How I Actually Use AI in Marketing (The Honest Version)
Let me be direct about something first: AI does not write my clients' copy. I do.
What AI does is dramatically accelerate the research, planning, and analysis stages that happen before I write a single word. The actual copywriting — the hooks, the persuasion architecture, the voice — that is human work. AI helps me do the preparation 10 times faster.
Here is exactly how I use AI tools in my daily workflow:
AI Tools for Audience Research
ChatGPT and Claude — I use both for deep audience research prompts. Specifically, I ask them to role-play as my ideal customer persona and describe their biggest frustrations, fears, and desires in their own words. The output gives me raw language I can mine for copy hooks.
Prompt I actually use: "You are a [specific customer type] who is frustrated with [specific problem]. Describe your situation in detail — what keeps you up at night, what you have already tried, what you wish existed, and what you would say to a friend about this problem."
The language that comes back is often remarkably close to what I find in actual customer reviews and forum posts — which makes it a fast starting point for audience language research.
AI Tools for Ad Copy Generation and Testing
Claude (Anthropic) — My preferred tool for generating multiple copy angle variations quickly. I give it the research output, the offer, and the target audience, then ask for 10 different hook variations using different emotional angles. I then select and rewrite the strongest 2 to 3 by hand.
Jasper — Useful for generating first-draft Facebook ad copy at scale. The output always needs significant editing but it reduces blank-page paralysis and speeds up the first-draft stage.
My process: AI generates 10 drafts, I select the 2 strongest angles, I rewrite those completely in the client's voice with proper direct response principles applied. The AI saves me time on generation; the human work is in selection and refinement.
AI Tools for Performance Analysis
Meta Advantage+ creative insights — Facebook's own AI now surfaces which creative elements (headlines, copy angles, images) are performing best across your ad sets. I check this weekly for every client account to identify patterns in what is working.
Google's Performance Max insights — Similarly, Google's AI campaign type provides asset-level performance data that tells you which headlines, descriptions, and images are getting the most traction. This is free data that most advertisers ignore.
ChatGPT for data interpretation — I copy raw performance data (CTR, CPL, ROAS by ad set) and ask ChatGPT to identify patterns, anomalies, and hypotheses worth testing. It is not always right but it consistently surfaces angles I might miss on a manual review.
AI Tools I Tried and Stopped Using
Honesty matters more than a comprehensive list. Here are tools I tested and stopped using — and why:
- Fully automated AI ad copy tools — The copy quality is consistently mediocre. It reads like a marketing template, not a persuasive human voice. Audiences can feel the difference.
- AI image generators for ad creatives — Inconsistent quality, often uncanny valley aesthetics, and the output lacks the strategic visual thinking that makes ad creative actually work.
- AI for email subject line optimisation — Less useful than just testing 3 subject lines written by a human copywriter with proper curiosity and specificity applied.
The pattern: AI is excellent for research, generation of raw material, and pattern analysis. It is poor at anything requiring genuine persuasion, emotional nuance, or strategic judgment about what a specific audience will respond to.
The Right Way to Think About AI in Marketing
AI is a force multiplier for skilled marketers. It makes fast things faster and turns research that used to take a week into an afternoon task.
But it does not replace the skill of understanding what makes people take action — which is fundamentally a human psychology question, not a technology question. The businesses getting the most from AI marketing tools are the ones pairing them with strong human judgment, not replacing human judgment with them.
Use AI to go faster. Use your brain to go better. The combination beats either on its own.
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