SEO and marketing decision

Landkit

A competent developer can build the core weekly audit, GSC sync, content-draft, and action-list workflow (the useful DIY subset) in a few weeks, but reproducing LandKit’s multi-model tuned prompts, UX polish, and managed growth services at parity is non-trivial, so keep paying if you value the turnkey multi-engine visibility and managed options.

Visit website
You pay

$79/mo

$948/yr

Read off the official pricing page.

You’d pay instead

$100one-off120 h to build

$200/mo6 h/mo upkeep

On cash alone, building overtakes the subscription at 3 seats.

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

  • Weekly: crawl site + ingest Search Console → run AI-visibility checks across models → produce prioritized Action Plan tasks → generate draft content in Content Studio → export/publish and track results.

What it still won’t have

  • LandKit-managed weekly multi-model scanning and tuned prompts across ChatGPT, Claude, Gemini, and Perplexity as a turnkey service
  • The vendor’s proprietary tuned prompt sets, UI polish, and out-of-the-box Monday action playbook
  • Optional done-for-you managed growth team and human content production offered in Managed plan
  • Integrated one-click onboarding flows and the exact UX described (e.g., 60s draft turnaround, 12-week calendar)

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 3 seats.

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 self-hosted SEO + AI-visibility Growth OS using Next.js (React) for the frontend, Node.js/Express for the API, PostgreSQL for storage, Redis for job queueing, and a crawler (Puppeteer or simple breadth-first HTTP crawler) for site audits. Core features in scope: (1) project onboarding wizard collecting domain + Business DNA, (2) scheduled site crawl and technical SEO audit storing results in Postgres, (3) Google Search Console OAuth sync and ingestion, (4) scheduled multi-model AI-visibility scan runner (pluggable adapters for OpenAI, Anthropic, and a configurable HTTP/JSON adapter to test other engines), (5) Action Plan generator that ranks fixes and provides short how-to snippets, (6) Content Studio that generates draft articles (exportable to Markdown) using LLM responses, (7) a dashboard showing scores, weekly action items, and AI mention cards. Out of scope: managed human services, white-label exports, advanced multi-tenant billing. Require: robust error handling for API failures and crawler timeouts, authentication, background job retries, unit and integration tests for crawl, GSC sync, LLM adapters, and Action Plan generation. Provide Docker compose for local dev and a short deploy script for a single droplet or small cloud VM.
How we checked3 sources · 3/3 runs agreed · evidence score 62

How the score was reached

  • Partly verdict base52
  • 3 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • 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 · 3

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded