Writing and content decision

Skribra

A technical user can build a narrow replacement (keyword->LLM article->publish->basic refresh rules) in a few months, but recreating Skribra's complete autopilot (multi-agent maintenance, turnkey integrations, and planned backlink exchange) is larger and not practical for a single developer to match.

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Subscription$19/month ✓ verified
Initial build80 hours
Monthly upkeep10 hours + $50
Evidence3/3 runs agree

No open-source build does this yet

Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.

What a replacement has to do

  • Automate keyword discovery -> generate long-form article with an LLM -> publish to CMS via API -> monitor Search Console/analytics and trigger targeted refreshes

What it still won’t have

  • Skribra's multi-agent automated maintenance workflow
  • Built-in DataForSEO integration and pre-scored keyword calendar
  • Turnkey integrations and publishing polish for multiple CMSs
  • Any proprietary tuning or quality-tier writing models and priority support
  • Planned contextual backlink exchange (early access feature)

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 4 seats.

Paid seatsseats

Money you would actually spend

Keep paying

Subscription price × seats × 12

Build it

AI build APIs + hosting

Time you would spend

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a hosted minimal SEO content autopilot using: Node.js (or Python) backend, Postgres, a simple React admin UI, and deploy on a single VPS (or small cloud instance). Core features in scope: (1) ingest keyword data from DataForSEO (or open SERP API) and compute a ranked content calendar; (2) generate long-form articles via OpenAI (or compatible) with inline source citations and store article HTML in Postgres; (3) publish posts to WordPress (and one other CMS) via their REST APIs; (4) basic monitoring of Google Search Console API and a rules engine to flag/refresh underperforming articles; (5) automatic JSON-LD insertion and internal link suggestions. Out of scope: a proprietary backlink exchange, enterprise multi-tenant governance, or multi-language full localization. Require: error handling for failed publishes and API limits, retries and queuing, background worker for generation/publishing, and automated tests for the pipeline (unit + end-to-end for publish path).
How we checked2 sources · 3/3 runs agreed · evidence score 60

How the score was reached

  • Partly verdict base52
  • 2 cited sources+1
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Evidence score60

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time — so the same evidence always produces the same number.

How scoring works →

Cited sources · 2

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded