AI writing tends to “sound like AI” when it leans on patterns instead of perspective. The biggest tell is a generic, evenly paced voice that could fit any brand, any audience, and any situation—because it isn’t anchored in specific experience, priorities, or point of view.
Another giveaway is the smooth-but-flat rhythm: lots of tidy sentences, balanced clauses, and safe transitions (“Additionally,” “Furthermore,” “In conclusion”) that make the copy feel assembled rather than lived-in. When every paragraph reads like a summary, the text can feel competent but oddly distant.
Overgeneralized claims: Phrases like “many people say” or “it’s important to note” add length without adding meaning.
Predictable structure: The same intro-body-wrap format repeated across sections, with few surprises or intentional emphasis.
Low specificity: Minimal concrete details, sensory language, numbers, or real-world constraints—so nothing “pins” the message to reality.
Over-polished neutrality: No strong opinions, no informed tradeoffs, and no distinctive word choices that sound like an actual team.
Redundant phrasing: The same idea restated in slightly different words, creating a padded feel.
Human-sounding writing is usually guided by decisions: what to prioritize, what to avoid, and what to say in a way only that brand would say it. That means a consistent tone, clear stance, and specific language—plus the right amount of imperfection, like varied sentence lengths and natural emphasis.
For a practical framework to define a brand voice and keep AI-generated copy aligned with it, see this guide to building a tone system that helps AI writing sound human and on-brand.
For Why AI Writing Sounds Like AI (and How to Fix It), the best answer depends on fit, material, care instructions, and how the product will be used day to day.
Use specific details, a clear point of view, and varied sentence rhythm. Replace generic filler with concrete examples and brand-specific word choices.
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