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Oct · 9 min read
How hotel groups, airlines, travel media networks and travel platforms use AI agents in advertising, from campaign co-pilots to budget allocation, with each example named, dated and sourced.
Oct · 9 min read
An unranked, sourced map of the companies offering agentic advertising platforms, grouped into six categories from standards and marketplaces to buy-side, sell-side and orchestration tools.
Oct · 9 min read
Ten named, dated examples of AI agents in automotive advertising, grouped by job: media buying, creative, shopper conversations and ad operations, with where the human sits in each and what to check before an agent spends a car brand's budget.
Oct · 9 min read
Is agentic advertising just programmatic, unregulated or about to replace media buyers? Twelve common claims checked against standards bodies, research and trade press, each with a verdict and the source behind it.
Oct · 9 min read
A grouped reading list of 25 primary sources on agentic advertising: AAMP and AdCP specifications, IAB Tech Lab reference agents, the A2A and MCP protocols, research papers and risk frameworks, each with a short note.
Oct · 9 min read
An hour-by-hour walkthrough of a hypothetical agency trading desk running AI buying agents, from the morning decision log review and approvals queue to reconciliation against the deal record and the end-of-day report.
Oct · 9 min read
Plain answers to the 20 questions buyers and sellers ask about agent-to-agent CTV deals, from negotiation and standards to measurement, verification and first steps.
Oct · 9 min read
Eight ways AI agents now work across a connected TV campaign, from reach forecasting to reconciliation, with what a person still decides, a sourced example and the main risk at each stage.
Oct · 9 min read
A seven-test framework for checking whether an advertising platform's AI agent acts, negotiates, follows a written mandate and leaves a checkable record, or is automation with a new label.
Oct · 9 min read
IAB Tech Lab's OpenProposal 3.0 comment period, now extended to 10 November 2026, had 52 filings from 17 GitHub accounts by its original 22 October deadline. What they raised, grouped by theme, and what happens next.
Oct · 9 min read
How the EU AI Act's risk classes, transparency rules and human oversight principles apply to AI agents that buy and sell media, with the dates obligations apply and a practical checklist for buyers and publishers.
Oct · 9 min read
Agent negotiations stall when mandates do not overlap, rounds run out or nobody has authority to move. A worked hypothetical shows the rounds, the stall, the escalation and what gets recorded.
Oct · 9 min read
A dated, sourced monthly roundup of agentic advertising standards, platform launches, agent-to-agent deals and research from October 2026, plus what is already scheduled for November.
Oct · 9 min read
Agents have placed live linear TV orders with US broadcasters, but upfronts, final sign-off and post-air proof still sit with people. What has run, what is only announced, and what to agree first.
Oct · 9 min read
Thirty verified figures on agentic advertising adoption, agent reliability, standards activity, supply chain transparency and buyer trust, each linked to its original source.
Oct · 9 min read
Agentic commerce is AI agents shopping and paying for consumers and businesses. Agentic advertising is AI agents buying and selling media. They share agent protocols but differ in who the agent serves, what it buys and which standards apply.
Oct · 9 min read
From audience discovery to policy fixes, a job-by-job list of how brands use AI agents in advertising, with sourced examples and the decisions people still keep.
Oct · 9 min read
A dated record of the AI agents that Amazon Ads, Google, The Trade Desk, Yahoo DSP, PubMatic, Magnite and others announced, alongside the AAMP and AdCP standards releases, each linked to its source.
Oct · 9 min read
Ten observed developments in AI and programmatic advertising, from agent-negotiated deals, open standards and agent identity to benchmarking, curation, creative, CTV and measurement, each with a cited source.
Oct · 13 min read
Twenty-one dated, sourced examples of brands and agencies using AI agents in advertising, grouped by job: planning, buying, creative, measurement and customer-facing ad formats, and what people still decide.
Oct · 9 min read
Eight practical steps for putting an AI agent to work on media buying, from choosing the first decision it owns to benchmarking, sparring, a supervised pilot and earning more autonomy, with people approving throughout.
Oct · 9 min read
Plain definitions of 40 agentic advertising terms, from mandates and earned autonomy to AAMP, AdCP, OpenProposal, deal IDs, DealSheets and the supply chain files agents still check.
Oct · 5 min read
What does bilateral deal governance mean for brand safety teams? Bilateral deal governance means that brand safety constraints are committed to in the deal terms before any inventory runs, held in a…
Oct · 4 min read
How does AAMP compare to OpenRTB for programmatic advertising? OpenRTB governs real-time bidding on individual impressions through an auction mechanism; AAMP governs deal-level negotiation between…
Oct · 7 min read
As of October 2026, the clearest public claims come from exchanges and SSPs listing seller agents in IAB Tech Lab's Agent Registry. How to tell a marketplace from a seller agent, and what to check.
Oct · 7 min read
sync_audiences, get_signals and activate_signal explained: how buyer agents bring first-party lists and third-party signals into a buy, what changes for data providers and publishers, and what to ask about privacy.
Oct · 7 min read
When a governance agent is configured, AdCP's check_governance validates a buy against a human-approved plan, escalates actions above set thresholds to a person and logs who decided what.
Oct · 7 min read
The IAB Tech Lab Agent Registry lists the MCP and A2A agents companies bring to market. What a listing contains, what it does not prove, and checklists for listing an agent and checking one.
Oct · 7 min read
IAB Tech Lab's open-source buyer and seller agents show decision workflows, supply-side coordination and approval gates on agentic-direct. What they demonstrate, and what to check before building on them.
Oct · 7 min read
How AdCP uses HTTP Message Signatures (RFC 9421), keys published through brand.json and idempotency keys to identify buying agents and stop duplicate buys, and what buyers and publishers should ask vendors.
Oct · 5 min read
What is llms.txt and why does it matter for advertisers and publishers? llms.txt is a plain-text file placed at the root of a website that tells AI language models what content is available on the…
Oct · 7 min read
The questions finance should put to any AI media buying proposal: authority and thresholds, accountability, deal records, audit access, data, exit and pilot sizing, with a hypothetical approval memo.
