Rewrite ChatGPT-drafted ad copy, landing-page hero sections, email sequences, social captions, and product descriptions before they hit paid spend or a brand-review meeting. Sentence-level highlights surface the templated openers, generic urgency, and stock benefit claims that get flagged in client review. Built for in-house marketing teams, freelance copywriters, and agency creative pods. Free to try. No card.
Two years ago a marketer could pipe ChatGPT straight into Google Ads and pick up cheap clicks. That window is closed. Three forces collapsed it and they all hit short-form marketing copy harder than they hit long-form blog content, because there is nowhere for a bad pattern to hide in a 7-word headline.
Marketing copy is one of the most exposed disciplines to generative-AI scoring review in 2026. Brand leads run their own Originality.ai or Copyleaks pass on agency drafts before signing off on a launch. Audiences spot templated openers faster than they spot AI-shaped blog posts because there is less prose to settle into before recognising the pattern. The realistic 2026 workflow uses AI assistance for the first ten variants and rewrites the top three before they hit ad spend.
A 1,500-word blog post lets a reader settle into the rhythm before recognising it as AI. A 7-word ad headline gives them nothing to forgive. In agency A/B tests the AI-shaped variant typically underperforms the rewritten one by 20 to 40 percent on cold-audience click-through rate. The gap closes on warm retargeting where brand recall does some of the work, but cold acquisition is where the cost-per-click hurts most and where audience scepticism shows up first.
Google Ads updated its policies to encourage disclosure of AI-generated text in sensitive verticals like finance, health, and political ads. Meta extended similar guidance to political and social-issue ads. Neither platform outright bans AI copy, but ad-quality scoring increasingly treats formulaic phrasing as a signal of low relevance. Lower relevance score means higher CPM, which means a worse ROAS before a single user even clicks.
In-house brand leads now routinely run agency-delivered copy through Originality.ai, Copyleaks, or GPTZero before signing off on a paid launch. An agency that ships AI-shaped copy gets a defensive question on the review call instead of a sign-off. Pre-scanning every deliverable before handoff turns that conversation into a procedural check rather than a credibility hit.
An AI-tell headline lowers CTR. A formulaic landing page lowers time on page. A generic email subject line lowers open rate. Stacked across an acquisition funnel, those hits add up to a 15 to 30 percent gap in conversion rate between rewritten and unhumanized campaigns. That gap is the difference between a profitable channel and one that gets paused at the next monthly review.
A Meta ad and a long-form sales page are not the same animal. Each format has its own register, its own paraphrase density, and its own false-positive risk. Read the score in the context of the format rather than chasing one number across every piece of creative.
Short-form, three to seven lines of body plus a headline. Chunk size sits below the classifier's reliable band, so single ads score noisily. The realistic move is to scan the full ad set as one paste (five to ten variants together) so the model has enough signal to score consistently. Healthy scores on hand-written direct-response ads run 70 to 85. The recurring flags are the Unlock or Discover opener and unspecified ROI claims.
Headline, sub-headline, three benefit lines, and a CTA. Structurally similar across the entire SaaS category by convention, so scoring is volatile on the hero block alone. Scan the hero alongside the next two sections so the chunk is large enough for a stable read. A hero with a specific number and a named customer (Cut onboarding from twelve days to three for Series B SaaS) sits high on both score and conversion. A hero that reads generic (Transform your business with our platform) sits low on both.
Short-form pieces below the reliable chunk band. Scan the full sequence (five to seven emails) as one paste rather than scoring one email at a time. Subject lines and preheaders are the highest-AI-risk slots in an email sequence because they default to templated curiosity (You will not believe what happened next) and templated urgency (Last chance, ending tonight). The body usually scans cleaner than the subject line.
Instagram, LinkedIn, X, and TikTok captions sit at five to fifty words. Single captions are too short to score reliably, so paste a week of planned captions together. The recurring flags are emoji density without payload (3 to 5 emojis in 20 words) and the templated "Here's what nobody is telling you about X" hook. One emoji per caption tied to a specific noun reads human; an emoji cluster next to a generic verb does not.
Three to ten thousand words of structured argument with hook, story, offer, proof, and close. The headline number averages across the whole page, which masks specific weak slots. Scan the full page first, then re-scan the hook and the close separately, because those are the sections that drift into stock phrasing under deadline pressure. VSL scripts score well when they preserve spoken cadence (contractions, fragments, one-word lines) and score poorly when they slip into written-prose rhythm.
Fifty to three hundred words per product. ChatGPT defaults to vague benefit claims (game-changer, world-class, industry-leading) across product copy at scale, which makes a 30-SKU catalogue read as pure template by row ten. Scan a batch of ten descriptions together; the pattern shows up at the catalogue level even when individual rows look fine in isolation.
