AI Blog Writing at Scale

Overview

What we deliver

We build AI blog writing systems that plan, draft, fact check, edit, and publish high-quality articles tied to your SEO and demand goals.

We design and operate AI blog writing systems for B2B teams that need consistent, on-brand, editorially sound content tied to real business outcomes. Our work covers topic research, keyword clustering, brief generation, model selection, drafting, fact checking, SME review, editing, internal linking, and publishing. We use ChatGPT, Claude, SurferSEO, and Ahrefs alongside your CMS, project tools, and analytics so each article moves through clear stages with quality gates. We build prompt libraries that match your voice, structure briefs around search intent, and add review steps for accuracy, claims, and links. We monitor traffic, rankings, and conversions and feed that data back into the content plan. The result is an editorial system that publishes a steady volume of articles, holds the line on quality, and shows clear contribution to organic traffic, pipeline, and revenue over time.

Fit Check

Built for teams like yours

Who it's for

B2B SaaS teams scaling organic content
Marketing teams replacing slow freelance networks
Agencies offering AI-assisted content to clients
Startups building topical authority quickly
Established brands refreshing large content libraries

Pain points we solve

Low publishing volume and slow article turnaround
Generic AI drafts that miss brand voice and accuracy
Weak alignment between content and search intent
Manual editing and formatting that drains team time
Unclear contribution of blog content to pipeline

What's included

Capabilities

Everything we cover in this engagement.

Topic and keyword research with clustering
Editorial calendars and brief generation
Voice and style guide setup for AI drafting
Drafting with ChatGPT, Claude, and other models
Fact checking and SME review workflows
On-page SEO, internal linking, and schema
CMS publishing and content refresh workflows
Reporting on traffic, rankings, and conversions

How we work

Our process

A clear, predictable path from kickoff to outcomes.

01

Strategy

We map clusters, intent, and target outcomes.

02

System setup

We build voice rules, briefs, and tool connections.

03

Pilot batch

We draft and publish a first set of articles.

04

Tune

We adjust prompts, briefs, and review steps.

05

Scale

We run steady monthly volume and report on results.

What you get

Deliverables & outcomes

What you get

Keyword cluster map and editorial calendar
Brief and prompt library
Voice and style guide for AI drafting
Fact check and SME review workflow
Initial batch of published articles
Monthly performance and refresh report

Outcomes you can expect

Higher publishing volume at controlled quality
Better rankings on target keyword clusters
Lower cost per published article
Faster turnaround on briefs and refreshes
Clear link between content and pipeline metrics

Timeline

Three to six weeks to launch, then ongoing

Engagement

Monthly retainer, Project, Sprint

Tools we use

ChatGPT, Claude, SurferSEO, Ahrefs, Frase, WordPress, Webflow, HubSpot

KPIs we track

Articles published per month, organic sessions, keyword rankings, leads from blog, cost per published article

Client stories

What clients say

"

Our LCP was 4.8 seconds and Google was punishing us for it. They audited the build, dumped two plugins we did not need, moved hero images to a real CDN, and rewrote the critical CSS. LCP came down to 1.6 seconds within three weeks. Bounce rate on the pricing page dropped by a quarter without us touching the copy.

Sarah K.

"

We were drowning in tier-one tickets about password resets and appointment changes. They built a deflection layer on top of our help desk and kept their agents in the loop for anything sensitive. Volume to humans dropped 58 percent in two months and our patient NPS held steady. The hybrid handoff is the part most vendors get wrong. They did not.

P.M.

Proof