Agentic Advertising Explained: A No-Jargon Guide for Brands and Publishers

You have probably heard the phrase 'agentic advertising' at a conference or been overwhelmed by LinkedIn posts tagged with #AgenticAdvertising. Maybe a colleague mentioned it and you nodded along, not quite sure what it meant. You are not alone.

This guide is written for marketing managers, media planners, digital directors, and publisher commercial leads who want a straight answer: what is agentic advertising, and what does it mean for the work I do every day?

What follows is a clear, honest explanation of how agetic advertising goes beyond programmatic and direct insertion orders, types of agents (and a short lowdown on how they emerged) and what it means for your role.

Table of Contents:

Programmatic and Direct IO Buys: How is Agentic Different?
- Both Programmatic and IO Buys Have Ceilings
- Agentic Advertising Goes Beyond Programmatic and IO Buys
Will Agentic Advertising Replace A Planner’s Thinking?
What Does an AI Agent Actually Do? And Is It The Same as LLM?
Agents in Advertising
- How Many Types of Advertising Agents Are There?
- Why Do We Need So Many Agents?
Buy, Sell, Create: How The Human Interacts with Agents
- Buyer Agents: The AI Agents for Briefing and Buying Media
- Seller Agents: Representing Publisher Inventory
- Creative Agents: A Tale of Two Roles
Start Here: What to Do Next

Programmatic and Direct IO Buys: How is Agentic Different?

Across the board, we see the media ecosystem becoming AI-driven:

• Agencies are adopting AI planners and automation tools
• Buyers now expect real-time access to inventory
• Manual workflows that have been plaguing the industry for decades are now becoming a competitive disadvantage, not just an inconvenience
• Most of all, we see the industry moving towards structured, machine-readable trading protocols

Agentic advertising is what happens when AI systems can plan, decide, and act across the advertising workflow without a human approving every single step.

Both Programmatic and IO Buys Have Ceilings

For most of advertising history, every step was human. A media planner called publishers, negotiated rates, sent insertion orders by fax, and waited for someone to manually serve the ad.

Programmatic advertising automated the transaction layer: real-time bidding (RTB) and the OpenRTB standard – formalised by IAB Tech Lab in 2010 – let machines buy impressions in milliseconds against predefined parameters.

Not every placement was made available programmatically – premium formats like desktop skins, DOOH, and high-impact takeovers still had to go through direct insertion order (IO) buys. The process took longer for both sides, but the exclusive arrangement allowed brands to secure the exact inventory their brief called for.

That being said, both models have their ceilings:

• Programmatic (SSP → auction → automated delivery) is fast and always-on for both sides. However, the very nature that makes programmatic efficient–CPM-based auctions–tends to undervalue premium inventory, which is why publishers still reserve their best placements for direct IO buys. This cuts both ways: programmatic may not offer the best-fit placement for advertisers: the placement that wins on value-for-money isn’t always the one that actually works for the advertiser.
• Direct sales or IO buys (RFP → proposal → insertion order) wins clearly on fit: placements that actually match the brief while protecting publisher margins. What it doesn’t do well is speed, as negotiations on RFPs and proposals can take days.

Agentic Advertising Goes Beyond Programmatic and IO Buys

Agentic advertising is designed to take what's best from both models: the speed and always-on automation of programmatic, and the fit IO buys delivers against the brief – without needing a human to bridge the two manually.

For advertisers: Brands and agencies get continuous access to both premium and programmatic inventory, evaluated against the same brief and criteria. Take premium inventory as one example: it was previously kept out of reach due to resource constraints — the inventory existed, but evaluating it meant working through RFPs one publisher at a time–a task for which few planners have the necessary resources. With agentic advertising, premium and programmatic inventory can now be assessed together against the same brief, rather than one being priced by auction and the other picked by hand. Most importantly, a far larger supply can now be evaluated – in real time.

