Is Checking ChatGPT Enough? We Tested One Brand Across Four AI Engines and Found a Gap of More Than 3x

“I checked with a tool, and ChatGPT doesn't mention us.” It sounds like a conclusion, but it only answers a quarter of the question.

One brand, four engines: the measured gap

Here are the per-platform results from two of our own scans. They are two different scans: the first row is our August 17, 2026 scan of TriloAI, the second our August 23 scan of GEO by TriloAI, which did not include Google AI Overviews. The brands, questions and platform sets differ, so don't compare the rows with each other; compare the platforms within each row:

In the first set, Gemini came in at 1.5x ChatGPT, while Perplexity and Google AI Overviews were both at 0. In the second set, Gemini was three times ChatGPT. Had you checked only Perplexity, the first brand would look like it doesn't exist; check only Gemini and it looks reasonably healthy. Same scan, same questions: switch the platform and the conclusion changes.

This isn't about whose measurement is more accurate — all four numbers are correct. They reflect four systems, each with its own independent retrieval and ranking logic.

Why the gap is so large

• Different retrieval sources. Perplexity leans heavily on live web search, ChatGPT blends training memory with live browsing, and Gemini runs on its own index.
• Different answer length and structure. Some engines tend to list several brands, others tend to give a single recommendation — so the odds of being included vary enormously.
• Different refresh cycles. When you change your site, each engine re-crawls it at a different time, so short-term results naturally fall out of sync.

An even easier mix-up: Google has three AI surfaces

Many people assume Google's AI is one system. In reality there are at least three independent surfaces, each citing different sources and giving different answers:

We've run into this ourselves: one scan showed 0% on Google AI Overviews, yet during the same period we were included in the recommendation list in Google's AI Mode answers. There's no contradiction — they are simply different systems.

So when someone says “I saw you on Google's AI,” it's worth asking which surface they mean.

The wrong calls you make by watching only one engine

1. Misreading where you stand: seeing 0% and concluding you have no visibility at all, when you may be doing well on another platform.
2. Misreading results: deciding a change didn't work because one engine hasn't moved, while other engines may already be citing you.
3. Misreading the competition: each engine surfaces a different set of competitors, so watching one means missing your real rivals.
4. Misreading where to invest: engines don't weigh exactly the same signals, so optimizing for one engine's preferences can mean a lot of effort for little return.

Do you have to check all of them

The practical advice: cover at least two engines whose retrieval logic differs significantly. If you can only pick two, ChatGPT plus an engine that relies heavily on live retrieval (such as Perplexity) usually reveals the most — the first reflects model memory, the second reflects how citable your web content is right now.

But if the report is going to a client or a manager, any missing major platform will get questioned. That's why every full analysis we run covers five platforms by default: ChatGPT, Gemini, Perplexity, Google AI Overviews and Claude. (For the China market, we measure three instead: DeepSeek, Kimi and Qwen.) The two scans above were run before Claude was added to the full analysis, which is why Claude isn't in the table. For how to explain the differences between platforms to a client, see how to present an AI visibility report.