Ad automation · AI agent
AI ads manager: an AI advertising agent for PPC teams
The Vexio AI advertising agent is an AI ads manager for PPC teams. You ask in plain language, it plans the steps, calls ad-platform tools through MCP and returns proposed changes for you to approve. Separately, Vexio does end-to-end advertising work on Amazon, Walmart, Google, Meta, TikTok and Shopify as a service.
By The Vexio team Updated
- 01Prompt"Which campaigns overspent this week? Pause the worst two and draft new headlines."
- 02Agent plansRead spend by campaign; Compare spend with budgets; Pause the worst two, draft headlines
- 03Tool calls (MCP)get_campaign_spend, list_budgets, get_product_feed, draft_headlines
- 04Result summary2 campaigns are over budget this week. Nothing was changed: waiting for your approval.
Tool calls reach ad platforms and data sources
- Amazon Ads
- Walmart Connect
- Google Ads
- Meta Ads
- TikTok Ads
- Shopify Ads
Illustration of the flow from prompt to tools to platforms.
How AI PPC management works: from a sentence to a reviewed change.
An AI agent differs from a chatbot in the way that matters here: it acts. It breaks a goal into steps, calls tools and checks the results instead of only answering.
- 01
You write the request
In plain language, for example: review these campaigns, prepare a budget change, explain last week's drop in conversions. No query language, no export.
- 02
The agent plans
It breaks the request into steps and decides which tools each step needs. The plan is shown, so you can see what it intends to do before it does it.
- 03
Tools run through MCP
Each platform action is an MCP tool with a name, inputs and permissions. The agent calls the tools to read performance data and to draft changes.
- 04
The agent checks its work
It compares the results with your request, retries a failed call where that is safe, and stops to ask when it is not sure.
- 05
You review and approve
Changes come back as a proposal. Anything that would change a live account waits for your approval.
- 06
The result is logged
Each request, tool call and outcome is recorded, so you can explain a change afterwards.
An AI marketing agent that is useful because it is limited.
An agent that can do anything is one you cannot trust with an ad account. Four principles shape the Vexio agent.
-
Scope
A narrow set of tools
The agent can only do what its tools allow. Adding a capability means adding a tool, and each tool can be reviewed on its own.
-
Control
Approval before publishing
The agent proposes. A person approves anything that changes a live account.
-
Traceability
A record of every call
You can see what was asked, which tools the agent called and what came back.
-
Portability
MCP, not a private protocol
Tools are exposed over the open Model Context Protocol, so they are not locked to one agent or one AI model.
Where the AI ads agent fits.
The agent is one of several on the AI agents hub. It works alongside the campaign builder, which starts from a file, and the advertising data pipelines that give an agent clean data to work from. Vexio also delivers end-to-end work on Amazon Ads, Walmart Connect, Google Ads, Meta Ads, TikTok Ads, Shopify Ads; the platforms we work on page shows what that covers.
If you want an agent for your own tools and workflow rather than for advertising, that is a service we deliver: see AI agent development.
Tool integration follows the Model Context Protocol specification. New to MCP? Read what an MCP server is and how MCP differs from a REST API.
Questions on the AI agent.
An AI ads manager is software that helps run advertising accounts using an AI model. The Vexio AI advertising agent is built for advertising teams. You describe a task in plain language, such as reviewing campaigns or preparing a change. The agent plans the steps, uses tools through MCP to read data and draft changes, and presents the result for review.
A chatbot answers a message. An AI agent pursues a goal: it breaks the goal into steps, calls tools such as an ad platform API, checks the results and continues until the work is done or it needs to ask you. For definitions, see the [glossary](/glossary/#ai-agent).
It is aimed at the work behind AI PPC management: reading performance, drafting changes and waiting for approval. It uses MCP, the Model Context Protocol, an open protocol for connecting AI applications to tools. Each action is an MCP tool, so one can be added, restricted or removed without rewriting the agent. See what an MCP server is and MCP server development.
No. The agent is designed to propose changes and wait for approval before anything is published, and every request, tool call and outcome is logged. Which actions need approval, and which limits apply, are agreed with you and shown in the demo.
It is built to take over repetitive work, such as pulling performance, spotting changes and drafting edits, while a person decides and approves. It does not set strategy or budgets on its own. For ACOS and TACOS terms an agent reports on, see ACOS vs TACOS.
Vexio does end-to-end work on Amazon Ads, Walmart Connect, Google Ads, Meta Ads, TikTok Ads and Shopify as a service, described on the platforms page. For the agent itself, tell us your platform on the demo form and we will say what the agent can do there.
Yes. That is the custom AI agent development service: an agent for your tools, data and approval rules, built and deployed for you. The first step is a scoping conversation about the job, the tools and who approves the result.
- Campaign builder
Bulk campaign upload with validation.
- Advertising data pipelines (ETL)
The data an agent works from.
- MCP server development
How agents reach tools.
- AI agents hub
Every agent Vexio builds.
- Custom AI agent development
An agent built for your workflow.
- ACOS vs TACOS
Two metrics a PPC agent reports on.
Book an AI ads manager demo.
We walk through how the agent plans, calls tools and asks for approval. Tell us which platforms and tasks matter to you and we reply by email to set a time.
- hello@vexio.ai
- Phone
- +1 778 896 4353
- Message us
- Web
- vexio.ai