Build your own AI advertising agents, or use a governed platform?
A capable developer can connect a model to an ad account in a day. What takes months is everything around it: access, limits, approvals, a record, and keeping up with the platforms. This comparison sets out what each path really asks of you, so you can choose with open eyes. It names no product: we compare two approaches, not vendors.
What each path asks of you.
| Building your own agents | Using a governed platform | |
|---|---|---|
| API access | Yours to obtain: for Google Ads, a Cloud project and an access level, with a daily limit of operations until Standard | Held by the publisher; you authorise the connection to your accounts |
| Ability to make changes | Google's official MCP server is read-only in its current release; changes mean building or adopting other tools | Depends on the product: ask for the exact list of change types |
| Confirmation by a person | Recommended by the MCP specification, not enforced by it: it depends on the application you use or write | Should be part of the product; check whether an approval is tied to the exact change |
| Limits on amounts | To be written in code by you; an instruction in a prompt is not a limit | Set by the publisher; ask what they are and whether you can adjust them |
| A record of who decided | To be built: the platform's history will show “Google Ads API” or a tool name, not the person | Should be provided; ask how long it is kept and whether you can export it |
| Keeping up | Yours: API versions, policy changes such as the developer token sunset of September 2026 | The publisher's; you depend on its pace |
| Freedom | Complete: your methods, your models, your data flows | Bounded by what the product covers |
Statements about Google Ads and about the Model Context Protocol come from their documentation, linked at the foot of the page and read on 12 October 2026. The right-hand column describes what to check in any product, not what a given product does.
When each path makes sense.
Building makes sense if…
You have developers who will stay on the subject; your methods are a real advantage you do not want in someone else's product; you start with reading and analysis, where mistakes cost nothing; and you accept that the controls are a project in themselves.
A platform makes sense if…
Your job is advertising, not software; several people or clients are involved and you need to show who decided what; you want changes prepared and approved, not only analysed; and the product covers the campaign types that matter to you.
The two are not exclusive
A common arrangement: your own read-only assistant for exploration, and a governed path for anything that changes an account. The line to hold is that nothing spends money without the controls.
What not to decide on
A demo. Any model can produce a convincing paragraph about a campaign. Ask instead what happens when it is wrong: what stops the change, who sees it, and how you would find out.
Eight questions to ask either way.
| Question | A weak answer | A solid answer |
|---|---|---|
| Which accounts can it reach? | “Whatever the login can see” | A named list, assigned by a person |
| Which changes can it make? | “Anything the API allows” | A short list of types; everything else refused |
| Where do the figures come from? | “The model reads the account” | Computed by code from stored rows, with the time of reading |
| Who approves? | “The user clicks OK” | A named role, on the exact before and after |
| What are the limits? | “It's told to be careful” | Caps enforced in code, with their values |
| What if the account changed meanwhile? | Not considered | The current state is read again before applying |
| What is recorded? | “The chat history” | Each change with its reason, its checks and its approver |
| How do we stop it? | “We'd revoke the key” | One known action, by a named person |
We are a party to this comparison. Here is our answer to the eight questions.
Plireo is the second path. An account is read only once an approver has assigned it to an advertiser. Four types of change are prepared, on Google Ads Search campaigns only. Figures are computed by code. A person with the approver role approves the exact before and after, and a budget change is capped at 30% per change. The account's current state is read again when a change is prepared. Each step is recorded.
And its limits: execution from Plireo is not enabled, so today you apply an approved change yourself; no change is prepared on Meta; by default an approver may approve their own change. The status of each capability is on the capabilities page.
Related pages
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Paid plans open once the Google Ads, Meta, GA4 and GTM integrations are operationally validated.
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