TL;DR
If you’re feeding AI one-line prompts and expecting gold, you’re wasting hours fixing “meh” drafts.
Context - not clever wording - is the real prompt. Hand your AI a Brand Brief (multi-tab doc with strategy, story, voice, etc.) and it sends back copy that sounds like you. Skip the context and frustration’s guaranteed.
Last week a client sent me an AI-drafted launch email with the subject like: "🎉 We're thrilled to announce..." - the digital equivalent of white paint drying.
"It's technically correct," she said, "but it just doesn't sound like us."
If you’ve ever opened your own AI draft and thought meh, you’ve lived this too.
She’s not alone - and the culprit isn’t the AI, it’s the lack of context we’re giving it.
Nearly 90% of marketers now use AI (HubSpot, 2025), yet 43% admit they don’t know how to get full value from it. That’s the “context gap” in action.
The problem isn't the AI; it's how we're training it.
The shift we're seeing in AI
Prompt engineering has grown up. The real game now? Context engineering - teaching your AI who you are before asking it to perform.
Before: One-off prompts = generic, off-brand output.
After: Context-trained AI = content that sounds like you, ready to ship.
With over 70% of marketers who haven't adopted AI saying they don't fully understand how to use it, the gap isn't about access, it's about approach.
It's time to stop babysitting ChatGPT and start scaling it.
Train the AI model, and watch it think like you.
Build your AI Marketing Assistant:
Step 1 / Build a Brand Brief
Think of it as AI’s backstage pass - the insider info it needs to perform like it’s been on your team for years. Build it once, and you stop re-explaining your tone, audience, and strategy from scratch.
→ Brand Strategy: Vision, positioning, messaging, customer personas, tone of voice, etc.
→ Story & POV: Founder story, brand story, hot-takes in the market, etc.
→ Marketing Plan: Goals, strategies, tactics, channels, cadence, sample campaigns, etc.
Add these as separate attachments and incorporate them into custom instructions within a custom GPT (or your favorite LLM model).
Step 2 / Prompt with Precision
Now that your AI knows your brand inside out, it can finally respond with ideas that fit your audience and voice the first time.
Now ask:
"You're a [your role/expertise] with [X] years experience helping [target market] with [main value proposition]. Using our Brand Brief, write a LinkedIn post for [target audience] struggling with [specific problem].
Tone: [your brand tone] - like a [your expertise area] sharing insights over coffee, not a consultant pitching services."
Trained on your message and tone of voice, the model stops guessing and starts sounding more like you.
Step 3 / Light Edit, Ship Faster
Review, revise, and hit publish.
Teams using context-trained AI report creating content up to 3x faster - freeing hours each week for strategic work instead of headline-tweaking purgatory.
Let's wrap this up...
Enough with "AI isn't there...yet"
It's there, it's just hungry.
Every week you spend prompting from scratch is a week your competitor’s AI is learning their brand, not yours.
Feed it a Brand Brief, and “meh” drafts turn into on-brand magic.
In the news:
The 2025 data is in, and it confirms the trend...
📰 Gartner's 2025 CMO Spend Survey reveals that while marketing budgets are holding steady, AI output is expected to carry more load - meaning efficiency has to be built in, not bolted on.
📰 A new report shows that while 85% of marketers now use AI for content creation, but accuracy and quality remain concerns - your Brand Brief fixes both.
📰 The latest numbers show that 43% of marketers using AI confess they don't know how to maximize its value. This is the context gap in action. Your Brand Brief is the bridge.