How do we keep Loop Marketing content from sounding generic or AI-written?

Generic output happens when artificial intelligence (AI) agents write without documented brand rules. Prevention takes three layers. A brand voice document shows positive and counter examples. A bad copy list names the patterns agents must avoid. A living feedback loop adds a new rule each time a draft misses the mark.

Strong agents do more than follow the rules. They grade their own drafts against your quality standards, which makes it faster for editors to spot where output misses. Each round of human feedback becomes a permanent rule, so the same mistake rarely appears twice. Over time this trains recurring errors out of the system without repetitive editing.

The counter-example half of the brand voice document does the heavy lifting. Showing agents what wrong looks like blocks the default patterns generic AI writing falls into. Humans still drive every piece of content, and the agents handle the blank page.