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The GEO playbook Moonrank's GEO Agent uses to catch AI-flavored writing — uniform rhythm, hedging, listicle-itis — and reshape it into specific, natural prose that resonates with humans and survives AI-content classifiers.
Download the methodology, see how the agent audits a draft, or run it live inside the GEO Agent.
The AI Detection skill is the editing pass Moonrank's GEO Agent runs on every draft before it ships: a systematic hunt for the tells that make text read as machine-written — same-length sentences, hedging boilerplate, lists that exist to fill space, transitions nobody says out loud — followed by a rewrite built on specificity and first-hand detail.
It's written as a SKILL.md, a plain-language instruction format that people and AI agents can both follow. Read it to learn what actually flags a page as AI-generated — to readers and to classifiers — adapt it as your team's editing checklist, or let the GEO Agent run the audit and the rewrite for you.
Downloading the playbook is free with a Moonrank account. Applying it to every article before publication — flagging the tells, injecting the specifics, re-scoring the result — is part of how the GEO Agent ships content that performs.
“Our last batch of blog posts feels off — a detector scored them 90% AI and time on page dropped. Can you fix them without rewriting from scratch?”
Audited 8 posts: 61 flagged passages, mostly hedging ('can potentially help') and stock transitions — 14 of 16 intros open with the same 'In today's landscape' pattern, and average sentence length varies by under 3 words across entire posts. Rewrote the worst 3: cut 22% of the word count, replaced 19 generic claims with numbers and named examples from your case studies. Detector scores dropped from 90% to under 15%; re-measure time on page in two weeks.
Paste the text or page URL, plus any first-hand material worth weaving in — quotes, data, real examples.
The GEO Agent flags uniform rhythm, hedging boilerplate, filler lists, and generic transitions, passage by passage.
Hollow claims become real numbers, named examples, and varied cadence — or get cut entirely.
The rewrite is checked against classifiers and a human skim test, and any section still reading as filler goes back through.
Flags rhythm uniformity, hedging, listicle-itis, and stock transitions with severity per passage.
Replaces 'can potentially' boilerplate with claims the author would actually defend.
Swaps generic statements for numbers, named examples, and first-hand detail.
Varies sentence length and rhythm until the text passes a read-aloud test.
Checks the rewrite against AI-content detectors before and after.
Identifies sections that can't be made specific and should be deleted, not polished.