Since we started working with dozens of Indonesian brands, we have seen the same mistake pattern show up again and again. None of these are fatal on their own, but each one significantly slows down AI visibility growth. Recognize these mistakes before you fall into the same trap.
Mistake 1: Focusing on only one AI engine
Many brands optimize only for ChatGPT because it is the most popular. But Gemini, Perplexity, and Claude each have a significant user base and a different way of selecting information. An effective GEO strategy has to cover all the major engines, since every consumer has a different AI preference.
Mistake 2: Ignoring negative reviews
AI does not only read positive reviews, it processes all available data, including negative reviews that never got a response. A brand that leaves negative reviews unanswered sends a bad signal to AI engines. Every negative review deserves a professional, constructive response, which can actually become a positive signal about your brand's customer service quality.
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Try it free →Mistake 3: Content that is too promotional
AI engines are very good at detecting overly promotional or non-objective content. Content that is 90% self-praise about the product is almost never cited by AI. Content that gets cited more often is content that provides educational value, compares options honestly, or helps consumers make a better decision.
Mistake 4: Inconsistent content production
GEO is not a sprint, it is a marathon. Many brands start strong, producing a burst of content in one month, then stop because they do not see instant results. But AI prioritizes brands that stay consistently active over time. One quality article a week, every week, beats ten articles at once followed by two months of silence.
Mistake 5: Not measuring the results
The most expensive mistake is running GEO activity without measuring whether AI visibility actually improves. Without data, you do not know what is working and what is not. This is the core reason Fratello exists, to provide quantitative AI visibility data so brands can make decisions based on facts, not assumptions.