Core Web Vitals in plain English: what affects LCP, INP and CLS, what usually goes wrong, and the fixes that actually move each metric.
Read post →Maximize your visibility for AI-powered search engines like Perplexity, ChatGPT Search and Google AI Overviews and benefit early from the new search era.
With GEO, your brand becomes visible directly in AI answers. Instead of laboriously chasing rankings, you reach your audience exactly where they search for concrete solutions.
Direct answers from an AI are highly trusted. The right optimization positions you as the go-to expert source in your niche.
Traffic from AI sources is highly pre-qualified. People who ask an AI for specific, detailed solutions usually have clear buying intent.
Search no longer ends at Google. With Generative Engine Optimization your brand also appears in the answers of ChatGPT, Gemini and Perplexity, exactly where buying decisions begin today. That's how you become the source the AI recommends.
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Preparing your website specifically for AI search engines ensures models like ChatGPT fully understand your content and recommend you as a trustworthy source.
A check of how ChatGPT, Perplexity & Co. currently perceive and cite your brand and content — and what's missing.
Building content that AI models recognize as a trustworthy source and actively recommend.
Structured data and clear semantic architecture — so LLMs understand and use your content correctly.
Ongoing monitoring of your visibility in AI answers with regular adjustment of the strategy.
A clear action plan for your GEO positioning — prioritized by impact and realistically implementable.
In-depth analysis of your existing content for LLM readability and semantic structure.
Targeted enrichment of your copy with unambiguous entities and facts that vector databases can process optimally.
Building a structured data model that links all company data for the AI.
Continuous monitoring of your own visibility and references in LLMs.
Building a network of trustworthy sources that AI models prefer to rely on.
Detailed reports on share of voice and mention quality in AI answers.
Which LLMs are relevant for your industry?
In-depth analysis of the current response patterns of the AI models.
Step-by-step optimization of on-page and off-page factors.
Continuous adjustment to new model updates and algorithms.
AI models read fundamentally differently from humans. Semantic clarity and a logical structure make sure the AI doesn't hallucinate the wrong context and recognizes your real strengths instead.
Vector databases search for concepts, not just keywords. Enriching your copy with crystal-clear, machine-readable entities maximizes relevance for complex user queries.
Isolated data is often ignored by the AI. A robust knowledge graph links the company data together, so AI models understand the relationships between products, services and your expertise.
What can't be measured can't be optimized. Precise monitoring makes visible how often and in what exact context your brand is mentioned in the generative answers of ChatGPT & Co.
In AI search, it's not the quick click that counts, it's the trusted citation. Strategic placements in authoritative sources make sure LLMs use you as a reference.
Let's discuss your current setup and identify the low-hanging fruit.
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Core Web Vitals in plain English: what affects LCP, INP and CLS, what usually goes wrong, and the fixes that actually move each metric.
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