Oct · 7 min read
Why holdout and geo tests beat attribution for agent-bought media, why the test design belongs in the mandate, how deal records tie spend to test cells, and a hypothetical geo test.
Oct · 7 min read
Streaming audio, dynamically inserted podcast ads and host reads need different handling. What an AI agent's mandate and deal record must state about inventory, approval and how delivery is counted.
Oct · 7 min read
Caps set inside each deal do not add up to a campaign cap. What the mandate and deal terms need to say about household versus device, unrecognised users and shortfall, and what a buyer can enforce alone.
Oct · 7 min read
B2B audiences are small and buying cycles are long. AI agents help only when the mandate locks the account list, the publisher set, pacing and exposure limits, so spend reaches the accounts that matter.
Oct · 7 min read
DOOH suits agent negotiation, but its impressions are audience estimates and its delivery evidence is a play log. What the deal record must specify on screens, dayparts, audience source and proof of play.
Oct · 7 min read
What triggers a make-good in an agent-negotiated deal, which decisions an agent can take and which need a person, how to record the remedy, and a hypothetical worked example.
Oct · 6 min read
A practical RFP question list for agentic advertising platforms: mandates and approvals, AAMP versions, Agent Registry listing, deal types, the deal record, data handling, audit and exit.
Oct · 7 min read
How to scope a 30-day agentic advertising pilot: the mandate, approval thresholds, what to measure, stop criteria, a week-by-week plan and a hypothetical budget split.
Oct · 7 min read
The seven items a buying agent's decision log should record, why the mandate version matters, what a log cannot show, and why a log is not the same as an agreed record of the deal.
Oct · 7 min read
What changes when price depends on outcomes: measurement definitions agreed up front, attribution windows, who measures, how disputes are settled, and what a mandate should allow an agent to accept.
Oct · 7 min read
Where clean rooms support agent-negotiated deals before, during and after a campaign, what agents can and cannot do with them, and why lawful basis stays with the data controller under UK GDPR.
Oct · 4 min read
What is the difference between MCP and A2A in advertising? MCP (Model Context Protocol) connects an AI agent to its data sources and tools; A2A (Agent-to-Agent) connects one AI agent to another AI…
Oct · 7 min read
Agent trading infrastructure is arriving. The end of the auction, the exit of humans and solved transparency are not supported. Each prediction tested against an indicator buyers can check.
Oct · 7 min read
An assisted auction, a two-track market or fragmented agent negotiation. Three scenarios for programmatic in 2030, the signals that point to each, and the moves that work in all of them.
Oct · 7 min read
A media buyer needs a buy-side agent first. Sell-side agents act for publishers. The real test is whether a buyer's sellers can answer an agent and whether both sides hold the same deal record.
Oct · 7 min read
Agencies use AI to plan, buy and report across many clients, so they need separate mandates, approvals and records per client. Brands buying direct need to own the mandate, the approvals and the deal record.
Oct · 7 min read
Agents are likely to absorb buying, routine negotiation and parts of planning. Verification, measurement and billing stay separate because their value is independence and accountability.
Oct · 7 min read
A three-way media match of agreed terms, delivery and invoice, why it depends on one shared deal record, the questions to ask vendors, and a hypothetical month-end example.
Oct · 7 min read
IAB Tech Lab publishes AAMP and AgenticAdvertising.org governs AdCP, but neither can force adoption. What ads.txt, sellers.json and OpenRTB show about how standards really spread.
Oct · 7 min read
A2A carries messages between buyer and seller agents, but the advertising meaning comes from a protocol such as AAMP. Three hypothetical examples show which layer does what.
Oct · 7 min read
Five checks before a publisher accepts an AI buying agent's terms: who the principal is, mandate evidence, Agent Registry listing, negotiation behaviour and a shared record of what was agreed.
Oct · 7 min read
Generative AI produces content such as copy and images. Agentic AI takes actions with consequences, such as committing budget, within a mandate. How they differ, how each is governed and how they combine.
Oct · 7 min read
A hypothetical walkthrough of an agentic media buy: brief, mandate, seller product discovery, negotiation rounds, escalation to a human, approval, a shared deal record and a delivery check.
Oct · 7 min read
ads.txt and sellers.json identify sellers in the bid stream, not AI agents. How IAB Tech Lab's Agent Registry and AdCP's adagents.json approach agent identity, and what publishers still need to check.
Oct · 7 min read
Buyer agents compare offers across sellers and never tire of countering. Publishers need floors written as policy: list price, walk-away price, fixed quality terms and clear concession rules.
Oct · 7 min read
IAB Tech Lab's AAMP publishes a reference seller agent, but running one is a long-term commitment. Most publishers should borrow the agent and own their products, rules and deal record.
Oct · 7 min read
Publishers need five things to accept deals from autonomous advertising agents. Four are documents and decisions a sales team can produce; only the agent itself needs engineering.
Oct · 7 min read
Curation packages publishers and supply paths into a deal a buyer activates in a DSP. Agent negotiation has buyer and seller agents agree terms deal by deal. Here is how they differ and when each fits.
Oct · 4 min read
What is a DealSheet in agentic advertising? A DealSheet is a bilateral deal record held by a neutral marketplace and owned equally by both the buyer and the publisher: once committed, neither party…
Oct · 4 min read
How will advertising work inside AI chat interfaces like ChatGPT? Advertising inside AI chat interfaces works through conversational sponsored content: brands negotiate placement as part of a deal…
Oct · 7 min read
How self-serve, managed service and agent-negotiated CTV buying compare on cost, control and inventory access for smaller budgets, and the three questions to ask before choosing.
Oct · 7 min read
Local TV deals were often too small to justify a sales call. Agents lower the cost of each negotiation, but seller readiness, mandates and a shared deal record decide whether small advertisers benefit.
Oct · 7 min read
SSAI, app and device spoofing all misrepresent where an impression came from. A shared deal record fixes what was agreed and who agreed it, but detection still belongs to verification.
