{"id":12661,"date":"2026-06-18T15:39:54","date_gmt":"2026-06-18T13:39:54","guid":{"rendered":"http:\/\/legacy-12661"},"modified":"2026-10-15T23:34:45","modified_gmt":"2026-10-15T21:34:45","slug":"geo-in-practice-most-important-measures","status":"publish","type":"post","link":"https:\/\/kloos.vonblock.com\/en\/blog\/geo-in-practice-most-important-measures\/","title":{"rendered":"GEO in Practice: The 3 Most Important Steps"},"content":{"rendered":"\n
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If you want to be visible in AI answers, you should invest in Generative Engine Optimization (GEO). This naturally raises the question: What specific steps can I take to ensure my brand is mentioned or my website is cited as a source?<\/strong><\/p>\n\n\n\n

The good news is that GEO isn\u2019t something entirely new. Rather, it\u2019s an evolution of SEO<\/strong>. Without solid search engine optimization, there\u2019s no visibility in AI systems<\/a>. That\u2019s because Google AI Overviews, Perplexity, ChatGPT Search, and Gemini with web access rely on content that\u2019s crawlable, indexed, and well-structured. Otherwise, a page can\u2019t be found by AI systems and can\u2019t be used as a source.<\/p>\n\n\n\n

Building on SEO, GEO is therefore about preparing content in such a way that it not only works for classic search rankings, but can also be used by AI systems.<\/p>\n\n\n\n

What\u2019s Changing\u2014and What Isn\u2019t<\/h2>\n\n\n\n

Before you can get started with GEO<\/a>, the SEO fundamentals<\/a>\u00a0need to be in place: crawling and indexing, structured data, a clear website structure and clean navigation, quality content, backlinks, and E-E-A-T remain just as important as ever.<\/p>\n\n\n\n

What\u2019s new with GEO is that tracking moves <\/strong>to an earlier stage of the process. In traditional search engine optimization, tracking comes at the end: You monitor how rankings for defined search terms evolve, and how these rankings impact traffic and conversions. The data is then analysed and the strategy adjusted accordingly.<\/p>\n\n\n\n

With GEO, tracking comes right at the beginning: First, we conduct an impact analysis to determine how much traffic has been lost due to AI Overviews<\/a>. We evaluate how present the brand is in AI chatbots with regard to defined topics and prompts. And we look at sentiment: Are our products or services perceived more positively or negatively? What information does AI have about us? So tracking is set up first, then the data is analysed and a strategy is derived from it.<\/p>\n\n\n\n

But tracking isn\u2019t the only change. With GEO<\/a>, keywords become prompts, content needs to be quotable, and off-page signals are regaining importance. We\u2019ll take a closer look at these three points in the next chapter.<\/p>\n\n\n\n

3 GEO Strategies You Can Implement Right Now<\/h2>\n\n\n\n

Step 1: Prompts Instead of Keywords<\/h3>\n\n\n\n

Traditional search engine optimization starts with keyword research<\/a>. We analyze search volume, search intent<\/a>, competition, and ranking potential. With GEO, this is only possible to a limited extent because we don\u2019t have any data.<\/p>\n\n\n\n

OpenAI, Perplexity, Google, and other providers do not publish data on prompts. This means we don’t know how often a specific question is asked in ChatGPT.<\/p>\n\n\n\n

In addition, wording<\/strong> is becoming more important again. While Google has become increasingly better in recent years at combining different spellings, synonyms, and paraphrases and understanding the intent behind them, AI systems respond much more strongly to the context and tone of a question.<\/p>\n\n\n\n

Google has always emphasized that it does not want to create filter bubbles<\/strong> and aims to show different perspectives (even though search results are, of course, influenced by factors such as location, language, device, and search history). In its results, the search engine giant not only offers a certain balance in terms of content type\u2014product pages, informational articles, news, videos, comparison sites, and providers\u2014but also strives for balance in terms of sentiment and opinions.<\/p>\n\n\n\n

AI search works quite differently: It\u2019s not about maintaining a certain degree of neutrality, but rather about maximum personalization<\/strong>.<\/p>\n\n\n\n

For example, on Google, I get very similar answers to the following two questions:<\/p>\n\n\n\n