Grammarly vs Machined in 2026: Polishing sentences vs publishing content clusters
One tool sits inside your existing writing and fixes it as you go. The other takes a topic, researches it, writes thirty interlinked articles, and pushes them to your CMS before lunch.
Grammarly
Machined- Grammarly corrects and rewrites text you already wrote across 500,000+ apps and websites; Machined generates entire content clusters from a topic with no starting draft required.
- Machined's BYOK pricing model puts the cost of 30 generated articles at roughly $38 in API fees on top of a $19/month platform subscription.
- Grammarly Pro costs $12/month per seat billed annually and caps AI text generation at 2,000 prompts a month; it has no content cluster or keyword clustering feature at any tier.
- Machined automatically prevents keyword cannibalization by clustering keywords around distinct search intent before writing, a step Grammarly has no equivalent for.
- Grammarly is the only one of the two with SOC-2-adjacent enterprise controls: SAML SSO and data loss prevention on its Enterprise tier.
- Machined requires managing your own OpenAI-style API key for article generation, which adds setup friction that Grammarly, a fully hosted product, does not have.
- Machined offers a free tier (5 articles/month, 1 project) and a 3-day trial of the Launch plan; Grammarly's free plan has no article-cluster equivalent since it was never built to generate long-form content from scratch.
Grammarly and Machined barely compete for the same job. Grammarly lives in your browser and desktop apps, correcting grammar, adjusting tone, and rewriting paragraphs inside whatever you are already writing, whether that is a Gmail draft or a Google Doc. Machined starts from a blank topic and a target audience, then runs keyword research, clusters intent, writes an entire batch of SEO articles with citations, links them together, and publishes the lot to WordPress or Webflow. Grammarly assumes a human is producing the first draft. Machined assumes the human shows up at the review stage, if at all. Picking between them is really a question of whether you need better sentences or more content.
The tools at a glance
Grammarly
AI writing assistant for grammar, clarity, tone, and brand consistency across every platform you write on
Grammarly does not care what you are writing or where. It rides along as a browser extension, desktop app, and Word plugin, watching for grammar mistakes, awkward phrasing, and tone mismatches in real time. That ubiquity, more than any single feature, is why 40 million people use it: the corrections show up in Gmail, Slack, LinkedIn, and Google Docs without requiring anyone to change how they work.
On Pro, Grammarly goes past red-squiggle corrections into full paragraph rewrites, tone adjustment toward a target register, and both plagiarism and AI-content detection. None of this replaces a writer. It assumes a human already produced a draft and just needs it tightened, and 2,000 AI generation prompts a month cover incidental drafting help rather than bulk output.
Enterprise customers get a different tool entirely: unlimited style guides, unlimited custom brand tones, SAML SSO, and data loss prevention, aimed at keeping hundreds of writers inside one voice. That is a governance product. It has nothing to say about keyword research, content clustering, or publishing pipelines, because none of that is what Grammarly is built to do.
| Feature | Free $0/mo | Pro $12/mo (annual) | Enterprise Contact sales |
|---|---|---|---|
| Grammar and spelling corrections | ✓ | ✓ | ✓ |
| Full paragraph rewrites | ✗ | ✓ | ✓ |
| Tone adjustment | ✗ | ✓ | ✓ |
| AI text generation prompts | 100/mo | 2,000/mo | Unlimited |
| Brand tones | ✗ | 1 | Unlimited |
| SAML SSO / data loss prevention | ✗ | ✗ | ✓ |
Machined
Automates the full SEO content cluster workflow from keyword research and clustering to article generation, internal linking, and CMS publishing in under two hours
Machined starts where Grammarly's job ends: it takes a bare topic and a target audience and runs the entire SEO production line itself. Keyword research, intent clustering to avoid articles competing against each other, pillar-and-supporting article generation with citations, automatic internal linking, and a one-click publish to WordPress or Webflow all happen inside a single workflow that the platform claims takes under two hours instead of the five days a team would normally spend.
The pricing model is the part that raises eyebrows the first time you see it. Machined's subscription, starting at $19/month for 30 articles, only covers the workflow orchestration. You connect your own AI API key and pay that provider directly, which the company estimates works out to about $38 for a 30-article cluster. It is unusual, but it means the platform's margins are not baked into every word generated.
