AI agents for Google Ads · For agencies
Put AI workers to work in Google Ads.
From campaign brief to a reviewed build, give your AI worker the right client Context, approved access and a clear approval process.
Create your trial, then install on your company-controlled Mac. Compare plans.
- Real campaign builds
- Human approval
- Client-specific access
A real Google Ads build. Human approval first.
See the Ellātu campaign build in Google Ads: an AI worker carries out the approved work, with the campaign kept PAUSED.
- An approved campaign brief
- Real Google Ads campaign objects
- A PAUSED result for human review
Create your trial, then install on your company-controlled Mac. Set up your first workspace.
1:24 · Ellātu Google Ads build · No form required
Demo brief and assumptions. Real campaign execution, configured PAUSED. No delivery or performance claim.
Read the video transcript
This campaign exists in Google Ads. An AI worker built it, after human approval. It starts with a client brief, inside the right workspace, with the saved Context that makes the work specific to that client. The brief becomes research, a campaign plan, ten keywords, a negative list and ad copy. Before anything goes to the client, the Account Manager adds commercial judgment. Two decisions became standing rules, saved in the Context. The client approves the scope. Only then does the build start. The worker creates the approved structure in the connected demo account: campaign, ad groups, a responsive search ad, keywords, the negative list. Everything stays paused. A read-back through the API verifies the objects exist. The completion report reflects what was actually created, nothing more. Put an AI worker on your next client workflow. Start your 14-day Outloop trial.
Download English captionsFrom request to result
A campaign job, carried through.
- 01 / PREPARE
Start with the client.
Resolve the brief to the right workspace. Use saved Context and approved references to research and plan the launch.
- 02 / REVIEW
Add human judgment.
Your team reviews the package. The client approves the meaningful changes before the worker builds.
- 03 / VERIFY
Check the actual result.
Create the approved campaign objects, then read them back. The demo build stays PAUSED.
More than a campaign recommendation.
A package you can review.
Campaign structure, keyword groups, negative keywords and responsive search ad copy. Clear assumptions and scope before execution.
A build you can verify.
Campaign and ad-group objects in Google Ads, followed by saved API read-back. No claim of delivery, platform approval or performance lift.
Your agency. Separate clients.
The right account is part of the setup.
Each workspace is pinned to its approved Google Ads customer account under your MCC. A request naming a different customer is refused before it reaches Google.
See the separate allow-and-deny walkthrough →After the lead arrives
Close the loop after the lead arrives.
An AI worker should not stop at reporting clicks and cost per lead. With approved access, it can take the outcome your team already records — qualified, booked, won — and send the matching offline conversion back to the correct client’s Google Ads account through Google’s Data Manager API.
Your workflow defines which outcome counts. Outloop keeps each client’s conversion account and conversion actions separate and refuses anything else before Google. Google decides how the signal is used; a secondary conversion action measures without changing bidding.
Set up offline conversions →Reporting, API access and approval boundaries
AI agent Google Ads automation also includes account-scoped reporting with GAQL, search-term review and proposed changes. Those capabilities are separate from the launch demonstrated above. The worker performs the work; Outloop is not an autonomous bid manager.
Reads and changes use the workspace's pinned account and redacted audit path. Raw credentials remain outside the agent's context. Destructive actions remain subject to workspace policy.
How workspace-to-resource binding works →See the client work behind the workflow.
A website rebuild. A missing conversion step. A team directing the work. Adam walks through one real client project with an AI worker and Outloop.
Watch the founder case study
Reported timings; no measured advertising uplift.
Built by an agency operator
I'm Adam Argaman, founder of Outloop and CEO of a digital marketing agency.
After 15+ years across marketing, creative, data and systems—and 7+ years running client delivery—I built Outloop around the work agencies actually do.
The model needs a working environment: client Context, approved systems and clear human approval boundaries.
Before you start
Start with one client workflow
Put your first AI worker to work.
Create your trial. Download the Mac app. Set up your first workspace.
Want help mapping a workflow? Request an AI Workflow Review.
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