For publishers: The biggest gains come in two ways. First, a wider pool of buyers — even outside a publisher's existing relationships as inventory is surfaced around the clock, across time zones, resulting in higher fill rates. Second, higher yield and transparency around premium and even non-digital formats, as these can now be negotiated directly by an AI agent, rather than being priced the same way as standard programmatic inventory.

Across the board, agentic advertising cuts the operational load that both models carry in their own way — faster turnaround on proposals and bookings than direct sales, freeing both planners and publisher sales teams to focus on strategy over manual tasks.

Will Agentic Advertising Replace A Planner’s Thinking?

No, not unless you allow it (which we do not recommend). Agentic advertising is the first attempt to augment – which means “to increase the value of something by adding to it” – the decision-making and judgment process that a human strategist and media buyer would normally do in their head, and most importantly, it extends the strategic thinking directly into action:

• "Is this the right audience for this campaign?"
• "Does this creative actually fit the brand and the moment?"
• "Should we shift the budget from this platform to that one?"
• "Is this placement worth the price, or should we negotiate?"

In operational terms, this means the AI agent doesn’t just recommend a plan, i.e. the thinking that you already do—it uses connected tools to execute tasks, log into platforms, and manage the workflow autonomously. Notice the emphasis on action taking.

What Does an AI Agent Actually Do? And Is It The Same as LLM?

If you’re fairly new to the world of AI agents, you may struggle to grasp the difference between an LLM, such as ChatGPT, Gemini or Claude, and an AI agent. Many modern AI products blend the two within their systems, further blurring the roles that an LLM and an AI agent each play.

• LLM: a model that responds to prompts by generating text or code.
• Agent: a system that uses an LLM plus tools, memory, planning, and action loops to complete tasks.

Think of the LLM as the “thinking engine”, and the agent is the “doer” built around it. An LLM cannot perform actions – such as transacting a media buy – unless it is connected to tools.

Agents in Advertising

Not every platform that calls itself "agentic" means the same thing. Some AI simply acts as a copilot inside a platform a human still drives; others let agents orchestrate across tools, but the trade still runs through one platform's own system. Knowing the difference matters because "agentic" has become a marketing label as much as a technical one — a platform can market itself as agentic while still running the same execution it always has underneath.

This guide focuses on what we call the “end-to-end agentic” model: agents that transact directly with each other, on behalf of a human, across the full advertising workflow.

In a typical week in the “pre-agentic” era, a human strategist typically spends hours chasing proposals from publishers, and manually comparing options. Mirroring this on the publisher side, a sales representative is equally tied up responding to these inquiries.

In advertising, an advertising agent – also used interchangeably with “AI agents” outside of the advertising world – might receive a brief from a media planner — "reach women aged 25–40 interested in skincare across Singapore and Hong Kong, $50,000 budget, three-week flight'. The agent then autonomously does all or most of the following:

1. Query publisher and platform agents to discover relevant inventory and audience packages
2. Compare options against the brief, budget, and brand guidelines
3. Draft a media plan and flag any trade-offs for human review
4. Brief a creative agent to produce ad variants tailored to different placements
5. Submit the plan for approval, then execute once a human has signed off
6. Monitor performance in-flight and make optimisation decisions within pre-approved parameters
7. Produce a campaign report in natural language

With AI agents processing a large amount of data in real-time – from inventory to audience packages to ad formats, steps 1 through 4 – which would’ve taken a human planner hours in the past – are now reduced to minutes. The human still maintains oversight, but only for the decisions that actually require human judgment, not for every operational step in between.

The operational upside extends to both buy and sell sides. “Pre-agentic” tasks are now offloaded to autonomous agents – freeing media planners from the drudgery of chasing proposals and comparing options, and relieving publishers' sales reps from manually responding to every inquiry.

How Many Types of Advertising Agents Are There?

A project management software company claims to have 3,258 agents working alongside 1,300 humans! Closer to home, IAB Tech Lab maintains an agent registry where there are 37 registered, active agents, while AgenticAdvertising.org has 58 agents on its registry. Both numbers are accurate as of July 2026.

