{"id":12639,"date":"2026-06-18T15:37:21","date_gmt":"2026-06-18T13:37:21","guid":{"rendered":"http:\/\/legacy-12639"},"modified":"2026-10-15T23:34:46","modified_gmt":"2026-10-15T21:34:46","slug":"geo-three-big-opportunities","status":"publish","type":"post","link":"https:\/\/kloos.vonblock.com\/en\/blog\/geo-three-big-opportunities\/","title":{"rendered":"GEO: 3 Major Opportunities for Greater Visibility in AI Responses"},"content":{"rendered":"\n
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The era in which we received a lot of traffic from Google is over. So is the era of traditional search engines with the familiar 10 blue links. But how do we deal with this? How do we optimize websites when the search results page is increasingly being replaced by an AI-generated answer? And what does visibility<\/a> even mean when users get the answer without clicking on a search result?<\/p>\n\n\n\n

This is exactly where GEO<\/a> comes into play. GEO stands for Generative Engine Optimization. Some call it LLMO, AI SEO, AEO, or Relevance Engineering. The name itself is secondary. What matters is how brands, products, and content become visible in generative AI systems<\/strong>. Because even though clicks from AI Overviews<\/a>, ChatGPT, Gemini, or Perplexity currently do little to compensate for the lost Google traffic, new opportunities are emerging elsewhere.<\/p>\n\n\n\n

3 Areas with Potential<\/h2>\n\n\n\n

While clicks from organic traffic are declining, we see 3 areas with particular potential for website operators:<\/p>\n\n\n\n

Opportunity 1: Be Present Early<\/h3>\n\n\n\n

One of the best SEO strategies of the past 10 years has been optimizing for informational search queries<\/strong>. Early in the decision-making process, users search for possible solutions, compare pros and cons, and gather information. This was exactly where companies could build visibility, establish trust, and later drive conversions with helpful content.<\/p>\n\n\n\n

This research phase hasn\u2019t disappeared\u2014but it has shifted. More and more people are asking their initial questions not on Google, but through AI chatbots. To gather information, users no longer need to visit websites and read the content there. They get an initial overview directly from AI<\/strong>. They only turn to Google when it comes to comparing prices and making a purchase.<\/p>\n\n\n\n

At first glance, this is troubling for website operators because it results in fewer clicks. At the same time, many users arrive at the website significantly better informed when they do eventually click through.<\/p>\n\n\n\n

We\u2019re seeing this pattern more and more often in analytics data: Traffic is declining, but the conversion rate is rising. So fewer visitors don\u2019t automatically mean less business. The key factor is whether the brand has already been on the customer\u2019s radar during the decision-making phase<\/strong>.<\/p>\n\n\n\n

An example:<\/strong> Someone is considering switching from a car to a bike more often in everyday life. In the past, this person would likely have conducted several Google searches, read blog posts, compared reviews, and worked their way step by step toward a purchase decision.<\/p>\n\n\n\n

Today, research using an AI system might look like this: The person first asks, in general terms, whether a bike can be a real alternative to a car for everyday use. Then they ask which type of bike is suitable for roads, forest trails, and gravel tracks. At this point, a gravel bike might come up for the first time. In the next step, the potential customer asks about good brands for gravel bikes. This is where it becomes relevant for manufacturers: Is their own brand mentioned or not?<\/p>\n\n\n\n

The more specific the decision becomes, the more classic search channels like Google or YouTube come back into play: reviews, first-hand user experiences, price comparisons, and purchases typically still happen via Google.<\/p>\n\n\n\n

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This creates a major opportunity: with GEO, I can be present early in the customer journey<\/strong> \u2014 exactly where users make their decision.<\/p>\n\n\n\n

Opportunity 2: Small Players Benefit from the Fan-Out Principle<\/h3>\n\n\n\n

GEO gives small brands the opportunity to gain attention in a market dominated by big brands.<\/p>\n\n\n\n

The reason for this is the so-called query fan-out. In the past, a search query was sent directly to the index. For the keyword or prompt \u201cwhat are the best running shoes,\u201d there would then be a search results page dominated by strong domains, large online shops, and well-known brands. Today, AI intervenes in three steps:<\/p>\n\n\n\n