ScriptGrain vs Writesonic

ScriptGrain is built for one job: everything you publish sounding like you. Writesonic has become a different product, an AI search-visibility platform with writing attached.

The actual difference

Different products now. If you want to know how you appear inside ChatGPT, Writesonic addresses that. If you want everything you publish to sound like you wrote it, that is ScriptGrain.

Writesonic's entry plan is $79/mo billed annually and includes one writing style, plus a cap of 15 AI articles a month.

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.

How the connector works

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

	ScriptGrain	Writesonic
Entry price	£12/mo (Writer, 1 voice profile)	$79/mo billed annually
Free tier	Yes, See your own voice profile and try one draft. No card.	None
Voices on entry plan	1 (3 on Operator, £29/mo)	1 Writing Style
How the voice is built	45 measured style attributes, extracted from writing you have already published	Upload a PDF or DOC, add a webpage link, or paste text that reflects the brand's tone. The feature is now called Writing Styles, previously Brand Voice.

Writesonic figures read from their pricing page on 30 July 2026.

What Writesonic is built for

Writesonic is a search-visibility product now. Read its own pricing page (checked 2026-09-20) and the pitch is an "AI Search Visibility Platform": tracking how a brand shows up in ChatGPT, Gemini and AI Overviews, with an AI Content Agent bundled in for the writing. The writing is real. It just isn't the headline.

So the honest way to read Writesonic is as a system for being found. You measure citations across AI engines, you audit your site, and you produce content to feed what you learn. The unit of success is visibility. Did the brand get cited? Did it appear in the answer? That is a clear job, and plenty of teams have it.

A tool built around that job makes sensible trade-offs. Writing volume sits on the plan ladder (Starter at $79 a month billed annually, read on 2026-09-20, gives you 15 AI articles and 1 Writing Style). Output is counted in articles because articles are the raw material for the visibility work. Voice is an attribute of that material, not the thing being measured.

None of this is a criticism. It's a description. If you keep it in mind, the rest of the comparison makes more sense.

How Writesonic handles voice

Writing Styles (formerly Brand Voice) is the feature. You give it a source: upload a PDF or DOC, add a link to a web page, or paste text that reflects the brand's tone. The AI Content Agent then applies that style across formats such as LinkedIn posts, email, ads, blogs and whitepapers.

That is a sensible, low-friction design. You don't need to describe your voice in words; you show the tool some writing and it takes a run at matching it. For a team that wants a consistent feel across a handful of formats, with minimal setup, it does the job.

What it doesn't publish is a voice score. There is no stated measure of how close a given draft lands to the style you supplied. What Writesonic measures and tracks is AI-search visibility, meaning citations across AI engines. Voice fidelity is something you judge by reading. And to be fair, plenty of people judge voice by reading perfectly well.

The limit is at the edges. With no number, you can't compare Tuesday's draft with next month's, or one writer's output with another's, without doing it by eye. Drift is harder to spot when nothing is counting. That matters more as the volume goes up and more hands touch the work.

There's also the question of where the style lives. Writing Styles sits inside Writesonic's agent. Its public API and MCP server cover visibility reports and citations, not writing, and they sit on the Enterprise plan (read 2026-09-30). So the style does its work in Writesonic's own writing surface, and that is where it stays.

How ScriptGrain handles voice

ScriptGrain starts from a different question: what, specifically, does this voice do?

It measures a voice from writing you've already published and builds a profile of 45 attributes in 8 layers: lexical, syntactic, tone and register, rhetorical, punctuation and format, function words, content patterns, and quirks and cadence. The attributes are concrete. Average sentence length and its variance. Contraction rate. Comma density. Semicolon and dash habits. Formality on a 0 to 10 scale. Confidence versus hedging. Opening style, argument structure (evidence-first, conclusion-first, narrative), paragraph openers, pronoun mix. The full set is laid out in the writing voice attributes reference.

A profile needs at least one sample of 50+ words. Three or more pieces and about 3,000 words is the recommendation. Extraction usually takes under a minute; the median was 39 seconds when measured on 2026-09-28.

Then comes the part that matters. Every draft is scored from 0 to 1 against the profile, a figure called voice match. 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 arrives with per-feature deltas: the draft's value against the profile's value, attribute by attribute. So you don't just learn that a draft is off. You learn that the sentences run long, or the hedging crept up. The method is published in the voice measurement framework.

Polish takes a draft and revises it toward a target score (default 0.9). Drafts are written with the profile as a constraint, and the app learns from the edits a user saves.

The profile also travels. It reaches ChatGPT, Claude, Gemini, Cursor, Meta Muse and any MCP client through the MCP server and the REST API, read live each time, and both are on every plan including Free. It is never a pasted prompt. Details are on the API and MCP server page.

The same job in each tool

Take one job. A founder has a back catalogue of newsletters and wants a launch announcement that sounds like her.

