AI agents for Google Ads · for agencies

AI agents for Google Ads, with every client account kept separate.

One agency manager account. One workspace per client. The agent reaches the client it is working for — and a request aimed at any other client is refused before it reaches Google.

Your agent runtime does the Google Ads work. Outloop gives it approved API access to the right client's account under your MCC, without handing it the developer token or refresh token.

  • Your MCC, your developer token
  • One customer ID per workspace
  • Wrong client refused before Google

How the client boundary works

  1. 01 · CONNECT ONCE

    Your agency's MCC

    Your developer token, your OAuth app. Stored once, on your Mac.

  2. 02 · PIN PER CLIENT

    Client A workspace → customer ID A

    The agent working for Client A reaches Client A's account. The token never enters its context.

  3. 03 · REFUSE THE REST

    Customer ID B? Refused.

    RESOURCE_ID_NOT_ALLOWED — before the credential is used, so it never reaches Google.

Proven on real client accounts. For the allow-then-deny sequence without exposing a client, see the walkthrough (demo data).

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In short

AI agents for Google Ads are agents that do an agency's Google Ads work — reporting, search-term review, building and updating campaigns and ads — through the Google Ads API. Outloop gives them approved access to the right client account under the agency's manager account.

The agent runs in your own runtime. Outloop keeps the developer token and refresh token on your Mac, pins each client workspace to that client's customer ID, adds the credentials and manager-account header at request time, and refuses a request for any other client's customer ID before the credential is used. Reads, changes and asset uploads all go through that same pinned, audited path.

Why Google Ads is where multi-client agents get risky

An agency's Google Ads access usually runs through one manager account (MCC) that can reach every client. That is convenient for people and dangerous for an agent: one login, dozens of client accounts that spend real money, and nothing but the prompt deciding which one a request should touch. Hand the agent the developer token and refresh token as well, and they end up in its context, its project folder and every client's automation at once.

AI agent Google Ads automation: what runs through Outloop

The agent does the work. Outloop decides which client account it may do it on. Every Google Ads call — read or change — goes through the same pinned, audited path:

  • Account-scoped GAQL reads on the workspace's pinned customer ID Proven
  • Requests naming another client's customer ID refused before the credential is used Proven
  • Image and YouTube video assets created in a client account Proven
  • Changes to campaigns, ad groups, ads, budgets and status on the pinned account, audited Full Ads API
  • Developer token, client secret and refresh token kept on your Mac; headers added host-side How it works

The proven items ran through Outloop on real client accounts; we do not publish those accounts' IDs or data. The setup guide gives you the same allow-and-deny check to run on your own setup. Removals stay behind your workspace's destructive-actions setting.

What agencies run agents on in Google Ads

The jobs agencies point agents at, each running in the client's own workspace:

  • Pull a client's campaign and search-term data into the monthly report.
  • Review search terms and draft negative-keyword suggestions for a person to approve.
  • Check budgets and campaign status across clients and flag what needs attention.
  • Build or update campaigns, ad groups and ads, and upload image and video assets.
  • Prepare a change and hold it for the account owner's sign-off where your process wants a person.

In every case the agent works from the client's own workspace, so it can only reach that client's account.

Google Ads API or Google's Ads MCP server?

Google's Google Ads MCP server is read-only today, per Google, with the client account named in the prompt. Outloop works through the Google Ads API, with each workspace pinned to its client account. The sourced comparison lives in one place — API vs MCP in the setup guide.

Setup: your agency owns the access

Your agency brings its own Google Ads developer token, Google Cloud project and OAuth client. Outloop does not supply a shared token and cannot apply for, speed up or guarantee Google's access review. Connect the MCC once, then map each client workspace to its customer ID. Every step, with screenshots, is in Connect Google Ads API to Outloop.

Keep reading

Google Ads across many clients?

Let the agent do the Google Ads work — on the right client, every time.

Start the trial and pin your first client workspaces yourself, or bring one real Google Ads workflow and we will map where its access should live.

Frequently Asked Questions

AI agents for Google Ads — FAQ