AI agent for Google Ads: audits, optimization and campaign builds
The agent reads your Google Ads account through the official API (GAQL), reasons about a plain-language goal, and can act on it — pausing underperformers, mining search terms into negatives, rebalancing budgets, building Responsive Search Ads or Performance Max campaigns, and managing audiences. It reuses one Google OAuth connection and works across a manager account (MCC), fanning one goal out to many sub-accounts with a dry-run preview first. Reads run immediately; by default every write waits for your approval, and auto-approve (opt-in, inside your spend caps) never covers deletes, money movement or publishing.
Connecting it, and what it asks for
- 1Open Integrations and click Connect on the Google Ads card.
- 2Sign in with a Google account that can see the accounts you want. An MCC works: every account under it becomes selectable at once.
- 3Pick the accounts for this task with the context picker, then write a goal.
adwords — one scope, the same one the Google Ads API itself uses. A first goal worth typing: Audit the last 30 days and list the ten search terms wasting the most spend.What the agent does with Google Ads
- Reads campaigns, ad groups, ads, keywords and performance metrics via GAQL.
- Mines the search-terms report into negative-keyword recommendations.
- Adjusts bids, budgets and status (pause/enable) — approval-gated.
- Builds Responsive Search Ads and Performance Max campaigns from a goal.
- Manages audiences and remarketing lists.
- Fans one goal across an entire manager account (MCC) with a dry-run preview.
Real use cases
These are the kinds of goals people type into the Workspace against a connected Google Ads account. The agent plans the steps, shows you what it found, and pauses at anything that writes.
| Goal you'd type | What the agent does |
|---|---|
| "Review last week's performance and flag anything wasting spend." | Pulls campaign/ad-group metrics, highlights high-spend/zero-conversion segments, and proposes pauses or bid cuts. |
| "Find negative keywords from the last 30 days of search terms." | Mines the search-terms report for irrelevant queries and proposes a negative-keyword list, scoped to phrase/exact match. |
| "Rebalance this month's budget toward the campaigns with the best ROAS." | Ranks campaigns by ROAS/CPA, proposes a reallocation, and waits for approval before touching any budget. |
| "Launch a brand-defense search campaign for our top 20 branded terms." | Drafts an RSA campaign — ad groups, headlines, descriptions, exact-match branded keywords — for review before it goes live. |
| "Run this audit across every account in our MCC." | Fans the same check out to every sub-account, shows a per-account dry-run, and applies only the ones you approve. |
Guardrails
- Every write — bid, budget, status, new campaign — pauses for approval, in-app or by email magic-link.
- Account state is re-validated right before a write applies, so stale recommendations can't fire against a changed account.
- MCC-wide changes preview with a dry-run before anything applies across accounts.
Choosing a tool
Comparing options rather than reading about this one? We wrote an evaluation guide with the criteria, the red flags and where each category of tool fits: the best AI agent for Google Ads.
Frequently asked questions
- Can the agent manage my Google Ads manager account (MCC)?
- Yes — it connects at the manager-account level and can fan one goal out across selected sub-accounts, with a dry-run preview before any write applies.
- Does it create or change campaigns automatically?
- By default it proposes the change and pauses for your approval first. If you turn on auto-approve for a task or schedule, ordinary changes apply on their own inside your spend caps and protected campaigns — and removing a campaign, ad group or ad still waits for a person.
- How does it decide what to optimize?
- You give it a plain-language goal; it reads the relevant GAQL reporting data, reasons over it, and proposes specific, explainable actions rather than a black-box recommendation.