Hire an AI Google Ads non-brand return reviewer

Everything it can hand back

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

• Break-even ROAS and cost per sale for your margin, targets for any product with a different margin, and a score out of 100 on whether ads can pay
• Brand share of spend and conversions, true non-brand ROAS against break-even, and the campaigns leaking brand terms
• A split plan with exact-match negatives, a role and target per campaign and a separation score out of 100
• A pass, fail or unknown result for five gates, a score out of 100, a go or wait call and a safe step size

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: Google shows a good ROAS but sales are flat.

• Break-even step. Break-even ROAS and cost per sale, targets by product margin, and whether ads can pay at your clicks and sales rate.
• Brand split step. Brand share of spend and sales, non-brand ROAS against break-even, campaigns leaking brand terms, and a split plan.
• Scale gates step. A pass, fail or unknown result for feed, tracking, structure, creative and bid maturity, plus 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

• 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.

Capabilities

• Work out break-even. Checks your price, cost and margin inputs, then works out break-even ROAS and cost per sale. It gives separate targets where margins differ and says whether ads can pay at your clicks and conversion rate.
• Export 30 days. A pause. You export the last 30 days from Google Ads with campaigns, search terms and conversions, and mark which terms are your brand.
• Split brand from non-brand. Measures how much brand traffic flatters ROAS, works out true non-brand ROAS against break-even, and lists the leaks in Search, Shopping and Performance Max. It sets different targets for each.
• Check the scale gates. Checks feed, tracking, structure, creative and bid maturity, then runs the profit check against break-even. It gives a go or wait call and a stepped plan for any rise.

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 find-your-honest-google-roas-and-decide-whether-to-raise-spend 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/find-your-honest-google-roas-and-decide-whether-to-raise-spend/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

• Prices, product costs, shipping and fees, so margin can be worked out
• The last 30 days exported from Google Ads, with campaigns, search terms, spend and conversions
• Which search terms are your brand, including misspellings
• Your planned new spend (optional)
• Your brand file (optional)

Tools and access

• Any good chat AI: It does the arithmetic and asks follow-up questions. Check the sums yourself once.
• Shopify Analytics: Gives your real AOV, new-customer share and repeat rate to paste in.
• Google Ads Keyword Planner: Shows the cost per click for your products, so the skill can check the fit.
• Google Ads: Campaign export, search terms, search category report and auction insights all come from here.
• Any good chat AI: Any current chat AI can work from pasted exports.
• 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 Ads non-brand return reviewer: Set break-even targets from your margins. Split brand and non-brand searches, then review the evidence before proposing more spend.
  • Break-even ROAS and cost per sale for your margin, targets for any product with a different margin, and a score out of 100 on whether ads can pay
  • Brand share of spend and conversions, true non-brand ROAS against break-even, and the campaigns leaking brand terms
  • A split plan with exact-match negatives, a role and target per campaign and a separation score out of 100
  • A pass, fail or unknown result for five gates, a score out of 100, a go or wait call and a safe step size
• Break-even ROAS and CPA calculator: Share order value, costs and ad figures. Get ad-cost limits, a matching cost check and clear gaps before choosing a test.
  • Sales-to-ad-spend threshold and ad allowance per order, with valid inputs and formulas
  • Matching cost-per-order comparison, or an unresolved result
  • Separate targets where supported costs differ
  • Custom checklist with checked maximum, missing evidence and a proposed next check
• Google Ads brand traffic splitter: Share matching Google Ads reports and brand names. Compare visible brand and non-brand results, check data gaps and plan supported exclusions.
  • Visible brand and non-brand shares, plus report coverage and unknown queries
  • Reported attributed non-brand return and a supported cost comparison
  • Observed branded queries and proposed exclusions with match types and test cases
  • A campaign plan and custom rubric showing applicable points and unchecked items
• 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

• Google shows a good ROAS but sales are flat.
• You are thinking of raising the budget and want to know it is safe.
• Your Shopping or Performance Max campaigns seem to claim sales you would have made anyway.

Limits to check before starting

• You have under about 30 days of data or very few sales: wait and collect more first, because the numbers will be too noisy to act on.
• You need to find out why sales dropped: use the Ad sales drop analyst.
• You only want a report on how a past ad test did: 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 order value, product cost and fees first. It will not guess your margin.
• When it pauses, export 30 days from Google Ads with search terms. Mark your brand terms.
• Read the non-brand ROAS before the go or wait call. If it is below break-even, fix that before spending more.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/find-your-honest-google-roas-and-decide-whether-to-raise-spend 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.