Oct · 7 min read
AAMP and AdCP define what advertising agents say about products, deals and delivery. A2A and MCP are general-purpose protocols that carry those messages between agents and tools.
Oct · 6 min read
What IAB Tech Lab's Agentic Advertising Management Protocols are, what each component does, which deal types AAMP supports, and how it relates to AdCP.
Oct · 6 min read
What the Ad Context Protocol from AgenticAdvertising.org covers across a media buy, how it handles identity and human approval, what it leaves out, and how it compares with AAMP and OpenRTB.
Oct · 8 min read
Supply path optimisation cuts the intermediaries between buyer and publisher. How it is done today, which DSPs, SSPs, curators and verification vendors support it, and what AI agents change.
Oct · 8 min read
What AI agents in advertising are, the three roles they play, what they do in a media buy today, and where humans stay in control.
Oct · 7 min read
Why the auction stays, where agent-negotiated deals are growing, and why shared deal records, not agent capability, set the pace of change.
Oct · 12 min read
Agentic advertising defined: how it differs from programmatic and from AI in advertising, its key components from buying agents and mandates to AAMP, AdCP and deal records, with examples and related terms.
Oct · 5 min read
How to get started buying agentic media on an agent marketplace Getting started on an agent marketplace requires four things in sequence: defining a buying mandate that the agent will operate within,…
Oct · 5 min read
How does agent-to-agent negotiation apply to CTV inventory? Agent-to-agent negotiation applies to CTV inventory through the same deal-based mechanism it applies to any programmatic inventory, but with…
Oct · 5 min read
How does agentic advertising help small advertisers reach premium TV inventory? Agentic advertising helps small advertisers reach premium TV inventory by automating the deal management process that…
Oct · 5 min read
How are AI agents changing connected TV advertising? AI agents are changing connected TV advertising by making direct deal negotiation tractable at volumes a human trading team cannot manage, and by…
Oct · 4 min read
Of the 55 media buys completed in the Concourse v1 benchmark , 95 of the 110 signed contracts accepted viewability floors below 70%. The AI buyers completed the task. They did not negotiate good…
Oct · 4 min read
Before deploying an AI media buyer, run it through a standardised brief under controlled conditions and measure both completion rate and contract quality. The Concourse benchmark gives buyers a…
Oct · 5 min read
An AI buyer does what it was trained to do. The Concourse v1 benchmark found that models trained to complete media buys did exactly that: 55 of 96 runs finished with signed portfolios. In 95 of those…
Oct · 5 min read
When evaluating an agentic advertising platform, marketing managers should look at three things before anything else: what the agent actually does autonomously, what it requires human approval for,…
Oct · 7 min read
Agentic advertising is the model where AI agents negotiate, agree, and execute media deals within mandates set by human teams. This page answers the questions buyers, publishers, and marketing teams…
Oct · 5 min read
When a buy-side agent negotiates directly with a sell-side agent, several of the intermediary layers that currently sit between advertiser and publisher become unnecessary. The supply chain does not…
Oct · 4 min read
The IAB Tech Lab specification covers the proposal stage. The DealSheet covers what comes next.
Sep · 4 min read
The criteria that matter and the questions worth asking before you commit
Sep · 5 min read
CTV's fragmented identity infrastructure creates a specific verification challenge for model-driven buyers. Here is what needs to be true for agent-executed deals to hold.
Sep · 4 min read
More agents, more direct relationships, fewer intermediaries. The verification problem does not simplify as the path shortens. It gets harder.
Sep · 4 min read
Agent negotiation changes what a constrained budget can access by removing intermediary layers and reducing the execution cost per buy. Here is what that looks like in practice.
Sep · 5 min read
A model-driven seller needs to operate differently from a policy-rule system at the deal structure, communication, and approval logic level. This is the sell-side architecture piece the market is missing.
Sep · 5 min read
Intermediary costs, minimum spend thresholds, and negotiation friction keep SME budgets out of premium television. An honest look at what would need to change.
Sep · 4 min read
What changes, what stays the same, and where the integration actually happens
Sep · 4 min read
The current model requires a pre-built DSP-SSP integration for every buyer-seller relationship. Agent-to-agent negotiation changes what infrastructure needs to exist before trading can start.
Sep · 4 min read
The metrics that shift when negotiation is automated, and the ones that stay the same
Sep · 4 min read
Bilateral terms, mutual deal record ownership, and multi-round negotiation are structural differences from programmatic. This is not faster programmatic buying.
Sep · 3 min read
How the agent-to-agent communication standard changes deal structure in practice
Sep · 5 min read
Concourse Bench v1 evaluates model-harness combinations, not models alone. The software layer that wraps an AI buyer is as consequential as the model it runs.
Sep · 6 min read
A step-by-step account of how AI buyers negotiate media deals: opening offer, counter, budget check, portfolio review, and commitment.
Sep · 5 min read
The programmatic stack does not need to be replaced. It needs a new layer on top: the negotiation and governance infrastructure that handles what APIs were never designed to do.
Sep · 5 min read
Agents draft and recommend. Humans approve at named decision points. Here is what that approval gate covers, what it does not, and how the deal record makes it real.
Sep · 5 min read
Removing managed service overhead lowers the practical entry point for television advertising. What that means for campaign structure, and what a smaller advertiser needs to have in place.
Sep · 5 min read
When an agent commits to inventory on a buyer's behalf, accountability is defined by the approval record and deal terms. Here is what buyers need in the deal structure.
Sep · 3 min read
What AgenticAdvertising.org's AdCP covers, where it stops, and how it sits alongside IAB Tech Lab's AAMP framework for agentic advertising.
Sep · 5 min read
When agents act on behalf of buyers and sellers, the deal record is how disputes are resolved, compliance is demonstrated, and performance is verified.
Sep · 5 min read
Which decisions should the agent take autonomously, which require sign-off, and how is the boundary enforced? A practical guide to the harness-level design question.
