What is Agentic Buying?
Agentic buying is the advertiser-side practice of using AI buying agents to discover media, evaluate options and request or set up deals with sellers, while people define the brief, approve spend and own the results.
Also known as: agentic media buying, AI-assisted media buying
How it works
Agentic buying changes the front end of media buying: the research, comparison and setup work that happens before an ad is served. A typical workflow has four stages.
- Brief. A planner sets objectives, audiences, markets, budget, flight dates, formats and rules such as brand safety requirements or preferred deal types.
- Discovery. A buyer agent queries the sellers it is authorized to use, usually through their seller agents, to find matching inventory. This is inventory discovery done by machine.
- Evaluation and approval. The agent compares options and proposes a plan. A person reviews it, edits it and approves what goes ahead.
- Deal setup and activation. The agent requests deals, and the resulting Deal IDs are activated in the buyer's existing platforms, often as private marketplace or curated deals.
After launch, the same approach can support check-ins: asking sellers about availability, comparing delivery against plan and suggesting changes for a person to approve.
Why it matters
For advertisers and agencies, the appeal is time. Building a media plan often means many emails, spreadsheets and calls to understand what is available. Agentic buying can compress that into structured queries and a reviewable shortlist.
It also widens what buyers can consider. When sellers describe inventory in a machine-readable way, niche publishers and specialist channels become as easy to search as large ones, which can help diversify a plan.
The risks are practical ones. An agent working from poor data will produce poor plans. Unclear approval rules can lead to unwanted commitments. And agentic buying does not remove the need for supply chain transparency checks, measurement and human judgement about context and creative fit.
Example
Illustrative example. A mid-size consumer electronics brand plans a product launch across CTV and web video in the UK. Its agency sets up a brief and lets a buyer agent search authorized sellers. The agent returns a mix of programmatic guaranteed and PMP options with pricing and availability. The planner approves a short list, the agent requests the deals, and the agency's trader activates the Deal IDs. The brand's team reviews performance weekly and asks the agent to look for extra video supply when one deal under-delivers.
IncrementX perspective
Agentic Buying is IncrementX's name for the advertiser-side approach to the media it represents. Buying agents work with IncrementX Seller Agent to discover represented inventory and initiate deal creation, and this discovery and deal creation is available today for authorized agents, by request.
Wider agent-to-agent buying workflows are being built with partners. They are future-facing and should not be read as a finished integration. Advertisers can also explore the represented ecosystem through the Inventory Marketplace via the IncrementX team or curated deals.