Marketing platform · 2025LangChain · OpenAI · n8n · Next.js

MarketingplatformwithAIagents

We built and shipped an AI system that unifies market and competitor research, audience segmentation, offer crafting, landing-page and creative generation, and performance launches across any acquisition channel. One person runs ×10 the campaigns without losing the brand voice.

Brief

A marketing platform for B2B teams. The job: scale content marketing without bloating the team. We built an agent pipeline: brief → copy → visual → localization → A/B. One marketer conducts the whole thing; the platform holds the brand voice and the performance metrics.

Context

Scale

A 4-person marketing team. Output: 30 content units per month in one language.

Challenge

The board demanded ×5 content and 8 languages. Hiring 10 more people wasn't in the budget.

Goal

Reach ×10 volume, keep the brand voice, cut unit cost at least in half, and test hypotheses automatically.

Before → After

Content volume and unit cost

Before launch

—4 marketers — 30 content units per month
—3 days from brief to publish
—1 language, manual localization
—CTR sits on a plateau

6 weeks

After 4 weeks

+2 marketers + agent pipeline — 300 units
+40 minutes from brief to finished package
+8 languages localized automatically
+CTR +240% in performance channels

Project timeline

Shipped in 4 weeks

From first call to first production launch. No phase two, no endless iterations.

Week 1

Discovery

Collected 200 reference texts. Trained the brand's style and voice.

Week 2

Design

Pipeline shape: brief → copy → visual → localization → A/B.

Week 3

Build

Built the agents and integrations with CMS and performance channels.

Week 4

Launch

Pilot on 50 hypotheses. Locked CTR and CPM as project goals.

What we did

How we built it

Brand voice

Collected 200 texts, trained the style. Every agent checks itself against the brand voice.

Agent pipeline

Brief-agent → copy-agent → visual-agent → localization-agent → A/B-agent.

Human-in-the-loop

The marketer approves two steps: the brief and the final publication package.

Owning the numbers

CTR and CPM are targets we drive to a result.

Content pipeline

From brief to publish — 40 minutes. Used to be 3 days.

01Brief — the marketer sets the goal and KPI

02Agents assemble the package — copy, visual, locales

03A/B — automatic tests and a report

Brief — the marketer sets the goal and KPI

Agents assemble the package — copy, visual, locales

Brand voice and quality control

We don't leave generation on autopilot. Every agent checks itself against the brand voice, and a human signs off where mistakes are unaffordable.

01Trained the style on 200 client texts — the voice is stable

02Brief-agent locks goal, tone of voice, CTA, constraints

03Copy-agent → visual-agent → localization — each with its own validator

04Human-in-the-loop on the brief and final publish — two clicks for the marketer

Trained the style on 200 client texts — the voice is stable

Brief-agent locks goal, tone of voice, CTA, constraints

Copy-agent → visual-agent → localization — each with its own validator

Human-in-the-loop on the brief and final publish — two clicks for the marketer

Results

What came out

×10

increase in monthly content volume

−70%

cut in production costs

4 weeks

to first launch

+240%

CTR uplift in performance channels

“We stopped counting copy in hours. Now we count hypotheses and CTR.”

Henrik Johansson

CMO, marketing platform

Project team

Lena Petrova

Strategy

Vitaly Kust

Tech

James Park

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