SEO and marketing decision
LocalRank.so
A capable engineer can reproduce a usable rank tracker, LLM-mention monitor, and citation-submission automation in-house, but they cannot easily replicate LocalRank's large proprietary datasets, citation distribution network, nor enterprise polish—so building a narrow replacement is realistic, full parity is not.
Visit website↗$57/mo
$684/yr
Read off the official pricing page.
$100one-off80 h to build
$150/mo8 h/mo upkeep
On cash alone, building overtakes the subscription at 3 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 LocalRank.so alternatives, with the arithmetic →
What a replacement has to do
- Track local rankings and LLM mentions for a set of businesses, store results, run audits and generate citation submissions, and provide a dashboard/reports.
What it still won’t have
- Large proprietary datasets (verified contacts, existing citation placements)
- Established distribution/placement network for automated citation submissions
- Scale and historical data (millions of citations and rank-history at scale)
- White-label polish and enterprise support/SLAs
What remains hard
- Proprietary data
15M+ verified business contacts
- Proprietary data
2.3M Citations built
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 3 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 local-SEO dashboard using: Postgres, Node.js (Express) backend, React frontend, and Redis for job queueing. Core features in scope: 1) import/manage businesses and locations; 2) scheduled geogrid rank checks via a SERP API (or configurable scraper) and store time-series results; 3) query multiple LLM APIs to detect LLM mentions for a business and store visibility scores; 4) generate citation submission jobs that POST to directory endpoints or produce formatted submission payloads; 5) user dashboard with history, CSV/PDF export, and scheduled email reports. Out of scope: building a paid citation placement network or acquiring large contact databases. Include retries, rate-limit handling, logging, unit and integration tests, and Docker-compose for deployment.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 2 cited sources+1
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Hard moats found in the evidence-3
- Evidence score62
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 productLocalRank homepage / pricing
- open sourceGBP Audit Bot (prior art)
Integrity checks
What held up, and what did not.
