Hire an AI Google Performance Max launch reviewer

Everything it can hand back

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

• A go or wait verdict, with the budget floor worked out for your numbers
• Asset groups, brand exclusions, bidding and a review rhythm
• A list of products, pages, placements and search terms to exclude or replace, with a waste score
• A pass or fail on five scaling gates and a safe step size for raising spend

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: You run steady Shopping and Search and want to add Performance Max without handing it the whole budget.

• Step 1: Launch plan. A go or wait verdict, the budget floor, asset groups, brand exclusions, bidding and a review rhythm.
• Step 2: Clean-up. Findings by day, week and month, an exclude or replace list, a reality check and a waste score.
• Step 3: Scale check. A pass or fail on five gates, your return against break-even, a step size and a go or wait call.
• 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

• The fit verdict uses your numbers and says wait if you fall short.
• Brand is excluded, or the plan says why it is not.
• Every exclusion in step 2 names the product, page or term and the spend behind it.
• The scale call compares your return with break-even, not with Google's number alone.
• 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.

Capabilities

• Check the fit and plan the build. Works out the budget floor from two rules, says go or wait, then plans asset groups, brand exclusions, signals and bidding. If the answer is wait, it names what to build first.
• Clean it after the first weeks. Pauses while you build and run the campaign for three to four weeks and export the reports. Then it finds products, pages, placements and search terms that spend without selling, applies a budget rule and scores the waste.
• Decide whether to scale. Checks feed, tracking, structure, creative and bid readiness, compares your return with break-even and calls go or wait, with a step size and days between steps.

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 launch-performance-max-keep-it-clean-and-know-when-to-scale 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/launch-performance-max-keep-it-clean-and-know-when-to-scale/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 products with prices and margins, and which ones sell best
• Your daily budget, conversions per month and average cost per sale on non-brand search
• Whether your feed and purchase tracking are working
• After the pause, the asset group, product, search term and placement reports

Tools and access

• Google Ads: Where Performance Max campaigns, asset groups, brand exclusions and reports live.
• Google Merchant Center: A clean, approved feed is the first thing the fit test checks.
• Any good chat AI: Any current chat AI can run the fit test and build the plan.
• Google Ads: Search term insights, product, asset, landing page and placement reports come from here.
• Shopify: Your backend revenue and new-customer data check Performance Max against reality.
• Any good chat AI: Any current chat AI can read a pasted export.
• Google Ads: Conversions by campaign, bid strategy and asset counts are all in the account.
• Google Merchant Center: Diagnostics shows the disapproved and warning counts for gate 1.
• Any good chat AI: Claude, ChatGPT and Gemini all add up points and check gates well.

Functions and deliverables

• Google Performance Max launch reviewer: Share product data, profit limits and campaign results. Get a launch proposal, later cleanup findings and a reasoned spending review.
  • A go or wait verdict, with the budget floor worked out for your numbers
  • Asset groups, brand exclusions, bidding and a review rhythm
  • A list of products, pages, placements and search terms to exclude or replace, with a waste score
  • A pass or fail on five scaling gates and a safe step size for raising spend
• Performance Max launch planner: Share your store feed, purchase data and budget. Get a launch recommendation and draft campaign plan using stated course rules.
  • A go or wait verdict with the numbers behind it
  • A campaign and asset group map with listing groups
  • Asset counts and the settings to switch off
  • A bidding and budget plan, plus setup fixes if you already run it
• Performance Max campaign reviewer: Share campaign exports and break-even figures. Get proposed exclusions, budget guidance and a custom spend score where the data supports it.
  • Daily, weekly and monthly findings with missing evidence shown
  • Proposed product, page, term and asset changes to review
  • A supported budget proposal or hold, with the source-rule limits
  • A matched trend comparison and descriptive score where unique flagged spend is known
• Google Ads scaling readiness reviewer: Check your Google Ads account before you raise spend. Get pass or fail on five gates, a score out of 100 and a go or wait call.
  • Pass, fail or unknown for each of the five gates, with the evidence
  • A score out of 100, with the sum shown
  • A fix list in order, and a go or wait call with a safe step-up size
• 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

Tasks you can use it for

• You run steady Shopping and Search and want to add Performance Max without handing it the whole budget.
• Performance Max looks great in Google but your store sales are flat.
• You want a rule for when to raise the budget and by how much.

Limits to check before starting

• You are under the budget floor or your tracking is not working: run Shopping and Search first, and fix your feed and purchase tracking before you try this.
• You want to read a drop in sales across all your ads: use the Ad sales drop analyst.
• You only want a report on how your ads did last month: use the Ad results report writer.

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 real break-even numbers. If you do not have them, say so and it will mark the gap.
• When it pauses, build the campaign, leave the big settings alone for three to four weeks, then export the reports.
• Raise the budget only in the steps it gives you.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/launch-performance-max-keep-it-clean-and-know-when-to-scale 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.