AI Content Marketer

One idea in, a LinkedIn post, X thread, blog draft and newsletter out. Role: Content Marketer.

Example shift, AI Content Marketer · drafts wait for your reviewSynthetic example data

10:00
Idea: “Why we stopped cold calling”LinkedIn post, 182 words, 3 alternative hooks
Draft ready
10:01
X thread, 6 postsSame idea, written for X, not pasted from LinkedIn
Draft ready
10:02
Blog draft: title, meta description, outline, 900 wordsSEO title under 60 characters
Draft ready
10:03
Newsletter: subject, preview line, bodyIn your brand voice settings
Draft ready
10:03
Source link had no figuresWrote around them instead of inventing numbers
Logged

Example week at “content team” volume: ≈ 6.0 h of first-pass work taken over (estimate)Open the setup guide

Implementation in your business

Next to your content calendar: you drop an idea (and an optional source link) into a sheet; it writes every format back to the same row.

Where it plugs in

Turns each idea into channel-native LinkedIn, X, blog (SEO title, meta, outline, draft) and newsletter content in your voice.

What it needs

n8n (Cloud or self-hosted)
Google Sheets
OpenAI API key
Brand, audience and voice notes (Config)

What it outputs

LinkedIn post + 3 hooks
X thread
Blog title, meta, outline and draft
Newsletter subject, preview and body

Time saved (estimate)

≈ 26 h

per month at 3 ideas a week, 150 min by hand vs 30 min review. See assumptions.

Setup: about 15 minutes on n8n Cloud

Three steps, no code. The setup guide has the full checklist.

Step 1 · 1 min

Pick the AI Content Marketer

Start the trial on Starter (this employee) or Workforce (all five). The download link and guide arrive by email.

Plans

Step 2 · 3 min

Import it

n8n Cloud or self-hosted: Workflows → Import from file. No n8n? Paste the instructions into a Custom GPT or Claude Project.

1 workflow file
Sheet template (CSV)

Step 3 · 10 min

Connect your tools

Google Sheets
OpenAI
Config: your details and rules

Full setup checklist

How it works

Import-tested and test-executed with stubbed services on n8n 2.44 before release.

Channel-native, not copy-paste. Each format has its own rules (length, hook, structure) so the LinkedIn post doesn't read like a blog intro.

No invented facts. The model may only use your idea, notes and source text. It's told to write around missing numbers, never to make them up.

You stay the editor. Everything lands in a sheet for review; nothing is posted.

What you get

ai-content-marketer.n8n.json: Ideas tab (status = new) → optional source URL fetch → LLM writes 4 formats + 3 alternative hooks → written back to the sheet.
No-code version: Custom GPT / Claude Project instructions
Prompt library, sheet templates and a PDF setup guide

What it's worth to you

The value is time: the employee does the first pass and you keep the review. Two worked examples, every input an assumption:

Estimates from the assumptions in the table, not measured results. Manual minutes = writing first drafts of all four formats yourself. Review minutes = editing the agent's drafts. No claims about reach, followers or traffic.
Assumption (estimate)	Solo founder	Content team
Ideas turned into content per week	1	3
Manual minutes per idea	90	150
Review minutes (you still review)	25	30
Share the employee handles	100%	100%
Hourly cost of whoever does it	$40	$60
AI running cost per idea	$0.10	$0.10
Hours taken over per week	1.1 h	6.0 h
Value of that time per month, after AI costs	≈ $187	≈ $1,559
After the $19 Starter plan	≈ $168	≈ $1,540

Try your own numbers

AI employee

Items per week

Minutes per item, done by hand Time yourself on 3 real examples.

Hourly cost of whoever does it ($)

More assumptions

Minutes to review each output You still review everything.

Share the employee handles (%) e.g. support emails answerable from your knowledge base.

AI running cost per item ($)

Plan cost per month ($) Starter is $19, Workforce $49 for all five.

Hours taken over per week-

Hours per month-

Value of that time per month-

Net per month after AI costs and plan-

Hours saved needed to cover the plan-

Formula: hours/week = volume × share handled × (manual − review minutes) ÷ 60 · hours/month = hours/week × 52 ÷ 12 · net = hours/month × hourly cost − AI running costs − plan cost. Time saved only; no claims about revenue, replies or hiring outcomes.

Questions

Can it post automatically?

It doesn't post. You can add n8n's LinkedIn or X nodes after review if you want.

Can I add more formats?

Yes: add a key to the JSON output in the prompt and a column to the sheet (e.g. `instagram_caption`).

Do I need n8n?

For the automated version, yes: n8n Cloud or the free self-hosted edition. Every employee also ships a no-code version for a ChatGPT Custom GPT or a Claude Project.

Does it act on its own?

It works in drafts and logs. Anything that reaches a customer, candidate or prospect is a draft you review and send.

What does it cost?

Starter is $19/month for this employee, Workforce $49/month for all five. Both have a 7-day free trial. You also pay your own AI usage (usually cents per item) and your n8n plan if you use n8n Cloud.

Guardrails

Review for accuracy before posting; you're the publisher.
Disclose AI assistance where the platform or your industry requires it.
Respect copyright: summarise and link sources, don't republish them.

Put the AI Content Marketer to work.

Start 7-day free trial$19/mo for this employee, or $49/mo for all five.