AI writing assistant that checks grammar, tone, and clarity across the web, with generative drafting and rewriting built in.
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Grammarly occupies an awkward position that most reviews of it never address. General-purpose assistants now correct grammar perfectly well, for free, and a great many people have one open already. So the interesting question is not whether Grammarly checks writing accurately — it does — but why a dedicated product for this still exists, and what you are actually agreeing to when you put it on every machine in a company.
Three things decide that, and none of them is feature coverage.
This is the argument that stops or starts most organisational deployments, and it is worth understanding structurally rather than as a yes-or-no.
Grammarly's value comes from working everywhere you type, and that mechanism is the concern. A browser extension and a desktop integration that can suggest improvements to a sentence must be able to read that sentence, which means text from your mail client, your internal tools, your ticketing system and your documents is in scope by default. This is not a hidden behaviour or an accusation; it is how ambient correction necessarily works. Any tool offering the same convenience has the same shape.
What varies, and what you should actually be evaluating, is the configuration around it: which applications and domains the integration is permitted on, whether text is processed and discarded or retained, whether organisational content can be excluded from model training, what the retention period is, and whether administrators can enforce any of that centrally rather than trusting each user's settings. Those controls are a function of which plan you are on and which admin surface you get, and the answers have been revised more than once, so read the current data-processing documentation rather than a summary of it. Our piece on keeping sensitive data out of model providers covers the general shape of this problem.
The unhelpful version of this conversation ends in a blanket ban, which usually just moves the same text into a personal account on an unmanaged browser. The useful version is narrower: decide which teams are excluded outright — legal, anything under privilege, anything handling regulated personal data, pre-announcement material — and deploy with an application allowlist for everyone else.
The honest case for Grammarly in the age of capable general models is not quality. It is the absence of a decision.
Sending a sentence to ChatGPT or Claude for a check costs a context switch, a copy, a paste, a prompt and a paste back. That is cheap enough that nobody objects and expensive enough that nobody does it for the message they are about to send in a chat window. The result is that assistant-based proofreading happens for documents that felt important and does not happen for the hundred smaller pieces of writing where errors are actually embarrassing — the reply to a customer, the release note, the comment on a shared file.
Grammarly wins that ground by removing the decision entirely. Its correction is ambient rather than requested. That is a genuine and narrow advantage, and it collapses the moment your writing is concentrated in one place: if everything you produce is a long document you were going to edit deliberately anyway, an assistant will do more for you and you are paying for ubiquity you do not use.
The comparison with Notion AI makes the same point from the other direction — the two products are separated by where your writing lives, not by how well either one spots a comma splice.
The correction engine handles two categories of suggestion and does not usefully distinguish them for the user. The first is mechanical: spelling, agreement, punctuation, obvious repetition. These are close to objectively right and accepting them without thought is fine.
The second is stylistic: split that sentence, soften that phrase, use the active voice, remove the qualifier, reword for confidence. These are opinions dressed as corrections, and the opinion is a general one about neutral professional English. Applied once, it improves a clumsy paragraph. Applied to everything a team writes, it converges on a middle register — the rhythm flattens, the long deliberate sentence gets broken up, the dry aside gets removed as unclear, and everyone's mail starts to sound like everyone else's.
For most internal writing, that convergence is a fair trade or even a benefit. It is a real cost for anyone whose writing is meant to be identifiable: marketing copy, anything published under a person's name, communication where warmth or bluntness is doing work. Distinguish between people using it for correctness and people using it for voice, and let the second group ignore most of the second category.
The related warning for the enterprise features: a brand-tone or style-guide configuration is a genuine consistency tool, and it is also a mechanism for enforcing sameness at scale. Deploy it where consistency is the goal, not across the whole company by default.
Do not deploy it where the text is confidential by obligation rather than by preference — privileged legal material, regulated personal or health data, anything under embargo — unless your compliance function has reviewed the specific configuration in writing.
Do not buy it as a drafting tool. Generative writing is bundled into it now, and it is fine, but it is not the reason this product is better than the alternatives and it is not where a frontier assistant loses.
Do not deploy it to people who write in a second language and need to learn, without saying so explicitly. Accepting corrections silently is a fast path to fluent output and slow improvement, which may be exactly what you want, but it should be a decision rather than a side effect.
And do not roll it out to an entire organisation because a few teams asked. Ubiquity is the whole product, which means the deployment surface is every application on every machine — a scope worth choosing deliberately rather than by default.
Chat replies, ticket comments, short mail, review notes. This is where ambient correction earns its keep, because these are precisely the pieces nobody would paste into an assistant and precisely where a visible error costs something.
Support and success teams writing quickly to people who will judge the company by the sentence. Correctness matters more than voice here, which makes it the population where accepting almost every suggestion is the right default.
The largest and least-discussed use. It removes a class of error that has nothing to do with competence and quietly changes how a person's contributions are received in writing-heavy organisations.
Flagging that a message reads as curt or combative before it is sent. Treat it as a prompt to reread rather than an instruction to soften, since the suggestion has no idea what the relationship or the history is.
Style-guide and brand-tone configuration on the team tiers, used to keep product names, spellings and forbidden phrasings consistent. Useful where consistency is genuinely the objective; corrosive if applied to writing that is supposed to sound like a person.
A mechanical sweep before a human edit, including the plagiarism check where a submission requires one. It handles the pass that rewards patience rather than judgement, and it is a poor substitute for the pass that rewards judgement.
Grammarly's plan structure is Free, Pro and Enterprise. Free covers real-time grammar, spelling, punctuation and clarity plus a monthly allowance of AI prompts (100/mo at the time of writing), so the generative features are usable without paying. Pro ($12/user/mo billed annually, or $30/mo month-to-month) raises that allowance substantially, adds plagiarism detection and full rewrites, and carries the team features — style guides and brand tones — for teams up to 149 seats. Enterprise (custom) is where the security controls, governance and administrative enforcement live, from 150 seats. Two things matter more than the headline rate. The month-to-month price is far above the annual one, so a short trial is disproportionately expensive. And for any organisational deployment the relevant question is which tier carries the admin controls your security review will ask about, since that — not the AI allowance — is usually what decides the tier. Grammarly has revised both the plan boundaries and the allowances, so confirm current terms on its own pricing page.
Because the advantage is not quality, it is the removal of a decision. Pasting into an assistant is cheap enough that nobody objects and expensive enough that nobody does it for a chat reply or a ticket comment, which is where visible errors actually happen. Grammarly's correction is ambient rather than requested. If your writing is concentrated in long documents you were going to edit deliberately anyway, that advantage does not apply and an assistant will do more for you.
Not whether it reads your text — it has to, that is how ambient correction works. Ask which applications and domains the integration can run on and whether that is centrally enforceable, whether text is retained or discarded after processing, whether organisational content is excluded from model training, and what the retention period is. Those answers depend on the tier and have been revised, so get them from current documentation rather than from a summary. Then exclude the teams whose material is confidential by obligation rather than preference, and allowlist applications for everyone else.
If people accept every suggestion, yes, and the mechanism is worth naming. Mechanical fixes are close to objectively correct. Style suggestions — split this, soften that, use the active voice — are opinions about neutral professional English, and applied across everything a team writes they converge on a middle register. That is a fair trade for internal and support writing. It is a real cost for anything published under a person's name, where the right instruction is to ignore most of the stylistic category.
Full review coming soon.