Alex Hormozi’s $100M Offer Framework Turned Into AI Prompts That Force Execution

What This Article Covers:

• Hormozi’s value equation broken down into a prompt that builds offers with real buying urgency

• A pricing framework that uses your actual results to justify charging significantly more

• A data-driven method for identifying your single highest-leverage lead source and cutting everything else

• A retention and ascension model that extends customer lifetime value without chasing new clients

• Four additional prompts covering obstacle removal, business model stress testing, and cold outreach optimization

Most people who study Alex Hormozi’s work walk away feeling motivated. They highlight the best lines, save the post, maybe share it with a friend.

Then nothing changes.

The framework sits in a notes app while the business stays exactly where it was. The problem isn’t the content. It’s the gap between understanding a principle and actually doing something with it.

Hormozi’s $100M Offers framework is one of the most practical business frameworks available today. It covers everything from how to price your offer to how to generate leads, retain customers, and stress test your entire model before it breaks.

The value equation alone, where Value equals Dream Outcome multiplied by Perceived Likelihood divided by Time Delay multiplied by Effort and Sacrifice, gives you a repeatable way to look at any offer and identify exactly where it’s leaking.

The missing piece for most people is execution. Reading about the value equation is not the same as running your current offer through it and getting a concrete answer.

That’s where AI comes in. When you feed a large language model the right structure, it stops being a chatbot and starts acting like a business strategist with unlimited patience and no filter.

We took each of Hormozi’s core principles and reverse-engineered them into seven prompts you can paste directly into any AI tool.

Each one is built around a specific business problem, asks you to input your real numbers and context, and pushes the model to give you a direct output rather than generic advice.

These aren’t thought experiments. They’re workflows.

Work through all seven, and you’ll have more clarity on your offer, your pricing, your lead generation, and your retention model than most business owners develop in a year.

1. The Grand Slam Offer Constructor

Hormozi’s most quoted line is that your offer should be so good people feel stupid saying no. That sounds like marketing advice. It’s actually a math problem.

The value equation gives you four variables to work with, and most offers are only optimizing one of them, usually the dream outcome, while ignoring the other three entirely.

The Grand Slam Offer Constructor prompt forces you to fill in all four variables before the AI builds anything. Here’s what that looks like in practice.

Say you run a fitness coaching program. Your dream outcome is clear: clients lose weight and feel confident. But your perceived likelihood of success is low because you haven’t shown proof.

Your time to results is twelve weeks, which feels long. And your effort requirement is high because clients have to track macros, attend live calls, and cook their own meals.

Run those numbers through the value equation, and the offer looks weak even if the coaching itself is excellent.

The prompt fixes that by asking the AI to attack each variable directly:

• What guarantees increase perceived likelihood of success?
• How do you compress the time to first result?
• What can you remove from what the client has to do?
• What bonuses make saying no feel irrational?

For the fitness example, a smart AI output might suggest adding a 30-day result guarantee, creating a week-one quick win protocol so clients feel progress fast, providing a done-for-you meal plan so they don’t have to think about food, and bundling a progress tracking app as a bonus. Same coaching program. Completely different offer.

Here’s the full prompt to copy:

“My current offer: [what you’re selling]. Target customer: [who buys this]. Their dream outcome: [what they actually want]. Perceived likelihood of success: [do they believe it works?]. Time to achievement: [how long until results?]. Effort and sacrifice required: [what’s the cost to them?]. Using Hormozi’s value equation, what guarantees increase their belief this will work? How do I compress time to results? What can I remove that they have to do? What bonuses make saying no feel insane? Build me an offer they can’t refuse.”

2. What You Should Actually Be Charging

Underpricing is one of the most common and most damaging mistakes early-stage business owners make.

It signals low value, attracts price-sensitive clients who drain your time, and creates a ceiling you have to blow up later when you finally decide to raise rates.

Hormozi’s framing is direct: price is a signal of value, and if your price makes you completely comfortable, it’s probably too low.

The Pricing Confidence Calculator prompt is designed to make you uncomfortable in a productive way. It doesn’t just tell you to charge more.

It asks you to confront why you aren’t charging more right now, and then it builds the case for a higher price using your own results as evidence.

Consider a freelance copywriter charging $1,500 per website project. Competitors in their niche charge anywhere from $800 to $4,000. Their actual results include a client who doubled their conversion rate and another who attributed $60,000 in new revenue to the new site copy.

When those outcomes go into the prompt, the AI has real data to work with. The output in this case might look like:

The prompt also asks the AI to reframe the offer so price becomes irrelevant.

For the copywriter, that might mean presenting the project as “a $60K revenue asset” rather than “website copy,” which shifts the buyer’s mental math entirely.

Here’s the full prompt to copy:

“What I currently charge: [your price]. What competitors charge: [market rates]. My actual results: [outcomes you deliver]. Why I’m scared to raise prices: [honest reason]. Using Hormozi’s principle that price is a signal of value, what would I charge if I were the only option? What price makes me slightly uncomfortable but excited? What additional value justifies 3x my current price? How do I reframe the offer so price becomes irrelevant? Tell me what I should actually be charging.”