Sep · 4 min read
What to expect when you move from traditional programmatic to agent-negotiated buying
Sep · 4 min read
What the deal format looks like and why the structure matters for both parties
Sep · 4 min read
A clear look at the companies, standards, and approaches shaping the market
Sep · 6 min read
Both connect buyers and sellers of media. The structural difference is what they own and what they leave in customer systems.
Sep · 6 min read
The claim "AI can buy media" was untested. Concourse Bench v1 is the evidence base that makes every other piece of Alkimi's content defensible.
Sep · 6 min read
A taxonomy of where current AI deployments sit, and what evidence justifies moving between them
Sep · 6 min read
Programmatic is a buying mechanism. Agentic is a buying model. The distinction is structural, not technical.
Sep · 6 min read
Reading a brief is the easy part. Holding it as a binding constraint across multiple parallel negotiations is where models diverge.
Sep · 6 min read
SPO was always about transparency. Agentic buying makes transparency load-bearing.
Sep · 6 min read
Each stage has distinct failure modes. A completion rate alone does not tell you which stage broke.
Sep · 7 min read
When agents act on behalf of buyers and sellers, both parties need a shared, authoritative record of what was agreed. That is what the DealSheet provides.
Sep · 6 min read
A working definition for a term that has been stretched past usefulness
Sep · 8 min read
Apostra's rebrand from Scope3 signals that agentic advertising is mainstream. Three companies, one word, three different meanings.
Sep · 4 min read
Demand path optimisation is the sell-side practice of evaluating and prioritising the most valuable, transparent, and reliable buyers, and agentic advertising makes that evaluation significantly more data-rich.
Sep · 4 min read
Brand safety in agentic advertising requires buyers to encode safety constraints directly into agent mandates, verify that those constraints travel with the agent across every negotiation, and audit outcomes against declared parameters.
Sep · 4 min read
When AI agents negotiate media deals on behalf of buyers and sellers, neutral infrastructure is what prevents one party's platform from disadvantaging the other, and it is the practical foundation of trust in an automated market.
Sep · 4 min read
Alkimi is a neutral agentic advertising marketplace where buy-side and sell-side agents negotiate bilateral deals directly, producing a shared DealSheet that both parties hold independently. This piece explains how the connection is made, how proposals ...
Sep · 4 min read
AI-assisted programmatic uses artificial intelligence to optimise bids and targeting decisions within a conventional auction system. Agent-to-agent advertising replaces the auction entirely with bilateral negotiation between autonomous agents operating ...
Sep · 4 min read
A DealSheet is the bilateral record of agreed deal terms written at the time of negotiation and held by both the buyer and publisher independently. It captures what was agreed before any impression is served: the CPM, the inventory scope, the audience c...
Sep · 4 min read
When a dispute arises over an agent-negotiated deal, the DealSheet is the reference point. The marketplace provides deal record retrieval; both parties compare their delivery data against the agreed DealSheet terms. The neutral marketplace holds the rec...
Sep · 4 min read
Setting clear budget controls for AI advertising agents requires defining spending ceilings, price floors, escalation thresholds, and review cadences before the agent begins operating.
Sep · 4 min read
An agent mandate is a formal set of instructions, permissions, and constraints that defines what an AI advertising agent is authorised to do on behalf of a buyer or seller.
Sep · 4 min read
US buyers evaluating agentic advertising marketplaces should assess deal governance, mandate portability, audit log access, standards support, and human oversight design before committing to a platform.
Sep · 4 min read
Agent-to-agent deal governance is the set of rules, records, and oversight mechanisms that ensure AI agents on both sides of a media transaction operate within authorised boundaries and produce auditable outcomes.
Sep · 4 min read
Bilateral deal ownership means both parties to an advertising deal hold the same document: the agreed terms written to a shared record that neither party can alter unilaterally. In conventional programmatic, each party holds their own version. The bilat...
Sep · 4 min read
SSPs are adapting to agent-to-agent media buying by building sell-side agent capabilities and integrating with neutral marketplaces that provide bilateral deal record infrastructure. For publishers who currently route inventory through an SSP, the key q...
Sep · 4 min read
Publishers set deal terms for autonomous buying agents through a sell-side mandate: a human-approved governance document that defines the parameters within which the sell-side agent can act. A well-structured mandate covers CPM floors, inventory categor...
Sep · 4 min read
Programmatic guaranteed and agent-to-agent CTV buying both aim to transact premium inventory at pre-agreed prices. The structural difference is in who holds the deal record, how that record is written, and how reconciliation works post-campaign. In prog...
Sep · 4 min read
An exchange runs auctions: the SSP manages deal setup, price is determined by the highest bid, and the publisher holds no shared deal record. An agentic marketplace runs bilateral negotiations: the sell-side agent evaluates proposals against the publish...
Sep · 5 min read
A CTV media buying mandate is more specific than a general display mandate. It needs to define which broadcaster and content categories the brand will appear against, what CPM ceilings apply by category, what audience data permissions the agent holds fo...
Sep · 4 min read
US brand-direct buyers are adopting agentic advertising by starting with mandate-bounded pilot campaigns, focusing on direct publisher relationships, and building internal governance frameworks before scaling agent autonomy.
Sep · 4 min read
Agentic buying shifts the agency trading desk from execution management to mandate governance, supply path strategy, and agent performance oversight.
Sep · 4 min read
US CMOs need to understand that agentic advertising shifts the strategic conversation from campaign configuration to mandate governance, requiring new accountability frameworks and cross-functional alignment before agents are deployed at scale.
Sep · 5 min read
The manipulation vectors that exist in auction-based programmatic do not apply in a bilateral agent-to-agent marketplace. There is no auction, so there is no bid shading, no floor price manipulation, and no bid inflation. The DealSheet records the agree...
Sep · 5 min read
A CTV publisher preparing to receive agentic proposals needs a sell-side mandate that goes further than a standard programmatic floor configuration. It needs CPM floors by content category and daypart, buyer category restrictions, audience data conditio...
