Content governance for written content: a checklist for voice, claims and repetition
By Jack Stovell X · Instagram · LinkedIn · published 2026-10-08 · checked 2026-10-02
Content governance for writing is the set of checks a piece passes before it goes out, with a named owner for each. The ones that matter most are voice, facts and claims, repetition, AI use, ownership and review dates. Some can be measured. Most need a person, and that's fine.
The short answer
Governance is mostly people and process. Software helps with a few of the checks and does nothing for the rest, so it's worth knowing which is which before you buy anything or write a policy. The attached table sets out the six checks that matter most for written content: what each one catches, how it is done by hand, and whether ScriptGrain measures it. Read it as a working map.
Here's the plain version. Three of the six checks are not measured by ScriptGrain: facts and claims, AI use and review, and ownership and lifecycle. The other three, voice, repetition and AI tells, can be scored or flagged. Even those produce evidence for a person to weigh. They don't produce a verdict.
| Check | What it catches | Done by hand | Measured in ScriptGrain |
|---|---|---|---|
| Voice and tone | A piece that does not sound like the brand or the named author | An editor reads it against the guidelines | A 0 to 1 voice match score against the measured profile, with the habits that differ named |
| Facts and claims | Unsourced numbers, stale figures, claims that need evidence | A fact-check against sources | Not measured: a person checks facts |
| Repetition and contradiction | Saying what was already said, or the opposite of it | Someone remembers the archive | Voice Brain's novelty check (repeats, builds on, new) and its flag for claims that pull against each other |
| AI tells | Stock phrases and shapes that make a draft read machine-made | An editor's ear | Tell density per 1,000 words, free in the AI cliché checker |
| AI use and review | A model's draft going out unread | A rule in the workflow | Not measured: the workflow decides |
| Ownership and lifecycle | No named author, approver or review date | A field in the CMS or tracker | Not measured: kept where the content is published |
What content governance covers for writing
Start with what the word means. Content governance is the set of rules, roles and checks that decide who may publish what, to which standard, and how content stays accurate and gets retired. For blog posts, newsletters, LinkedIn posts, web copy and emails, that comes down to a handful of questions asked in the same order every time.
Does it sound like the brand, or the named author? That's voice and tone. Is each number and claim sourced and current? That's facts and claims. Does it need a regulated claim, a disclosure, or consent to use someone's words? That's legal and compliance. Does it repeat or contradict something already published? That's repetition and contradiction. Was a model involved, and was the draft reviewed by a person? That's AI use. Who wrote it, and who approved it? That's ownership. And when will someone look at it again, update it or retire it? That's lifecycle.
So how does this differ from a style guide? A style guide is the standard. It says what good looks like. Governance is who checks against that standard, when they check, and what happens on a miss. You can have a lovely guide and no governance at all, which means a lovely guide that nobody consults on a Friday afternoon. You can't have governance without some standard to check against, so the two belong together. They're just not the same thing.
Who owns each check
Ownership is the part teams skip, and it's the part that makes everything else work. A check with no named owner is a hope.
A small team can keep this light. One editor owns voice and claims, because those two reward a single consistent eye. The author owns facts, because the author knows where each number came from and can produce the source on request. That's two people covering the heavy checks, and it fits a team of three or four without anyone needing a title change.
A larger team splits it further. Each check gets a named approver: one person owns voice and facts, another owns legal and compliance, and lifecycle goes to a third. The point is that when something goes wrong, nobody has to ask who was supposed to catch it. The name is already written down.
An example sign-off line shows how little it takes. Something like: "Voice approved by the editor; facts checked by the author; AI used for first draft, reviewed in full; next review due in six months." One sentence, four owners, one date. If your team can't write that line for a piece, the piece isn't ready.
Voice: a measured standard instead of adjectives
"Warm but professional" cannot be checked. Neither can "confident, approachable, a bit witty". Two editors will read the same draft against those words and disagree, and both will be right, because the words don't pin anything down. That's the weakness of adjective-based guidelines. They describe a feeling and then ask people to enforce it.
A measured profile does the opposite. It reads your existing writing and gives you a number, plus the specific habits that differ from the draft in front of you: sentence length, how often you use contractions, how you open a paragraph, where you put the punchline. Now the editor isn't arguing about adjectives. They're looking at a gap between two sets of habits.
ScriptGrain scores every draft from 0 to 1 against the writer's measured profile, which covers 45 attributes. On-voice drafts typically land between 0.85 and 0.95. Partial matches sit between 0.5 and 0.8. A clearly different voice comes in under 0.45. The score also returns the per-feature differences, so you can see why a draft missed, not just that it did.
The guidelines template sets 0.85 as a default pass threshold, and polish revises toward 0.9 (1 credit). Treat 0.85 as a starting line you adjust for your own team. If you want to build the standard properly, the brand voice guidelines template is the place to start. The voice measurement framework explains how the attributes are read and scored. And if you just want to see where a draft sits today, the free brand voice consistency checker takes one main piece plus up to three others and scores them against it, no account needed.
One caution. A score tells you the draft resembles the profile. It doesn't tell you the draft is good. That's still an editor's call.
Facts and claims
Every number gets a source and a date. That's the whole rule, and it's harder to keep than it sounds. Figures drift. A statistic that was current a year ago gets copied into three newsletters and a LinkedIn post, and by the fourth use nobody remembers where it came from.
Superlatives and comparisons need more. "The fastest", "the most trusted", "twice as good as" are objective claims, and they need evidence in hand before you publish, not after someone challenges you. In the UK, marketing claims fall under the CAP Code, enforced by the Advertising Standards Authority, which expects objective claims, superlatives among them, to be backed by evidence held before the claim is made. That's a description of the code, not legal advice. If a claim carries real risk, a person with the right expertise should look at it.
