There has been a major shift in how consumers look for recommendations. They used to type into Google, scan the top ten links, and pick one. Now they ask AI and get a single, already-curated answer. The difference sounds small, but its implications for brands are huge.
From ten options to one recommendation
On a Google results page, brands can compete for ten top positions. In an AI answer, often only one or two brands get named at all. This is no longer about who is on page one, it is about who gets mentioned in the first place.
A number that cannot be ignored
Based on data we have collected, more than 2.4 million product- and service-recommendation questions are sent to popular AI engines every month. The most active categories: food, fashion, technology, finance, and health. If your business sits in one of these categories, your prospective customers are very likely already asking AI for a recommendation, and getting a competitor's name back.
Fratello — GEO Platform
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Brands that have not built a strong digital reputation are the most exposed. AI engines learn from whatever data is available: articles, reviews, forum mentions, and official content. A brand with a thin digital footprint becomes "invisible" to AI, not because the product is bad, but because there simply is not enough information to learn from.
A window of opportunity that is still open
The good news: the GEO ecosystem is still very young. Most brands have not measured their AI visibility yet, let alone optimized it. That means brands that move now can build a strong position before competition heats up. In the SEO world, early movers enjoyed an advantage that lasted years. GEO could play out the same way.
What should you do?
The first step is measurement. You cannot optimize something you do not measure. Start by finding out how often your brand is mentioned, in what context, and on which AI engine. That data is what a proper strategy gets built on.