SEO and marketing decision
Serpstat
A small team can build a useful subset (keyword research, basic rank tracking, site audits) but cannot cheaply reproduce Serpstat's proprietary, large-scale dataset and polished product experience — keep paying for full coverage or build a narrow internal tool.
Visit website↗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
- Crawl or fetch SERPs and keyword volumes, store and index keywords/domains, run scheduled rank checks, run on-page/site audit crawls, expose results via a small web UI and simple JSON API
What it still won’t have
- Breadth and freshness of proprietary index and coverage
- Scale and historical dataset depth (billions of keywords/backlinks)
- Polished integrations, white-label reporting, and team features
- Browser extension and other convenience tools
- Enterprise support, training, and SLA-backed API
What remains hard
- Proprietary data
1.50B Domains 8.62B Keywords 529B Backlinks 5.6B Keywords suggestions 230 Countries 2.21B Google SERPs
- Brand trust
trusted by 1.1M+ users
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 5 seats.
Money you would actually spend
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
Build a self-hosted minimal SEO analytics service using: Node.js (Express) backend, Postgres database, Redis for scheduling, and a React UI. In scope: 1) SERP fetcher module with proxy rotation and parsers for Google/Bing that stores SERP snapshots; 2) Keyword and domain storage schema with historical rank table; 3) Scheduler workers to run periodic rank checks and site-audit crawls; 4) Basic site-audit scanner (HTTP status, meta tags, hreflang, canonical, sitemap check) and report exporter (CSV/JSON); 5) REST API endpoints for keyword lookup, rank history, and on-page audit results; 6) Docker-based deployment and documented env/config. Out of scope: building a billion-row proprietary index, browser extension, white-label reporting, and enterprise-grade multi-tenant billing. Include error handling for network/proxy failures, retries, rate-limit backoff, and unit/integration tests for the crawler, scheduler, and API.
How we checked
How the score was reached
- Partly verdict base52
- 2 cited sources+1
- Hard moats found in the evidence-3
- Evidence score50
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.
- official productSerpstat homepage
- official productSerpstat Features
Integrity checks
What held up, and what did not.
