Compare · read 21 July 2026
Four content licences, or one pipeline.
A ten-writer team running the usual content stack pays $916.00 a month at the tiers those vendors publish. Most of it is one line: writing seats. The interesting question is not whether a consolidated pipeline is cheaper, because at this size it obviously is. It is whether it does the parts that decide whether the article gets cited, and where the licences still beat it.
So the prices link to each vendor's own page with the date they were read, the seat arithmetic is printed rather than folded into a total, and there is a section below on where the licence stack wins. The first-party study underneath is published on gregshevchenko.com.
On this page
4 licences at published tiers · 7 pick-one alternatives, none of them summed · the three places the stack wins.
The stack
$916.00 a month, read on one day.
Published tiers only. Where a row multiplies by seats or divides an annual licence, the arithmetic is next to it. Prices move, which is why the date is on the total rather than a year on the page.
| Licence | Published tier | Per month | How the number is built |
|---|---|---|---|
| Jasper AI | Pro × 10 seats | $590.00 | published $59 per seat on annual billing × 10 seats |
| Surfer SEO | Business | $219.00 | published Business tier; its price renders in the browser, not in the served HTML |
| Originality.ai | Pro + 9 extra seats | $104.50 | published $14.95 base plus 9 × $9.95 per extra seat |
| Тургенев (Ashmanov) · RU market coverage | subscription, 200 checks/mo | $2.50 | published subscription at 200 ₽/mo |
| Published subtotal | $916.00 | read 21 July 2026 | |
One line is missing on purpose. Enterprise fact-check tooling belongs in a serious content stack and no vendor in that class publishes a price. We hold an internal estimate near $100 a month and it stays internal. The same discipline governs the whole-stack roll-up, where two such lines are named and never added.
Same shelf
Pick-one alternatives, not additions.
A team buys one writing tool and one scoring tool, not all of them. These are shown at the price each vendor publishes, per seat, before the ten-seat multiplication the bundle above assumes. Nothing here is summed into anything.
| Tool | Category | Published |
|---|---|---|
| Copy.ai | AI writing | entry $29 |
| Writesonic | AI writing | $99 |
| Anyword | AI writing | Platform $49 per seat |
| Clearscope | Content scoring | Essentials $129 |
| Frase | Content scoring | entry $29 |
| MarketMuse | Content scoring | no price on any tier |
| GPTZero | AI-text detection | Premium $12.99 · Professional $24.99 |
MarketMuse carries no number because it publishes none on any tier: every plan is a demo request. That is a legitimate way to sell software and a bad thing to guess at, so the row says so instead of estimating.
The assumption
Almost all of it is seat count.
The subtotal above assumes ten people writing. That single assumption carries most of the difference, so here is the same stack at other team sizes, computed from the same published per-seat prices rather than asserted.
| Writers | Same four licences, per month | What moves |
|---|---|---|
| One | $295.45 | writing seats and detection seats; scoring and text-quality stay flat |
| 3 | $433.35 | writing seats and detection seats; scoring and text-quality stay flat |
| 5 | $571.25 | writing seats and detection seats; scoring and text-quality stay flat |
| 10 | $916.00 | the figure this page uses |
Read the bottom of that table before the top. At one writer the stack is under $300 a month and a consolidation argument built on licence cost is weak — the reason to change would be the capability list further down, not the invoice. The cost argument only becomes the main argument somewhere around five seats, and it gets stronger from there because two of the four lines do not scale with headcount at all.
Languages
One pipeline, two languages
The same API drafts, scores and fact-checks in English and in Russian. The commercial tools in this category are one or the other, so a bilingual team runs two stacks and reconciles two quality bars by hand.
Quality
Nine scoring layers, not one score
A draft is scored on structure, citability, repetition, rhythm, editorial register and more, with an AI-text detection ensemble on top. A single composite number tells you a draft is weak; layered scores tell you which sentence to rewrite.
Selection
Best-of-N with a judge, not first draft
Several drafts are generated and an LLM judge picks between them on explicit criteria before a human sees anything. Writing tools give you one draft and a regenerate button.
Grounding
Fact-check against your own knowledge base
Claims are checked against a client-private corpus, not only against the open web. That is what stops a confident sentence about your own product from shipping wrong.
Loop
The measurement comes back
A published page returns to the visibility scanner, so the next brief is written against what the engines actually cited. A writing tool ends at the draft and has no idea what happened next.
Ceiling
Spend has a hard limit
Model routing splits into a paid chain for hard work and a free chain for utility, with a ceiling on the monthly bill. Per-seat licences scale with headcount whether or not the seats write anything.
Against us
Where the licence stack still wins.
The editor. Writers work in a polished interface with revision history, comments and a preview. We do not have one and are not pretending otherwise: drafts arrive as files and are edited wherever your team already edits. If the writing experience is the thing your team complains about, the licence wins that argument.
Support and replaceability. A subscription comes with somebody to email, and any single tool can be swapped without touching the others. A consolidated pipeline is a single point of failure by construction. That is a real trade-off, and the honest version of the pitch names it rather than calling it "integration".
Our Russian detection is weaker than our English detection. On our own corpus the AI-text ensemble reaches AUROC 0.977 in English and 0.749 in Russian. The second number is the kind a vendor normally leaves out of a comparison page. Use the English score as a gate; treat the Russian one as a hint that a human still has to confirm.
What does not appear on either side of this comparison is the person operating it. Neither $916.00 of licences nor a pipeline writes a content plan or decides which gap is worth this month. The roll-up page takes that argument apart with both cost bases published.
Questions buyers actually ask
Content-stack questions, answered directly.
What exactly is in the $916.00?
Four licences at the tiers their vendors publish, read 21 July 2026: an AI writing tool at ten seats, a content-scoring tool, an English AI-text detector at ten seats, and a Russian text-quality service. The arithmetic behind each row is printed in the table, so a disagreement about team size is visible rather than buried.
Why is enterprise fact-check tooling not in that number?
Because no vendor in that class publishes a price. Our internal estimate is about $100 a month and it stays internal. On 21 July our own research pass found five errors in our competitor sheet, four of them flattering to us, and an estimate of somebody else's price is the fastest of those for a reader to disprove.
Is this an apples-to-apples comparison?
Partly, and the parts that are not are marked. The bundle assumes ten writing seats, which is where most of the money goes; a two-person team pays far less. The alternatives are shown at their published entry price per seat, before that multiplication. What is genuinely comparable is the capability list, not the totals.
Where does the licence stack win?
Three places, honestly. It gives writers a polished editor to work in, which we do not; it has support you can phone; and each tool is separately replaceable if you dislike one. A consolidated pipeline is a single point of failure by construction, and that is a real trade-off rather than a talking point.
How good is the AI-text detection, really?
Measured on our own corpus, the ensemble reaches AUROC 0.977 in English and 0.749 in Russian. The Russian number is materially weaker and we publish it because a detector you trust blindly on Russian text will mislead you. Treat the English score as a gate and the Russian one as a hint.
Can I keep one of these tools and still use the pipeline?
Yes, and several clients do. The usual pattern is keeping the content-scoring subscription because the team already works in it, and dropping the writing seats. Nothing here requires an all-or-nothing switch.
Not sure which half you actually need?
Thirty minutes that opens with a citation map for your category, and an honest read on whether the problem is your content volume, your content quality, or neither.