See what search engines can read — and what your ad copy might trigger.

According to the product design, the 65 detectors split into 25 keyword detectors and 40 pattern detectors. Keyword detectors match banned terms and regulated phrases directly, while pattern detectors read narrative structure such as implied outcome arcs and transformation claims. Every scan runs the full set against the selected platform profile, and each finding cites the matched wording so the result is inspectable rather than a black-box number.

According to the methodology, the visibility engine runs 46 checks across three lenses: 18 SEO checks for on-page fundamentals, 11 GEO checks for AI-search readiness signals, and 17 AEO Readiness — Beta checks for answer-oriented structure. Each check reports an observed page condition with evidence, and the three scores stay separate because search discovery, generative reuse, and answer extraction are different questions.

According to the product positioning, a general chatbot drafts fluent copy with no notion of review risk, while Optimus Pass measures submitted text against declared detectors and bounded platform profiles. Compared with prompting a chatbot for advice, the product returns scored findings with matched evidence and lower-risk rewrites that are re-checked before display. The two are complements: draft anywhere, review here before submitting.

No. According to the product terms, every feature on this page is a review aid. The compliance score describes detected risk rather than predicting approval, and the visibility scores describe readiness rather than predicting ranking or citation. A clear result means fewer known risks, nothing more, and platform decisions remain entirely with the platforms and answer engines.

According to the plan terms, the Free plan runs the public ad-copy scanner with 3 lifetime checks, Professional adds 50 checks per month with landing-page audits and the full SEO, GEO, and AEO readiness workflow for one brand, and Agency adds 250 checks per month with multi-client organization. The done-for-you audit at $1,995 exists separately for teams that want a human-reviewed deliverable.

According to the methodology, every finding carries the matched wording, the risk category, a severity, and the reason it matters, so any team member can check it without trusting a number. The Meta Advertising Standards, Google Ads policies, and FTC advertising guidance are linked from the references for independent review. Founder Grady Coleman designed the evidence contract so strategists, implementers, and clients all read the same documented condition.

According to the product design, the next step depends on the question: paste ad copy into the scanner for wording risk, or submit one public URL to the visibility audit for page readiness. Both return prioritized findings with evidence in seconds. The Stanford information-retrieval research and the ACM hallucination survey linked below explain why structured, sourced content performs better in answer engines.

According to the operating principles, accuracy ships before features, so detector precision and evidence quality lead the roadmap. The 65 ad detectors and 46 page checks are updated as platform policies change across Meta, Google, TikTok, and OpenAI Ads. New capabilities ship only when the workflow behind them is ready, and every addition must keep its evidence contract intact.

According to the product process, a new detector starts as a confirmed pattern from platform documentation or repeated enforcement appeals. The pattern is scoped to the platforms it affects, tested against real copy, and shipped with its evidence contract intact. The policy-updates page records each addition with its date and source.