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AI search isn’t just about keywords — it’s about semantics around your brand. And those semantics differ across chatbots like ChatGPT, Gemini, and Perplexity.
When these AI models recommend products, they rely on their training data plus what they find online: websites, Wikipedia, Reddit, media, reviews, and forums. Brands that appear most often are those with semantics most relevant to the query.
Our analysis of thousands of chatbot responses shows:
Takeaway: Each chatbot interprets brand semantics differently. To ensure visibility, you need strategies tailored to each platform — a one-size-fits-all approach won’t cut it.
Each chatbot interprets semantics differently, depending on its training data and the online sources it crawls.
Only about 21% overlap — most brand semantics are unique to each chatbot.
By optimizing brand presence across diverse sources like websites, media, forums, and reviews, and tailoring strategies to each chatbot.
