SEO and marketing decision

ChatSEO

A competent developer can rebuild the core keyword-research + GSC integration and LLM brief/publish workflow (the most useful subset) using available APIs and the cited open-source prior art; reproducing the full polished SaaS (connectors, UX, reporting, managed credits/support) is much more work.

Visit website
You pay

$29/mo

$348/yr

Read off the official pricing page.

You’d pay instead

$100one-off80 h to build

$250/mo8 h/mo upkeep

On cash alone, building overtakes the subscription at 9 seats.

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All ChatSEO alternatives, with the arithmetic →

What a replacement has to do

  • Query keyword market data, surface GSC opportunities, prioritise keywords, generate an on-page brief using an LLM, and publish/patch content to the user's CMS

What it still won’t have

  • Polished multi-feature UI and built-in credit/workspace management
  • Managed connectors and auto-publish UX to multiple CMS platforms
  • Priority support, onboarding and account management
  • Any proprietary behind-the-scenes automation and integrated reporting dashboards

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 9 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 minimal self-hostable AI SEO assistant (Next.js frontend, Node.js API, Python worker, Postgres DB). In scope: OAuth integration with Google Search Console, DataForSEO API client, a keyword prioritisation service that merges GSC+DataForSEO results, LLM-powered brief/content generation using OpenAI-compatible API, WordPress publish via REST API, simple workspace and credit tracking, and a basic UI to run analyses and view prioritized keyword lists. Out of scope: multi-tenant billing, multi-CMS parity beyond WordPress, advanced backlink analysis, full audit tooling, and production-grade analytics dashboards. Include input validation, error handling, logging, and unit tests for API endpoints and the prioritisation logic.
How we checked4 sources · 2/3 runs agreed · evidence score 63

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 4 cited sources+3
  • Price verified on pricing page+3
  • Evidence score63

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 · 4

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat recorded