ScriptGrain vs VoiceMoat

ScriptGrain publishes what VoiceMoat keeps to itself: the attributes a voice is measured on and the method behind the score. Both score drafts against a trained voice; only one shows its working, and only one is on every plan.

The actual difference

VoiceMoat scores drafts against a trained voice and names six of its ten signals in a free tool, but does not publish how the full 0 to 100 is computed. ScriptGrain measures 45 named attributes across eight layers, publishes the scoring method with its weights and tolerances, returns the per-feature deltas with every score, and puts the API and MCP server on every plan including Free. It writes sixteen content types, not posts and replies only, and it does not post anywhere for you.

VoiceMoat's paid plans start at $35 a month and the MCP connector needs Pro at $69; profile slots cost extra from $15. ScriptGrain's Writer plan is £12 a month with the connector included, and the free plan measures one voice with no card.

ScriptGrain is not a replacement for the assistant you already use. It measures your voice from writing you have published and hands that profile to ChatGPT, Claude, Muse or any MCP client through its connector, then scores every draft against it. ScriptGrain makes your AI better at being you.

Connect ScriptGrain to Claude

Every AI voice tool compared: prices, scores and API access, checked

ScriptGrainVoiceMoat
Entry price£12/mo (Writer, 1 voice profile)$35/mo (Creator)
Free tierYes, See your own voice profile and try one draft. No card.Free forever: 10 credits a day, 3 posts and 10 replies a day, one voice profile, described on the page as not built for daily use
Voices on entry plan1 (3 on Operator, £29/mo)One profile on Creator, up to 3 with paid slots from $15/mo
How the voice is built45 measured style attributes, extracted from writing you have already publishedYou train a voice profile from your posts; the MCP tool describes it as persona, tone markers, traits and never-say phrases. Drafts and replies are scored 0 to 100 against it and the tool names what is off. A free tool on its site names six of the ten signals it trains on and how it compares them; the weights behind the full 0 to 100 score are not published.

VoiceMoat figures read from their pricing page on 20 September 2026.

What VoiceMoat is built for

VoiceMoat is a social writing and posting tool for X and LinkedIn. Its own line says it plainly: "Make every creator's voice scale, without flattening it." That is the job. You write, it scores, you schedule, it publishes, and then you look at how the post did.

That loop is the point. Drafting, scoring, scheduling, publishing and analysing all sit in one place, for two platforms. If your working day is posts and replies on X and LinkedIn, that is a coherent product and a tidy one. Posting is also deliberately two-step, so nothing goes out by accident. To be fair, that is a sensible design choice for a tool that can publish in your name.

So the scope is narrow by design. It is built around the social feed, and the voice feature serves that loop rather than sitting apart from it.

How VoiceMoat handles voice

You train it on your own writing. VoiceMoat reads up to 200 of your posts, plus replies and threads, and builds what it calls "10 signals of Voice DNA". Every generation then gets a 0 to 100 voice match score against that profile.

You can see some of the working and not all of it. A free browser tool shows 6 of the 10 signals: sentence length and variation, word length, comma and emoji density, casing, hook type and structure. It also states how it compares them. The other 4 signals are named but only read inside the paid product. And the weights behind the full 10-signal score are not published.

Fair enough. Plenty of tools keep their scoring internal, and a score you can act on is still useful. But it does mean that when a draft lands at 72, you know the number and not the recipe. You can't tell whether it lost points on rhythm, on casing or on one of the four signals you can't inspect.

There is also a practical limit on how many voices you can hold. The free plan has one profile, Creator allows up to 3, Pro up to 4 and Enterprise up to 6. Those limits shape who this suits, and that comes up again below.

How ScriptGrain handles voice

ScriptGrain measures a voice from writing you have already published. The profile has 45 named attributes in 8 layers: lexical, syntactic, tone and register, rhetorical, punctuation and format, function words, content patterns, and quirks and cadence. The full list sits in the writing voice attributes reference.

Some of those are what you would expect: average sentence length and its variance, contraction rate, comma density. Others go further. Semicolon and dash habits. Formality on a 0 to 10 scale. Confidence versus hedging. Opening style. Argument structure, whether you lead with evidence, lead with the conclusion or tell it as a narrative. Paragraph openers. Pronoun mix. Together they describe how you write, not just what you write about.

A profile needs at least one sample of 50 words or more. The recommendation is three or more pieces and about 3,000 words. Extraction usually takes under a minute; the median measured on 28 September 2026 was 39 seconds.

Every draft is then scored from 0 to 1 against the profile. That is voice match. On-voice drafts typically land between 0.85 and 0.95. Partial matches sit from 0.5 to 0.8. A clearly different voice comes in under 0.45. The score arrives with per-feature deltas, the draft's value set against the profile's value for each attribute, so you see where it drifted. The method, weights and tolerances are published in the voice measurement framework.

Polish then revises a draft toward a target score, 0.9 by default. Drafts are written with the profile as a constraint, and the app learns from the edits you save.

The profile itself is read live, every time. It reaches ChatGPT, Claude, Gemini, Cursor, Meta Muse and any MCP client through the MCP server and the REST API. It is never a pasted prompt. Both the API and the MCP server are on every plan, Free included.

The same job in each tool

Take one job: a founder wants a LinkedIn post about a product change, in their own voice, and wants to be sure it sounds like them before it goes anywhere.

In VoiceMoat, the founder connects their account, and the engine has already learned from their posts. They draft the post, or have it generated, and get a voice match score between 0 and 100. Say it comes back in the low 70s. They can edit, rescore, and repeat. Once it reads right, they schedule it from the same screen, confirm the second step, and the post goes out. Afterwards they check how it performed. The whole thing happens in one tool, start to finish, and that is exactly what it is for.

In ScriptGrain, the founder's profile is built from their published writing, and it is held as those 45 measured attributes. They draft wherever they already work, in ChatGPT or Claude or an editor, with the profile read live through the MCP server or the API. The draft is scored from 0 to 1. Suppose it lands at 0.68, a partial match. The deltas show why: sentence variance too low, contraction rate under the profile's, opening style drifting from the founder's habit of leading with the conclusion. A short fragment after a long sentence is missing. So the founder, or Polish, fixes those specific things and rescores.

Then the post needs to go somewhere. ScriptGrain does not post anywhere for you. The founder copies it into LinkedIn, or into whatever scheduler they use.

So the difference is plain. VoiceMoat carries the post all the way to publication. ScriptGrain tells you precisely how far the draft sits from the voice and why, and then hands it back to you. One has a longer workflow. The other has a deeper measurement.

Which one fits which situation

Choose by the job, not by the feature count. Some situations are clear.

Use both when the work splits. VoiceMoat handles the social loop. ScriptGrain covers everything else, and acts as the stricter measure on anything that matters.

Using ScriptGrain alongside VoiceMoat

Running both is less awkward than it sounds, because the two tools do different things with the same raw material: your published writing.

A practical order works well. Build the ScriptGrain profile first, from three or more pieces and about 3,000 words. Draft in whichever AI tool you prefer, with the profile read live so the voice constraint is applied as you write. Score the draft, read the deltas, fix what drifted. Then take the finished post into VoiceMoat if it is headed for X or LinkedIn, and let that tool schedule and publish it. You get a second score from a second system, which is a useful cross-check.

Two cautions. First, the two scores are not comparable. One runs 0 to 100 and the other 0 to 1, and they are computed differently, so don't expect a 0.9 to map to a 90. Treat each as a reading within its own tool. Second, voice drift can show up in either, so keep the ScriptGrain profile current as your writing changes.

If you are moving off VoiceMoat entirely, there is nothing to export in the sense of a pasted prompt, and ScriptGrain would not want one. You rebuild the profile from your published writing, which takes under a minute to extract. The free plan measures one voice with one full analysis and no card, which is enough to see whether the measurement fits before you commit anything. The brand voice consistency checker is a low-effort way to test a single draft.

One draft only tells you so much, and a vendor's demo tells you less. For a fuller test, we've written up a brand voice AI checklist covering twelve questions to put to any tool before you buy, each with a clear pass condition. It also gives you three test prompts to run in every tool on your shortlist, plus a way to score the results that doesn't lean on a demo.

On prices, VoiceMoat's were read on 20 September 2026: Creator at $35 a month, Pro at $69, Enterprise at $150. ScriptGrain's Writer plan is £12 a month with the connector included. Check both on the day you decide.

Where VoiceMoat is stronger

A social media writing and posting tool for X and LinkedIn: trained voice, drafts, replies, scheduling, analytics, an MCP connector on Pro and up, and a 0 to 100 voice score against your trained voice.

If your writing lives on X and LinkedIn and you want drafting, replies, scheduling and posting in one place, VoiceMoat is that product and ScriptGrain is not; ScriptGrain measures and writes, it does not publish to a network.

Questions

Is ScriptGrain better than VoiceMoat?

They solve the problem differently. VoiceMoat scores drafts against a trained voice and names six of its ten signals in a free tool, but does not publish how the full 0 to 100 is computed. ScriptGrain measures 45 named attributes across eight layers, publishes the scoring method with its weights and tolerances, returns the per-feature deltas with every score, and puts the API and MCP server on every plan including Free. It writes sixteen content types, not posts and replies only, and it does not post anywhere for you. If your writing lives on X and LinkedIn and you want drafting, replies, scheduling and posting in one place, VoiceMoat is that product and ScriptGrain is not; ScriptGrain measures and writes, it does not publish to a network.

How much does VoiceMoat cost compared with ScriptGrain?

VoiceMoat's entry plan is $35/mo (Creator) (Annual: two months free. Pro $69/mo, Enterprise $150/mo), with this free tier: Free forever: 10 credits a day, 3 posts and 10 replies a day, one voice profile, described on the page as not built for daily use. ScriptGrain starts at £12/month (Writer, 1 voice profile) with a free plan: See your own voice profile and try one draft. No card. VoiceMoat figures read from their pricing page on 20 September 2026.

Does VoiceMoat learn my writing voice?

You train a voice profile from your posts; the MCP tool describes it as persona, tone markers, traits and never-say phrases. Drafts and replies are scored 0 to 100 against it and the tool names what is off. A free tool on its site names six of the ten signals it trains on and how it compares them; the weights behind the full 0 to 100 score are not published. ScriptGrain instead measures 45 style attributes from writing you have already published, and scores every draft against that measured profile.

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