While "agentic advertising" is now a widely used industry term, its precise meaning is still contested. That also means that taxonomies around advertising agents are still stabilising, and this could change at any time.

Five comment advertising agent roles, shared by Niki at the AAO Connect event in Snigapore in June 2026. (Credits: Niki Banerjee, Product Manager at Scope3)

At the time of writing, multiple frameworks around agentic advertising have emerged, defining the roles of agents. Across all frameworks, there is broad consensus on two core principal roles:

• Buyer/buying agents (buy/demand side) that act on behalf of a brand or agency; translate objectives, budgets, and brand standards into advertising decisions, and transact with sell-side agents.
• Sales/selling/seller agents (sell/supply side) that represent what media owners and publishers offer – inventory, pricing, terms; handle discovery, deal negotiation, proposal generation, and campaign activation.

Beyond the two principals, specialist agent types are converging, but industry bodies and vendors name and scope them differently:

• Creative agents: Generate and adapt ad assets across formats and specs
• Signals/audience agents: Discover and activate audience data and third-party segment
• Governance/compliance agents: enforce brand safety, policy, budget limits, and regulatory compliance
• Measurement/attribution agents: Monitor delivery, aggregate cross-publisher reporting, and close the optimisation loop
• Orchestrators/planning agents: Coordinate multi-agent workflows.

What we’ve observed is that the industry agrees on what specialists are needed, but may well need to resolve what each specialist type actually does.

Why Do We Need So Many Agents?

In agentic advertising, each of these roles is played by a specialised AI agent type, and each role has a defined function.

Think of a well-staffed media agency, or an in-house marketing team. There is a strategist — that's you (the only human in here!) — who owns the campaign brief and decides what success looks like. You also have a team of specialists – and these are the agents. There is a buyer who handles inventory selection and negotiations, a creative team that produces the assets, and lastly, a compliance or brand safety lead who makes sure every decision meets the brand's rules before anything goes live.

On the publisher side, the equivalent is a sales team — the people who package inventory, respond to briefs, and match what the publisher has to offer against what buyers are looking for. In a traditional setup, that means account managers working office hours, rate cards that can't capture every audience nuance, and a small team that can only be in so many conversations at once. The seller agent is the publisher's answer to that constraint.

Each role is a specialist. They do very different things — but they work from the same brief, communicate with each other, and the whole campaign only works because they coordinate. Remove one role, or have them operating in silos without a common brief, and the campaign falls apart regardless of how skilled each individual is.

Buy, Sell, Create: How The Human Interacts with Agents

Three agents — buyer, seller, and creative — form the AI infrastructure Adzymic is building to plan, create, and optimise omnichannel campaigns for some of the world's most recognised brands.

Buyer Agents: The AI Agents for Briefing and Buying Media

A buyer agent represents the advertiser or agency — but it starts with you, the human strategist. You define what success looks like: the target audience, the budget, the objectives, the markets, the channels, the placements or contexts to avoid. That brief still comes from you – the human, with your understanding of the surrounding nuance.

The buyer agent's job is to take it and execute, translating your intent into structured queries, going out to publisher and platform agents to discover what is available, evaluating the options against your requirements, and assembling a media plan for your review.

In this example, the human strategist inputs a natural language brief for Uniqlo, which is then translated into a machine-readable request. The Buyer Agent sends requests to seller agents – acting on behalf of publishers, platforms and media owners, and receives a catalogue of available products in return.

Crucially, the buyer agent does not just find the cheapest inventory that technically matches your targeting parameters. It reasons about fit — understanding that 'reach eco-conscious millennials in Singapore' means something different on a lifestyle publisher than on a news site, and that a premium placement on a trusted local brand might outperform a cheaper but less contextually relevant impression elsewhere.

What this means for the human strategist: AI agents handle the busywork of shopping and booking inventory, while the human focuses on what to buy and why, not how to execute it.

