"Getting recommended by AI platforms comes down to the same trust signals that have always mattered. However, teams are making preventable mistakes by treating generative engine optimization like an exotic new discipline."
"Flooding the internet with AI-generated content and hoping nobody notices is a common mistake. Google penalizes large volumes of low-value pages, which can lead to a collapse in organic visibility."
"Many teams are tracking their GEO performance with dashboard numbers that don't connect to anything real, leading to misguided strategies and ineffective outcomes."
Brands are increasingly seeking recommendations from AI platforms like ChatGPT and Claude, which are becoming primary sources for product evaluations. However, many teams are making critical errors in their approach to generative engine optimization (GEO). Common mistakes include overproducing AI-generated content, focusing on citations rather than genuine mentions, and failing to connect GEO performance metrics to real outcomes. These missteps can lead to penalties from search engines and diminished organic visibility, undermining the credibility that GEO is meant to enhance.
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