Agentic Advertising: Guides, Comparisons and Tools

Agentic advertising uses software agents to discover inventory, negotiate proposals or operate campaigns under explicit permissions. Compare protocol scope, production evidence and human controls before choosing an implementation.

Start with the business decision and the data flow. Identify who owns the customer relationship, who receives each signal, who runs the decisioning system, and what evidence supports the result. A vendor feature list alone cannot settle those questions.

This guide brings together the reference material for this topic. Comparisons describe different operating models, rather than declaring a universal winner. The linked pages retain source dates, vendor-claim labels and the limits of each example. Read those limits before applying a figure or architecture to your own organization.

AAMP extends what already exists. The Tech Lab's position since October 2025 has been that the industry does not need a second rulebook. Katsur said the Tech Lab had "already solved some of the problems that this AdCP initiative is trying to" and that what the industry does not need is "another industry trade group" (PPC Land, 2 November 2025). The January 2026 roadmap committed to open-source buyer and seller agents, a neutral MCP reference server, standardised agent profiles, and gRPC and Protocol Buffers mappings for existing specifications (IAB Tech Lab, 6 January 2026). The seven protocol components named on 26 February 2026 map one to one onto existing standards: Agentic Audiences (UCP), Agentic Ad Objects (AdCOM), Agentic Direct (OpenDirect), Agentic Deals (Deals API), Agentic Bid (OpenRTB), Agentic Creative and Agentic Mobile (CloudX) (PPC Land, 1 March 2026).

Two pieces matter for infrastructure teams. ARTF is a container model: an exchange or DSP hosts third-party agent services in its own data center and lets them enrich a bid request before the auction, over gRPC with Protocol Buffers (RTBlint guide, accessed 17 October 2026). That is the first IAB Tech Lab specification that assumes code from another company runs inside your bidder. Adform and Adsquare shipped the first public ARTF integration on 27 May 2026, with Adsquare's agents running inside Adform's DSP for on-premise bid-request enrichment and no off-platform data sharing (ExchangeWire, 27 May 2026). The second piece is OpenProposal in AAMP 3.0, which defines how a seller represents ad products and answers a buyer's brief in agent-readable form, across a lifecycle of Publish, Discover, Compare, Qualify, Negotiate, Bind and Execute, and Report, using AdCOM as the shared vocabulary (IAB Tech Lab, 22 September 2026). Existing programmatic implementations are explicitly allowed to keep operating unchanged.

AdCP starts from the agent, not the auction. AdCP defines tasks (create_media_buy, get_media_buy_delivery, build_creative, sync_creatives, activate_signal and others) that an agent calls over MCP or A2A (PPC Land, 16 October 2025). Version 3.0 added brand.json at a well-known URL so a brand can declare its identity and authorized operators, adagents.json for seller discovery, 20 planning channels, proposals with budget allocations and forecasts, and a signed governance_context token for plan-level policy, which is still experimental (AdCP, What's new in 3.0). Version 3.2 added cross-package frequency caps, seller-optimized shared budgets and Reliable Reporting 1.0 (AdCP release notes). The protocol does not touch the bid request. When an AdCP buy executes, it lands on whatever the seller already runs: a programmatic guaranteed deal, a private marketplace deal ID, or a direct order. For how those execution rails work, see RTB architecture explained and the glossary entry for deal ID.

The overlap is the problem. Schlosser's description is the clearest public statement from a platform that has implemented both: AdCP "has the same functionality as AAMP," and Adform plans a core layer that takes one brief and routes it to whichever protocol a seller uses (ExchangeWire TraderTalk, 23 September 2026). His estimate of the cost of not having a shared standard is specific: a custom deals API integration with one SSP takes 250 to 350 days of work against perhaps 50 on a shared standard (PPC Land, 24 September 2026).

Read the full aamp vs adcp: agentic advertising standards explained 2026 guide for context, sources and limitations.

The honest answer on 17 October 2026 is: pilots, proofs of concept and a few million dollars.