Sep · 5 min read
There are three concrete checks for whether a buy-side agent has negotiated fairly on your behalf. First, retrieve the DealSheet and confirm the agreed CPM is within your mandate parameters. Second, review the agent's decision log to confirm it applied ...
Sep · 5 min read
A buyer running agent-negotiated deals should have three audit rights: deal record access, decision log access, and delivery comparison capability. Deal record access means the ability to retrieve the DealSheet for any deal independently of the counterp...
Sep · 5 min read
In conventional programmatic, human campaign controls are platform configuration settings that enforce buying behaviour at the DSP level. In agent mandate governance, controls are expressed as mandate parameters that the agent evaluates before acting. T...
Sep · 4 min read
An agent-to-agent marketplace provides four governance functions: identity verification, mandate enforcement, deal record integrity, and audit access. Together, these functions mean that buyers can demonstrate every deal their agent agreed was within th...
Sep · 4 min read
AI is shifting programmatic advertising from rule-based automation to reasoning-based decision-making, with consequences for how inventory is bought, how deals are structured, and how campaign performance is governed.
Sep · 3 min read
US advertising agencies are deploying AI across planning, bidding, and optimisation to reduce manual work, improve targeting, and respond to campaign signals faster than human teams can manage alone.
Sep · 3 min read
Agentic advertising is an emerging model where AI agents handle media negotiation, deal-making, and campaign execution on behalf of buyers and sellers, with humans setting the rules and approving key decisions.
Sep · 4 min read
The Agentic Advertising Organisation is an industry body formed to develop standards, guidance, and governance frameworks for agentic advertising. It exists to ensure that the transition from human-directed to agent-executed advertising transactions is ...
Sep · 4 min read
In conventional programmatic, there is no single document both parties agreed before the campaign ran. In agentic advertising, the bilateral DealSheet is written at negotiation time, timestamped, and held by both parties independently. This piece explai...
Sep · 4 min read
Agentic advertising is beginning to intersect with the US upfront market by enabling AI agents to manage the negotiation, documentation, and governance of forward commitments in a more structured and auditable way.
Sep · 4 min read
AI agents are making contextual targeting faster and more precise by analysing content signals at scale, enabling programmatic buyers to reach relevant audiences without relying on third-party cookies.
Sep · 4 min read
Independent ad tech companies are building the neutral infrastructure that agentic advertising needs to function fairly, giving buyers and sellers an alternative to walled garden automation.
Sep · 5 min read
Publishers need three things before they can accept deals from autonomous buying agents: an integration built to an open agentic standard, a sell-side mandate for autonomous acceptance, and deal record infrastructure.
Sep · 5 min read
Publishers evaluating marketplaces for agent-negotiated deals should look for four things: AAMP support, sell-side agent support with mandate governance, a bilateral DealSheet held by both parties, and a neutral marketplace structure.
Sep · 5 min read
Connected television inventory has long been traded through direct insertion orders or programmatic guaranteed arrangements that require significant human involvement at every stage. Agentic buying changes the process, not the principles. A buy-side age...
Sep · 5 min read
Three specific capabilities distinguish Alkimi from existing programmatic infrastructure: bilateral deal records both sides hold, neutral deal record holding, and cross-platform agent-to-agent negotiation.
Sep · 3 min read
Retail media is one of the fastest-growing areas of US digital advertising, and agentic advertising infrastructure is beginning to shape how brands negotiate and govern retail media deals at scale.
Sep · 3 min read
US privacy laws including CCPA and emerging state-level regulations create specific requirements for how AI advertising agents can access, use, and transmit audience data. Buyers need to understand where compliance responsibility sits in an agentic buyi...
Sep · 3 min read
The Media Rating Council publishes standards that define how digital advertising impressions and viewability are measured. As agentic advertising scales, MRC guidance is evolving to address how automated deal negotiation intersects with established meas...
Sep · 3 min read
Prebid is the open-source header bidding framework used by thousands of US publishers. As agentic advertising grows, the Prebid community is addressing how open-source infrastructure can support agent-to-agent deal negotiation alongside its existing auc...
Sep · 2 min read
Carbon and sustainability are becoming measurable parameters in US programmatic buying. Agentic advertising infrastructure is positioned to encode sustainability requirements directly into agent mandates, making carbon-aware buying automated rather than...
Sep · 3 min read
US holding company agencies face distinct challenges in adopting agentic advertising: cross-client mandate governance, liability for agent decisions made at scale, and the question of whether to build proprietary agent infrastructure or adopt neutral ma...
Sep · 3 min read
AI agent-driven programmatic buying changes the measurement model by shifting key decisions from humans to automated systems, which requires buyers to move measurement governance earlier in the process and encode it into the agent mandate before campaig...
Sep · 3 min read
Agent-to-agent advertising describes a model where autonomous AI agents on the buy side and sell side negotiate media deals directly. US programmatic teams need to understand how it differs from standard automation and what it means for their workflows.
Sep · 3 min read
Programmatic deal transparency is the ability of buyers and publishers to independently verify the terms, execution, and delivery of a media deal. For US buyers, it is both a commercial imperative and an increasingly regulated requirement.
Sep · 2 min read
US publishers can grow revenue through agentic advertising by offering sell-side agents that negotiate directly with buy-side agents, producing bilateral deal records that command premium pricing compared to open-market auction inventory.
Sep · 2 min read
Invalid traffic and ad fraud are persistent problems in US programmatic advertising. Agentic advertising platforms need to address IVT not only at the impression level but at the deal governance level, where agent-negotiated terms can be manipulated if ...
Sep · 3 min read
SSPs and agentic marketplaces serve different functions. SSPs manage auction-based programmatic selling. Agentic marketplaces handle negotiated deal-making between autonomous agents. US publishers need to understand the distinction to make informed infr...
Sep · 2 min read
Attention-based advertising measures whether ads were actually seen and processed, rather than simply served. AI agents can operationalise attention as a buying parameter, making attention measurement an executable deal constraint rather than a post-cam...
