Agentic advertising is the use of AI agents that can search, evaluate and carry out defined tasks in media buying and selling, on behalf of a person or company. For retail media, it points to a future where a retailer's inventory is described clearly enough for an advertiser's agent to find it, compare it and start a deal, while people stay in charge of the rules. Some of this is possible today through tools such as IncrementX Seller Agent, and some of it is still being built across the industry.
This article explains the moving parts, what is available now, what is not yet, and what a retailer can do to prepare.
What is agentic advertising?
Agentic advertising describes advertising workflows where software agents act with a degree of independence. An agent is given a goal and some boundaries, such as a budget, an audience, a format or a list of acceptable sellers, and it carries out steps towards that goal. Those steps might include searching for inventory, reading its details, comparing options and initiating a deal.
The key word is "defined". Useful agents work inside limits that people set. They are not a replacement for planning, negotiation or brand policy.
Buyer agents and seller agents
Two roles matter most.
What does a buyer agent do?
A buyer agent works for the advertiser or agency. Given a brief, it can look for suitable inventory, check whether options match requirements such as geography, device or format, and move towards activation. It is the advertiser-side half of the conversation.
What does a seller agent do?
A seller agent works for the supply side. It makes inventory machine-accessible, meaning described and exposed in a structured way that an authorized buyer agent can query and act on. Instead of a buyer reading a media kit, the buyer's agent can ask for inventory that meets specific criteria and receive structured answers.
When both sides use agents, people sometimes call it agent-to-agent advertising. We explain the relationship in more detail in buyer agents and seller agents.
Where MCP fits
Agents need a reliable way to connect to the systems that hold data and actions. The Model Context Protocol, usually shortened to MCP, is one way of doing that. The project describes MCP as "an open-source standard for connecting AI applications to external systems", and compares it to a USB-C port for AI applications (modelcontextprotocol.io).
In advertising terms, an MCP-compatible interface means an AI buying tool that supports MCP can connect to a seller's interface in a standard way, rather than needing a custom integration for every seller. You can find a short definition in our glossary entry on MCP (Model Context Protocol).
What is available today, and what is future-facing?
It is easy for writing about agentic advertising to blur the line between what exists and what is planned. Here is that line for IncrementX, stated plainly.
| Available today through IncrementX Seller Agent | Future-facing, being built with partners |
|---|---|
| An MCP-compatible interface for authorized AI buying agents, with access by request | Wider agent-to-agent buying workflows across more of the buying process |
| Discovery of represented inventory by site or app, IAB category, geography, device and environment, ad format, ad size, inventory type, pricing, deal type and availability | Broader connections between buyer agents and seller agents beyond current supported paths |
| Evaluating and matching inventory to a buyer's requirements | |
| Initiating deal creation and receiving a Deal ID | |
| Activating that Deal ID through supported buying platforms |
Two points are worth stressing for retail readers. First, IncrementX Seller Agent covers inventory that IncrementX represents. Second, retail media is a new focus for IncrementX and there are no announced retail clients or integrations. So the table describes a capability that could apply to retail inventory where a retailer chooses IncrementX representation, not something already running for retailers.
Why this matters for retail media
Retail media inventory can be hard for buyers to evaluate at scale. It spans onsite placements, app screens, search results, and sometimes offsite and video extensions, each with its own context and rules. Many buyers outside a retailer's own suppliers simply do not know what is available.
Agentic discovery could change that in a few ways:
- Structured descriptions travel further. Inventory described by category, geography, format and deal type is easier for any buying tool to read.
- Long-tail inventory becomes findable. Specific category pages or regional placements that rarely reach a planner's shortlist could be surfaced when they match a brief.
- Deals can start faster. If an agent can move from discovery to a Deal ID within agreed rules, routine deal setup takes less back and forth.
Example (illustrative)
An agency's buyer agent is briefed to find contextual display and video inventory in pet care categories, in two countries, on mobile, using private marketplace deals within a price range. A seller agent representing several media owners returns matching options, including placements from a specialist pet retailer's site. The agent shortlists them, the agency's planner reviews and approves, and the agent initiates the deal and receives a Deal ID for activation in the agency's buying platform.
What should stay in human hands?
Analysis
This is our view, based on how media is bought and sold today. It is not a statement about any regulation or standard.
- Pricing rules and floors. The seller decides what it will accept.
- Who may buy. Authorization of buyer agents and the advertisers behind them.
- Brand and category restrictions. Retailers often have rules about competing brands and sensitive categories.
- Data use. Agents should not change what shopper data may be used for, which is governed by consent and law.
- Final approvals for spend above agreed limits.
How a retailer can prepare
A retailer does not need to build its own agent to benefit from agentic buying. Preparation is mostly about the quality of the inventory description.
- Keep a clean, consistent inventory taxonomy: placement names, categories, formats and sizes
- Decide which deal types you will offer, and on what terms
- Write down brand safety and competitive separation rules in a form that can be applied consistently
- Make sure availability and pricing data are kept current
- Choose who approves agent-initiated deals, and at what thresholds
The IncrementX view
IncrementX is a global media representation partner first. Agentic tools support representation; they do not replace it. Our Seller Agent makes represented inventory machine-accessible and discoverable to authorized buying agents, and our Agentic Buying page describes the advertiser-side approach, where buying agents work with Seller Agent. Discovery and deal creation work today; wider agent-to-agent workflows are future-facing.
For retailers, our retail media representation page explains how a representation partner can help bring retail media to market. Where a retailer chooses representation, part of that work can be describing its inventory clearly enough that both human planners and authorized buying agents can find it. For background, read what is a seller agent and our wider view on the future of media representation in agentic advertising.
The honest summary is that agentic advertising is early. The parts that work today are useful and specific. The larger vision depends on standards, partners and trust developing together, and retailers that keep their inventory well described will be ready whichever way it unfolds.