Web & SoftwareGEO

Generative Engine Optimization

GEO

Generative Engine Optimization (GEO) is the systematic optimization of web content so that AI-powered search engines like ChatGPT, Perplexity, and Google AI Overviews cite and recommend it. Unlike traditional SEO, GEO does not target rankings in link lists but aims for mentions in generated answers — the new homepage of the internet.

Why does this matter?

Already 25% of search queries are answered by AI engines without users visiting a website. Companies absent from these answers lose visibility to competitors. For DACH businesses, now is the ideal time to build GEO — before the market is saturated and competitors catch up.

How IJONIS uses this

We combine technical LLM understanding with structured data, Schema.org markup, and llms.txt implementation. Our GEO approach includes entity optimization, citability audits, and continuous AI Share of Voice monitoring — ensuring your brand is present in AI-generated answers.

Frequently Asked Questions

What is the difference between SEO and GEO?

SEO optimizes for traditional search engine rankings — your goal is position 1 in the link list. GEO optimizes for AI search engines to cite and recommend your content. SEO asks: "How do I rank?" — GEO asks: "How do I get cited?" Both disciplines complement each other but require different strategies.

Do I need GEO if I already do SEO?

Yes — because AI search engines evaluate content by different criteria than Google. Good SEO is a solid foundation, but GEO additionally requires: structured data for LLMs, entity signals, high citability, and a clear brand identity that AI models can recognize and recommend.

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