SEO and marketing decision
Surfeo.ai
A capable technical user can build a useful limited replacement (site crawler + LLM audits + content generation) in a few weeks, but reproducing the full commercial product (multi-LLM integrations, agency features, historic rankings and production polish) is larger work better served by the vendor.
Visit website↗Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$100one-off50 h to build
$200/mo6 h/mo upkeep
No published price to break even against.
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
- Crawl a site, audit how LLMs cite it, generate Q&A-style content via LLMs, store results, run scheduled re-audits and surface a score/dashboard.
What it still won’t have
- Proprietary integrations and any vendor relationships to access multiple closed LLMs out of the box
- Scale, SLA-backed reliability and operational polish of a mature SaaS
- Agency features and built-in billing/multi-client workspace polish
- Historic datasets and aggregated industry rankings the vendor may maintain
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
Surfeo.ai 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
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 Surfeo-like service using Next.js (React) frontend, FastAPI backend, Postgres for storage, Celery + Redis for background jobs, and Docker for deployment. Core features in scope: (1) site crawler that reads robots.txt and sitemap and extracts page text, (2) an audit worker that calls LLM APIs (configurable OpenAI/Gemini endpoints) with reproducible prompts to check whether/where the site is cited and produce a 0–100 GeoScore, (3) a content generator endpoint that creates Q&A-style articles via the LLM API, (4) store audit results, generated content and competitor snapshots in Postgres, (5) scheduled weekly audits and email report sender, (6) a simple dashboard showing score, recommendations and competitor list. Out of scope: multi-tenant agency billing UI, built-in integrations for proprietary closed LLMs beyond configurable API keys, large-scale crawling infrastructure. Include robust error handling, retries for API calls, rate-limit handling, unit tests for core backend logic, and integration tests for the crawl->audit->store flow. Provide Docker Compose and basic deployment docs for a single VPS.
How we checked
How the score was reached
- Partly verdict base52
- 3 cited sources+3
- Evidence score55
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.
- official productSurfeo — official product
- official pricingSurfeo — pricing / login
- official docsSurfeo — features/login
Integrity checks
What held up, and what did not.
