Hire an AI search query analyst

Everything it can hand back

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

• Queries grouped by shared words and by what the searcher wants
• A waste list showing the money spent on queries that did not sell
• Negative keywords sorted by level (account, campaign or ad group), with the match type for each
• A list of conflicts, where a negative could block a keyword you want
• New keyword ideas from searches that converted, with where each should go
• Queries marked "review" because the data is too thin to decide

How it does the job well

• Judge every query on the numbers in the report. Quote spend, clicks and conversions next to every waste and winner call. Do not use outside averages or invented benchmarks.
• A query with too few clicks to judge (the user's threshold, or fewer than the clicks one sale would take at the target cost) goes on the Review list. Do not call it waste.
• Choose negative match types on purpose. A broad negative can block good searches, so prefer phrase or exact unless a word is wrong in every use. State the risk for any broad negative.
• Check each proposed negative against the user's keywords and the converting queries in the report. Do not propose a negative that appears in a converting query. List it under Clashes.
• Check any sums you give. If you cannot add the whole file, say which rows were counted.
• 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.

Mistakes it avoids

• Calling a query waste on a handful of clicks.
• Blocking brand searches in campaigns that should bid on them.
• Long lists of negatives with no reason attached.
• Copying the profile's example metrics as results.
• Generic copy that could fit any brand.
• Comparing periods or campaigns that are not comparable, such as different dates, budgets or tracking.

What a good result looks like

An example, not your task: You have not read your search terms report in a month and want to know where the money leaked.

• Query groups. Searches grouped by shared words and intent, with spend, sales and a verdict for each group.
• Waste list. Queries and groups that took money without sales, ranked by spend, with the reason.
• Negative keywords. Each negative with its match type, its level and the campaign or group it belongs to.
• Clashes and overlap. Negatives that could block wanted keywords, and campaigns that compete for one search.
• Keyword ideas from winners. Converting searches to add as keywords, with match type and where each should go.
• Review list. Queries with too little data to judge, with what to watch.

How the work is checked

• Every claim traces to the brand brain or supplied evidence.
• Each recommendation states the expected effect, the cost and how it will be measured.
• Copy fits the platform's length limits and the brand voice.
• 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 data. It confirms the date range, spend, conversions and target cost. Missing parts are asked once, then marked MISSING.
• Group the queries. It groups searches by repeated words and by intent, such as learning, comparing, brand or ready to buy.
• Find the waste. It adds up the spend on groups with no sales and ranks them by money lost. Small samples are marked review.
• Build layered negatives. It places each negative at account, campaign or ad group level and picks a match type, so it blocks only what it should.
• Check for clashes. It tests each negative against your keywords, and looks for campaigns that compete for the same search.
• Mine the winners. It lists converting searches that are not keywords yet, with where each should go.

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 paid-media-search-query-analyst 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/paid-media-search-query-analyst/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

• A search terms report from Google Ads, pasted or attached as CSV, with spend, clicks and conversions for each term
• Your target cost per sale or lead, or what a sale is worth
• The date range of the report and your total spend in it
• Your current keyword list and negative keyword lists (optional)
• A note on which campaigns are brand and which are not (optional)

Helpful context (optional)

• A 30 to 90 day report. A longer window shows more converting searches.
• Your margin per sale, so waste is judged on profit as well as cost per sale.
• The landing page for each campaign, to check the search matches the page.

Tools and access

• Claude, ChatGPT or Gemini with file upload: It can read a large search terms export and sum spend by group without you building a table. Check the sums on a few rows yourself.

Functions and deliverables

• Search query analyst: Find the wasted spend in your Google Ads search terms. Get a waste list, negative keywords by level and new keywords from converting searches.
  • Queries grouped by shared words and by what the searcher wants
  • A waste list showing the money spent on queries that did not sell
  • Negative keywords sorted by level (account, campaign or ad group), with the match type for each
  • A list of conflicts, where a negative could block a keyword you want
  • New keyword ideas from searches that converted, with where each should go
  • Queries marked "review" because the data is too thin to decide
  Source: Michael Sitarzewski and Agency Agents contributors.
• Google search term code planner: Get a coding brief that sorts Google Ads search terms into four groups and drafts negative keywords for wasted spend. Read-only, with tests.
  • A list of setup gaps before any file is written
  • A plan for a search term classifier with four groups and a rule for each
  • A plan for a negative keyword analyzer that removes duplicates and checks for conflicts
  • Negative keyword rows in a paste-ready layout for Google Ads Editor
  • Tests with made-up search terms, and a schedule proposal you approve or decline
• Problem-aware Google Search campaign planner: Build a problem-aware Google Search campaign for shoppers who type the problem, not your product. You get ad groups, matched ads and a page test plan.
  • Campaign settings for cold Search
  • Ad groups of 10 to 20 related terms, with exact and broad keywords
  • Ads with a keyword insertion headline and matched descriptions
  • A page test plan for each top query
• Google Ads search-term reviewer: Share a Google Ads search-term report and profit target. Get promising terms, suggested exclusions, judgment calls and the sums behind them.
  • Winners and where to use them
  • Negatives with match type and level
  • Terms left to your call
  • A waste score out of 100
• 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 have not read your search terms report in a month and want to know where the money leaked.
• Cost per sale crept up and you suspect broad match or Performance Max is showing your ads on the wrong searches.
• You want a negative keyword list built in layers, not one long list for everything.
• Some searches sell well and you want them turned into keywords with their own control.

Limits to check before starting

• You want one quick sort of a single report into winners and junk. Use the Search term sorter.
• You need a plan for your whole account structure and budget. Use the Paid search campaign planner.
• You think your sales tracking is wrong. Use the Conversion tracking planner first.
• You want display or social ads reviewed. This agent covers search terms only.

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 pack from this page and add it to your AI as a skill. If you cannot, paste SKILL.md into a new chat, then paste references/source-agent.md.
• Export the search terms report from Google Ads, with at least 30 days of data if you can. Paste it in or attach the file.
• Add your target cost per sale, the date range and which campaigns are brand. Add your current negative lists if you have them. No code or Google Ads connection is needed.
• Type "Review these search terms. Show the spend and sales behind every decision. Mark thin data as review."
• Read the waste list first, then check the negatives it proposes against your keyword list. Skip any that could block a sale.
• Add the negatives in Google Ads yourself. Run the report again in two to four weeks to see what changed.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/paid-media-search-query-analyst 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.