[00] Case study
How generative AI content creation helped a B2B software company cut content production costs by 70%, improve SEO performance and increase content output.
published ·updated
results
From our published case study.
input the challenge
Rising content costs, slow production cycles and a heavy reliance on freelancers and agencies made a steady publishing schedule hard to keep.
output what we delivered
Generative AI built into the existing marketing workflow for ideation, drafting and SEO, with editors reviewing every draft before it went live.
the full story
B2B companies need a steady flow of good content to attract prospects, generate leads and show they know their market. Producing it the traditional way is expensive, slow and hard to scale.
This case study shows how generative AI content creation helped a B2B software company cut content production costs by 70% and publish far more often, without lowering quality.
The company relied on manual content production involving several writers, editors and external agencies. As demand for content grew, so did the cost and the turnaround time.
The marketing team faced:
They needed a way to produce content faster while keeping to their quality standards.
The company introduced generative AI into its existing marketing workflow to support:
The aim was not to replace writers. AI took on the repetitive work so the team could spend its time on judgement, expertise and editing.
The AI analysed market trends, customer interests and search behaviour to suggest relevant topics. Brainstorming took less time, content plans were better targeted and topics matched what the audience was searching for.
The team generated structured first drafts within minutes. This cut writing time, increased output, made structure more consistent and shortened delivery.
Each draft was checked against SEO practice, covering:
Experienced editors reviewed every AI draft for accuracy, brand voice, industry relevance and readability. Nothing was published without a person signing it off.
Spending fell on research, writing resources, agency fees and editing. Overall content production costs dropped by 70%.
Content that used to take several days could be finished in hours, so the team could respond quickly to industry news and customer questions.
Output rose from 4 blogs a month to more than 20, letting the company cover a much wider range of keywords and customer problems.
The SEO-led approach improved search rankings, organic traffic, content discoverability and lead generation opportunities.
Lower costs and higher output gave the company a stronger return on its content marketing.
| Metric | Before AI | After AI |
|---|---|---|
| Content creation cost | 100% | 30% |
| Production time | 100% | 20% |
| Monthly blog output | 4 | 20+ |
| Research effort | High | Low |
| Marketing ROI | Moderate | Significantly higher |
By automating research, drafting and optimisation, this B2B company cut content costs by 70%, published five times as often and improved its marketing results. The approach worked because AI did the groundwork and people kept control of accuracy and voice. If you want to scale content marketing while controlling costs, talk to us about generative AI development.
more proof
Every figure is taken from the published case study.
All case studies35%higher conversion rate
inputHigh traffic but low conversion: generic recommendations, poor product discovery, high cart abandonment and few repeat purchases.
3×increase in customer engagement
inputSupport replies took 12 to 24 hours, repetitive questions tied up agents, support costs were high and customer engagement was low.
40%lower operational costs
inputManual, repetitive processes, high operating costs, little data to base decisions on and systems that could not keep up with growth.
explore
Free consultation
Tell us where your business stands today. We will show you how the same approach would apply, with a free consultation and no obligation.
