AI Marketing & Automation
AI Content Creation at Scale
Content at scale is not a new problem. What has changed is that the tools to solve it have become genuinely practical. EXPRE produces content at scale using AI with human editorial oversight — building the workflows, training the AI on your brand voice, and producing content that reads like it was written by someone who knows your business.
Discuss Your Content NeedsThe AI Content Production Model
The question is not whether to use AI for content. It is how to use it without degrading quality. AI can now produce first-draft content that is coherent, on-topic, and structurally sound fast enough to shift the economics of content production entirely. The risk is using it without editorial oversight.
EXPRE’s production model has three stages. First, structured inputs: product data, brief, keyword targets, tone guidelines, and specific requirements go into a structured template. The quality of the input determines the quality of the output, so this stage gets proper attention.
Second, AI generation: the model produces a first draft. For most content types, this draft is 70 to 80 percent of the way to publishable. What it lacks is specific examples, the human editorial voice, and the insight that makes content genuinely useful.
Third, human editorial review: an editor reviews the draft, adds specifics, adjusts the voice, and approves for publication. This stage typically takes a fraction of the time that writing from scratch would require. The economics shift. Your content team produces more without producing less carefully.
Content Types We Produce
Product Descriptions
Product descriptions are where AI content production delivers the clearest efficiency gain. For catalogues of hundreds or thousands of SKUs, manually writing unique descriptions is impractical. AI produces consistent, SEO-optimised descriptions at a fraction of the cost, with human review ensuring accuracy and brand alignment.
Blog and Article Content
Blog and article content benefits from a hybrid approach. AI handles research synthesis and structural drafting. Human editors add proprietary insight, case studies, and the perspective that distinguishes useful editorial from generic content marketing. Every article goes through editorial quality control before publication.
Landing Pages and Service Descriptions
Landing pages, service descriptions, social media copy, email sequences, and ad copy are all content types where AI drafting with human review produces a meaningful productivity uplift without quality compromise. We match the production model to the content type and quality requirements.
Structural Quality Gates
AI content without quality control is a liability. It hallucinates facts, drifts from brand voice, and occasionally produces content that is technically accurate but tonally wrong. EXPRE builds quality control into the workflow as a structural requirement, not an afterthought.
Every AI content workflow includes factual accuracy checks, brand voice consistency review, SEO requirement verification, and a final read for tone and coherence. For regulated sectors, compliance review is an additional layer. Nothing publishes without passing these gates.
Long-Term Quality Maintenance
We track quality over time. If AI output quality drifts, we retrain the prompts and workflows. The goal is consistent quality at scale, not strong output on day one followed by gradual decline.
For clients who want to bring AI content production in-house, EXPRE sets up the complete workflow: prompt engineering, quality control checklists, editorial guidelines, tool configuration, and team training. We provide ongoing optimisation support as the workflow matures.
SEO-Optimised AI Content: Our Process
Keyword Research and Brief
We integrate keyword research and SEO requirements into the content brief before generation, ensuring that primary keywords, secondary terms, and semantic variants are represented naturally in every piece.
AI Generation with Brand Voice
We train AI prompts on examples of your existing content, your tone of voice guidelines, and your brand vocabulary. The model produces a structured first draft that follows these parameters.
Human Editorial Review
An editor reviews the draft for factual accuracy, brand alignment, tone, and genuine value for the reader. Specific examples, case studies, and insights are added at this stage before final SEO verification.
Publication and Performance Tracking
We manage content velocity to avoid patterns that appear unnatural to search engines. Performance is tracked post-publication and informs future content strategy.
Frequently Asked Questions
Will AI content be penalised by Google?
How do you maintain our brand voice in AI-generated content?
What volume of content can you produce?
Do we retain ownership of the AI-generated content?
How much does AI content production cost?
Scale Your Content Production
Contact EXPRE for a free consultation. We will assess how AI content production can work for your business, what volume is achievable, and what the right production model looks like for your team.
Related Services
Content creation works best alongside AI SEO, marketing workflows, and analytics.
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