Point any AI host that speaks MCP (Claude Desktop, Claude Code, Cursor, and more) at mcp.adtao.io and your agent can read your Google Ads reports, find the problems buried in them, and, once you approve, make the fix and check what it did. It works for a single account or a whole manager account (MCC), across Search, Shopping and Performance Max, in whatever market and spend band you run.
The difference from an AI that only passes your own reports through: before it tells you to block a search term, AdTAO checks that term against results from accounts like yours, so you will not negate a keyword that earns money for advertisers in your category. That check needs data no single-account login can reach.
In one line
Your agent reads your Google Ads reports and answers in your own metrics, runs hundreds of issue checks on every campaign every time so nothing is forgotten, and, before you block a search term, checks it against results from accounts like yours so you do not negate a keyword that still earns money. Every change waits for your approval.
Only possible across accounts
Building a negative keyword list from your own search terms report is the easy part, and a good AI setup does it. The risk is the term that has never converted in your account only because your sample is small, while it converts steadily for advertisers in your category. Block it and you cut off spend that was about to pay back.
Before AdTAO ever recommends a negative, it checks each proposed term against results from accounts like yours and warns you off the ones that earn elsewhere. It also reads the negative keyword lists you already have and skips duplicates, and checks against the keywords you are actively bidding on so a new negative does not clash with them. An AI with access to one account cannot make any of those checks, because the evidence lives outside your account.
What that is worth: money protected. A single wrongly blocked converting term can cost you the conversions it would have brought for as long as the negative stands. You can see the finished list before it goes live and check every term against your own search terms report, filtered to zero conversions, in the Google Ads UI.
Runs on every campaign, every time
Every run checks your account against hundreds of known issue patterns, kept up to date across the network of connected accounts. A hit might flag wasted spend, but it might also flag a healthy state, a change still settling, or a prerequisite to handle first (fix conversion tracking before you touch bids). Each one carries a severity, the wasted spend at stake where we can put a number on it, and a next step drawn from how accounts like yours resolved the same issue.
| Area | What it catches |
|---|---|
| Measurement & trust | Conversion tracking drift after a tag change; goals that no longer match what is firing |
| Structure & scale | Manager and account hierarchy out of line; campaigns that should be split or merged |
| Bidding & learning | Smart Bidding still in its learning period; Target CPA or Target ROAS set against too little conversion volume |
| Spend & efficiency | Budget pacing off against actual delivery; spend piling into low-intent search terms |
| Competitive & query shape | Query themes bleeding budget; placements with poor ROI known from other accounts |
What that is worth: the same checks run on every campaign on every pass, not just the ones someone remembered to open. The checks also read direction over time, so a recommendation respects whether the account is steadying, slipping or recovering, not just what last week’s export showed. You act on each hit in the Google Ads UI, usually within the hour.
Before-and-after from real changes
When you propose a change, AdTAO draws on the real before-and-after results of the same change in accounts in a similar spot, not on model guesswork. If there is not enough history for a reliable read, it tells you there is not enough data instead of returning a number you cannot trust. You can check the outcome yourself in your change history after the change runs.
Already using an AI with a lot of report tools?
An AI that passes your own reports to the model turns your agent into a fast report writer, and on a plain read it will do a good job. That is the expected result, not a shortcoming. AdTAO is the decision layer underneath: the results from accounts like yours, the issue checks on every campaign, and the before-and-after from real changes. None of that can be assembled from a single account’s login, however many report tools sit in front of it.
Section 01
List every connected Google Ads account with its headline numbers: spend, conversions, CPA and ROAS across all of them, or 12-week trends and month-over-month change for any one. Answers from your own reports, not a guess.
Ask "how is my CPA trending?" or "which campaigns are wasting budget?" and the answer is read from your account's real rows: spend, clicks, conversions, CPC, CPA and ROAS, by campaign and by search term.
Every campaign is checked against hundreds of known issue patterns on every run: conversion tracking drift, Smart Bidding still in its learning period, budget pacing off, spend leaking to low-intent search terms. Each hit carries severity and, where we can put a number on it, the wasted spend at stake.
See who is over, who is under, and who is on track across the whole account list, so no campaign silently burns its budget or leaves it on the table.
Every change waits in an approval queue before anything happens. Review the pending list, approve or reject one at a time or in bulk, and only the approved change runs. The agent never touches your account without your sign-off.
Where your accounts sit under a shared manager account (MCC), an approved exclusion can be applied once at the top and inherited by every account below. One approval, enforced everywhere, instead of the same edit repeated by hand.
Pull competing ad copy, identify the top advertisers bidding against you, and find keyword gaps and opportunities drawn from results across accounts in your category.
After a change runs, AdTAO measures the outcome from your own numbers, so next week's read includes what last week's change did to your CPA and ROAS, not just the raw report.
Section 02
Sixteen tools in three groups: read your account, change your account (always behind your approval), and keep the session going. Tool names stay stable and nothing is ever removed without notice in the changelog. The exact tool identifiers for your agent are published in the machine layer of this page and in the developer docs.
pull your reports and reason over them
propose and run changes, always behind your approval
keep the session and feedback flowing
Section 03
We state the limits as plainly as the features.
Every change is written to an approval queue first and waits there until you approve it. This is the design, not a setting you can switch off.
For example, a Performance Max campaign cannot have individual networks (Display, YouTube, Discover) turned off through the API, so AdTAO will not pretend it can. It surfaces the real controls you do have (account- and manager-level placement, URL and brand exclusions) and labels clearly what the API will not let anyone do.
When an account has not finished syncing, or there is not enough data to answer with confidence, it tells you there is not enough data instead of guessing at a figure.
Your own Google Ads reports: spend, clicks, conversions, conversion value, CPC, CPA and ROAS by campaign, ad group and search term, plus your change history and your existing negative keyword lists. It answers questions like "how is my CPA trending?" or "which campaigns are wasting budget?" from those rows, not from a guess.
No. Every change is written to an approval queue first and nothing happens until you approve it. You review the pending list, approve or reject one at a time or in bulk, and only then does the approved change run. You can check the result afterwards in your change history in the Google Ads UI.
An AI with your account login can read your own reports and reason over them. That is the expected baseline and a good AI setup gets it right. AdTAO adds what a single-account login cannot see: before it suggests a negative keyword, it checks the term against results from accounts like yours, so it will not have you block a term that earns money for advertisers in your category. That check is not possible with access to one account.
It tells you there is not enough data, instead of inventing a number. If an account has not finished syncing, or there are too few similar accounts to give a reliable read, it says so and points you to the report you can check yourself.
Where your accounts sit under one manager account (MCC), an approved exclusion can be applied once at the manager level and inherited by every account beneath it. One approval, enforced everywhere, instead of repeating the same change by hand in each account.
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