Let me share a quick story. A few months ago, I hopped on a call with an agency owner. Let's call him Dave. Great guy, knew his craft inside out. He'd been running his agency for around three years, had about 20 to 30 clients, and a decent setup. Recently, someone at a conference told him AI was the next big thing. So Dave did his homework—read articles, watched YouTube videos, signed up for trials, practiced his pitch in front of the mirror. He was ready to sell.
But here's what happened on our call.
For the first twenty minutes, Dave threw around tech jargon like "proprietary algorithms," "natural language processing," "multi-layered neural networks," "machine learning models," and "sentiment analysis." You could tell he was proud. Proud of how much he'd learned.
Then I stopped him.
"Mate," I said, "I have no idea what you're talking about. Can it book more appointments for my clients?"
Dave blinked. Slowly. Like I'd asked him to explain quantum physics through interpretive dance. He stammered, cleared his throat, and went right back to the tech talk.
I stopped him again.
"Right, but can it book appointments?"
That's the mistake most people make when selling AI. They sell the AI. The features. The tech. But nobody cares about your fancy neural networks. They care about their problems.
You're not selling AI.
You're selling solutions to expensive problems. You're selling time back. More leads. A business that runs smoother, smarter, and more profitably. The AI is just the tool. The outcome is what you're selling.
Meet Your New Team: The GHL AI Employee
Here's where it gets interesting. HighLevel calls it the "AI Employee." I like to think of it as a team of specialists who never call in sick, never ask for a raise, and never complain about boring tasks.
For £97 a month, you get to hire a team of six digital employees. Then, you can rent this team out to your clients for, say, £297 a month.
Let's break down the team.
1. Conversation AI: The Receptionist
Imagine a receptionist who answers every call, text, and live chat message on your website—24/7. Never takes a break, never misses a follow-up, always polite and on point. That's Conversation AI.
Real-world example: A local plumbing company used Conversation AI and saw their appointment bookings jump by 30% in just two months. Why? Because the AI was always ready to answer questions and schedule jobs, even after hours.
2. Reviews AI: The Reputation Manager
Monitoring your online reputation is a full-time job. Reviews AI handles that. It tracks your Google reviews, responds to every single one—good or bad—and ensures your online presence stays strong.
Example: A dental clinic saw a 15% increase in new patient inquiries after Reviews AI consistently engaged with their patients' feedback, turning negative reviews into opportunities to win trust.
3. Content AI: The Copywriter
Need social media posts, blog articles, email campaigns, or landing page copy? Content AI delivers. It never gets writer's block and works around the clock.
Example: A fitness coach used Content AI to create weekly newsletters and saw email open rates climb by 20%, leading to a 10% increase in client sign-ups.
4. Workflow AI: The Automation Assistant
When a lead comes in, Workflow AI tells Conversation AI to follow up with a text or email. It's the project manager who keeps everything running smoothly.
Example: An online retailer automated abandoned cart follow-ups with Workflow AI, recovering 25% of lost sales in the first month.
5. Funnel AI: The Marketing Intern
Building landing pages and funnels fast is Funnel AI's job. It helps you get campaigns live sooner without waiting on designers or developers.
Example: A coaching business used Funnel AI to launch a new product funnel and got 100 sign-ups in the first week—twice what they expected.
6. Voice AI: The Phone Rep
Handles inbound and outbound calls with a natural voice. No robotic tone, just smooth conversations.
Example: A real estate agency used Voice AI to qualify leads over the phone, freeing up agents to focus on closing deals. They increased their lead conversion rate by 18%.
Why This Matters to You
Here's the truth: your clients don't want AI. They don't want to hear about algorithms or models. They want results.
When you pitch your AI solution, don't sell the tech. Sell what it does.
- More appointments booked
- Better online reputation
- Faster content creation
- Automated workflows that save time
- Funnels that turn clicks into customers
- Phone reps who qualify leads without costing a fortune
Actionable Takeaways
-
Focus on Outcomes, Not Features
When talking to clients, ask yourself: What problem does this solve? How does it save time or make more money? Use those answers to shape your pitch. -
Use Real Numbers
Instead of saying "Our AI uses advanced technology," say "Our AI helped a client increase appointments by 30% in two months." -
Package Your AI as a Team
Position your AI tools as a team of experts working 24/7 for your client—for less than the cost of a single employee. -
Demonstrate ROI Fast
Set clear expectations. Show how your AI can quickly improve specific areas like lead follow-up, reputation management, or content creation. -
Make It Simple
Avoid jargon. Use language your client understands. If they don't get it, they won't buy it.
Clear Next Steps for Your Business
-
Audit Your Pitch
Write down your current sales pitch. Identify where you talk about features or tech. Rewrite those parts to focus on results your client cares about. -
Pick One AI "Employee" to Start With
Choose the AI tool that solves the biggest problem your clients face. Use it to create a simple case study or demo. -
Share Success Stories
Gather real examples (like the ones above) and share them with prospects. Numbers sell. -
Price Your AI Team Smartly
Remember, you can rent out the AI team at a healthy margin. For example, pay £97/month, charge £297/month. That's £200 extra in your pocket every month per client. -
Train Your Sales Team
Make sure everyone selling your services understands the "sell the outcome, not the tech" rule. Role-play conversations focusing on client pain points and solutions.
Final Thought
At the end of the day, no one wakes up excited about AI tech. They wake up worried about their business—appointments not booked, bad reviews piling up, content deadlines looming, leads slipping away.
Your job is to show them how your AI team solves those problems. Not how it works.
Keep your eyes on the prize: helping clients succeed. The tech will take care of itself.
If you want to start building your AI team and selling solutions that clients actually want, drop me a line or check out the GHL AI Employee package. It's time to stop selling tech and start selling results.
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About the Author
Steven Tann is the author of "You're Selling AI Wrong and Here's How to Fix It" and a leading expert in AI sales strategies for agencies and businesses.
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