3. How to Find Your Highest Leverage Lead Source

Most businesses don’t have a lead generation problem. They have a focus problem.

They’re running Instagram, sending cold emails, posting on LinkedIn, attending networking events, and running ads, all at the same time, all at medium effort.

The result is a lot of activity that produces mediocre results across the board. Hormozi’s position is simple: find what’s actually working and put everything into that one channel until it’s exhausted.

The Lead Generation Leverage Finder prompt makes that decision data-driven rather than gut-driven.

Before the AI can give you a useful output, you have to fill in your real numbers. That’s intentional. Vague inputs produce vague outputs.

When you’re forced to write down your leads per month, cost per lead, close rate, and hours invested per channel, patterns become obvious that you were previously ignoring.

Here’s what that data entry might look like for a B2B service provider running three channels simultaneously:

Looking at that table, cold email and paid ads produce the most leads but the worst close rates. Referrals produce the fewest leads but close at 67% with almost no time investment. LinkedIn content closes at 25% for free.

A good AI output will identify referrals and LinkedIn as the high-leverage channels and tell you to cut or pause cold email and ads entirely while you build systems around what’s already working.

The prompt then pushes further by asking what a 10x focus on that channel would actually look like in practice.

For referrals, that might mean building a formal referral program with an incentive structure, following up with every past client within 30 days, and adding a referral ask to your post-project workflow.

For LinkedIn, it might mean going from two posts per week to daily content with a clear lead magnet attached.

Here’s the full prompt to copy:

“Current lead generation: [what you’re doing now]. Results: [leads per month, cost per lead, close rate]. Time invested: [hours per week]. What’s actually working: [honest assessment]. Which ONE channel produces the best leads? What would 10x focus on that channel look like? What am I doing that feels like work but generates nothing? How do I make lead gen systematized, not heroic? Show me where to put all my chips.”

4. How to Build the Retention Machine That Makes Real Money

Acquisition gets all the attention. Retention is where the actual margin lives.

Hormozi’s math on this is hard to argue with: acquiring a new customer costs five to seven times more than keeping an existing one, and a 5% increase in retention can produce a profit increase anywhere between 25% and 95% depending on the business model. Most service businesses spend 80% of their energy on new clients and almost nothing on the ones they already have.

The Retention and Ascension Model prompt is built around two linked questions. First, why do customers leave? Second, what should they naturally buy next?

When you answer both honestly, the AI can map out a customer journey that extends lifetime value without requiring you to constantly find new people.

A practical example makes this concrete. Say you run a social media management agency. Clients typically stay for four to six months before churning.

The main reasons they leave are that they don’t see clear ROI attribution, they feel like the work is on autopilot, and they don’t know what to do with the results they’re getting.

The next logical purchase after social media management might be paid ad management, content repurposing, or a monthly strategy call.

When those inputs go into the prompt, the AI can build a retention structure that looks something like this:

• Month 1 to 2: Onboarding report with baseline metrics and a 90-day growth target so clients know what success looks like
• Month 3: Mid-point check-in with a results summary tied directly to revenue or leads generated
• Month 4: Ascension conversation introducing paid ads as the natural next layer on top of organic
• Month 6+: Quarterly strategy sessions repositioning the agency as a growth partner, not a vendor

The prompt also asks the AI to think about what a three-year client relationship looks like. That framing alone changes how you design your service.

When you’re thinking about three years instead of three months, you start building systems that deliver increasing value over time rather than front-loading everything into the first 30 days.

Here’s the full prompt to copy:

“Current customer journey: [what happens after they buy]. Average customer lifetime: [how long they stay]. Reasons they leave: [why people cancel or don’t rebuy]. Next logical purchase: [what should they buy next?]. What product or service keeps them paying monthly? What natural ascension path am I missing? How do I make canceling painful by delivering massive value? What would a 3-year relationship with a customer look like? Build me the retention machine.”

5. How to Remove Every Obstacle Between Your Customer and Success

Most businesses accidentally make it hard to get results. They hand over a course login and a welcome email and call it onboarding. They teach when they should be doing.

They leave decisions to the customer that the customer was never equipped to make.

Hormozi’s principle here is that the business that removes the most obstacles wins, and the prompt built around this idea is one of the most immediately useful of the seven.

The Constraint Eliminator works by mapping out everything a customer currently has to do, think about, or figure out on their own, and then asking the AI to systematically eliminate each item.

The goal is to get as close to a done-for-you experience as possible, because the harder it is for customers to succeed, the faster they churn and the worse your word of mouth becomes.

