SUCCESS STORIES
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The Shopworks is a B2B consultancy and delivery partner specialising in e-commerce operations, systems integration, and digital transformation. Their expertise-driven model relies heavily on thought leadership, consistent content output, and brand credibility, particularly on LinkedIn and their WordPress website.
As content demands increased, the challenge was not ideation but execution at scale:
Social media posting was manual, inconsistent, and time-consuming
Content reuse across channels required repeated rewriting
Blog production was slow, despite having researched topic ideas
Maintaining brand voice across platforms was difficult to enforce
SEO tasks such as meta tags, internal linking, and image creation added friction
Human review was required, but the process lacked structure
The objective was clear:
build a scalable, AI-assisted content engine that preserves editorial control, enforces brand voice, and reduces operational overhead—without sacrificing quality.
A multi-workflow Make.com automation framework was designed, combining AI agents, structured data inputs, and controlled human review points. The solution focused on two core content pipelines: LinkedIn social distribution and WordPress SEO content production.
Purpose:
Deliver consistent, high-quality LinkedIn content for both personal profiles and company pages, aligned to The Shopworks’ B2B audience and brand positioning.
Workflow Architecture
A Google RSS feed was used as the primary content trigger, pulling in relevant industry news and articles.
Multiple Make scenarios handled different content types and news sources.
Articles were passed to an AI agent trained on The Shopworks’ brand voice, tone, and target audience.
Content was rewritten into:
Short-form LinkedIn posts
Platform-appropriate B2B commentary
Clear opinion-led insights rather than summaries
Review & Control
All generated posts were written to a Google Sheet, acting as:
A content queue
A manual review and approval layer
A rule-based column controlled publishing status (e.g. Draft / Approved).
Only approved rows triggered automated posting to:
Personal LinkedIn profiles
Company LinkedIn pages
Outcome
Fully automated content generation with human-in-the-loop approval
Consistent brand voice across all LinkedIn outputs
Significant reduction in manual rewriting and posting effort
Purpose:
Scale long-form, SEO-focused blog production using research-led inputs, while maintaining editorial quality and SEO best practice.
Workflow Architecture
A Google Sheet served as the input source, populated with:
Pre-researched blog topics
Target keywords
Intent and audience notes
Each row triggered a Make scenario that:
Generated a full WordPress article using a brand voice AI agent
Wrote content tailored to The Shopworks’ target market and expertise positioning
SEO & Publishing Automation
Automatically generated:
Meta titles and meta descriptions
Structured headings
Integrated with Rank Math to update SEO metadata programmatically.
Connected to a WordPress internal linking plugin, enabling:
Contextual internal links to existing articles
Generated:
A featured image
Supporting in-article images aligned to content sections
Governance & Control
Posts were sent to WordPress in draft status only
A Google Sheet approval rule ensured:
No content was published without review
Editorial oversight remained intact
The Make.com automation framework transformed The Shopworks’ content operations from a manual process into a scalable, controlled content system.
Significant reduction in time spent creating, rewriting, and formatting content
Consistent publishing cadence across LinkedIn and the website
Centralised control via Google Sheets, enabling visibility and governance
Brand voice consistency enforced through AI agents
B2B-appropriate positioning maintained across all channels
Improved content reuse: one research source → multiple outputs
Faster production of SEO-optimised WordPress content
Automated internal linking improved content structure and crawlability
Images and metadata handled automatically, reducing publishing friction
Human review retained where it matters
Automation applied where it saves time, not where it introduces risk
A modular framework that can be extended to:
Additional content channels
Multi-language outputs
Advanced analytics or performance tracking
By combining Make.com, AI agents, Google Sheets, WordPress, and SEO tooling, The Shopworks built a future-proof content engine—scaling thought leadership without scaling headcount, and maintaining quality without increasing complexity.
TESTIMONIALS
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