Seller Agents: Representing Publisher Inventory

A seller agent represents the publisher. Its job is to surface and describe the publisher's inventory — audiences, contexts, formats, packages — in a way that buyer agents can discover, evaluate, and act on. Think of it as a 24/7 sales representative that never sleeps, never misses a brief, and can instantly match available inventory to incoming requests with far more precision than a traditional rate card.

A regional lifestyle publisher in Kuala Lumpur, with a highly engaged, specific audience has always struggled to compete for premium campaigns because their sales team cannot be in every conversation. A seller agent levels that playing field: it can respond to any inbound brief, at any hour, with a precisely tailored inventory proposal.

What this means for publisher sales teams: the sales team's job doesn't disappear; it shifts from responding to every inbound to governing how the seller agent represents your inventory, and focusing human attention on the relationships that still require it.

Creative Agents: A Tale of Two Roles

Imagine you work at a print shop. A customer walks in wanting a roller banner for their next trade show. In our analogy, the customer represents the human strategist or the principal.

Just hours before that, a designer from the customer’s company has taken the brief: “we need something bold and on-brand, I’m guessing it will be 3-metre tall”. This is the creative agent on the buy side. The creative agent creates.

On the print shop’s production desk, the specifications go beyond “3-metre tall”. The print shop’s production team specifies: 1,500mm by 2,000mm. Minimum 300dpi. CMYK colour profile. Bleed on all sides." They check the artwork against those requirements, flag what doesn’t fit, and produce a proof before anything goes to print. The production team is the creative agent on the sell side: it doesn’t produce creative, but validates what to produce.

The In-House Designer: Creative Agent on The Buy Side

A creative agent, working alongside the buyer agent, handles the production of ad creatives. The buyer agent briefs the creative agent, passing along the campaign intent, the required formats for each placement, and the brand guidelines. Those guidelines are pulled automatically from a machine-readable brand file that the creative agent reads directly.

Given those inputs, the creative agent produces creative assets that are verified against the brief and the brand’s rules. If needed, the agent transforms these assets and converts/resizes them for different placements (e.g., a 300x250 → 728x90). The creative agent also checks that a creative meets a publisher’s specs before it goes live.

Adzymic’s AgenX creative agent is capable of generating on-brand, multi-format creative assets in minutes.

What it means for the (human) creative team: The human creative judgment still remains. Instead, the bottleneck of manually producing potentially hundreds of asset variants every time a campaign needs to run across multiple formats and markets – is removed.

The Production Desk: Creative Agent on The Sell Side

Just like the production desk at the print shop, a publisher’s creative agent validates creative assets before a campaign goes live.

The owner of a bus shelter may have requirements around the creative it accepts and activates: maximum file size of 10MB, with a frame rate of 30fps, and no flashing effects for road safety. That is how the creative agent on the publisher side operates.

What it means for publishers: Instead of sending spec sheets, the creative agent adds an additional layer of validation – and at the same time, offers instantaneous response to the buy side.

A real conversation at Adzymic, pre-campaign. The spec sheet for the DOOH placement was just a PDF, so the error was only flagged after the creative had already been submitted to the media owner. With creative agents, the publisher's agent communicates specs directly to the buy-side creative agent, ensuring compliance is built into the creative production process itself.

Start Here: What to Do Next

Just like how programmatic advertising has transformed the industry, agentic advertising is not a distant technology to observe from a safe distance. Where you go next depends on who you are.

If you are a publisher commercial lead: The Sales Agent for Publishers is the most immediate entry point. It gives your inventory a seller agent capability that can respond to buyer agents across the AdCP ecosystem — at any hour, with any brief — without scaling your sales headcount. Start at adzymic.ai/agenx/sales-agent-for-publishers. A deeper guide to how publishers are using agentic advertising is forthcoming in this content series.

If you are a media planner, digital director, or agency lead: The right starting point is understanding what a buyer agent can do for your planning workflow — and what a better brief actually looks like in an agentic context.

If you want to go deeper on AdCP, an emerging open standards: The protocol documentation is freely available at agenticadvertising.org. While it is written for builders, the overview sections are accessible to anyone who wants to understand what the standard actually specifies.