SEO and marketing decision

Lua Rank

A competent developer can reproduce the core automation (audits, LLM article generation, CMS publishing and schema injection) in about a week and maintain it, but the paid product's claimed authority-building, proprietary visibility scoring and full-scale AEO distribution/relationships are not reproduced simply and are the vendor's durable value.

Visit website
You pay

Not priced

No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.

You’d pay instead

$100one-off38 h to build

$200/mo6 h/mo upkeep

No published price to break even against.

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 Lua Rank alternatives, with the arithmetic →

What a replacement has to do

  • Crawl and audit a website, generate AI-optimized articles, publish articles to target CMS, inject schema/structured data and entity markup, compute and display a visibility score, schedule ongoing content production.

What it still won’t have

  • Proprietary distribution/authority relationships with 'top AI training sources' and any opaque reputation signals
  • White-label multi-brand agency workflows and account-level features
  • Ongoing vendor support, weekly audits and SLA-backed execution
  • Any proprietary visibility scoring telemetry and training data the vendor uses

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

No published price

Lua Rank does not publish a price we could read, so there is nothing to compare against. What building costs is below.

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 an automated AEO prototype: use Next.js for a simple dashboard, Node.js + Express for the backend, Postgres for storage, Redis for job queueing, and host on Vercel (frontend) + Railway (backend/db). Integrate OpenAI-compatible LLM API for content generation and use provider SDK for costs (estimate $200/month). Implement these features in scope: (1) site crawler and technical audit that extracts pages, metadata and produces an initial score; (2) prompt-driven LLM article generator with templates and revision UI; (3) CMS connectors to publish posts to WordPress, Webflow and Ghost via their REST APIs; (4) JSON-LD/schema injection/update for published pages; (5) scheduled worker to run recurring audits and auto-publish pipeline; (6) a dashboard showing visibility metrics and trend charts. Out of scope: training proprietary models, paid placement with AI training sources, enterprise white-label multi-brand billing. Require retries and graceful error handling for API failures, transactional publishing safeguards, basic auth/credential management, and unit + integration tests for crawler, generator pipeline, and publishing connectors.
How we checked4 sources · 2/3 runs agreed · evidence score 60

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 4 cited sources+3
  • Evidence score60

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.

! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat recorded