Catch ad-policy risks before platforms do.

No. The scanner cannot predict an approval decision, and no tool can. Platform review depends on the full ad, the landing page, the account history, and the reviewer, none of which a text scan can observe. What the scanner does is surface the wording that most often triggers a manual review, so you can decide whether to keep it. The output is a prioritized list of flags, each with the matched phrase and a lower-risk rewrite. Treat a clear scan as fewer known risks, not as a guarantee of approval.

The scanner covers 10 platform profiles: Meta, Google Ads, TikTok, LinkedIn, OpenAI Ads, X, Reddit, Etsy, CTV, and Broadcast. According to Meta's Advertising Standards and Google's Ads policies, the same sentence can pass on one platform and flag on another, so the profile you select changes the weighting. The FTC's advertising guidance describes the underlying rules for claims. Each scan runs the same 65 risk detectors, then weights the result against the selected platform's enforcement profile.

Directly, 65 risk detectors run on each scan across the selected platform profile. They cover banned terms, named claim categories, and narrative patterns that keyword-only tools miss. The scanner groups every match by severity and shows the exact phrase that triggered it. A 2026 sample review in the workspace illustrates the finding format using placeholder copy, so you can see the shape before you run your own. The count describes detector coverage, not a prediction of how a platform will rule.

The output is a forensic finding list, not a single number. For each flag the workspace shows the matched wording, the risk category, a severity, and a lower-risk rewrite where a responsible alternative exists. Findings are grouped by severity and by dimension, so you can work from the highest-risk item first. Account Enforcement is reported separately from Overall Risk, because an account-level signal is not the same as a problem with the copy itself. A clear result means the detectors found fewer known risks, nothing more.

No. Optimus Pass is a review aid, not an approval certificate. Check the flagged phrase, its context, and the suggested next step. A lower risk score does not guarantee approval, and Platform Safety warnings remain separate from Compliance Risk. Review each flag against the cited platform policy before editing anything. According to the FTC's advertising guidance, claims must be truthful and substantiated - passing a text scan does not establish that.

The scanner and the visibility audit answer different questions. The scanner reads the copy you paste; the visibility audit reads a public page's SEO, GEO, and AEO readiness signals. According to Google's published guidance, no special markup is required for AI features, so the audit measures readiness rather than a guaranteed outcome. Run the scanner before you submit an ad, and run the audit when you want to know what a search engine or answer engine can extract from the destination page.

Each platform weighs claim categories differently. Meta flags some patterns that Google or TikTok might pass, and TikTok tends to weight exaggeration more heavily. The same 65 detectors run on every scan, then the platform profile you select adjusts the weighting, so one sentence can produce a different result per profile. The matrix below shows the relative emphasis across five profiles as directional guidance. According to the published policies, enforcement is a platform decision, so review each flag against the cited rule.