How similar are chatbot sources?

A Venn diagram showing overlap percentages of sources across three chatbots: Perplexity, Gemini, and ChatGPT. Shared sources: 4.57% across all three, 13.7% between Perplexity and Gemini, 2.28% between Perplexity and ChatGPT, 1.91% between Gemini and ChatGP

At Turbine, we analyze how brands show up in AI search across ChatGPT, Gemini, and Perplexity. When you ask a question like “What are the best trail running shoes?”, the recommendations and sources each chatbot cites can vary a lot.

What we found

We studied 1,000+ prompts and measured how often the same sources appeared across the three most popular chatbots:

  • 4.57% of sources appear in all three: ChatGPT, Gemini, and Perplexity
  • 13.70% appear in both Perplexity and Gemini
  • 2.28% appear in both Perplexity and ChatGPT
  • 1.91% appear in both Gemini and ChatGPT
  • The rest are unique to a single chatbot

Why it matters for brands

The data shows that most sources are unique to one chatbot. That means if you want your brand to be consistently recommended in AI search results, you can’t rely on a single strategy.

Bottom line: You need a tailored approach for each chatbot to make sure your brand is cited across ChatGPT, Gemini, and Perplexity.

FAQ

Do ChatGPT, Gemini, and Perplexity use the same sources?

No. Our analysis of 1,000+ prompts shows that only 4.57% of sources overlap across all three chatbots.

Why is source overlap important for brands?

Because most sources are unique to each chatbot, brands need tailored strategies to ensure visibility across AI search results.

How can I make sure my brand is cited in multiple chatbots?

By monitoring AI search visibility and optimizing content specifically for ChatGPT, Gemini, and Perplexity rather than relying on a single approach.

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