An AI agent for Google Ads that runs inside the assistant you already use

What is an AI agent for Google Ads?

An AI agent for Google Ads is a program that holds two things at once: access to your advertising account through the Google Ads API, and a language model that can decide which of its available actions to take. You describe the outcome — “find spend that isn't converting”, “build a campaign for this landing page”, “stop us showing for job searches” — and it works out which API calls that implies, makes them, and reports back.

That is a genuine step past the previous generation of tools. A rules engine does what you configured it to do. A report tells you what happened. An agent reads the account as it is today, decides what is worth doing, and can do it.

It is also why the boundaries matter more than the intelligence. The interesting question about any agent is not how clever it is, but what it is allowed to touch.

How is an AI agent different from Smart Bidding and Google's recommendations?

Google already ships automation, and it is good. It is worth being precise about what an agent adds rather than pretending the built-in tools do nothing.

The honest summary: Smart Bidding handles the auction, and an agent handles the account around it. They are not competitors, and an agent that tells you to switch off Smart Bidding is usually selling something.

What can an AI agent actually do to a Google Ads account?

“Manages your campaigns” is not a specification. Concretely, through the Google Ads API, an agent can:

• Read everything you can read— campaigns, ad groups, keywords, search terms, assets, conversions, budgets, change history — with a query language rather than a report builder, so “every term over £50 with no conversion in 90 days” is one question rather than an export and a spreadsheet.
• Add negative keywords, at the ad group, campaign or list level. This is the single most common outcome of an honest audit.
• Create and update campaigns and ad groups, including Performance Max campaigns and their asset groups.
• Write and publish responsive search ads, and pause the ones that are not earning their impressions.
• Adjust targeting — geography, ad schedule, device bid adjustments.
• Build assets — sitelinks, callouts, structured snippets, calls, prices, promotions, lead forms, images and video — and link them where they belong.

The full list of what AdCopilot exposes, tool by tool, is on the MCP server page.

What an AI agent should never be allowed to do

Delete things. Everything else in an ads account is reversible: a paused campaign resumes, a bid adjustment goes back, a negative keyword can be removed. Deletion is the one action a conversation cannot take back, and it is the one place where a misunderstood instruction turns into a bad afternoon.

AdCopilot removes the four destructive tools from the hosted connector entirely, rather than putting them behind a confirmation. A tool that is not in the list cannot be called by a confused model, a badly-worded prompt or a prompt injected into a page the agent happened to read.

Two kinds of agent, and why the difference matters

Products in this category divide fairly cleanly, and they suit different people.

The platform agent

A separate application you log into, with its own account, its own model, its own interface and usually its own dashboard. It runs on a schedule and emails you what it did. This is most of the market, and it suits someone who wants the whole thing handled and does not want to be involved day to day.

The connector agent

No new application. The connector plugs your ads account into the assistant you already use, and the reasoning happens there, on your subscription. You ask in the same window where you already write briefs and draft copy. There is no second dashboard to check, and nothing to learn beyond the connection itself.

AdCopilot is the second kind. The trade is straightforward: you need an AI assistant you already pay for, and in exchange the work happens where you already are, in a tool you already trust, with a model you chose. If you would rather not bring your own assistant, included credits are on our roadmap.

What to check before you grant one access

1. Whose Google login does it use? It should be yours, through Google's own sign-in, so it can reach exactly what you can reach and you can withdraw it from your Google account page. If a vendor asks for your password, stop.
2. Can it delete? See above.
3. Can you scope it to specific accounts? An agency connecting a manager account is handing over every client under it unless the connector supports an allow-list.
4. Is there a record? You want to be able to answer “what did it do on Tuesday” without reconstructing it from Google's change history.
5. What happens to your data? Ad data should not be retained and should never be training material.
6. How does a team share it? One shared login is a bad answer — see how per-person access works.

Our answers to all six are on the security page, in the same order.

What to ask it first

A good first question is one you already know the answer to, because that is how you calibrate trust. After that, the questions that tend to pay for themselves:

• “Which search terms spent money last month without a single conversion?”
• “Which ad groups have only one ad, and which have none serving?”
• “Where is budget capped while the campaign still has impression share to win?”
• “Which keywords are we bidding on that our landing page doesn't mention?”
• “Show me every change made in this account in the last week, and by whom.”

Read-only mode answers all of those without being able to touch anything, which is why the pilot starts there.

Frequently asked questions