Analytics and monitoring decision
Analyse
Buildable for a technical user to reproduce the analytics and basic SEO-draft automation, but the full polished product (AI copilot, MCP server, rank-tracking, publishing polish and team features) is larger and would take more engineering to match the paid offering.
Visit website↗$29/mo
$348/yr
Read off the official pricing page.
$100one-off63 h to build
$120/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 5 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 Analyse alternatives, with the arithmetic →
What a replacement has to do
- Collect site events, ingest Search Console data, schedule LLM-driven SEO drafts, and publish to CMS
What it still won’t have
- Polished, integrated AI+analytics UX and product polish
- Built-in rank-tracking, alerting, and multi-site scaling that the SaaS includes
- Proprietary training data, curated SEO prompts, and any internal MCP server optimizations
- Priority support, SLAs, and team-oriented features (SSO, white-label, dedicated CSM)
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 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 minimal, self-hosted privacy-first analytics + SEO draft generator using Next.js for the frontend, Node/Express for the API, Postgres for events and metadata, BullMQ (Redis) for scheduled jobs, and OpenAI-compatible API for LLM calls. Core features in scope: (1) a lightweight client tracking script and events ingestion endpoint, (2) basic funnel and retention queries + a small React dashboard to show funnels/cohorts, (3) Google Search Console ingestion job and mapping to pages, (4) scheduled job that generates an article draft via the LLM API using page + GSC context and saves drafts to DB, (5) one-click publish to WordPress/Ghost via REST API and an approval UI. Out of scope: building a custom LLM, full rank-tracking system, multi-tenant billing, enterprise SSO, and advanced IR/ML pipelines. Include environment configuration, error handling, retries, unit tests for API endpoints, and an integration test for the publish flow.
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
- 3/3 assessment runs agreed+4
- Evidence score67
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 productAnalyse — Website Analytics, SEO Insights & an AI Copilot
- official pricingPricing — Analyse Web Analytics
- official docsKnowledge Base — Analyse Web Analytics
- open sourcematomo-org/matomo
- open sourcePostHog/posthog
Integrity checks
What held up, and what did not.
