Everyone can smell it now: brand voice when audiences are AI-fatigued

One of the most upvoted posts in r/isthisAI this year is about a college's official social account. The poster couldn't point to a single wrong sentence — the post just had "an AI quality about it". Seventeen thousand people upvoted a feeling. Meanwhile a Pangram study of LinkedIn made the Hacker News front page, and threads about consuming less social media "because everything feels generated" keep appearing.

What actually triggers the read

Audiences aren't detecting the tool; they're detecting genericism. The tells are the absence of anything only you could have said: no specific detail, no place, no person, no opinion, the same warm nothing every other account posts. A human can write that badly too — AI just makes it effortless to produce at volume.

The wrong answer is better disguise

Some of the replies to these threads sell detector-proofing and "humanizer" tools. That is a losing race and a dishonest one — and we'd say that as a company that builds AI tooling. If your strategy depends on audiences not noticing your method, the strategy is the problem.

The right answer is specificity, owned by a person

• Feed the machine real material: what your audience actually said this week (that's what social listening is for), real product facts, real photography.
• Encode the voice as an input — banned phrases, sentence rhythm, points of view — rather than hoping it emerges from the output.
• Put a human editor at the end who owns the voice and has authority to say "we wouldn't say that".

Reviewed, grounded content doesn't have "an AI quality about it", because the qualities audiences are smelling — vagueness, sameness, the absence of a person — got edited out by a person. That's not a trick for passing the sniff test. It's just what good content has always been, produced faster.