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Marketing frameworks are not the enemy. A framework filled in with generic ChatGPT vocabulary is. AIDA, PAS, and the 4Ps produce templated structural moves that overlap heavily with how an LLM defaults when prompted for ad copy or a sales page. Keep the framework, swap the vocabulary.
Attention, Interest, Desire, Action still works as a structural backbone. The Attention slot is the one that flags hardest because ChatGPT defaults to generic openers (Imagine, Picture this, Unlock the power of, Discover how). Replace the slot with a specific number, a named customer, or a verbatim quote from research, and the framework keeps doing its job without the AI fingerprint reading through.
Problem, Agitate, Solve scores best when the Agitate slot uses concrete customer-voice phrasing instead of generic "you are tired of struggling with" language. The structural move is fine. The vocabulary is the giveaway. Sentence highlights show which Agitate lines dropped into the templated band so you can swap in research-derived phrasing surgically, rather than rewriting the whole funnel.
Promise, Picture, Proof, Push relies on parallel structure across the four slots. LLMs produce parallel structures by default, so a Four Ps page often flags hard if the slots are all the same sentence length and cadence. Vary the rhythm between slots (short, long, fragment, long), add a specific proof figure, and the framework reads human while still delivering the rhythm a direct-response page needs.
The recurring offenders are Unlock, Discover, Transform, Elevate, Revolutionise, Master, and Empower. They flag in headline scans because they sit in the templated band of LLM defaults and carry no concrete information. Healthier openers lead with a specific outcome verb (cut, save, double, finish, ship) anchored to a number. Write the headline last, after the offer and proof are settled, so it can carry specific content rather than acting as a generic warm-up.
Brand voice and detector pass-through line up more often than they fight. Distinctive cadence, varied sentence length, and concrete vocabulary all read on-brand to a brand lead and read human to the classifier. The pieces that flag are usually the ones where a writer dropped into the neutral SaaS register to push through a deadline.
Copy built from research interviews and customer-support transcripts almost always scores well because the vocabulary is specific to the audience rather than generic to the category. The discipline of pulling verbatim phrases into the draft does double duty: it lifts conversion and lifts the Authenticity Score at the same time, without any extra editing pass.
A brand style guide that requires product-specific terminology over generic SaaS language is also requiring prose that reads less templated. The two requirements collapse into one. Following the brand vocabulary lifts the detector score as a side effect of doing the brand work properly, which is the cleanest argument for tight brand guidelines in 2026.
Light mode preserves CTAs, prices, and offer terms verbatim. Use it on ads under 50 words and on landing-page hero sections where conversion-tested phrasing must stay intact. Balanced rewords more freely while keeping the offer and CTA intact; use it on landing-page body and email body. Maximum can break brand voice on short-form marketing copy because it rewrites aggressively, so reserve it for boilerplate paragraphs that flag every time and were never tested as conversion elements.
Agencies running a minimum Authenticity Score of 75 or 80 on every paid asset turn the scan into procedural proof that the work was reviewed before it hit paid media. Pasting a screenshot of the score and date into the delivery email pre-empts the brand-lead question on the review call. Once a client receives one delivery with the scan attached, they stop running their own check on every piece because the trust is established.
A real example from an agency split test on a B2B project-management product. The rewritten variant lifted cold-audience CTR by 34 percent over fourteen days. The cost of the rewrite was 8 minutes plus one Light-mode AI rewriter pass.
"Unlock the power of next-level project management. Transform your team's workflow with our game-changing platform. Discover how industry-leading teams ship projects faster than ever before. Limited time offer, start your free trial today."
"Linear teams ship 27 percent more in their first quarter on our platform. We tracked 412 of them across 2025. The difference is not the planning tool. It is that retros, sprint reviews, and bug triage all happen in the same place. 14-day free trial, no card.
The verb stack (Unlock, Transform, Discover) dropped. The vague benefit claims (next-level, game-changing, industry-leading) dropped. The unanchored urgency (Limited time offer) was replaced with a concrete trial term. The opener became a measured outcome (27 percent more) anchored to a real cohort size (412 teams). The CTA stayed intact in spirit but with a stronger anchor (no card) instead of stock urgency. The word count is roughly the same. The score moved 68 points. The CTR moved 34 percent.
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Long-form authenticity for SEO content and helpful-content classifier pass-through.
For blogs →Pre-ship detection for ad copy, sales pages, VSL scripts, and email sequences.
For copywriters →Light, Balanced, and Maximum modes for fixing flagged passages without losing voice.
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See pricing →Free to try. No card. Pro at $14.99 a month on yearly for solo marketers; Business at $29.99 a month on yearly for agency creative pods.