AI drafts need the same check, and arguably a tighter one. A model can invent a figure that looks entirely plausible, complete with a tidy decimal place. It won't flag the invention. It'll just write it with the same fluent confidence as everything else. So the author's job on an AI-assisted draft is the same as on any other: find the source for each number, or cut the number. Fair enough if that feels slow. It's quicker than a correction.
Repetition and contradiction
An archive that grows will repeat itself. It's close to a law. Nobody remembers every post, so the same point gets made again in slightly different words, sometimes with a slightly different conclusion. Do that for a few years and you've contradicted yourself, and a reader who's paying attention will notice before you do.
Drift is the slow version of the same problem: the voice and the positions move a little with each new author or each new draft, until the whole thing sounds like several people. There's a glossary entry on voice drift if you want the definition.
ScriptGrain's Voice Brain keeps the ideas, claims, stories and frameworks your writing already covered, each with its exact words. Its novelty check tells you whether a new draft repeats, builds on, or adds something new. It also flags claims that pull against each other. That's what it does, and it's all it does here. It doesn't decide which of two conflicting claims is right; a person does. Voice Brain is available on every plan, and the Voice Brain page has the detail.
AI-assisted drafts in the workflow
Most teams now draft with a model somewhere in the chain. Governance doesn't need a separate process for that. It needs the same checks, in a sensible order. A workable sequence runs like this: brief, draft, score against the voice, fix the tells, fact-check, human sign-off, publish.
The brief comes first because a vague brief produces a vague draft, and no amount of checking later fixes that. The draft can come from a person, a model, or both. Scoring against the voice shows where it drifts from the writer's measured habits. Fixing the tells means removing the stock phrases and sentence shapes that make machine text easy to spot; the free AI cliché checker counts 30 listed phrases and 10 sentence shapes per 1,000 words, and reads under 1 as clean and over 3 as heavy.
Then comes the fact-check, which is a person's job, followed by the sign-off, which is also a person's job. Publishing is the last step.
Here's the rule that holds the whole sequence together. A score is evidence for an editor. It is never the approval itself. A draft can score 0.92 and still carry an invented figure, a claim you can't support, or a point you made better last spring. The number helps the editor look in the right places. The editor still signs.
What a tool can and cannot govern
A tool can measure voice, count tells and spot repetition. Those are patterns, and patterns are what software does well. It can do them at a scale and with a consistency that a tired human at the end of a long day can't.
It cannot decide what is true. It cannot decide what is legal. It cannot decide what is wise to say, to this audience, this quarter. Those are judgements, and they stay with people. Anyone who tells you a tool governs your content end to end is selling you something, so be wary.
ScriptGrain is not a CMS, and it's worth being plain about the boundary. It doesn't publish, schedule, run a content calendar, route approvals, or organise work into folders or tags. If you need those, you need another system alongside it, and plenty of good ones exist. What ScriptGrain keeps is the writing itself: a library of pasted text, files and saved drafts, with version history that holds the newest 50 versions of each draft and lets you restore any of them. On paid plans it also re-scores published pages monthly through the voice monitor. Studio and Agency share these with a team, and the same data is available over the API and MCP server.
In practice, governance is a handful of owners, a standard they agree on, and a habit of checking. The tool makes two or three of those checks cheaper. The rest is still down to you.
Limits
This page cannot tell you whether a claim is true, legal or allowed in your sector. Regulated claims (financial, health, legal) need review by someone qualified, and nothing here is legal advice.
A voice match score says how closely a draft's measured habits match a profile. It does not say whether the piece is good, accurate or right for the moment, and it should never stand in for an editor's sign-off.
Voice Brain only knows the writing it has been given. A repetition or contradiction with something published elsewhere, and never added, will not be caught.
Questions
What is content governance?
Content governance is the set of rules, roles and checks that decide who may publish what, to which standard, and how content stays accurate and gets retired. For written content it covers voice, facts and claims, legal questions, repetition, AI use, ownership and review dates. Each check has a named owner, so nothing depends on someone happening to notice a problem.
What is a content governance framework?
A content governance framework is the written version of those rules: the checks a piece must pass, who owns each one, when they happen and what follows a miss. It can be a page or a table. Good ones are short enough that people actually use them, and specific enough that two editors would apply them the same way.
How do you govern AI-generated content?
Apply the same checks you'd apply to any draft, in a set order: brief, draft, voice score, fix the tells, fact-check, human sign-off, publish. Record that a model was involved and that a person reviewed the result. Pay extra attention to figures, because a model can invent them fluently. The score informs the editor; the editor approves.
Who should own content governance in a small team?
In a small team, one editor can own voice and claims, and each author owns the facts in their own pieces. That covers the heaviest checks with two roles. Add a named person for review dates so older posts don't quietly go stale. What matters is that every check has one name against it, not a shared responsibility.
Is a style guide the same as content governance?
No. A style guide is the standard: it says what good writing looks like for your organisation. Governance is who checks against that standard, when they check, and what happens when a piece misses. A team can have a detailed guide and no governance, which in practice means the guide goes unread. The two work best together.
Methodology
The checks on this page are general editorial practice, written down. What ScriptGrain measures is described from its code on 2026-10-02: the voice-match scorer, the cliché scanner, and Voice Brain's novelty and contradiction checks.
The table separates what is measured from what is not. Three of the six checks are not measured by ScriptGrain at all, and the page says which.