What happens when different AI models give contradictory information about your company?
Contradictions almost always trace to different source sets. Identify which source each engine is drawing on, then improve the underlying ecosystem until the accurate version becomes dominant across all of them.
When ChatGPT says one thing and Gemini says another about the same brand, the cause is almost never that the engines disagree in some judgmental sense. It is that they are reading different sources. ChatGPT may be anchored to a 2022 trade article and recent Reddit threads. Gemini may be relying on the Wikipedia article and the Knowledge Graph. Perplexity may be pulling the most recent two news pieces. Each engine, given its sources, is producing a coherent answer; the contradictions live in the source layer. AIQ™ makes the source attribution explicit per engine, which turns ‘the engines disagree’ into a list of specific sources to act on. Once the sources converge on the accurate version, the engines converge too. Usually within weeks for retrieval-heavy engines and months for the rest.
Last reviewed: 19/05/2026
