Analytics and monitoring decision
Rankr
A minimal Rankr replacement (daily prompt runner, storage, simple metrics, dashboard) is practical for a single engineer using OSS building blocks, but reproducing the full commercial polish, integrations, and managed insights of the paid product is not realistic without more time or vendor features.
Visit website↗Built by Axel Schapmann, who ships 4 products in this index
$29/mo
$348/yr
Read off the official pricing page.
$100one-off50 h to build
$50/mo6 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 Rankr alternatives, with the arithmetic →
What a replacement has to do
- Run a set of customer-intent prompts daily against multiple LLM endpoints, store full answers, extract mentions/sources and sentiment, aggregate metrics (visibility/position/share-of-voice), and display them in a dashboard with per-prompt history.
What it still won’t have
- Polished commercial UX and onboarding
- Guaranteed support, SLA, and priority assistance
- Any proprietary integrations Rankr may run to access certain hosted model endpoints
- AI-generated weekly insights tuned by Rankr's internal rules and heuristics
What remains hard
- Product polish and ongoing maintenance
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 Rankr-lite: use Node.js (Express) + Postgres for backend, Redis + BullMQ for scheduled daily jobs, Next.js for frontend, and deploy to Vercel (frontend) + a small VPS (backend) or Render. Core features in scope: (1) user auth and single-seat account management, (2) prompt management UI to add/edit tracking prompts, (3) scheduler that runs prompts daily against configurable LLM APIs, (4) store raw responses and extracted citations in Postgres, (5) compute and surface visibility/position/share-of-voice and sentiment scores, (6) dashboard with model-by-model trend charts and a live mentions feed, (7) Stripe integration for paid plan. Out of scope: enterprise multi-seat RBAC, advanced AI insight generation, integrations with MCP or proprietary model endpoints, and polished onboarding. Include error handling for API failures, retries, rate-limit backoff, tests for scheduler, parsing, and core API endpoints, and deployment scripts (docker-compose).
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 5 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 · 5
Every page the run actually retrieved.
- official productRankr — Track your brand across AI models
- official pricingRankr Pricing
- official docsRankr Features / AEO Platform
- open sourcelangfuse/langfuse
- open sourceopenobserve/openobserve
Integrity checks
What held up, and what did not.