What is in production is MCP. Adform exposes more than 800 capabilities of its DSP, ad server and DMP through an MCP server that Claude, ChatGPT or Copilot can call (ExchangeWire, 13 May 2026). NBCUniversal, FreeWheel, RPA and Newton Research ran an MCP-based agent-to-agent buy for a Q1 2026 premium video campaign, including live football playoffs, without naming either AdCP or AAMP (Newton Research, 6 January 2026). The pattern is consistent: companies are wrapping existing APIs in MCP and running supervised pilots. The two advertising-specific protocols sit above that layer and have not yet proven they are needed for the money to move.

Read the full aamp vs adcp: agentic advertising standards explained 2026 guide for context, sources and limitations.

1. Adoption. Which AI capabilities (bidding optimization, audience modeling, creative generation, campaign set-up agents, reporting and insight agents, supply-path curation) are in production, in pilot, or not used, by side and region?
2. Control. Who runs the models: the platform vendor, an agency, an in-house team, or a mix; and where does the data that trains or prompts them sit?
3. Money. What share of programmatic spend is placed by automated or agentic buying with no human in the loop per campaign, and how is that expected to change in 2027?
4. Trust and governance. Which controls exist (audit logs, explainability, spend caps, brand safety on generated creative, human sign-off), and which incidents have occurred?
5. Standards. Awareness and intended adoption of agentic advertising protocols (the AAMP vs AdCP tracker covers the two), and of explainability requirements.
6. Outlook. What practitioners expect to change in 2027 in budget, headcount, vendor relationships and in-house capability.

Read the full state of ai in programmatic 2027: survey methodology guide for context, sources and limitations.

The questionnaire is 4 screeners and 22 questions, median completion 11 minutes in pretest (target). Exact wording is frozen on 15 December 2026; the wording below is the pre-registered draft. Fifteen questions (marked core) will be repeated unchanged in 2028 to build a trend.

Screeners

• S1. Which best describes your organization? (Advertiser or brand; Agency or trading desk; Retailer or commerce media network; Publisher or broadcaster; SSP, exchange or ad server; DSP or bidding platform; Data, identity or measurement vendor; Other.) Routes to buy side, sell side or vendor.
• S2. In which country are you based? (List; US, UK, EU member states, Other. "Other" terminates.)
• S3. Which best describes your role? (C-level; VP or Director; Manager or Lead; Analyst, Trader or Specialist; Other.)
• S4. In the past 12 months, have you been directly involved in buying, selling or operating programmatic advertising? (Yes; No. "No" terminates.)

Section A: adoption (core)

• Q1 (core). For each of the following, is your organization using AI in production, piloting, evaluating, or not using? Grid: bid optimization; audience building or lookalikes; creative generation (text, image, video); campaign set-up or trafficking agents; reporting and insight agents; supply-path or inventory curation; fraud or brand-safety classification; forecasting and pacing. (4-point status scale plus "don't know".)
• Q2 (core). Roughly what share of your programmatic spend in the past quarter was placed by systems that choose placements and bids with no human approval per campaign? (0%; 1 to 10%; 11 to 25%; 26 to 50%; 51 to 75%; over 75%; don't know.)
• Q3. Which single AI use case delivered the most measurable value in the past 12 months? (Single choice from the Q1 list plus "none".)
• Q4 (core). How long has your organization used AI in production for any of the Q1 use cases? (Not yet; under 1 year; 1 to 2 years; 2 to 4 years; over 4 years.)

Section B: control and data (core)

• Q5 (core). Who operates the AI models you rely on for programmatic? (Multi-select: DSP or SSP vendor; agency; in-house team; specialist AI vendor; open-source models run in-house; don't know.)
• Q6 (core). Where does the first-party data used to train or prompt those models reside? (Multi-select: vendor cloud; agency environment; our own cloud tenancy; our own data center; a clean room; don't know.)
• Q7. Can your team see the features and weights, or an equivalent explanation, behind an automated bid or placement decision? (Always; sometimes; never; don't know.)
• Q8 (core). In the past 12 months, has your organization moved any AI or decisioning capability in-house, or out to a vendor? (In-house; out to a vendor; both; neither.)

Section C: governance and incidents

Section D: money and resources (core)

Section E: standards and outlook

An attention check ("select 'piloting' for this row") sits in Q1. Q13 and Q14 are asked as paired items to measure expectation against experience.

