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May 3, 2026/ google ads · audit · chatgpt

How to Audit Google Ads with ChatGPT (No Spreadsheets)

A six-prompt Google Ads audit workflow you can run in 15 minutes from ChatGPT or Claude — wasted spend, budget pacing, impression share and more.

A traditional Google Ads audit takes a PPC consultant five to ten hours: pulling search-term reports, cross-referencing budget pacing in spreadsheets, hunting through impression-share columns. With a read-only connector to ChatGPT or Claude, the same audit takes about fifteen minutes — and you can rerun it every Monday morning without lifting a finger.

This guide walks through a six-step Google Ads audit you can run entirely from chat, using connector.wtf's free Google Ads connector. Each step is one prompt.

Setup (one minute)

  1. Sign in to connector.wtf with your Google account.
  2. Pick the Google Ads accounts you want your AI to read.
  3. Paste the connector URL into ChatGPT (Connectors) or Claude.

Detailed steps with screenshots are on the Google Ads connector page. The scope is strictly read-only — the AI can analyse, but it can't change bids, pause campaigns, or edit anything.

Step 1 — Find wasted spend

Wasted spend is the easiest win in any account. Search terms with budget but zero conversions are either bad keyword matches or a tracking gap. Either way, you want them surfaced.

Show me search terms with more than $50 spend and zero conversions in the last 30 days, sorted by spend desc.

A good answer comes back as a ranked table: term, matched keyword, campaign, spend, clicks. From there you negative-match the obvious ones and flag the rest for landing-page review.

Step 2 — Budget pacing

Half the accounts we see are either underspending against intent or wildly overspending in the first week of the month. One prompt tells you which.

Which campaigns are on track to overspend their monthly budget by month-end? Show projected spend vs target.

Step 3 — Impression share losses

Impression share is the metric most marketers ignore because it lives in a column they have to unhide. In chat, you just ask:

Where am I losing impression share — to budget or to rank? Break it down by campaign for the last 30 days.

Lost-to-budget = raise the cap or reallocate. Lost-to-rank = bid, quality score, or ad copy work. The distinction matters and the connector gives it to you in one answer.

Step 4 — Device split

Compare mobile vs desktop CPA by campaign last 30 days. Highlight where mobile is more than 50% worse than desktop.

Mobile-heavy underperformance usually points at a slow landing page or a form that's hostile on small screens — fixable problems that a normal weekly review never surfaces.

Step 5 — Landing-page conversion rates

Which landing pages have the worst conversion rate, given they had at least 200 clicks last 30 days?

This is the prompt that turns a media review into a CRO backlog. Pair the worst page with its top keywords and you have a brief for the design team by Tuesday.

Step 6 — Negative keywords you're missing

Look at the last 90 days of search terms. Suggest negative keywords I should add — group them by theme and show the spend each would have saved.

ChatGPT will cluster the noise (job seekers, competitor brand names, free-intent searches) and give you a ready-to-paste negative list.

Make it a recurring weekly report

Save the six prompts as a single project or custom GPT. Every Monday, run them in order, drop the answers into a doc, and you have a weekly Google Ads health check that takes a coffee's worth of time.

If the audit surfaces something serious and you'd like a human pair of eyes, apply for a free Google Ads AI Action Plan — it's a focused review, not a sales call.

/ try it

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