Free tool

AI content detector

Paste draft copy. You get a rough style estimate plus editor-grade flags (not legal proof about who typed it).

Quick heuristic preview. Teachers, publishers, and search bots can disagree with it.

  1. 1. Paste at least ~50 characters of real copy
  2. 2. Run the detector
  3. 3. Read the score, signals, and quick fixes
0 characters

Paste 250+ words when you can. Two vague sentences distort the odds.

Examples worth running twice

Happy path • Human-edited changelog

“We postponed the CSV export rollout after three customers surfaced duplicate-row bugs in sandbox. Timeline: fix targeted for Aug 14, patched builds already on staging for Acme + Northwind…”

Sharp verbs plus named logos and brittle timelines normally pull the verdict toward human-led drafts once the excerpt is dense enough.

Edge case • Boardroom fluff

“Best practices reveal that aligning every stakeholder narrative remains essential for repeatable outcomes.”

Still sounds empty when humans type it. Interchangeable phrasing spikes the likeness bar even though nobody pasted from ChatGPT.

Reading your scan

  • Score: quick composite of tonal tells, not plagiarism detection.
  • Signals: what an editor scribbles mid-skim inside Notion or Google Docs comments.
  • Tips: name a customer shard, cite a latency budget with numbers, cite the regression pack you touched, or link a dated changelog entry.

Limitations (read once)

  • Translations, bullet lists pasted from spreadsheets, or policy speak can spoof the heuristic.
  • Short blurbs exaggerate swings. Retry once you bolt on surrounding paragraphs.
  • Public tools cannot see your Slack threads or drafts history; originality still needs governance.

Need rankable drafts with receipts, not guesswork tone?

Grenseo grabs your URLs plus brand snippets, drafts SEO-ready posts reviewers can veto, and limits automation to research scaffolding inside the workspace. Keep this checker inside QA loops until paragraphs read clean enough to publish. Explore human-in-the-loop content cycles or jump into teams plan when you graduate from lone-wolf editing.

FAQ

Is this AI detector 100% accurate?

Never. Styles overlap. Run it alongside human review and factual checks.

Can it settle authorship debates?

No. Think Slack banter yelling “too polished”: helpful context, worthless as binding evidence.

What does the likeness score capture?

Common LLM pacing, prestige nouns with no backbone, cautious transitions. The rubric penalizes vibes, not morality.

Why ask for longer samples?

Rhythm and heavier proof density only show up inside full sections. Two sterile sentences fake the widgets out.

Will detectors matter for SEO?

Search engines punish thin help, not keyboards. Focus on originality, cites, freshness, and firsthand detail.

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