GPT3 Marketing blog
The heritage generative-AI content consultancy that keeps brands sounding like themselves. Ten pieces on what the signals say and what to do about them.

What few-shot prompting in 2020 still teaches content teams
GPT-3 forced writers to teach by example. Those few-shot habits remain the best defence against generic AI content in 2026.

Why AI content all sounds the same, and how to escape it
Generic AI copy comes from averaged inputs, not bad models. How to diagnose sameness and rebuild a voice your audience recognises.

How to build a brand voice system that AI can follow
A brand voice system for the AI era: principles, vocabulary, examples and model-ready instructions your writers and models both use.

Why AI drafts still need heavy editing, and how to need less
Heavy revision of AI drafts is usually an input problem. Where the editing time goes and how to move effort upstream.

From GPT-3 to ChatGPT: what really changed for marketers
Six years from the GPT-3 API beta to today: what changed for content teams, what did not, and why craft matters more now.

Prompt libraries: how to build, version and govern them
A practical guide to building a team prompt library: structure, versioning, testing, ownership and keeping it grounded in audience evidence.

Authenticity outlasts trends: narrative over FOMO in AI content
Trend-chasing with AI makes brands faster and blurrier. Why a consistent narrative compounds, and how to test trends against it.

Human-edited content at scale: roles, loops and limits
How to scale AI-assisted content without losing quality: editorial roles, review tiers, feedback loops and where humans add most value.

How to run a brand voice audit in the age of AI content
A step-by-step brand voice audit: gather samples, test distinctiveness, compare with audience language and prioritise fixes.

Audience-grounded AI content: feeding models what people say
Why AI content improves when briefs carry real audience language and tensions, and a practical workflow for grounding prompts in evidence.