Use case · Marketing

Find the ad spend that is not earning its keep

To audit an ad account with AI agents, export your campaign report from the ad platform and hand it to a Brainwrite bot with Google Analytics access. It joins spend with conversions, ranks campaigns and keywords by wasted spend, and drafts a short fix list. The bots recommend; you change bids, budgets, and ads in the platform yourself.

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Ad account audit

Here is last month's Google Ads campaign and search term export in the Ads audit sheet. Compare it with Google Analytics purchases for the same dates, rank the campaigns by cost per purchase, list search terms that spent over 50 with no purchase, and draft three new headlines for the worst ad group. Do not change anything.

Your Chief of Staff put a team on it

  • Nova· Chief of Staff
  • Atlas· Ads analyst
  • Sage· Ad copy reviewer
  • Spend reviewed: 4,820 across 9 campaigns; 1,140 went to search terms with no recorded purchase
  • Worst offender: 'free invoice template' spent 410 with 0 purchases; suggested as a negative keyword
  • Brand campaign returns the lowest cost per purchase; no change recommended
  • Source gap: the ad platform reports 62 conversions, Google Analytics 41; both figures shown

DoneSaved as a routine: Mondays at 9:00, after you refresh the export. It starts paused until you turn it on.

An illustrated example. Your team works on your own files and apps.
A performance marketer marks up an ad review at her laptop while illustrated Brainwrite AI agents Atlas and Penny work through the numbers.
NovaChief of Staff
7:40 am

Ad account audit: done. Nothing sent.

  1. 1Spend reviewed: 4,820 across 9 campaigns; 1,140 went to search terms with no recorded purchase
  2. 2Worst offender: 'free invoice template' spent 410 with 0 purchases; suggested as a negative keyword
  3. 3Brand campaign returns the lowest cost per purchase; no change recommended
3 bots on this job
Every bid, budget, keyword, and ad change, made in the ad platformWaiting for your yes

The job

Doing it yourself, and handing it off.

Doing it yourself

The ad platform shows clicks and its own idea of conversions. Analytics shows a different number. The spreadsheet that reconciles them was last updated two months ago. To find the waste, you export campaign and search term reports, line them up against analytics by date and campaign name, and scan hundreds of rows for keywords that spend and never convert. It takes an afternoon, so it happens once a quarter instead of every week.

What the team does

  • Join exported ad spend with Google Analytics conversions by date and campaign
  • Rank campaigns and search terms by cost per conversion
  • List search terms that spent money and never converted
  • Draft replacement ad text for the weakest ads, with the reason for each

What waits for you

  • Every bid, budget, keyword, and ad change, made in the ad platform
  • Which conversion counts as the real one when the two sources disagree
  • Whether a low-volume campaign has had enough time to judge

The team

Who's on it.

Your Chief of Staff picks the specialists the job needs. Each has its own role, instructions, model, and app access.

  • NovaIllustrated example

    Chief of Staff

    Takes the request, hands the analysis to the specialists, and writes one ranked fix list.

  • AtlasIllustrated example

    Ads analyst

    Reads the exported campaign and search term reports, joins them with Google Analytics conversions, and flags spend with no return.

  • SageIllustrated example

    Ad copy reviewer

    Reads current ad text and landing pages in its built-in browser and drafts alternatives for the weakest ads. Drafts only.

How it runs

A run, step by step.

  1. 01

    Export the reports

    Export campaign and search term reports from your ad platform into Google Sheets or a CSV in the bot's working folder.

  2. 02

    Connect analytics

    Connect Google Analytics so the analyst can run conversion reports for the same dates and campaigns.

  3. 03

    Run the audit

    The analyst ranks campaigns, ad groups, and search terms by cost per conversion and marks anything that spends with no conversions.

  4. 04

    Decide the changes

    Read the fix list with its evidence, then make the changes you agree with in the ad platform yourself.

What you'll connect

Apps this job uses.

FAQ

Questions about Ad account audit

Can Brainwrite connect directly to Google Ads or Meta Ads?

Brainwrite's integrations directory does not list an ad-platform connector today, so check the connected apps list in the app for your platform. The reliable route is to export campaign and search term reports to Google Sheets or a CSV. If your ad platform's vendor provides an MCP server, you can add it as a custom MCP server.

Will the AI change my bids or budgets?

No. This job is set up to read and recommend. The bots work from exported reports and analytics, rank what is wasting money, and draft new ad text. Every bid, budget, keyword, or ad change is something you make in the ad platform after reading the evidence.

Can it look at competitors' ads?

If you connect Semrush, a bot can read paid search keywords and ad copy history for a domain, including a competitor's. That shows what they bid on and how their ads have read over time. It does not show their spend or results, so treat it as context, not a benchmark.

Built on

Features this job relies on.

Keep going

Put a team on something else.

Give your first job to Brainwrite.

Download the app, connect the AI you already pay for, and tell your Chief of Staff what needs doing.

Download for MacSee how it works

macOS today. Windows and Linux are coming soon.