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AdMinefield audits ad copy before it goes live. One report answers two questions: can this ad run, and is the copy any good?
Most tools generate copy. AdMinefield judges it. Targeting, bidding, scheduling and pacing are largely automated, and copy generation is increasingly handed to AI tools as well. What stays with a person is the decision: which version goes live. With dozens, sometimes hundreds, of variants a week, every version carries two risks — policy risk that gets the ad rejected or throttled, and quality risk that lets it pass review and still earn nothing.
An audit scores the copy on two axes. Safety (compliance) covers platform policy for the platform and region you select. Marketing (quality) covers how the ad is written: its structure, its emotional pull and its call to action. The engine reads the words first, then the meaning underneath them, then the whole ad as one piece, so issues that are invisible line by line still surface.
Every issue carries four things: the line that triggered it, an explanation in plain language, the judgement confidence, and the impact — how much it moves that axis's score. Snippet Issues and Whole-Ad Issues are listed separately, so you can see what fails inside a phrase and what only fails when the piece is read end to end. The report also shows where this version lands against both axes, so the next version can be compared with it.
Coverage is Meta, Google and TikTok platform policies across eight major regions worldwide, with platform and region chosen before submission. Short copy usually comes back in seconds.
AdMinefield is built for media buyers, performance marketers and agencies launching many creatives a week, and for store owners running their own ads. It is a diagnostic layer: it finds the issues and explains them, and the rewrite stays with you. Reports export to PDF, so findings can go straight to whoever writes the next version.