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Hire an AI target market and pricing reviewer

Give it your offer and the price you charge now. You get a verdict on whether buyers can only compare you on price, and the first row to change.

What you give

  • Your offer and the price you charge now
  • The groups you could sell to, or what you can do so it can propose some
  • Reviews or call notes (optional)

What you get

  • A verdict on whether buyers can only compare you on price, and the first row to change
  • A score for each group on pain, money, reach and growth, and the one to commit to
  • A price set from what the result is worth, with a gap check and two tests

An example

Buyers keep asking for a discount or quote you against someone cheaper.

You ask: “Give it your offer and the price you charge now. Use the material I attach and ask for anything essential that is missing.”

You get back:

  • step-01-commodity-trap-checker.md. A side-by-side with rivals, a verdict on price-only comparison, a price-war sum and the first row to change.
  • step-02-starving-crowd-market-scorer.md. Each group scored on pain, money, reach and growth, groups ruled out, the pick and the tries to commit to.
  • step-03-niche-price-ladder-builder.md. The offer rewritten for narrower buyers, with the worth of one result, a price band and a reach check at each level.

An example, not your task.

Hire this specialist

It is free and needs no account. Download the pack, give it to your AI and tell it the job. Your AI asks for anything it is missing, then does the work and checks it.

Download the specialist

Related specialists

Skills and workflows for this job: Make an offer people want

Details

Everything it can hand back

Your task sets the actual outputs. The specialist picks the methods that cover them.

  • A verdict on whether buyers can only compare you on price, and the first row to change
  • A score for each group on pain, money, reach and growth, and the one to commit to
  • The offer rewritten for narrower and narrower buyers, with a price band and a reach check
  • A price set from what the result is worth, with a gap check and two tests

How it does the job well

  • Write for one named audience and one action. Each asset has a single job.
  • Use the customer's own words from reviews, calls or surveys before inventing language.
  • Every claim needs proof the business can show. Leave unproven claims out or mark them.
  • Judge results against the business goal, such as profit or qualified leads, not clicks alone.

Mistakes it avoids

  • Generic copy that could fit any brand.
  • Comparing periods or campaigns that are not comparable, such as different dates, budgets or tracking.
  • Calling a test winner before there is enough data.

What a good result looks like

An example, not your task: Buyers keep asking for a discount or quote you against someone cheaper.

  • step-01-commodity-trap-checker.md. A side-by-side with rivals, a verdict on price-only comparison, a price-war sum and the first row to change.
  • step-02-starving-crowd-market-scorer.md. Each group scored on pain, money, reach and growth, groups ruled out, the pick and the tries to commit to.
  • step-03-niche-price-ladder-builder.md. The offer rewritten for narrower buyers, with the worth of one result, a price band and a reach check at each level.
  • step-04-pricing-decision-planner.md. A price set from what the result is worth, a gap check, a cost multiple and two tests.
  • HAND-BACK SUMMARY. Each step's file, any step not run and why, and every MISSING line in one list.

How the work is checked

  • Only differences a buyer can see in seconds are counted in step 1.
  • A group with a zero in pain, money or growth is ruled out in step 2.
  • Each narrower level uses that group's own words and a problem only they have.
  • The price comes from what the result is worth, and rival prices appear only as a floor check.
  • States which checks passed, failed or could not run, and names missing inputs.

These checks have not been run against a model yet. Your AI uses them to check its own work.

A second opinion

Before it hands back, your AI reviews the draft the way Alex Hormozi and Kazuo Inamori would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

  • Check whether buyers can compare you on price. Lines you up against the alternatives, counts the differences a buyer can see in seconds and runs the price-war sum.
  • Score the markets you could serve. Scores each group on pain, money, reach and growth, rules out any with a zero, and sets how many tries you commit to.
  • Narrow the audience and price each level. Rewrites the offer for narrower buyers in their words, estimates what one result is worth to each and checks you can still reach enough of them.
  • Set the price from the value. Sets the price as a small share of what the result is worth, checks the gap and gives you two tests.

How the role works

  1. Checks your task, context and available tools.
  2. Picks the methods needed and prepares a work plan.
  3. Carries out supported tasks, with each method's limits and review gates.
  4. Checks the real deliverables and corrects supported faults.
  5. Hands back files, evidence and unresolved gaps.

Your specialist's working setup

Download the base specialist without a task form or account. README.md and SETUP.md explain how to use the folder. SOUL.md defines its scope. INTAKE.md asks missing questions inside your AI. PLAYBOOK.md, SKILLS.md, BEST_PRACTICES.md, CHECKS.md and HANDOFF.md guide the work and its checked deliverables.

Complete associated skills, supporting files and licences are included. Choose only the methods needed for the actual task. Keep context, working files and accepted feedback in your AI project.

Use this specialist through MCP or the API

Call prepare_specialist with role_id market-and-price-picker only. No task is required to load it. Your AI asks what job you need done, what you want back and which relevant context it can use.