Here’s how this plays out for an online business coach selling a 12-week program. The current requirements might look like this:

• Complete weekly video modules independently
• Book their own accountability calls through a scheduling link
• Build their own offer from a template without live feedback
• Track their own progress in a spreadsheet
• Troubleshoot tech setup for their sales funnel alone

Each of those items is a potential failure point. The AI’s job is to identify which ones you can eliminate entirely, which ones you can systematize, and which ones need a guarantee attached to reduce the perceived risk of buying.

In this example, a strong output might suggest pre-scheduling all accountability calls at signup, replacing the template with a live offer-building session in week one, and moving progress tracking into a shared dashboard the coach can monitor.

The result is a program that’s harder to fail at, which means better outcomes, better testimonials, and a stronger offer.

The prompt also asks for a done-for-you version of your offer. Even if you never build it, that thought experiment usually reveals two or three things you’re currently leaving to the customer that you could easily take off their plate right now.

Here’s the full prompt to copy:

“What customers must do to succeed: [current requirements]. Where they get stuck: [common failure points]. What I’m asking them to figure out: [things left to the customer]. Their objections before buying: [why they hesitate]. What can I do FOR them instead of teaching them? What guarantees remove all purchase risk? How do I eliminate every excuse for not getting results? What would a completely done-for-you version look like? Remove every obstacle between them and success.”

6. How to Stress Test Your Business Model Before It Breaks You

A business model that works at ten clients can collapse completely at one hundred.

The math changes, the time requirements compound, and bottlenecks that were invisible at small scale become emergencies. Most founders only discover these problems after they’ve already hit the wall.

The Business Model Stress Test prompt is designed to find the cracks before they find you.

The prompt asks you to input your unit economics, your time per client, and specifically what happens to your model at 10x your current volume.

That last question is where the most valuable insights come from, because most people have never actually run that scenario in writing.

Here’s what that stress test might reveal for a consultant doing $8,000 per client engagements at 60 days each:

That table makes the problem impossible to ignore. Revenue scales but time doesn’t, and without a structural change, growth makes the business worse rather than better.

The AI’s output for this scenario might suggest creating a productized version of the service, building a delivery team with standardized processes, or shifting from custom engagements to a group model where one consultant can serve multiple clients simultaneously.

The prompt also directly asks where you’re trading time for money instead of building leverage. That’s the core diagnostic question.

If your revenue goes up only when your hours go up, you don’t have a scalable business yet. The stress test makes that visible so you can fix it at a manageable size rather than a painful one.

Here’s the full prompt to copy:

“My business model: [how you make money]. Unit economics: [revenue per customer, cost to deliver]. Time per customer: [your hours invested]. How it breaks at scale: [what happens at 10x customers]. Does this model require my time linearly? What’s the bottleneck at 100 customers vs 1,000? Where am I trading time for money instead of building leverage? How do I make this more profitable and less dependent on me? Stress test this model until it breaks, then fix it.”

7. How to Turn Cold Outreach Into a Revenue Machine

Cold outreach has a reputation problem. Most of it is terrible. Generic subject lines, copy-paste pitches that lead with “I help businesses like yours,” and calls to action that ask for a 30-minute commitment from a stranger who has no idea who you are.

Hormozi’s position is that outbound is the fastest path to revenue when it’s done right, and doing it right means leading with value before you ever make a pitch.

The Outbound Offer Optimizer prompt rebuilds your cold outreach from the first sentence.

It starts by asking you to be honest about your current response rate, which for most people is somewhere between 1% and 3%.

That number matters because it anchors the AI to your real starting point rather than a theoretical best-case scenario.

The four questions the prompt asks the AI to answer are the difference between outreach that gets ignored and outreach that gets replies:

1. What problem do you solve in the first sentence, stated in the language your prospect actually uses?
2. How do you prove you researched this specific person rather than blasting a list?
3. What can you offer that requires zero commitment from them?
4. What call to action feels like a natural next step rather than a sales trap?

Here’s what that looks like applied to a video editor reaching out to YouTube creators.

A weak version of that outreach might read: “Hi [Name], I help creators like you grow their channels with professional editing.”

A strong version built from this prompt might open with a specific observation about their last video, offer a free re-edit of one section as a value-first hook, and close with a single yes-or-no question rather than a calendar link.

Same offer, completely different framing, and response rates that can jump from 2% to 15% or higher with the right execution.

The prompt works best when you paste in your actual current outreach message so the AI can critique it directly rather than building something generic.

Honest inputs produce honest outputs, and in cold outreach, the difference between good and average is almost always in the specificity of the first two sentences.

Here’s the full prompt to copy:

“Who I’m reaching out to: [ideal customer profile]. Current message: [what you’re sending now]. Response rate: [honest numbers]. Why they should care: [actual value you bring]. What problem do I solve in the first sentence? How do I prove I researched them specifically? What offer can I make that requires zero commitment? What’s the CTA that feels natural, not pushy? Turn my outbound into a revenue machine.”

If you want to get a head start applying all seven prompts before diving deeper into offer strategy, the YourFirst5kClub is a good next step.