Facebook Ad Copy Checker: Spot Compliance Risks Before You Spend

Creative, targeting, and landing pages can all contribute to a rejection, but copy is the part you control most directly and the part reviewers — human or automated — read first. A headline that addresses the viewer’s personal situation, a body line that states a specific outcome as guaranteed, or a CTA that asks for a comment instead of a click are all patterns Meta’s systems are tuned to catch, and they show up in the text itself, not in anything downstream.

That makes copy the highest-leverage place to check before you submit. A five-minute read of the actual sentences, or a scored pass across every variant, catches a large share of avoidable rejections before they cost you a review cycle.

These are general, well-known phrasing patterns that reviewers and automated systems commonly flag — not a verbatim reading of Meta’s policy text, which changes over time and isn’t published as a mechanical checklist. Treat each one as a way to reduce risk, with a rewrite direction that usually helps.

• ✓Personal-attributes phrasing.Copy that addresses the viewer as if you know something specific about them — their health, finances, or relationship status — rather than describing the product. “Are you depressed?” or “As a diabetic, you need this” assumes a condition about the reader. A safer rewrite describes the situation generally instead of the person: “Struggling with low energy?” or “Managing blood sugar day to day?” talks about the topic without asserting anything about the viewer.
• ✓Unsupported or absolute claims. “Guaranteed results,” “cures your acne,” or a specific number stated as fact (“lose 30 lbs in 2 weeks”) reads as a promise you can’t substantiate. Reframing toward typical or possible outcomes — “many customers report clearer skin” instead of “cures acne,” or dropping the specific number entirely — is usually the fix.
• ✓Sensational or exaggerated claims. “This one trick doctors don’t want you to know” or “the secret the industry is hiding” is clickbait phrasing that draws extra scrutiny even when the underlying offer is legitimate. A plain description of the actual benefit or mechanism reads as more credible and is less likely to get flagged.
• ✓Restricted-category language. Health, supplements, financial products, and crypto carry extra scrutiny by default. Disease claims, guaranteed-return language, or implied medical advice in the copy raise the risk regardless of how the rest of the ad reads. Sticking to general benefit language and avoiding implied medical or financial guarantees lowers the risk without changing the offer.
• ✓Engagement bait.“Comment YES if you agree” or “tag a friend who needs this” asks for an engagement action as a mechanic rather than a natural response to the ad. Pointing the CTA at the actual offer — “Shop now” or “Learn more” — instead of an engagement mechanic removes the trigger entirely.

Before you submit a variant, run the copy through this:

• ✓Read the headline and primary text as a stranger — does either line assume something about the viewer’s health, finances, or personal life?
• ✓Circle every specific claim or number and ask whether you can substantiate it as written.
• ✓Scan for absolute language — “guaranteed,” “cure,” “proven” — and check whether it’s doing more work than the offer supports.
• ✓If the product is health, supplements, finance, or crypto, check whether the copy needs a disclosure or softer framing.
• ✓Check the CTA for an engagement-bait mechanic instead of a direct action.

That’s a fast pass for one ad. It gets slower and less reliable the more variants you’re shipping in a batch, which is where scoring the copy automatically earns its keep.

Spendict scores a compliance_safety dimension as one of seven in every assess_ad_creativecall, and it’s built specifically to flag the copy-level tripwires above — personal-attributes phrasing, unsupported claims, restricted-category language, and engagement bait — against the norms of the platform you specify. That score rolls into the overall verdict: run, fix_first, or kill.

Wired into a generation pipeline, the pattern is the same as scoring for hook or clarity: every variant gets checked before any of them reach spend. A run verdict moves the copy to the approved queue, fix_first sends it back with the flagged issue for a targeted rewrite, and killdiscards it before it costs you a review cycle. You can call this over MCP, REST, the CLI, or a drop-in agent Skill — the free tier includes 100 calls a month, and paid plans start at $19/month for higher volume.

Worth being precise here. A copy-level check reads the words you give it and flags the well-known phrasing patterns above — that’s the part it’s built for, and it does it consistently across every variant in a batch, which a manual read-through struggles to do at scale.

What it can’t do is see the rest of what Meta’s review considers. Spendict is not an official Meta tool and has no access to your ad account, so it can’t see account-level history, the landing page the ad points to, or targeting setup — all of which can factor into a real review decision. It flags copy-level risk; Meta makes the final call, and a run verdict is a reduction in risk, not a guarantee of approval.

The fastest way to see this in action is to run a few of your own headlines and primary text through a compliance check and see what gets flagged — a few minutes, no pipeline changes required. From there, the pre-launch check guide covers all seven scoring dimensions in full, and Meta’s official Advertising Standards remain the authoritative source — policies change, and this guide reflects common, well-known patterns rather than a verbatim reading of them.

Catch the phrasing before you submit. It’s the cheapest fix you’ll ever make.