What is the best AI agent for DV360?

Start by filtering on genuine support — most AI ad tools are built for Search and social and don't reach DV360 meaningfully. Among those that do, judge on hierarchy literacy (insertion orders and line items as distinct levels), Bid Manager reporting, native reach forecasting, and whether new line items are created as drafts rather than going live.

Why do so few AI ad tools support DV360?

The market is built around Search and social, where the buyer is often the marketer and volumes are high. DV360 has a different object model, an asynchronous reporting system, and a smaller, more specialist user base — so it's more work to support and reaches fewer customers.

Is it safe to let AI create DV360 line items?

Only with two controls: creation as a draft rather than live, and a human approval step showing the exact parameters first. Programmatic budgets are large and delivery starts fast, so a live line item created from an unreviewed plan can spend meaningfully before anyone notices.

Do I need a separate connection for DV360 and Google Ads?

Not necessarily — DV360, Google Ads and Campaign Manager 360 can share one Google authorization when a tool requests the right scopes together. Needing three separate setups adds failure points without adding capability.

Can an AI agent do reach and frequency planning?

If it uses DV360's native forecasting, yes. Be careful with tools that estimate reach from historical delivery instead — that's a materially different and less reliable number.

Buyer's guide

The best AI agent for DV360: what programmatic actually needs

TL;DR

The AI ad-tool market is overwhelmingly built for Google Search and Meta, which means most tools don't support DV360 in any real sense. Programmatic has a different object model, a different reporting system and a much larger blast radius per mistake. If you're evaluating an AI agent for Display & Video 360, the questions are narrow and specific: does it understand the advertiser → campaign → insertion order → line item hierarchy, can it pull Bid Manager reporting, does it do reach forecasting natively, and does it create new line items as drafts rather than live.

The short answer

Start by filtering hard on whether a tool touches DV360 at all — most "AI for advertising" products stop at Search and social. Of the ones that do, the question that matters most is what happens when it creates something: a new line item that goes live immediately is a fundamentally different product from one that lands as a draft for you to review.

Disclosure: we build Agent Planners, which supports DV360. Where the honest answer is "a trading desk is a better fit", this guide says so.

Why DV360 is a different problem from Search

	Google Ads	DV360
Object model	Campaign → ad group → keyword/ad	Advertiser → campaign → insertion order → line item, plus deals and audiences
Reporting	Query the API and get rows back	Bid Manager: request a report, wait for it to run, then retrieve it
Blast radius	A bad keyword bid wastes a modest amount	A bad line item can spend a large budget against the wrong inventory quickly
Planning	Keyword forecasting	Reach and frequency forecasting against inventory before you commit
Who operates it	Often the marketer directly	Usually a trading team or agency desk

That asynchronous reporting model is a good vendor test on its own — a tool that hasn't handled it usually reveals that quickly when you ask for a custom report.

The criteria

Hierarchy literacy. Can it navigate advertiser → campaign → insertion order → line item, or does it flatten everything into "campaigns" and lose the level where decisions are made?
Bid Manager reporting. Can it request, wait for and retrieve a custom report, or is it limited to whatever's already saved?
Native reach forecasting. Planning reach and frequency inside DV360 beats guessing from historical delivery.
Draft-first creation. New insertion orders and line items should arrive as drafts. Anything that creates live media placements from a model's plan is a category of risk you don't need.
Deals and audiences. Programmatic value lives in inventory and audience strategy, not just budget nudges.
One credential across the stack. DV360, Google Ads and CM360 share a Google login. A tool that needs three separate setups adds failure points.

Red flags

"Supports DV360" that means a CSV export. Ask specifically what it can read and what it can change.
Live creation with no draft state. The single highest-risk behaviour in this platform.
No spend magnitude check. Programmatic budgets are large; a misplaced zero is expensive faster than in Search.
Search-shaped recommendations. Advice about match types and Quality Score applied to programmatic is a sign the model wasn't grounded in DV360 at all.
No audit trail. Programmatic usually involves a client or an internal stakeholder who will eventually ask who changed a line item.

Where Agent Planners fits

Connects over the same Google OAuth login as Google Ads and CM360 — one authorization carries all three; see DV360.
Reads the full advertiser → campaign → insertion order → line item hierarchy, plus deals and audiences.
Pulls Bid Manager reporting and runs native reach and frequency forecasting.
Creates and updates insertion orders, line items, deals and audiences — new insertion orders and line items are created as DRAFT, and every write pauses for approval.
Budget and bid magnitude guardrails apply before a write reaches the API, and live state is re-validated immediately before it applies.

Where we're not the answer: if you need a full trading desk with inventory sourcing, brand-safety vendors and custom algorithm development, that's a different category. An agent is for the analysis, reporting and controlled change layer on top.

How to test a candidate in one session

1Ask it to describe the structure of one advertiser — if it can't name insertion orders and line items distinctly, stop here.
2Ask for a custom Bid Manager report it hasn't seen before, and watch whether it handles the request-and-wait cycle.
3Ask for a reach forecast for a hypothetical plan.
4Ask it to create a line item, and check whether the result is a draft and whether you saw the parameters before it was created.
5Ask what protects you from a 10× budget, and get a specific answer.

Frequently asked questions

What is the best AI agent for DV360?: Start by filtering on genuine support — most AI ad tools are built for Search and social and don't reach DV360 meaningfully. Among those that do, judge on hierarchy literacy (insertion orders and line items as distinct levels), Bid Manager reporting, native reach forecasting, and whether new line items are created as drafts rather than going live.
Why do so few AI ad tools support DV360?: The market is built around Search and social, where the buyer is often the marketer and volumes are high. DV360 has a different object model, an asynchronous reporting system, and a smaller, more specialist user base — so it's more work to support and reaches fewer customers.
Is it safe to let AI create DV360 line items?: Only with two controls: creation as a draft rather than live, and a human approval step showing the exact parameters first. Programmatic budgets are large and delivery starts fast, so a live line item created from an unreviewed plan can spend meaningfully before anyone notices.
Do I need a separate connection for DV360 and Google Ads?: Not necessarily — DV360, Google Ads and Campaign Manager 360 can share one Google authorization when a tool requests the right scopes together. Needing three separate setups adds failure points without adding capability.
Can an AI agent do reach and frequency planning?: If it uses DV360's native forecasting, yes. Be careful with tools that estimate reach from historical delivery instead — that's a materially different and less reliable number.