Read the full state of ai in programmatic 2027: survey methodology guide for context, sources and limitations.

What is agentic advertising? It is media planning, buying, selling and measurement carried out by software agents acting on a human brief and talking to other agents through a published protocol. IAB Tech Lab's AAMP and AgenticAdvertising.org's AdCP are the two protocol families. Both were launched between October 2025 and February 2026 and both are on their third major version as of October 2026 (PPC Land, 16 October 2025; PPC Land, 1 March 2026). Our agentic advertising hub collects the related pages.

Is AdCP part of the IAB Tech Lab? No. AdCP is governed by AgenticAdvertising.org, which describes itself as a pending 501(c)(6) trade association (GitHub, accessed 17 October 2026). IAB Tech Lab's CEO said in October 2025 that the industry did not need "another industry trade group" and left AdCP out of the January 2026 roadmap (PPC Land, 2 November 2025; The Current, 6 January 2026). The Prebid community maintains AdCP's reference sell-side implementation, so the two worlds already touch at the code level.

Does AAMP replace OpenRTB? No. AAMP wraps OpenRTB, OpenDirect, AdCOM and the Deals API in MCP, A2A and gRPC and adds ARTF for in-auction enrichment (IAB Tech Lab, 6 January 2026). OpenRTB itself continues on dated snapshots; the latest is 2.6-202606 of 11 June 2026 (openrtb2.x releases). There is no OpenRTB 2.7 and the 3.0 specification remains separate. See the glossary entry for OpenRTB and the RTB architecture hub.

Which companies support AdCP and AAMP? AdCP's founders are PubMatic, Scope3 (now Apostra), Swivel, Triton Digital, Optable and Yahoo, with Magnite, Kargo, LG Ad Solutions and Samba TV among launch supporters and 154+ members claimed today (PPC Land, 16 October 2025; AgenticAdvertising.org). AAMP's ARTF working group includes Amazon Ads, Index Exchange, OpenX, The Trade Desk, Netflix, Yahoo, Paramount, Optable, HUMAN Security, Magnite, PubMatic, WPP Media and Basis (PPC Land, 1 March 2026). PubMatic, Yahoo, Optable and Magnite appear on both lists.

How much ad spend runs through agentic protocols today? Very little, by the account of the people running it. Apostra's agentic buys were reported at about $1.2 million in September 2026 (PPC Land, 27 September 2026). Adform's CTO answered "Absolutely" when asked whether very little money runs through both protocols (PPC Land, 24 September 2026). No AAMP spend figure has been published.

• DSP, DMP and External Data: 8 Explainable RTB Strategies: Combining a DSP, a DMP and external data can improve the information available before a bid.

• AAMP vs AdCP: Agentic Advertising Standards Explained 2026: AAMP (IAB Tech Lab) vs AdCP (AgenticAdvertising.org): sponsors, versions, participants, what changes in OpenRTB and what runs in production. Monthly.

• Explainable AI RTB Simulator: See Why a Bid Wins or Loses: An illustrative interactive model; its results are not measured campaign performance.

• State of AI in Programmatic 2027: Survey Methodology: Pre-registered plan for the State of AI in Programmatic 2027 survey: 22 questions, 400 practitioners in the US, UK and EU, open data under CC BY, DOI.

1. PPC Land, 2 November 2025
2. IAB Tech Lab, 6 January 2026
3. PPC Land, 1 March 2026
4. RTBlint guide, accessed 17 October 2026
5. ExchangeWire, 27 May 2026
6. IAB Tech Lab, 22 September 2026
7. PPC Land, 16 October 2025
8. AdCP, What's new in 3.0
9. AdCP release notes
10. ExchangeWire TraderTalk, 23 September 2026
11. PPC Land, 24 September 2026
12. ExchangeWire, 13 May 2026
13. Newton Research, 6 January 2026

• October 18, 2026: aligned the search title and heading, expanded the source-linked guide and reviewed its page groups.
• October 17, 2026: assembled this guide from the approved reference pages, retaining their source links and limitations.