Orakul vs. Claude Cowork vs. ChatGPT Business vs. n8n: the detailed comparison

If you're weighing this decision, you've probably already been sold to by three vendors who each described their product as the obvious answer. The real question isn't which tool is best — it's which one fits an agency that runs a stream of similar work across many clients, on deadlines, with data that belongs to those clients. Below is the full comparison we use internally for exactly that conversation, including the rows that don't favor us. Split by topic, with a contents list on the side so you can jump straight to whichever criterion decides it for you.

Deployment

	Orakul	Claude Cowork	ChatGPT Business	n8n + API	Junior hire
Deployment complexity	low — we deploy and configure it	low — self-serve prompt setup	low — same as Claude	high — needs an engineer to build the flows	medium — hiring and onboarding, 2–3 months
Time to launch	1 business day	1 day	1 day	2–6 weeks	2–3 months
Needs a developer	no	no	no	yes, ongoing	no
Who fixes what breaks	we do, 4-hour SLA	vendor support	vendor support	you do	the employee

Capabilities

	Orakul	Claude Cowork	ChatGPT Business	n8n + API	Junior hire
Built-in tools out of the box	pre-configured roles — SEO analyst, support, copywriter, legal, market analyst — plus a knowledge base	base chat + Projects	base chat + custom GPTs	nothing pre-built — assembled by hand from 400+ nodes	depends on the person
PDF and finished-file generation	yes — the agent delivers a finished PDF/DOCX/spreadsheet as the task output	no, chat text only	no, chat text only (needs a third-party converter)	buildable yourself with extra nodes	yes, by hand
Scheduled work	built in	limited	no	yes, but needs configuring	yes
Multi-user access & roles	unlimited	within seat plan	billed per seat	depends on the instance	1 person = 1 role
Ready-made integrations	GSC, Yandex Metrica, PageSpeed, Ahrefs (Rapid), Bitrix24, plus site parsing, Google search and an MCP browser-automation server (Playwright/Chromium) — standard for every agent	a limited connector set	limited (Actions)	any of 400+ nodes, but needs configuring	manual
Shared company knowledge base	yes, one base for every role	partial (Projects)	partial (custom GPT knowledge)	no, you build it yourself	in the employee's head
Delivers a finished file, not a plan	yes	yes	partially	you assemble it yourself	yes

Data & providers

	Orakul	Claude Cowork	ChatGPT Business	n8n + API	Junior hire
Where data lives	on your server	vendor cloud	vendor cloud	depends on setup	with you
Source code is yours	yes, immediately	no	no	yes, but it's your build	—
Choice of AI provider	4 to choose from, switch per task	Anthropic only	OpenAI only	any, configured manually	—
Role limit	unlimited	within plan	billed per seat	unlimited	1 person = 1 role

Skills & support

	Orakul	Claude Cowork	ChatGPT Business	n8n + API	Junior hire
Skills your team needs	none — we train the team in an hour	basic prompt engineering	basic prompt engineering	a standing no-code/dev engineer	onboarding from scratch

Total cost over two years

	Orakul	Claude Cowork	ChatGPT Business	n8n + API	Junior hire
Cost, 2 years	$7,580	from ~$3,900	from ~$3,250	~$5,200	$22,000

The rows on time-to-launch, data location, source code, provider choice, role limit and total cost match the condensed table on the homepage; everything else here is the added detail for anyone comparing seriously.

How to read this table

Green (a checkmark) marks an objective advantage on that specific line; red (an X) marks an objective drawback. Cells left unmarked mean "comparable" or "depends on your specific setup" — we deliberately didn't paint those green just to pad the score.

The takeaway isn't that Orakul wins on every line — per-seat, a cloud subscription is cheaper for one person with one task. The gap opens up where the task volume is high, the tasks are varied, and the data is a client's: that's where "tools built in" and "no developer needed" outweigh a lower subscription sticker price.

1 business day

≈ $600 per month less than a junior hire

One business day to a working agent, against 2–6 weeks assembling an n8n pipeline and 2–3 months to onboard a junior. On cost this is a portfolio-wide figure, not a per-client one: $22,000 versus $7,580 over two years — a $14,420 difference, about $600 a month.

Максим Сафьянов

I build Оракул: a self-hosted AI-agent orchestrator for digital and SEO agencies — unlimited roles, your own server, source code handed over at setup.