Build an offer people say yes to, priced against what your market really charges.
Builds an offer people say yes to and prices it against what your market really charges. You get a one page offer sheet with three tiers, a costed guarantee, and the proof behind every claim.
About 11 credits a run · Works in ChatGPT, Claude and the AI you already use
How to ask for it
Ask your AI in your own words.
Once Loadout is connected, your AI picks this power when you ask for the job. This request runs it, with the underlined parts swapped for yours.
Use Loadout to build and price an offer for my bookkeeping service for restaurants
It also runs when you say things like
- help me create an offer
- how much should I charge
- price my service or coaching offer
- package my services
- what do agencies charge for this
- my offer isn't selling
- nobody replies to my pricing
- make my offer irresistible
What you get
Six pieces of finished work.
A one-page offer sheet with three tiers, a costed guarantee and the proof behind every claim.
- 01A one page offer sheet with the outcome named
- 02Three price tiers, each placed against the market band
- 03A guarantee costed at three claim rates
- 04A ladder from entry offer to retainer
- 05The top three objections, each with its proof
- 06What buyers in this market say and pay, dated
Your route
Five ways to run it.
Your AI asks where you're starting from and picks the route that fits. You can always choose another.
Full buildMost people start here
When the offer is new, or it is not selling.
Price only
When the offer works and the number is the question.
Free sheet
When the balance is small, or this is a first pass.
Guarantee rework
When the guarantee is scaring you or costing you money.
Client offer
When you are building the offer for a client.
What it asks you
- The result they can confidently promise, and by when
- What the problem costs the customer today
- What they charge now and how long the work takes them
- Who it is for, and where
- What proof they already hold
The live data it reads
Find agencies
Agencies that sell a service in a market, with their rates, minimum projects and standing.
Find freelance buyers
Buyers hiring right now on a freelance marketplace for a service, ranked by how good a client they look.
Research keywords
Finds what people search for around a topic, with monthly searches, cost per click, difficulty and the current top results.
Size a market
Estimates how many businesses of a type exist in an area, how that number is changing, and how many people live there.
Scan website
Audits a website, covering technology, speed, AI crawler access, structured data, contact details, page weight and the layout at each screen width, with the top fixes.
Research customer voice
What buyers say in their own words across Reddit, YouTube and review sites: pains, wishes, switching and price talk, with the phrases they repeat.
Get competitor ads
Shows the ads competitors run on Meta, Google, TikTok and LinkedIn, how long they have run them, and which ones look like winners.
Check AI visibility
Shows which businesses ChatGPT, Perplexity, Gemini and Google AI recommend, and how often they recommend yours.
Find businesses
Finds local businesses on Google Maps by niche and place, with ratings, reviews, websites and listing gaps.
What it costs
About 11 credits a run.
For rate bands and posted budgets read once. Your AI shows the cost before it starts, and nothing is spent without your yes.
Not made for
It does not price software sold by subscription at scale, or write the legal wording of a guarantee.
The work around it
Part of the AI Automation playbook.
Find the work AI can take over, then build it. Every piece below comes from one run of the playbook, for one business. Pick another to see its set.
The whole AI Automation playbook
Find the work AI can take over, then build it.
Offer sheet
Packages, prices and a guarantee, pressure-tested.
Prospect list
Businesses that need it, with the owner's contact.
Outreach, call brief and proposal
A sequence, a call brief, a proposal to sign.
Opportunity note per prospect
The hours AI could give back, priced.
Opportunity map and build spec
The pilot, written so it can be built.
Go-live checks and handover pack
Live, tested, and handed over to the team.
Monthly impact report
What it saved this month, in hours.
Client file per client
Starting numbers, what was agreed, every month.
Opening 12 November
Join the waitlist.
Loadout opens to everyone on 12 November. Leave your email and we'll tell you the moment it does.
Goes well with
In seven playbooks.
A playbook runs its powers in order, from finding the client to the monthly report. Every power and playbook is in the one plan.
Questions
Before you run it.
How much does Offer Builder cost?+
About 11 credits a run, for rate bands and posted budgets read once. Your AI shows the cost before it starts.
What does Offer Builder hand over?+
A one-page offer sheet with three tiers, a costed guarantee and the proof behind every claim. A one page offer sheet with the outcome named. Three price tiers, each placed against the market band. A guarantee costed at three claim rates. A ladder from entry offer to retainer.
What do I need to give it?+
The result they can confidently promise, and by when, What the problem costs the customer today, What they charge now and how long the work takes them, Who it is for, and where, What proof they already hold. Your AI asks for anything missing.
Which AI apps does it work in?+
ChatGPT, Claude, Claude Code, Codex, Grok and Muse. You connect Loadout once and the same account works in all of them.