini, Perplexity and Google's AI Overviews know your business, describe it correctly and recommend it.
AI search services must be able to fetch your pages. We check robots.txt, speed and code for obstacles to their crawlers.
Who you are, what you offer, where and for whom – written and structured so language models can cite it unambiguously.
Schema.org markup for organization, services, products, people and FAQs.
AI systems trust sources others cite. We strengthen your presence in directories, industry portals and reviews.
People with a question increasingly get a finished answer instead of ten blue links. Google shows AI Overviews above the results, ChatGPT and Perplexity search the web and summarize, and Gemini and Copilot are built into phones and office software. For businesses this means: page one on Google is no longer enough. You need to appear in AI answers too.
AI systems base their answers on sources they consider trustworthy and unambiguous. Businesses with contradictory information, thin content or hard-to-read websites are mentioned less often – or described incorrectly.
We ask ChatGPT, Gemini, Perplexity and Google the questions your customers would ask and document whether you are mentioned, how you are described and which sources the AI draws on.
Many AI services use their own crawlers, such as OpenAI's OAI-SearchBot or PerplexityBot. We check whether your robots.txt, firewall or cookie banner block them, whether key content is readable without JavaScript and whether pages load fast enough.
AI systems love clear statements: who offers what, where, for whom and on what terms. We rework your key pages so facts are unambiguous, current and well organized – with precise headings, lists, tables and answers to common questions.
With Schema.org markup we describe your business, services, products and people in machine-readable form. Name, address, founding year and services must match everywhere: on your website, your Google Business Profile, in directories and on social networks.
“With us, you talk directly to the person who builds your project – no sales layer in between.”
A classic search shows ten links, and users decide for themselves. An AI assistant summarizes instead and names only a few sources or providers. Being mentioned there builds trust – being absent means not being noticed at all. That is why AI answers reward:
Nobody can guarantee that an AI will mention your business. The systems change quickly and their answers vary. What reliably works are the same things that count on Google: a fast, clean website, helpful content and a good reputation. That's why AI SEO is strongest combined with classic SEO.
Tick what applies to you.
Not sure yet? In a free intro call we find out whether it pays off for you.
Discuss your projectFind more answers in our FAQ.
GEO stands for generative engine optimization: optimizing content for AI systems that write answers instead of listing links – such as ChatGPT, Gemini, Perplexity, Microsoft Copilot and Google's AI Overviews.
No. The foundations are the same: a technically clean site, helpful content and a good reputation. What's new is that content must be even clearer, more factual and better structured for an AI to cite it.
Partly. Visits from chatgpt.com, perplexity.ai or gemini.google.com show up in Google Analytics. We also regularly test typical customer questions in the main AI services and document whether and how you are mentioned.
It's a trade-off. Blocking OpenAI's search crawler, for example, keeps your current content out of ChatGPT search. You can control model training and search use separately; we advise on the right settings.
llms.txt is a proposed file that gives language models an overview of your key content. It is not an official standard and isn't respected by every service. It doesn't hurt, but it doesn't replace a good website.
That cannot be predicted precisely. AI models are updated at different intervals, and answers with web search draw on current content. We improve the foundations and regularly observe how the answers develop.
Usually not. Most of the work lies in clarifying key facts, improving the structure of important pages and adding structured data. We start where the effect is greatest.
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