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AI in Advertising, Honestly — Knowing

AI in Advertising, Honestly

For any business owner wondering whether an AI tool can actually tell if their ad is good, this is a plain-spoken look at what these tools do well, where they overreach, and where your own judgment still has to lead. No hype, no doom, just a straight account of what AI can reliably check in an ad and what it can't. If you're asking whether to trust a tool with your creative, or just curious where the line sits, this is that conversation.

  • AI in Advertising, Honestly

    What grounding an AI judge actually buys you.

    By Sean Patrick Coon · October 10, 2026

    A grounded AI evaluation, meaning one checked against defined rules and your brand's own facts, is different from a generic one that just guesses confidently, and the research shows that gap is measurable, not cosmetic.

  • AI in Advertising, Honestly

    AI can speed up your ads without flattening your taste.

    By Sean Patrick Coon · October 9, 2026

    AI can write and design ads faster, but speed is only an advantage if you still control the look, tone, and details that make your ads unmistakably yours, not generic.

  • AI in Advertising, Honestly

    People can't spot AI-made ads, and that's not the point.

    By Sean Patrick Coon · October 7, 2026

    A Berkeley study by Huang and Katona found people guess right only 64% of the time on whether an ad was AI-made, barely better than a coin flip, and the confident guessers were often the most wrong. That finding says ...

  • AI in Advertising, Honestly

    Can people tell your ad was made by AI, and does it matter?

    By Sean Patrick Coon · October 2, 2026

    People guess whether an ad is AI-made about as well as a coin flip, but the moment they suspect AI, trust, memory, and sharing all drop, whether or not the guess is right.

  • AI in Advertising, Honestly

    Predicting a winner and evaluating an ad are not the same job.

    By Sean Patrick Coon · September 25, 2026

    AI can tell you an ad follows patterns that worked before, and it can tell you an ad looks convincing, but neither is the same as telling you it will sell, and mixing up the three is where ad budgets get burned.