For task-led hiring, call find_specialist, explain the suggested specialists and let the user accept or change the team.

Complete ZIP: Download base specialist. API: GET /api/v1/specialists/market-and-price-picker/pack. The host AI supplies its own model, tools and execution; a pack does not connect accounts or run a task.

Inputs and helpful context

The specialist starts from the task brief. Only active methods require their inputs.

For the primary method, when used

  • Your offer and the price you charge now
  • The groups you could sell to, or what you can do so it can propose some
  • Rivals and alternatives buyers mention (optional)
  • Reviews or call notes (optional)
  • Sales numbers (optional)

Tools and access

  • Any good chat AI: This is text and number work that any strong chat AI does well with the skill.
  • Any good chat AI: Comparing three prices and the arithmetic of total profit is work any strong chat AI handles.
  • A spreadsheet: Lets you change a sales guess and see total profit move.

Functions and deliverables

  • Target market and pricing reviewer: Share the offer, buyer evidence and costs. Get market comparisons, narrower audience options and price scenarios to test.
    • A verdict on whether buyers can only compare you on price, and the first row to change
    • A score for each group on pain, money, reach and growth, and the one to commit to
    • The offer rewritten for narrower and narrower buyers, with a price band and a reach check
    • A price set from what the result is worth, with a gap check and two tests
  • Offer price-comparison reviewer: Check if buyers see your offer as a commodity. Paste your offer and rivals, get a verdict, a price-war sum and the first row to change.
    • A side-by-side of you and each alternative, row by row
    • A count of differences a buyer can see quickly, and a verdict
    • The price-war sum for your numbers
    • The first row to change and what it would cost
  • Market demand scorer: Score the markets you could serve on pain, money, reach and growth. Find your starving crowd market and the one to commit to for a set number of tries.
    • A scored table of markets on pain, money, reach and growth
    • Which markets are ruled out and why
    • How strong your offer needs to be for the pick
    • One market to commit to, three places to reach it, and the first test
  • Niche offer pricing planner: Paste your offer and price. Get it rewritten for narrower buyers, each with a price and size check.
    • A ladder of four or five narrower versions of the offer, each with a rewritten promise and name
    • What one result is worth at each level, and a price band
    • A reach check for each level
    • The narrowest level that passes, and who it is not for
  • Pricing decision planner: Set a price from what your product is worth to the buyer. Get three test prices, total profit at each, the best pick and a plan to raise it.
    • What the result is worth to the buyer, with the sums
    • Three prices that could each work, with sales and total profit estimated at each
    • The price with the highest total profit, the gap to the worth and a buyer check
    • A plan to raise a price that is already live
    • A named owner and a review date
  • Brand profile builder: Share your website. Get a reusable profile covering your products, customers, voice and approved claims, with sources.
    • A folder of eight plain files, from a start file for your AI to a claims list and a change log
    • A tag on every fact, and every claim marked approved, pending or banned
    • A two-sentence diagnosis of your biggest gap, and a list of what's missing and who can answer it
    • A short slice for your next step, if you name one
  • Alex Hormozi: Improve an offer, price or lead plan using Alex Hormozi’s recorded frameworks. Check buyer needs, costs and honest promises before adding more leads.
    • Your problem worked on the way Alex Hormozi would: their questions, their method, their push-back
    • The answer or the work, in Alex Hormozi's voice, using their ideas by name
    • Anything that goes beyond their public record, marked
    • One suggested next step
  • Kazuo Inamori: Review team results or pricing using Kazuo Inamori’s recorded approach. Name the owner, show the costs and ask what is fair.
    • Your problem worked on the way Kazuo Inamori would: their questions, their method, their push-back
    • The answer or the work, in Kazuo Inamori's voice, using their ideas by name
    • Anything that goes beyond their public record, marked
    • One suggested next step

Tasks you can use it for

  • Buyers keep asking for a discount or quote you against someone cheaper.
  • You sell to anyone who will pay and want a group that can afford more.
  • You are unsure whether to go narrower or broader.

Limits to check before starting

  • You have a brand-new offer with no buyers yet: build your brand facts first with the Brand profile builder.
  • You want to add bonuses to an offer you already have: use the Offer bonus package builder.
  • You want to test a business idea or its risky guesses: use the Business model assumption tester.

Best way to use this role

Give it one clear outcome, the actual files and a definition of done. Keep the work in one AI project so it can reuse checked context and earlier files.

  • Download the handoff pack. It's a zip with HANDOFF.md and every skill file this workflow uses.
  • Give the folder to Claude (in Claude Code, or as files in a Claude Project) and say "Follow HANDOFF.md".
  • Share your offer and the alternatives buyers weigh against it. Check the side-by-side before it moves on.
  • Add what you know about each group's size and growth. Guesses are marked as guesses.
  • Pick the tries you will commit to in the market it chooses, before you start selling.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/market-and-price-picker for its role instructions and pinned sources.

This is a prepared AI role. No task has run. Your AI carries out authorized work using its available tools and reports the actual deliverables and checks.