Sep · 3 min read
A deal sheet in programmatic advertising is a shared, structured record of the terms agreed between a buyer and a publisher before a campaign runs. It is not a deal ID. It is a bilateral document that both parties hold and can audit independently.
Sep · 3 min read
The Agentic Advertising Management Protocols (AAMP) is an open standard published by IAB Tech Lab that defines how agentic advertising marketplaces should handle deal negotiation, governance, and audit. US buyers evaluating agentic platforms should unde...
Sep · 3 min read
Most US media buyers do not hold a verifiable record of what they agreed in their programmatic deals. This article explains what a verifiable deal record looks like, why it matters, and how to get one.
Sep · 4 min read
Agentic advertising reduces hidden fees by making deal terms explicit in negotiated records, shortening the intermediary chain, and giving buyers audit logs that connect spend commitments to delivery outcomes.
Sep · 4 min read
IAB Tech Lab's AAMP and AgenticAdvertising.org's AdCP are two separate open standards for agentic advertising. Understanding what each covers is essential for US buyers and publishers evaluating agentic platforms.
Sep · 3 min read
Only a small number of platforms currently support genuine agent-to-agent bidding, where buy-side and sell-side agents negotiate directly. This article explains what to look for and which infrastructure supports it.
Sep · 3 min read
US buyers building an internal business case for agentic advertising should focus on three pillars: operational efficiency gains, accountability improvements that satisfy CFO and legal scrutiny, and a phased deployment model that controls risk.
Sep · 3 min read
Publishers working with autonomous buy-side agents need to define deal parameters their sell-side infrastructure can communicate and enforce. This article explains what that looks like in practice.
Sep · 3 min read
AI agent negotiation in programmatic advertising means structured, mandate-driven deal-making between buy-side and sell-side agents, not simply faster bidding. This guide explains how it works and what US media buyers need to understand before adopting it.
Sep · 4 min read
US agency trading desks are beginning to evaluate agentic advertising platforms. This article describes the categories of platform in the market, what each offers, and the questions trading desks should ask before committing.
Sep · 4 min read
Agent commerce is the model in which software agents, operating under human-defined mandates, conduct commercial transactions directly with counterparty agents. In advertising, this means bilateral deal negotiation.
Sep · 4 min read
How bilateral agent-to-agent negotiation shortens the supply path, reduces technology fees, and produces a shared deal record, compared to conventional multi-hop programmatic buying.
Sep · 4 min read
How to distinguish platforms that support genuine bilateral agent-to-agent deal negotiation from platforms that use AI to automate decisions within a conventional auction, and what questions to ask.
Sep · 4 min read
A machine-readable ad deal for agent-to-agent negotiation expresses every parameter in a format an agent can evaluate: party credentials, inventory spec, CPM terms, audience conditions, delivery commitment, and approval thresholds.
Sep · 3 min read
The two main standards for agent-to-agent advertising: IAB Tech Lab's AAMP, the industry framework for agent communication and deal workflows, and AdCP, a separate protocol published by AgenticAdvertising.org.
Sep · 4 min read
Publishers verify agent-negotiated deals through three layers: agent identity verification, mandate verification against proposed terms, and deal record verification using the shared DealSheet post-campaign.
Sep · 4 min read
A2A protocol defines how software agents identify themselves, exchange deal proposals, and reach bilateral agreement. In advertising, the industry framework is IAB Tech Lab's AAMP; AdCP from AgenticAdvertising.org is a separate protocol.
Sep · 4 min read
Brands are using AI agents in advertising in a progression from AI-assisted campaign optimisation to mandate-governed deal execution. The governance model is earned autonomy: agents operate within defined parameters, humans retain approval authority.
Sep · 5 min read
The failure modes of AI-powered advertising are mandate gaps, approval thresholds set too high, deal records not reviewed post-campaign, and accountability gaps with no named human owner. All are addressable with governance discipline.
Sep · 4 min read
The three-step approach to supply chain reduction: audit the current supply path, identify which inventory justifies direct bilateral deals, and build the mandate and agent infrastructure to run bilateral deals at scale.
Sep · 4 min read
Brand safety in agent-mediated buying is maintained through the mandate, not real-time human review. The mandate must include explicit inventory exclusions and adjacency requirements. Post-campaign verification uses the DealSheet as the reference document.
Sep · 5 min read
The primary risks of AI agents in media buying are mandate governance failures, approval thresholds that never activate, deal records that are not audited, and accountability gaps. These are governance risks, not technology risks, and they are addressable.
Sep · 13 min read
A step-by-step guide to what an AI agent can do at each stage of a media buy today, what to hand it first, what stays with a human under the five stages of earned autonomy, and how to test an agent before it spends.
Sep · 4 min read
Price negotiation between buy-side and sell-side agents works through structured bilateral proposal exchange, not auction. The buy-side mandate carries a CPM range; the sell-side mandate carries a CPM floor. Agreement is reached when both ranges overlap.
Sep · 4 min read
Agencies are using AI in programmatic buying in two distinct ways: AI-assisted optimisation within conventional auction-based programmatic, and mandate-governed agentic bilateral deal negotiation. The governance requirements differ significantly.
Sep · 4 min read
Agent-to-agent deal reconciliation works from the shared DealSheet outward. Both parties agreed the terms before any impression was served; the DealSheet is the reference point for post-campaign verification.
Sep · 4 min read
The structural difference between a programmatic exchange and Alkimi's agentic marketplace: how prices are set, how deal records are held, and what each model means for buyer transparency and post-campaign reconciliation.
Sep · 4 min read
How agency trading desks are reorganising around mandate governance, agent oversight, and deal record management as buy-side agents take over the execution layer of bilateral deal negotiation.
Sep · 4 min read
A practical guide to writing a media buying mandate: the six core elements it must contain, how to make it auditable, and who should review it before the agent is deployed.
Sep · 5 min read
The structural difference between CPMs won in auction and CPMs agreed in bilateral negotiation: how prices are set, what patterns result, and how to calibrate mandate CPM parameters correctly.
