Building An AI Marketing Strategy: The 94-Revision System

Have You Tried Using AI to Find the Low-Hanging Fruit in Your Marketing Data?

At the most basic level you can import your Google Analytics CSV to ChatGPT and ask it to find opportunities. But what if you applied a marketing strategy that built on those opportunities that AI discovered for you?

That’s exactly what I did. And after 94 revisions, I developed a systematic approach that any business can follow.

What 94 Revisions Taught Me About AI Marketing

When people hear “94 revisions,” they think I’m obsessive. But here’s what those revisions uncovered:

• 7,108 monthly search impressions that were getting only 2 clicks
• 37 keywords sitting on page 2 that competitors were monetising
• Monthly recurring revenue from systematic improvements I was missing

More importantly, I learned exactly when revisions add value and when they’re just perfectionism.

The Truth About AI Content Creation

Here’s the truth about AI marketing: if you don’t set boundaries and focus on the subject, you’ll end up with worthless porridge.

Problem 1: AI Has Recency Bias

LLMs train heavily on Stack Overflow and coding forums. Ask about React.js? Brilliant. Ask about converting visitors into customers? Generic waffle.

Problem 2: AI Agrees With Everything

Watch this:

• You: “Should I use WordPress?”
• AI: “Yes! WordPress is perfect!”
• You: “Actually, maybe Shopify?”
• AI: “You’re right! Shopify is ideal!”

Problem 3: No Business Context

AI doesn’t know your ideal customer or your business goals. It can’t connect content to revenue unless you teach it.

Setting Up Your AI Marketing Assistant

You don’t need complex systems to start. Here’s my exact setup:

Basic Requirements:

• GitHub repository for your business documentation
• Clear tone of voice guidelines
• Actual client examples and case studies
• Revenue targets and business goals

What Makes It Work:

My AI workflow has access to my complete business documentation:

• How I talk to customers
• Real client success stories
• Specific revenue targets
• Common problems and solutions

Your Action Step:

Create one document titled “How I Talk to Customers” with 5 example phrases you use and 5 you’d never say. That’s your starting point.

Phase 1: Intelligence Gathering (Week 1)

What You’ll Need: Google Analytics, Search Console, 10 hours Investment: 50 revisions to perfect the brief

I started by mapping:

• My current traffic and conversion data
• Competitor content gaps
• Customer pain points from support tickets
• Keywords I rank for but don’t monetise - my keyword ranking model catches these systematically

Common Mistake: Jumping straight to content creation without understanding your position. I made this mistake myself before I learned to step back and look at the data first.

Try This: List your top 10 competitors. Run their URLs through any SEO tool. Find 5 topics they all cover that you don’t.

Phase 2: Strategic Planning (Week 2)

What You’ll Need: Content calendar, clear business goals Investment: 31 revisions to nail the structure

I created two content phases:

1. Education Phase: I built trust with helpful content
2. Conversion Phase: I demonstrated my expertise

The Stakeholder Challenge: Getting buy-in for quality content is tough. The accounts team says it’s too expensive. Marketing worries about deadlines.

Time for some stakeholder physics: I showed them that 3-revision content equals zero revenue, while 94-revision content equals recurring monthly value. The invoice reality wins arguments.

Phase 3: Topic Selection (Week 3)

What You’ll Need: Keyword research tool, revenue projections Investment: 19 revisions per topic

For each topic, I mapped:

• Search volume and commercial intent
• Competition level
• Revenue potential
• My unique angle

Phase 4: Content Creation (Weeks 4-8)

What You’ll Need: 4-6 hours per piece, quality standards Investment: Up to 94 revisions for cornerstone content

Revision Breakdown:

• Revisions 1-10: Structure and basic content
• Revisions 11-25: Voice and personality
• Revisions 26-40: Strategic alignment
• Revisions 41-60: Evidence and examples
• Revisions 61-75: Conversion optimisation
• Revisions 76-94: Final polish

When to Stop: When adding more revisions doesn’t improve business impact. I learned this at revision 71 when I unlocked the MRR opportunity.

The Revenue Reality

My Actual Results:

• Month 1: 12 revisions average = 0 clients
• Month 3: 53 revisions average = 1 client
• Month 6: 94 revisions average = 8 clients

Every additional revision adds value in monthly returns. Not because revisions are magic, but because they force you to improve what matters.

Common Questions

“Do I really need 94 revisions?” No. You need as many revisions as it takes to create content that generates revenue. For some pieces, that’s 20. For cornerstone content, it might be 100.

“What if I don’t have time?” Start with your highest-value pages. One great piece beats ten mediocre ones.

“How do I track ROI?” Simple: I track enquiries before and after. If content doesn’t drive enquiries, I revise or I remove it.

Your Next Steps

You have three options:

Option 1: DIY Implementation Follow the roadmap above. Expect results in 3-6 months.

Option 2: Accelerated Learning Get my templates and frameworks. Cut your learning curve in half.

Option 3: Done-With-You Implementation I guide you through the process. You learn while building.

Want My Help?

I can handle 10 audit requests per month while maintaining quality standards.

Get Started:

• Phone: 01952 407599
• Email: tony.cooper@webuildstores.co.uk

Ask for the Marketing Data Audit. I’ll show you exactly what opportunities are hiding in your analytics and how to systematically capture them.

P.S. This article? 51 revisions. Not 94 like my earlier content. Why? Because my AI agents are getting better.

My AI tools now start closer to the target, understanding my voice and standards from the beginning. This is what systematic improvement looks like - when my 41st revision achieves what used to take 94.

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