CASE 01Agentic content pipeline

$700→$12

GoKickflip's articles cost $700 each and arrived four or five a month. Now one costs $12.11 and takes 29 minutes.

GoKickflip wanted to own search for product customisation. Ovidius built a multi-agent pipeline on n8n that turns a keyword into a publish-ready article, so the team can publish 43 a month without hiring.

Book a Discovery Call Run the numbers ↓

Cost per article98% lower

Freelance

$700

Pipeline

$12.11

Articles per month

Before4 to 5

After43

29 min per article$1.79 in AI tokensAbout 33 n8n executions

Client: GoKickflipProduct customisation platform for e-commerce
Platforms: Shopify, WooCommerce, BigCommerceEmbeddable product customiser
Problem: 4 to 5 articles a month at $700 eachFreelancers and manual coordination
Built with: n8n, DataForSEO, Sonar ProGPT-5, Claude Sonnet 4, Gemini 2.5 Pro
Goal: Rank across hundreds of long-tail keywordsWithout adding headcount

98%

Lower cost per article

From $700 to $12.11, including all infrastructure.

10x

Content output

From 4 to 5 articles a month to a capacity of 43.

$358K

Annual saving

$6,317 on the pipeline against $364,980 human, at equal volume.

29min

Per article

Keyword in, publish-ready draft out, end to end.

The challenge

Big SEO ambitions, and a content engine that produced four or five articles a month.

GoKickflip powers product personalisation for Shopify, WooCommerce and BigCommerce stores, from custom engravings to colour choices in the browser. They wanted to rank for “product customization”, “Shopify product personalizer” and hundreds of long-tail terms. Every article went through research, brief, draft and review by hand, and scaling meant scaling the bill.

Bottleneck

Every step needed a person

4 to 5 articles a month through a manual pipeline from research to review.

Cost

About $700 an article

Freelance writers plus manual coordination. Ten times the output meant ten times the cost.

Focus

The SEO lead ran production

Their SEO manager spent most of his time managing content instead of strategy, keyword research and growth.

Quality

Inconsistent drafts

Freelancer output varied in tone and optimisation, so every piece went through extensive revision.

One month of published articles, before

5articles this monthAt $700 each: $3,500

GOAL 01

Scale content 10x

From 4 to 5 articles a month to 40 or more, with no new headcount.

GOAL 02

Cut cost per article 90%+

Bring the $700 article down through automation.

GOAL 03

Hold the quality bar

A target approval rate of 90% or more at human review.

GOAL 04

Free the SEO lead

Strategy and growth, instead of managing production.

The solution

Three agents take a keyword from research to a publish-ready article.

Ovidius designed and built a multi-agent production pipeline on n8n. Research agents pull keyword, competitor and SERP data; a brief agent sets the structure; a multi-model stack writes, checks and polishes. No step waits for a person until the draft is ready to review.

A target keywordThe only input. Everything after it runs without a person.

DataForSEO and Sonar ProKeyword clustering, SERP and competitor analysis.

TextRazorEntity extraction from the pages that already rank.

n8n The orchestrator

Research agentClusters keywords, maps search intent, analyses competing content.

Brief agentTarget keyword, heading structure, word count, internal links, angle.

Content agentsGeneration, fact-checking passes, SEO optimisation, metadata, readability.

3stages

33executions

6+AI models

Models

GPT-5Part of the multi-model writing and review stack.

Claude Sonnet 4Generates, refines and polishes across review passes.

Gemini 2.5 ProA third model in the same review loop.

How it works

A keyword becomes a publish-ready article in 29 minutes, for $1.79 in AI tokens.

Switch the view to see where the time, the money and the work go. Research is the heavy stage on every measure.

One article, three stages

Research

Brief

Content

Total: 29 minutes · $1.79 in AI tokens · about 33 n8n executionsAll stage figures approximate, per article

1. Research about 14 min

Keyword clustering, SERP analysis, competitor content analysis, entity extraction, search intent mapping.

DataForSEOSonar ProTextRazor

2. Brief about 5 min

Target keyword selection, heading structure, word count targets, internal linking, content angle.

Structured brief

3. Content about 10 min

Multi-model generation, fact-checking passes, SEO optimisation, metadata creation, readability refinement.

GPT-5Claude Sonnet 4Gemini 2.5 Pro

Unit economics

At $12.11 an article, volume stops being a budget decision.

The per-article price includes all infrastructure; AI tokens are $1.79 of it. Move the slider to compare a year of articles at both prices.

Cost per article

$12.11

was ~~$700~~ with freelancers and coordination

AI tokens$1.79

Infrastructure and running costs$10.32

Per article, all in$12.11

Articles a year 521

Freelance at $700

Pipeline at $12.11

Saved in a year

The measured $358K saving is at about 521 articles a year.

The results

Ten times the output, at under 2% of the old cost per article.

Cost per article

Including all infrastructure

$12.11

from $700

Article capacity

Per month

up from 4 to 5

Production time

Research to final draft

29 min

per article

AI token cost

Per article generated

$1.79

across 6+ models

From day one, the Ovidius team moved fast, thought big, and executed with precision. Together, we built something truly cutting-edge that will be a major unlock for our business and change how we operate and grow.

Renaud TeasdaleFounder and CEO, GoKickflip

Stackn8nDataForSEOSonar ProTextRazorGPT-5Claude Sonnet 4Gemini 2.5 Pro

What does one unit of your content cost today?

Bring the process that scales with headcount. In a discovery call we map which steps a pipeline can run and what a unit would cost after.

OwenCEO · sales and scoping

JasonCOO · audit, ship and run

Book a Discovery Call30 minutes with Owen and Jason. You bring the process.

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