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Acquire · Agent service

Ads AI Agent

Increase operating frequency while keeping material actions governed

The Agent monitors accounts, Feeds, products, orders, and anomalies, then explains changes and prepares recommendations, simulations, or actions. It handles frequent work; people retain goals, risk, and consequential approval.

How it is delivered

Starts with read-only monitoring and reporting, then expands by risk. Platforms, accounts, permissions, and actions are configured per project.

Who this is for

Teams whose account, product, or campaign volume exceeds manual review capacity but still require controlled execution.

Decision this page supports

Decide which work belongs with an Agent, which decisions remain human, and how actions stay reviewable.

Questions covered

  • Ads AI Agent
  • Google Ads Agent
  • paid media automation
  • PMax monitoring agent
  • human-in-the-loop ads

What we own

  • Monitor advertising, Feed, product, order, and data-quality signals.
  • Explain anomalies and opportunities; generate recommendations, simulations, and reports.
  • Route actions to pre-authorization, human approval, or dual confirmation by risk.
  • Record inputs, evidence, approval, execution, stop, and recovery.

What you receive

  • A client-specific Ads AI Agent.
  • Diagnosis, alerts, recommendations, and Agent BI.
  • Human-in-the-loop rules and approvals.
  • Action log, limits, stop conditions, and recovery rules.

What we need from you

  • Advertising and data APIs or agreed exports.
  • Business goals, limits, prohibited actions, and approvers.
  • Notification channels, run frequency, and action allowlist.
  • Sandbox, test account, or controlled release conditions.

How completion is judged

  • Agreed tasks run at the defined frequency.
  • Material conclusions are traceable to data and version.
  • Unauthorized, duplicate, or anomalous actions are blocked or alerted.
  • Production actions follow approval and leave an audit record.

Pricing

One-Time Implementation Fee + Monthly Platform and Service Fee

Shared professional scope

All five advertising services use the same twelve capability modules

The services differ by operating responsibility and delivery model. They do not rebuild five separate data and product systems. Global storefronts share data sources, metric definitions, and the review method, while local goals, products, channels, budgets, and approval rules are configured market by market.

Data & measurement

How to read performance
  • Advertising measurement & operating attribution

    Review platform, site, order, refund, profit, and bounded attribution evidence together.

  • Advertising operating analysis & Agent BI

    Explain pressure across platform, site, order, product, and customer layers, then record actions and review outcomes.

Product operations

What to advertise
  • Global Shopping Feed consistency

    Keep product facts aligned across storefronts, markets, and platforms.

  • Product operating labels

    Bring margin, inventory, price bands, lifecycle, and performance into media decisions.

  • Product pools & economics

    Identify products to scale, observe, repair, or exit.

Media growth

How to operate media
  • Search operations

    Manage intent, keywords, queries, negatives, and landing pages.

  • Shopping operations

    Manage eligibility, product groups, price, inventory, labels, and traffic.

  • Performance Max operations

    Manage goals, product scope, assets, signals, budget pressure, and experiments.

  • Audiences & first-party activation

    Use customer groups for acquisition, suppression, remarketing, and repeat value.

  • Budgets, bidding & experiments

    Give every scale decision a hypothesis, guardrail, and review window.

Execution & governance

Who acts and how risk is controlled
  • Ads AI Agent & human-in-the-loop

    Agents handle frequent work while people retain strategy and consequential approval.

  • Platform integration & system co-build

    Connect platforms, internal systems, approvals, and production actions per project.

Two priority modules

Shopping Feed and product labels make large catalogs operable

Global Shopping Feed consistency (industry-leading)

Covers product sources, market rules, primary and supplemental Feeds, incremental updates, quality checks, and platform feedback. Industry-leading refers to the integrated scope across Feed, price, inventory, profit, fitment, labels, and advertising outcomes—not a market ranking or performance guarantee.

Product operating labels (industry-leading)

Turn price bands, margin, inventory, lifecycle, and historical performance into continuously updated product groups used in pools, reports, campaigns, and experiments. feed_label identifies data-source scope; custom_label_0–4 are product-level operating labels.

Search, Shopping, and Performance Max have different jobs

Search captures explicit demand, Shopping operates product traffic, and Performance Max expands effective coverage. They share product, demand, profit, and order evidence but should not be managed as one undifferentiated channel.

Decide what to advertise, how to run it, and whether it pays

Product and media priority decides what to advertise. The media plan and experiment record explains how. Advertising results and customer journey analysis show whether the investment is worth continuing. When CAC rises, review demand and competition, budgets and bids, search terms and audiences, creative, Feed eligibility, product economics, site and payment, then measurement and change history. Platform CPA is not new-customer CAC, and ROAS is not profit; the decision also needs valid orders, refunds, inventory, and contribution profit.

Human-in-the-loop

Agents handle frequent checks; people approve consequential changes

Agents can monitor, explain, simulate, recommend, and report. Material changes to budgets, structure, audiences, or product scope move through risk-based human approval, with action logs, stop conditions, and recovery paths.

  1. 01

    Monitor

  2. 02

    Explain

  3. 03

    Prepare recommendation or simulation

  4. 04

    Route by risk

  5. 05

    Approve, execute, and log

  6. 06

    Review and recover

Delivery boundary

Every module is sellable; the delivery shape is made explicit

Standard configuration

Configure existing data, methods, reports, Agents, and available connections.

Project implementation

Adapt or build against accounts, platforms, product rules, APIs, and production actions.

Joint co-building

Build client-specific capability for multiple markets, complex organizations, and internal systems.

Boundaries

  • Not every advertising task becomes unattended automation.
  • No budget, structure, audience, or product-scope change without authorization.
  • New platforms and actions may require project implementation.

Common questions

Will the Agent automatically change our account?

It starts with read-only monitoring and recommendations. Only clearly pre-authorized low-risk actions can run automatically; material actions require approval.

What does human-in-the-loop mean here?

The Agent performs frequent analysis and prepares actions. People retain goals, brand, profit, risk, and consequential approval, with a full record.

Does it replace a media buyer?

It reduces repetitive work and increases review frequency, but strategy, exceptions, coordination, and material judgment remain human responsibilities.

Start with one frequent, repeatable, testable job

Choose one platform, account group, and task, then define data, frequency, approval, and stop conditions.

Discuss an Ads AI Agent

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