The tradeoff for all that automation is that Machined is not a place you go to polish a sentence. It is built around clusters, not single documents, and the output benefits from human review before anything sensitive or YMYL-adjacent goes live. Support resources are also thinner than a company the size of Grammarly can offer, which is the ordinary cost of being newer and narrower.
| Feature | Free $0/mo | Launch $19/mo | Growth $49/mo | Pro $99/mo | Scale $249/mo |
|---|---|---|---|---|---|
| Articles per month | 5 | 30 | 100 | 250 | 750 |
| Content clusters | ✗ | ✓ | ✓ | ✓ | ✓ |
| Deep research | ✗ | ✓ | ✓ | ✓ | ✓ |
| Unlimited CMS connections | ✗ | ✓ | ✓ | ✓ | ✓ |
| Team members | 1 | 2 | 3 | 5 | 10 |
Head-to-head feature comparison
| Feature | Grammarly | Machined |
|---|---|---|
| Primary function | Writing correction and rewriting | Content cluster generation and publishing |
| Generates full articles from a topic | No, works only on text you supply | Yes, from topic to finished cluster |
| Grammar and clarity correction | Yes, real-time across 500,000+ apps | Not a dedicated feature; output quality depends on the connected AI model |
| Keyword research | Not a feature | Yes, automated SERP-based research |
| Anti-cannibalization clustering | Not a feature | Yes, built into the clustering step |
| Automatic internal linking | Not a feature | Yes, keyword-optimized anchor text across the cluster |
| CMS publishing | Not a feature | Yes, WordPress, Webflow, and webhooks |
| Brand voice / style guide enforcement | Yes, unlimited brand tones on Enterprise | Not a feature |
| Team seats | Per seat | Team members, not per-seat |
| Free tier | Yes, unlimited character grammar checking | Yes, 5 articles/month, 1 project |
| Entry price | $0/mo, Pro at $12/mo per seat | $0/mo, Launch at $19/mo |
Which should you choose?
GrammarlyMachinedGrammarlyMachinedGrammarlyMachinedGrammarlyIt is tempting to frame this as a spectrum with Grammarly on one end and Machined on the other, but that undersells how differently they are built. Grammarly has no concept of a keyword cluster or a content calendar; it reacts to whatever you paste in front of it. Machined has no concept of tone consistency across a writing team; it assumes the AI model you connect will handle voice well enough, with human review as the safety net. Neither company is trying to solve the other's problem, and pretending they overlap more than they do just leads to disappointment either way.
Bottom line
If your bottleneck is quality control on writing that already exists, whether from your team or from an AI draft, Grammarly is the better $12 a month you will spend. If your bottleneck is that nothing exists yet and you need thirty interlinked, published articles by Friday, Machined at $19 a month plus API costs is going to get you there faster than any human-in-the-loop workflow, Grammarly included. Most serious content operations will eventually want both: Machined to produce the volume, Grammarly (or a human editor) to catch what the automation missed before it goes live.
Frequently asked questions
Can Machined replace Grammarly for editing generated articles?
Machined does not include a grammar-checking or line-editing layer, so it cannot replace Grammarly for that job. Machined's job ends at generating, linking, and publishing a cluster; if you want a second pass of grammar and tone correction on the output, running it through Grammarly or a human editor afterward is a reasonable extra step, not a redundant one.
Is Grammarly able to generate a full blog post from a keyword the way Machined does?
Not really. Grammarly's AI generation is capped at 100 prompts a month on Free and 2,000 on Pro, and it has no keyword research, clustering, or CMS publishing features at any tier, so it is not built to take a bare topic and produce a finished, SEO-structured article the way Machined is.
Why does Machined require my own API key instead of just charging more per article?
Machined's bring-your-own-key model is a deliberate pricing choice: you pay your AI provider directly for generation (about $38 for a 30-article cluster, per the company's own figures) and pay Machined separately for the workflow, clustering, and publishing infrastructure starting at $19/month. It keeps per-article costs close to raw API pricing instead of adding a platform markup on every word generated, at the cost of some setup friction for less technical users.
Does Grammarly have any keyword or SEO clustering features I am missing?
No, Grammarly has no SEO optimization, keyword clustering, or content scoring features at any plan tier. It is exclusively a grammar, clarity, tone, and rewriting tool; teams that need SEO clustering alongside grammar correction will need a second tool like Machined or a dedicated SEO content platform.
Is Machined worth it for a solo blogger publishing one or two posts a week?
It can be, mainly because of the free tier: 5 articles a month with 1 project costs nothing, which covers a modest weekly cadence without hitting the BYOK setup at all. Once you outgrow that and want the clustering and internal linking to kick in, the $19/month Launch plan is still cheap enough for a solo operator to justify against the time saved on manual keyword research.
Which tool is better for a non-technical marketer with no API experience?
Grammarly is the easier of the two for a non-technical user because it works immediately after installing a browser extension, with no API keys or account connections required at any tier. Machined's core value depends on the BYOK model for cost efficiency, which means a non-technical marketer either has to get comfortable generating and pasting in an API key or accept less economical pricing on higher plan tiers that still bundle generation costs in.