SEO and marketing decision

Check Position

A single developer can build a useful rank-tracker (using existing OSS like serpbear), but reproducing the vendor's multi-datacenter precision, polished UI/mobile app, long history storage, and commercial support is significant operational work; keep paying for full product unless you only need a narrow tracker.

Visit website
You pay

$15/mo

$180/yr

Read off the official pricing page.

You’d pay instead

$100one-off120 h to build

$100/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 8 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 Check Position alternatives, with the arithmetic →

What a replacement has to do

  • Schedule periodic keyword checks against Google (via proxies), store historic positions, present dashboards and SERP details, allow CSV export and a minimal API for creating monitors.

What it still won’t have

  • Polished mobile app and responsive UI polish
  • Operational proxy infrastructure and datacenter coverage (precision across 7 Google datacenters)
  • Built-in Slack support and vendor support
  • SLA, commercial billing, and fraud/abuse protections at scale
  • Years of historical data and analytics tuning

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 8 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 Google rank-tracking SaaS using Node.js (Express) + Postgres + React. Core features in scope: (1) worker scheduler that issues Google SERP queries via a configurable proxy pool and stores ranked results per keyword; (2) datamodel for monitors, keywords, daily positions, and SERP snapshots; (3) REST API endpoints to create/delete monitors and fetch latest/history; (4) React UI to add monitors, view position charts, SERP detail comparisons between two dates, and CSV export; (5) simple subscription enforcement limiting keywords per account and an admin page to view usage. Out of scope: integrated payments/billing provider UI (provide hooks only), mobile native app, and analytics beyond basic charts. Require error handling for network/proxy failures, retries/backoff, tests for worker, API, and UI components, and Docker-based deployment configuration.
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