Detector de IA para Marketing
Garantiza autenticidad de marca y contenido original en campañas de marketing
Marketing teams use AI as a routine drafting and ideation tool — and increasingly run detectors on incoming agency deliverables. The category problem is that marketing English (listicles, benefit headlines, CTA blocks) is exactly what AI tools produce by default. A marketing team that wants 'no AI in our copy' is fighting both physics and their own agencies. The realistic policy is disclosure, voice review, and detection at the QA stage.
Why Marketing Need a Reliable AI Detector
Marketing English is the category detectors flag hardest
Headlines, bullet lists, and CTA copy all live in the danger zone for AI detection. Even all-human marketing copy can score high on a detector because the genre conventions are also AI conventions.
Agency deliverables need verification
Marketing teams have been burned by undisclosed AI use in agency deliverables. Detection on every incoming deliverable is becoming standard QA.
Brand-voice consistency under AI drafting
AI tools produce voice-flat copy. Without a strong human review step, AI-drafted marketing content drifts toward a generic mid-Atlantic English that doesn't sound like the brand.
SEO penalty risk on AI-generated pages
Google's spam policy now penalises low-quality AI-generated pages produced at scale without human review. Detection is part of triaging which AI-generated pages can stay and which need rewriting.
Common Use Cases
Landing pages and home-page hero copy
Verify authenticity and ensure quality
Email sequences and lifecycle campaigns
Verify authenticity and ensure quality
Blog posts and content marketing
Verify authenticity and ensure quality
Paid-ad and social copy
Verify authenticity and ensure quality
Sales-enablement collateral
Verify authenticity and ensure quality
Brand-voice guides and messaging frameworks
Verify authenticity and ensure quality
How It Works
Detect at the QA stage, not the draft stage
Asking writers to produce 0% AI score forces unnatural rewrites. Run detection on the final candidate before publishing.
Pair detection with brand-voice review
A 0% AI score doesn't guarantee on-brand voice. Voice review is a separate step, not a substitute.
Track AI use in agency contracts
Specify in the SOW which AI use is acceptable, what disclosure you require, and what evidence you'll accept.
Frequently Asked Questions
Will Google penalise our AI-generated content?
Google's policy targets low-quality content at scale, not AI assistance per se. Pages that are AI-drafted, human-reviewed, and add genuine value generally rank fine. Pages that are purely automated and add nothing get demoted. Detection helps you decide which is which.
Should we ban AI use by our agencies?
Probably not — every working agency uses AI for drafting, A/B variants, and research. The realistic policy is disclosure plus human review plus QA detection. Trying to enforce a no-AI rule produces undisclosed use, not no use.
What's the right detector for marketing copy?
Originality.ai is the most-used in agency procurement (combined plagiarism + AI scoring fits editorial QA). GPTZeroPro is cleaner for individual marketers and produces better sentence-level reports.
Why does our own marketing copy get flagged as AI?
Marketing English is genre-flagged. Headline patterns, bullet structures, and CTA blocks all match what AI tools produce. The fix is sentence-level rewriting on the highest-confidence flagged sentences, not banning AI from the workflow.
Should we disclose AI use to customers?
Most current best practice says yes for transparently AI-generated material (like an AI chat assistant), no for AI-assisted drafting that's been human-reviewed. Industry-specific regulations may apply (financial services, healthcare). When in doubt, over-disclose.
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