Sep · 4 min read
A four-step response framework for out-of-mandate agent behaviour: contain, investigate, notify, and remediate the mandate. Why the root cause is almost always a mandate gap rather than an agent failure.
Sep · 4 min read
How to set financial and scope approval thresholds in a media buying mandate: the two classes of threshold, how to calibrate them, and what the escalation experience should look like.
Sep · 4 min read
How data protection obligations apply in agentic advertising, what the mandate must address for audience data, how the DealSheet supports compliance documentation, and the practical steps buyers should take.
Sep · 4 min read
The core components of a sell-side agent mandate: inventory classification, CPM floors, deal type parameters, audience data permissions, and approval thresholds. What good looks like and who should write it.
Sep · 4 min read
A definition of the media buying mandate: why mandates are necessary, what they contain, who is responsible for writing them, and how to evaluate whether a mandate is genuinely auditable.
Sep · 4 min read
The structural difference between programmatic guaranteed (parallel DSP and SSP records) and a bilateral deal record (one shared DealSheet held by both parties), and why this determines post-campaign reconciliation quality.
Sep · 4 min read
The shift from execution to governance at agency trading desks: what changes at the function level, the new capabilities desks need to build, and what clients should expect from a desk that has made the transition.
Sep · 4 min read
A definition of earned autonomy and the five stages an agent progresses through: observe, recommend, draft, human-approved action, and bounded automatic action. How progression works and why the framework matters for buyer governance.
Sep · 4 min read
The structural difference between agentic automation (executing within a predefined rule set) and agentic negotiation (reaching bilateral agreement with a counterparty agent), and why the distinction determines the governance model required.
Sep · 4 min read
A definition of marketplace neutrality in advertising: the three structural characteristics of a neutral marketplace, why neutrality is a design requirement rather than a marketing claim, and what it means for deal record credibility.
Sep · 4 min read
Publisher sell-side agent deployment patterns in 2026: the three core functions sell-side agents are performing, what publishers need before deployment, and how buyers should assess sell-side readiness.
Sep · 4 min read
The three requirements for publisher readiness: protocol-compliant integration, a sell-side mandate framework, and deal record infrastructure. The most common gaps and how to prioritise readiness work.
Sep · 8 min read
Why honest agents can produce dishonest market outcomes, and why no dashboard will tell you when it happens.
Sep · 4 min read
How agent-to-agent negotiation, protocol standardisation, and independent deal record infrastructure are changing the incentive structure for programmatic intermediaries.
Sep · 4 min read
The structural difference between a programmatic exchange and an agentic marketplace, and why the distinction determines what transparency and reconciliation a buyer can actually achieve.
Sep · 5 min read
The protocol, deal record, and mandate infrastructure that makes genuine agent-to-publisher negotiation possible, and the questions to ask publishers to find out if they are ready.
Sep · 5 min read
A map of buy-side platforms, sell-side platforms, dedicated agentic marketplaces, and infrastructure providers: what each category is actually deploying and what it means for buyers.
Sep · 4 min read
The near-term AI changes already live in programmatic, the structural changes still forming in the deal negotiation layer, and what the shift means for the media buyer's role.
Sep · 4 min read
The live environments for direct agent-to-agent buying in 2026, the coverage gaps buyers should plan for, and a practical strategy for running bilateral and auction-based buying in parallel.
Sep · 7 min read
A practical guide to what is actually available for bilateral agent-to-agent deal negotiation, the protocol requirements, integration steps, and current limitations.
Sep · 6 min read
A map of the protocol, marketplace, and verification layers being built in 2026, and what the gaps mean for buyers evaluating platforms now.
Sep · 7 min read
Six questions to assess whether a platform gives buyers genuine deal record access or just reporting against a record they cannot independently verify.
Sep · 7 min read
An evaluation framework built around governance architecture, mandate infrastructure, audit capability, and how platforms handle the progression of agent autonomy.
Sep · 6 min read
What documentation to request, how to run mandate-to-delivery reconciliation, and the questions that identify whether an agentic platform is actually auditable.
Sep · 7 min read
The standard case for agentic media buying focuses on what advertisers gain. Speed, scale, efficiency, consistent rate card application. The losses are described less often, and when they are, they tend to be framed as temporary inconveniences.
Sep · 8 min read
Brand safety in programmatic advertising has always been a two-layer problem. Understanding the distinction between context safety and creative safety is the difference between deploying agents correctly and discovering the gap after an incident.
Sep · 8 min read
The question of whether to use AI agents for advertising is now arriving at most large brand marketing teams. The answer depends on what the agent will be doing and what infrastructure is in place to constrain and audit it.
Sep · 7 min read
AI agents can now handle media buying tasks that previously required a full trading desk. The risks are not hypothetical: budget overruns, deal record divergence, brand safety failures, and accountability gaps are already occurring in early deploymen
Sep · 7 min read
AI agents are now making buying decisions across programmatic advertising at meaningful scale. The question "can agents be trusted with advertising budgets?" has a specific answer, and it is not yes or no.
Sep · 7 min read
Six specific risks in agentic media buying, each with named evidence and a practical mitigation: deal record divergence, data consent, creative mismatch, budget aggregation, liability allocation, and measurement reconciliation.
Sep · 6 min read
Agentic advertising is agents negotiating bilateral deal terms on behalf of humans. The shift from autonomy of execution to autonomy of agreement creates a record requirement, a liability question, and a measurement problem that programmatic never had.
Sep · 5 min read
An agent can negotiate the placement. It cannot render the creative or guarantee it meets spec. When a deal is agreed for an environment the available creative cannot serve, it under-delivers through no fault of the placement decision or the deal record.
Sep · 6 min read
Supply path optimisation has been a manual discipline for a decade. Agent-to-agent advertising changes the structural conditions that created the problem.
Sep · 5 min read
Third-party verification tools measure delivery against what was bought. In an agent-negotiated deal, the deal record may exist only in each agent's own system. Impression-level measurement is unaffected. Attribution and financial reconciliation are not.
