Hire an AI ad lead quality reviewer

Everything it can hand back

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

• A call: raise the number of replies, raise their quality, or fix the ad first
• Three changes to the offer, from one list, with what each should do
• A rewritten coupon or form with a field table and a code
• A short results report after your run
• A log entry for each ad, with what to keep and what to try next

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: Your ad brings replies, but too few, or too many that never buy.

• Step 1: The call. Reply, good-lead and sales counts for each ad, cost per sale, and a call to raise numbers, raise quality or fix the ad.
• Step 2: The new offer. Three changes to the reply offer, the new wording, and what was left alone.
• Step 3: The form. A check against the form rules, a rewritten coupon or form, a field table and a code.
• Step 4: The results. A one-line answer on what changed after your run, with three actions.
• Step 5: The log entry. A record for each ad: conditions, results, what it shows and does not show, and the next change.
• 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 Victor Schwab would. This is a way of reviewing the work. It does not mean they wrote or endorse it.

Capabilities

• Find out which problem you have. Counts replies, good leads and sales for each ad, adds follow-up cost, and calls raise the number, raise the quality, or fix the ad first. Step 2 reads this call.
• Tune the reply offer. Follows the raise list or the cut list and picks three changes your facts allow, then rewrites the offer.
• Fix the coupon or form. Checks the form against ten rules, sells the offer inside it, sets the fields to match the call and adds a code.
• Run the ad. You run each version with its own code for long enough to collect enough replies.
• Read the results and log them. Compares the totals from before and after your run, gives a one-line answer with three ranked actions, then writes a log entry for each ad.

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 better-leads-from-ads 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/better-leads-from-ads/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 reply offer, meaning what a reply gets the person, with exact terms
• Numbers for each ad: cost, replies, good leads, sales
• Your current coupon or form, as it ran
• Your totals from before and after the new offer and form ran, for step 4
• What it costs you to follow up one reply (optional)

Helpful context (optional)

• Reply, good-lead and sales counts for each coded ad
• Your current coupon or form, as it ran
• Your offer terms, written exactly

Tools and access

• Any good chat AI: The sums and the rewriting are text work any strong chat AI does with these skills.
• A spreadsheet: Holds the log and lets you redo the sums yourself.
• Any good chat AI: The work is sorting and writing from facts you supply, which any strong chat AI does well with this skill.
• Any good chat AI: Claude, ChatGPT and Gemini all do the sums well when the totals are pasted as a table with clear column names.
• Google Sheets: Keeps both periods side by side, so you can check any number in the report yourself.
• A spreadsheet: Holds the log, one row per entry, so you can filter by idea and see what keeps winning.

Functions and deliverables

• Ad lead quality reviewer: Use your lead results to review the offer and reply form, then compare a real test and log the lessons.
  • A call: raise the number of replies, raise their quality, or fix the ad first
  • Three changes to the offer, from one list, with what each should do
  • A rewritten coupon or form with a field table and a code
  • A short results report after your run
  • A log entry for each ad, with what to keep and what to try next
• Lead quality reviewer: Share ad results. Find whether you need more leads or better leads, with the calculations behind the recommendation.
  • Cost per reply, per qualified lead and per sale for each ad
  • A call: raise the number, raise the quality, or fix the ad first
  • Outside factors that may explain the result
  • What to change in the offer, in plain terms
• Lead magnet reviewer: Get more replies, or fewer weak ones, from a free guide, sample, quote or call. Get three changes and your reply offer rewritten.
  • The list used, and the three changes picked
  • The fact each change needs, or a note that a change was skipped
  • The rewritten offer, its title and where to put it
  • What each change should do to the count and the quality, marked as a guess
  • What to leave alone so you can read the test
• Coupon and form fixer: Fix a reply coupon or sign-up form so it sells your offer and asks only what you need. Paste the form and offer to get a rewrite with a tracking code.
  • A rewritten coupon or form
  • A field table: keep, drop or add, with the reason
  • A code to place on it for tracking
  • A list of rules it passed and failed
• Ad results report writer: Paste two periods of ad totals. Get the one-line answer, what changed and three ranked actions.
  • A coverage line saying what the report includes and what's missing
  • The answer in one line, at the top
  • A table of the main numbers, this period against last, with the change
  • Two to four changes that matter, one unresolved worry, and three ranked actions, with budget changes marked for approval
  • Any of its own checks the report still misses, each named
• Ad test results tracker: Share ad results. Get a dated test record with the ad identifier, conditions, findings and next test.
  • A log entry with a fixed set of fields, ready to paste into your sheet
  • A plain reading of what the result shows and what it does not
  • A call on whether the gap against the older ad is big enough to count
  • The idea to keep running and one change to try next
• 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
• Victor Schwab: Review ad headlines and openings using Victor Schwab’s recorded approach. Name the reader, support the promise and plan how to track responses.
  • Your problem worked on the way Victor Schwab would: their questions, their method, their push-back
  • The answer or the work, in Victor Schwab'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

• Your ad brings replies, but too few, or too many that never buy.
• Your sales team complains about weak leads.
• Your form is a bare box and people do not finish it.

Limits to check before starting

• You want to build awareness with no reply offer: use the Ad results report writer to read how that ad did, or ask a marketer to set a goal first.
• Your sales fell and you do not know why: use the Ad sales drop analyst to find the cause before you change the offer.
• You only want to know why one ad gets few replies: use the Ad response copy editor.

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".
• Give it your offer, your numbers for each ad and your form. It works through the first three steps and then stops.
• Run the ad with a code on each version. Come back with your totals from before and after, and it finishes the last two steps.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/better-leads-from-ads 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.