AI Hallucinations, Errors & Accuracy: The Data You Need to Know

Behind every confident AI answer lies a mix of fact, fabricated details, and silent errors. This report reveals how often AI gets it wrong — and what marketers must know before publishing AI-generated work.

AI tools are reshaping workflows across content, strategy, reporting, and more. But when accuracy matters, confidence isn’t enough.

We tested hundreds of prompts and surveyed marketers to understand when, why, and how AI makes mistakes — and what teams are doing to catch them.

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    What You’ll Learn

    How often AI hallucinations actually occur in marketing

    Not all mistakes are obvious. Learn the real frequency of subtle and major errors in AI-generated content so you can plan review processes with confidence.

    The most common types of AI errors teams encounter

    From fabricated citations to confident misstatements, see how AI breaks down and why simple reviews miss these mistakes every day.

    Which tasks and prompts cause the most mistakes

    AI excels at speed, but not all prompts are created equal. This section shows the tasks where accuracy drops, and what to watch for.

    Stop Guessing About AI Accuracy. Get the Data.

    Use this report to understand where AI fails, how often it happens, and what real teams are doing about it.

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