Paste the release. Get a 0-100 AI score in 30 seconds. The score predicts how journalists on PR Newswire, Business Wire, Cision, and GlobeNewswire feeds will read your release before they finish the first paragraph. Sentence-level highlights pinpoint the executive quote, the formulaic 5W boilerplate, and the generic CEO framing that PR pros and comms teams see flagged most often. Built for PR agencies, in-house comms leads, and founder-comms running their own announcements. Free to try. No card.
A working business reporter sees 80 to 150 wire releases on a slow news day. The ones that read AI get five seconds before the reporter scrolls. There is no second chance, and there is no follow-up note asking for a better draft. The release earns engagement on its first paragraph or it dies in the inbox.
Pre-distribution scoring is what separates a release that earns pickup from one that lands in the archive folder unread. Four forces collapsed the window where a comms team could pipe an LLM draft straight onto the wire.
PR Newswire, Business Wire, Cision, and GlobeNewswire all accept submissions without AI filtering at the wire level. The filtering happens on the receiving side. Journalists subscribed to wire feeds use AI-detection browser extensions that surface a flag on the headline preview. Competitor monitoring teams in fintech, pharma, and enterprise SaaS flag AI-flavoured rival releases as ammunition for sales decks. The wire pushes the release out, but the readers on the other end sort the inbox by AI flag status.
The lede has two sentences to earn the rest of the read. If the opener defaults to "we are excited to announce" and the second sentence stacks two superlatives, the reporter has already decided. The release goes into a folder labelled "archive" or "client coverage" with nothing further. Pickup rates correlate hard with how the lede reads on the first scan, not with how interesting the news actually is.
A flagged release in a competitor's hands becomes a LinkedIn post or an analyst-brief slide. Once a release has been screenshotted with an AI overlay, the screenshot lives longer than the news cycle. The named executive on the quote sees the screenshot eventually, which is the worst outcome because the quote is the part of the release with their name attached.
A solo founder writing one release per quarter can afford 25 minutes of manual review. A PR agency shipping 8 to 15 client releases per week cannot. Pre-distribution scoring is the only practical way to keep batch-produced releases from accumulating AI flags across a client roster. One flagged client release reflects on the agency, not just the client, and account losses follow.
After two years of ChatGPT-drafted releases on every wire feed, working reporters and competitor monitoring teams recognise these five patterns inside the first paragraph. Each one shows up as a sentence-level highlight in the scan, and each one is fixable in a single editing pass.
Excited, thrilled, delighted, proud. Every press release in ChatGPT's training set opens this way, so it opens this way too. Reporters scanning a busy wire inbox register the phrase as filler and move on before learning what the news actually is. Fix: open with the change itself. "Acme raised $24M Series B led by Sequoia" beats "Acme is thrilled to announce a major funding milestone."
Who, what, when, where, why packed into the first three sentences in a templated rhythm. ChatGPT defaults to this shape because every release in its training data follows it. Working reporters spot the uniform cadence the moment they scan the lede. Fix: break the rhythm. Lead with the strongest single fact, follow with one piece of context, then weave the other three Ws into the body where they belong.
"We are committed to," "our mission is," "we look forward to," "this represents a significant milestone in our journey." Quote drafters lean on ChatGPT more aggressively than body writers because executives rarely supply their own language. The quote ends up as two or three sentences of pure model output dropped into otherwise human prose, and it spikes the local AI density even when the surrounding paragraphs read fine.
No customer named. No prior limit and new limit. No date for the rollout. No revenue figure, no growth percentage, no real number anchored to a real comparable period. ChatGPT defaults to hedged abstractions because that is the safest path through a draft, but the result is a release that says nothing a reporter can quote. Fix: pull the engineering data, the sales data, or the customer story before drafting. Three concrete facts beat ten adjectives.
"To learn more, visit." "For more information, please contact." "Available today and ready to transform." ChatGPT closes every release with the same CTA shape it learned from a thousand other releases. Reporters skip the boilerplate and look for the contact line. Fix: cut the marketing tail. Name the next step explicitly: a specific spokesperson, a specific phone number, a specific time window for follow-up calls.
Pro at $19.99 a month standard, $14.99 a month on yearly, fits solo PR pros and founder-comms running one or two releases a month. Business at $39.99 a month standard, $29.99 a month on yearly, fits in-house comms teams and PR agencies coordinating client rosters with shared scan history. Full details on the pricing page.
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A standard 450-word release fits inside the free tier daily detection budget with room for revisions. The four-step workflow takes 15 to 25 minutes of editor time and lifts most failing releases past the journalist-trust threshold in one pass.
Headline, subhead, body, executive quote, and boilerplate all in one block. The first score is the baseline. Note the number but do not act on it yet. Look at the sentence-level highlights to see which blocks are dragging the score down. A red cluster around the quote tells you something different from a red cluster in the body, and the editing time goes to a different place in each case.
Paste only the headline plus subhead plus first paragraph as one block. Paste only the executive quote as a second block. Paste only the boilerplate as a third. Three scores tell you exactly where the release fails. Most releases that score 55 to 70 overall have one block scoring under 40 and two scoring above 80. Editing the failing block alone usually moves the full release past 75.
Read each red sentence out loud. If it sounds like something a competitor press release would say, swap it for the specific version: the named customer, the actual revenue figure, the dated catalyst that explains why this matters this quarter. For the executive quote, fix by hand rather than with the AI rewriter. Quotes need authentic voice and a real specific fact that a model could not invent without the briefing.
Paste the revised release. Verify body above 75, quote above 85, lede block above 70. If yes, distribute. If no, one more pass on the lowest-scoring block before scheduling the wire pickup. PR agencies running this workflow on 8 to 15 releases per week typically pay for Pro at $14.99 a month on yearly for the higher daily caps and shared scan history.
Distribution drops the release into four very different reading workflows. The same prose reads differently in each, and the AI-flag risk concentrates where the reader is fastest.
Receives a flood of headline previews in a feed reader. Spends roughly five seconds per release on the first scan. AI-detection browser extensions flag the headline preview before the reporter clicks through, so a high score on the lede is what gets the release opened in the first place. The reporter who opens the release reads the first sentence next, and the body has roughly fifteen seconds to earn the rest of the read.
Reads more carefully because the trade outlet pays for context, not just news. The executive quote is the slot the trade editor inspects most carefully because it is the slot most often quoted directly in coverage. A flagged quote in a trade publication is a credibility hit that follows the company into analyst reports and customer reference calls.
Tracks your release the same day it ships. In fintech, pharma, and enterprise SaaS, this team runs every public competitor release through a detector and saves the screenshots. A high-score release reads as a non-event. A low-score release becomes material for the next quarterly briefing or sales-team enablement note. The damage is measured in deals, not in headlines.
Search engines and AI-search products crawl wire archives for source material. Releases scoring AI tend to be cited less, linked less, and surfaced less in AI-assisted research workflows. The flag does not block indexing, but it reduces the chance that the release feeds future coverage in the way a strong human-voice release would.
More for comms teams.
Coordinate changelog, blog, Twitter, LinkedIn, and email without the templated DNA.
For product marketers →Pre-flight AI score for founder decks before VC associate screening.
For founders →Light, Balanced, and Maximum modes for fixing flagged sentences without losing voice.
Read the guide →Free, Starter, Pro, Business. Yearly billing saves 25%. Solo to agency tiers.
See pricing →Free to try. No card. Pro at $14.99 a month on yearly for solo PR pros; Business at $29.99 a month on yearly for agency rosters.