In Writesonic, she uploads a few newsletters as a DOC, or pastes a couple of them in, and saves it as a Writing Style. She asks the AI Content Agent for the announcement. It comes back in a voice informed by her material. She reads it. Some lines feel right, a couple feel slightly off. She edits, publishes, and moves on. There is no number attached; her ear is the instrument. If the announcement is one piece among many feeding an AI-visibility plan, the workflow suits her well.

In ScriptGrain, she supplies the same newsletters and gets a profile of 45 attributes in under a minute or so. She writes or generates the announcement, then scores it. Say it comes back in the partial-match band, somewhere between 0.5 and 0.8. The deltas show why: the draft's sentences average longer than her profile's, and its contraction rate sits below hers. She runs Polish toward the default target of 0.9, or fixes those two things by hand. The revised draft scores again. Now she knows where it landed, not just how it felt.

Same inputs, same outcome she wanted. The difference is what she can see while she works. One tool asks her to trust her ear. The other gives her ear a ruler. Neither is wrong. They suit different appetites for checking.

Which one fits which situation

Pick by the job in front of you.

Your real goal is being cited by AI engines. Choose Writesonic. Visibility tracking and site audits in the same subscription are a genuine capability, and ScriptGrain doesn't attempt them.
You want one tool for SEO, audits and content. Writesonic again. The all-in-one surface is the point.
You need a light, quick brand tone across a few formats, and judging by eye is fine. Writesonic's Writing Styles is enough, and simpler to set up.
Voice is the product. If the writing has to sound like a specific person or brand, and you want to prove it draft by draft, choose ScriptGrain.
Several people or models touch the copy. A measured profile, with per-feature deltas, catches voice drift that nobody's ear would catch consistently.
You write in more than one assistant. The profile reaches ChatGPT, Claude and other clients through the MCP server and API, so the voice doesn't depend on one writing surface.

Cost shapes this too. Writesonic's ladder climbs with article volume and style count. ScriptGrain's plans climb with profiles and seats, and the Free plan gives you one profile and one full analysis with no card. That is a low-risk way to find out what your own voice looks like as data.

Using ScriptGrain alongside Writesonic

Using both is a reasonable setup, and it isn't a compromise. The jobs barely overlap.

Keep Writesonic for what it's good at: tracking how the brand appears in ChatGPT, Gemini and AI Overviews, and auditing the site. Let that work tell you what to write about. Then write the pieces in whichever assistant you prefer, with the ScriptGrain profile read live through MCP or the API as a constraint. Score the result. If it lands where you want it, publish.

If you'd rather draft inside Writesonic's agent, that works as well. Paste the finished copy into ScriptGrain, check the voice match, and read the deltas before it goes out. You're using the measurement as a checkpoint, not a replacement for the writing tool.

A few practical notes.

Build the profile first, from published work. Three or more pieces and around 3,000 words gives it something solid to measure.
Keep the Writesonic Writing Style if it's already earning its place. Nothing forces you to delete it, and it may still handle quick formats well.
Check your most public pages with the brand voice consistency checker and run drafts through the AI cliché checker before they go live.
Treat a low score as information. It tells you which attribute to fix, not that the draft is bad.

Brand teams should note one rule: Brand mimic builds a profile from a public website, but only with explicit consent that you own or may use the site. Agencies and in-house teams alike should have that settled before they start.

At the end of the day, the two tools answer different questions. One asks where you appear. The other asks whether it sounds like you. Plenty of teams need both answers, and there's no rule against getting them from two places. For a wider view of how the options line up, the voice tools matrix and the full comparison index sit a click away.

Where Writesonic is stronger

No longer primarily an AI writer: its pricing page now sells an AI Search Visibility platform: tracking how brands appear in ChatGPT, Gemini and AI Overviews, with content writing bundled alongside.

AI search-visibility tracking, which ScriptGrain does not do at all
Site audits bundled into the same subscription
Broad all-in-one SEO surface

Writesonic's GEO tracking is a real capability with no ScriptGrain equivalent. If that is the job, it is the better buy.

Questions

Is ScriptGrain better than Writesonic?

They solve the problem differently. Different products now. If you want to know how you appear inside ChatGPT, Writesonic addresses that. If you want everything you publish to sound like you wrote it, that is ScriptGrain. Writesonic's GEO tracking is a real capability with no ScriptGrain equivalent. If that is the job, it is the better buy.

How much does Writesonic cost compared with ScriptGrain?

Writesonic's entry plan is $79/mo billed annually, with no free tier. ScriptGrain starts at £12/month (Writer, 1 voice profile) with a free plan: See your own voice profile and try one draft. No card. Writesonic figures read from their pricing page on 30 July 2026.

Does Writesonic learn my writing voice?

Upload a PDF or DOC, add a webpage link, or paste text that reflects the brand's tone. The feature is now called Writing Styles, previously Brand Voice. ScriptGrain instead measures 45 style attributes from writing you have already published, and scores every draft against that measured profile.