Hire an AI buyer-specific offer test planner

Everything it can hand back

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

• Four to six buyer angles, each with its own offer and page title
• A review of each offer with a score and the three changes to test first
• Profit per visitor for each offer, a winner and how safe that call is
• A test plan with a control, a read-out table and a spend rule

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: One product sells to different buyers and your page speaks to all of them at once.

• Step 1: Angles and offers. Four to six buyer angles, one offer for each, and a list of claims you must check.
• Step 2: Offer review. A score for each offer, the checks passed and failed, and the three changes to test first.
• Step 3: Profit per visitor. A cost table for each offer, profit per visitor, flags for losing baskets, and a winner.
• Step 4: Test plan. A control offer, the tests to run, a read-out table and a rule for moving ad spend.
• 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

• Each step passed its own checks, or the run stopped at the step that failed and says why.
• The steps ran in order, and each one used the result of the one before.
• Nothing was invented to fill a gap. Every gap is a MISSING: line.
• Nothing was sent, published or paid for without a clear yes.
• 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 Gary Bencivenga would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

• Write an offer for each buyer angle. Reads your reviews, keeps the four to six reasons buyers give, and builds one offer around each without changing the product. It lists every claim you must check.
• Review the offers against a checklist. Takes the angles and offers from the step before. Checks each for one clear thing sold, a believable reason for any deal, a guarantee and a higher option, then picks the three changes worth testing.
• Check profit per visitor. Takes the revised offers, builds a cost table for each and works out profit per visitor. It flags any offer where the basket grows but profit falls.
• Pause and run the offers. You run each offer on its own page for the same dates and traffic, then export visits and orders for each.
• Plan the test. Reads the revised offers, the profit check and your results. Sets a control, splits new and returning buyers, checks you have enough visits, and gives a rule for moving spend.

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 write-offers-for-each-buyer-type-and-pick-the-best 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/write-offers-for-each-buyer-type-and-pick-the-best/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 product, its price and what you may truthfully say about it
• Reviews, survey answers or support lines in your buyers' words
• Your costs per order, including shipping and fees
• Visits and orders for each offer, once you have run them
• Your brand file (optional)

Tools and access

• Any good chat AI: Any current chat AI can group review language into angles and draft offers.
• Shopify: Each angle can be its own product page template or landing page.
• Any good chat AI: Reviewing terms and ranking changes is text work any strong chat AI does well with this skill.
• Any good chat AI: It builds the cost tables and sums from the numbers you paste.
• Google Sheets: A sheet keeps the cost lines in one place so each new test only needs sessions and orders.
• Shopify admin reports: Sessions, orders and conversion rate by landing page for each variant.
• Any good chat AI: It plans the tests and builds the table from the numbers you paste.
• Klaviyo: Sign-up forms there can store a quiz answer as a profile property and split-test forms.
• Shopify admin reports: Sessions, orders and conversion by landing page feed the table.

Functions and deliverables

• Buyer-specific offer test planner: Share one product, reviews, costs and traffic data. Get offers for buyer groups, profit checks and a controlled test plan after real trials.
  • Four to six buyer angles, each with its own offer and page title
  • A review of each offer with a score and the three changes to test first
  • Profit per visitor for each offer, a winner and how safe that call is
  • A test plan with a control, a read-out table and a spend rule
• Product angle and offer planner: Share one product, allowed claims and buyer reviews. Get supported buyer angles, page ideas and offer drafts, with cost and claim checks still needed.
  • Four to six buyer angles for the same product, each with a product title, headline and page plan
  • An offer built on each angle's own need
  • A partner or gift idea at near-zero cost where one fits
  • A list of claims to check before use
• Offer checklist reviewer: Check your offer, price and guarantee against a short checklist. Get a score out of 100 and the three offer changes to split-test first.
  • The offer in one line
  • A checklist review with a score out of 100 and how it was worked out
  • A revised offer
  • The three changes to test first, each with a test and a measure
• Offer profit-per-session checker: Share offer variants, full costs and traffic results. Compare contribution per session, break-even figures and a custom evidence score.
  • A table of net profit per order and per session for every variant
  • Break-even ROAS and CPA for each, and a flag for offers that raise AOV but lower profit per session
  • A winner and a recommended next test
  • A trust score out of 100 with the sum shown, and a list of checks it could not run
• Offer test planner: Plan offer tests for your online store. Give it your offer and weekly visits. Get two to four separate tests, a tag to track and a spend rule.
  • Two to four offer or buyer-type tests, each on its own page
  • The pop-up or survey question to ask and the tag to store the answer
  • A table to fill in per test, plus a rule for moving ad spend
  • A survey to send 90 to 120 days later, and a list of checks it missed
• 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
• Gary Bencivenga: Review a sales promise and its proof using Gary Bencivenga’s recorded approach. Match the problem, believable claim and clear offer before planning a test.
  • Your problem worked on the way Gary Bencivenga would: their questions, their method, their push-back
  • The answer or the work, in Gary Bencivenga'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

• One product sells to different buyers and your page speaks to all of them at once.
• Your offers are all discounts and you want something that keeps your margin.
• You have several offer ideas and no fair way to choose between them.

Limits to check before starting

• Your product has one kind of buyer: use the Product angle and offer planner on its own.
• You only want to know if a discount still pays: use the Discount margin and ad-cost checker.
• You sell only by subscription and care about repeat orders: use the Ad reach planner.

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".
• Paste your reviews and your costs. Round costs up.
• When it reaches the pause, put each offer on its own page for the same dates and traffic. Come back with visits and orders.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/write-offers-for-each-buyer-type-and-pick-the-best 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.