ChatGPT, Perplexity, Google AI: same question, different recommendation

Whoever tests whether their own company appears in AI often makes one mistake: they ask only one system. But ChatGPT, Perplexity and Google AI draw their answers from different sources — the same question yields a different recommendation list depending on the engine. Visible on ChatGPT doesn't mean visible on Perplexity.

Why the lists diverge

Each engine weights sources differently: Perplexity heavily cites current web content and directories, ChatGPT relies on its training knowledge plus web search, Google AI on its own index and the Knowledge Graph. Accordingly, it's not enough to be visible "in AI" — what matters is in which.

Consequence: one platform isn't enough

Whoever checks their visibility on only one engine systematically overlooks the gaps on the others. That's why Surfaced measures each of the 17 test questions across four AI engines simultaneously — ChatGPT, Perplexity, Google AI and Claude — and evaluates the 68 answers together. Only this cross-section shows where a company really stands.