Sep · 6 min read
Under GDPR, data processing requires a lawful basis established by a legal person. A software agent has no legal standing to establish one. First-party data cannot enter agent negotiation without prior explicit authorisation from a human data controller.
Sep · 5 min read
Agents can execute buying decisions faster than human traders. They cannot define the campaign mandate, configure their own constraints, or take accountability for outcomes. The agency's role is relocated to mandate design and governance.
Sep · 6 min read
Every carbon framework in advertising assumes a human reviewed the buy. When agents do the buying, that assumption disappears unless carbon weight is explicitly encoded as a hard constraint before the agent acts.
Sep · 6 min read
Programmatic automated the transaction inside human-set rules. Agentic advertising automates the agreement itself, changing what the infrastructure has to guarantee. Research across 90,202 simulated deals found 95.3% divergence under separate records.
Sep · 6 min read
Semantic drift is when two language models parse the same deal terms into different structured data. It is not detectable from inside either system: both sides agree, both records look clean, and they diverge on 95.3% of deal terms.
Sep · 6 min read
MFA detection happens post-buy today. In agentic advertising, the deal is agreed before the buy, moving quality evaluation to the point of negotiation or turning post-buy detection into an audit of a fait accompli.
Sep · 8 min read
What the first live transaction data tells us about how agent-to-agent media buying is actually developing.
Sep · 6 min read
Advertising's accountability framework assigns liability to the human who authorised the buy. When an agent makes the buy, the contract's signatory was not in the room. Most current ad contracts have no answer to that.
Sep · 8 min read
What a DealSheet is, why programmatic needs it, and how it becomes the active negotiation layer in agentic advertising.
Sep · 7 min read
Goal-oriented buying, direct deal negotiation, and the earned autonomy framework for brands deploying AI agents in media.
Sep · 7 min read
Who is accountable when an AI agent makes a bad media buy? The governance gap, earned autonomy, and deal-level audit trails.
Sep · 6 min read
Brand-side agentic deployment is bounded and instructive. What early adopters are finding about mandate design, data governance, and the infrastructure gap for direct publisher buying.
Sep · 5 min read
Agencies have been automating programmatic since it began. Agentic advertising changes the level of the buying stack that gets automated, and that changes the work agencies need to do.
Sep · 5 min read
A practical account of which tasks a media-buying agent executes today, where the hard limits are, and how the handover between agent and human should be designed.
Aug · 5 min read
Andrew Mole of pubX is the only agentic operator to answer the scale question with an integer: $3,000 a day gross. He also says most category announcements are the old programmatic pipes with a new word painted on them.
Aug · 5 min read
IAB Tech Lab's Shailley Singh: agentic advertising cannot rely on natural-language confirmation. Research across 90,202 simulated deals found 95.3% disagreement between separate agent records, falling to 0.19% with a shared record.
Aug · 5 min read
Both organisations building agentic advertising standards say the shared record is not yet in production at scale. The only operator willing to give a number is moving roughly $3,000 a day in gross media spend.
Aug · 9 min read
Autonomy in media buying is a permission earned through evidence, not a default setting. Here is why that matters.
Aug · 8 min read
A practical checklist for procurement and trading teams evaluating agentic platforms at scale.
Aug · 8 min read
How brand safety controls work when buying decisions happen faster than human review cycles.
Aug · 8 min read
The data on what agents can do now, what they cannot, and where the role of the human buyer is heading.
Aug · 8 min read
Why full audit trails and bilateral deal records change the transparency conversation in programmatic.
Aug · 8 min read
SPO principles still apply in agentic buying. What changes is the speed and granularity of the decisions.
Aug · 8 min read
A side-by-side look at three buying models: where each sits on cost, control, and transparency.
Aug · 8 min read
How to evaluate competing agentic platforms across the dimensions that matter to a trading team.
Aug · 9 min read
The questions that separate genuine agentic infrastructure from rebranded automation.
Aug · 8 min read
The structural difference between an agentic marketplace and the programmatic tools buyers already use.
Aug · 8 min read
Breaking down WPP's findings and what they signal for brands considering their first agentic pilot.
Aug · 10 min read
Plain definitions for the terms appearing in every agentic pitch deck, without the hype.
Aug · 15 min read
What agent-driven optimisation actually involves, decision by decision, and where human approval sits.
Aug · 13 min read
Not a rebrand of existing automation. The real differences in how deals are negotiated and governed.
Aug · 6 min read
A clear definition of agentic advertising, how it works, and why it represents a structural shift in media buying.
Aug · 9 min read
The sceptics have the data right. Ben Putley on why they've drawn the wrong conclusion from it.
Aug · 8 min read
When an agent makes the buying decisions, the post-campaign analysis splits into two distinct jobs that were always quietly running as one.
Jul · 7 min read
Why brand safety in agentic buying requires a separate agent with veto power running in parallel — not a filter applied after the decision.
Jul · 7 min read
How two agents that agreed on every deal term still walked away holding different books — and why the divergence compounds with every campaign.
Jul · 11 min read
What a real agentic marketplace needs beyond agent negotiation, and how a shared deal record handles price discovery, settlement, and compliance.
Jul · 3 min read
Why agentic buying absorbs the programmatic supply chain rather than eliminating it, and the one question to put to any vendor who shows you the three-box slide.
Jun · 7 min read
Why an independent evidence layer, separate from ad servers and measurement vendors, changes what trust means in programmatic.
May · 4 min read
How specialised agents optimising in isolation generate structural conflicts that no dashboard can reconcile — and what coordination actually requires.
May · 7 min read
The underlying questions behind common client queries about agentic advertising, and how to answer them with evidence.
May · 11 min read
A readiness assessment for brand and agency teams approaching their first agentic media buying pilot.
Jul · 7 min read
Going agentic is not a purchase decision. The two questions every buyer needs to separate before handing over a media mandate.
May · 5 min read
Ben Putley on why advertising's next shift is orchestration, not acceleration — and the eight-stage framework that shows where most of the industry is stalled.
