Analytics and monitoring decision

SISTRIX

A narrow replacement (keyword rank checks, a simple visibility score, history and basic crawler) is realistic for a competent engineer in about a week, but you cannot reproduce SISTRIX's proprietary dataset, historical depth, or scale without significant time and data costs—so keep paying if you need full-scale coverage.

Visit website
Subscription$119/month ✓ verified
Initial build30 hours
Monthly upkeep8 hours + $100
Evidence2/3 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

  • Collect SERP positions for a set of keywords, compute a simple visibility score, store historical positions, surface domain/keyword reports and run an on-page crawler for a project.

What it still won’t have

  • Proprietary dataset (visibility index across 100M+ domains and long historical depth)
  • Scale (fast queries across huge keyword/domain sets)
  • Built-in credit/usage model and integrations provided by SISTRIX

What remains hard

  • Proprietary dataYou’ll get access to the Visibility Index of over 100 Million Domains in 30+ countries.
  • Proprietary dataData from over 100 million domains is analysed and presented in fractions of a second.
  • Infrastructure at scaleSISTRIX MCP Servers: Now available for all SISTRIX users
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 1 seat.

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 SEO visibility tracker using Node.js + Express, Postgres, and a headless-browser or SERP API. Implement: (1) keyword scheduler that queries SERPs and stores top-100 positions; (2) visibility-index computation (weighted sum of ranks); (3) domain and keyword history endpoints (JSON + CSV export); (4) a small React UI to view domain overview, keyword trends and run an on-page crawl for a project (JS-rendered page checks). Out of scope: recreating SISTRIX's 100M-domain dataset, enterprise multi-tenant role/audit features, and advanced content-marketing tooling. Include error handling, retry/backoff for API calls, credit usage logging, and unit tests for core functions.
How we checked3 sources · 2/3 runs agreed · evidence score 52

How the score was reached

  • Partly verdict base52
  • 3 cited sources+3
  • Price verified on pricing page+3
  • Hard moats found in the evidence-6
  • Evidence score52

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 · 3

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! 3 moats quoted from the page