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View all Meet the communityFictional scenarios, real protocol. See how agentic advertising plays out through the people building it.
Ren runs the business behind an 8-million-subscriber creator. Six revenue streams, six workflows, zero unified view — until he builds one storefront that sells them all.
Daniel's grocery chain has product data, foot traffic, and first-party purchase signals. Now buyer agents want access — and they're willing to pay for it in real time.
Tomoko is Head of Media at Nova Motors. She's about to walk into a boardroom and pitch the C-suite on replacing their programmatic stack with agents. She has one hour.
Official reports, white papers, and analysis from AgenticAdvertising.org.
AgenticAdvertising.org announces Benjamin Masse as Board President alongside a founding Board of Directors representing leaders across brands, agencies, publishers, and technology providers.
Ten leaders from across the ecosystem — buy-side, sell-side, verification, infrastructure, and creative — share where they already trust autonomous agents, where humans must stay in the loop, and what advertising looks like in 2036.
AAO President Benjamin Masse talks with ADZINE about the infrastructure imbalance holding back the open web, why agentic advertising is more than a buzzword, and how AdCP's governance model protects long-term equity across the ecosystem.
Nine leaders, nine seats in the ecosystem, one requirement: where human judgment stays non-negotiable no matter how far agentic advertising scales.
Today we're launching two Mastermind Councils — members-only communities of practice for leaders across brands, publishers, agencies, and tech platforms actively building the future of agentic marketing.
AAO is the trade organization defining the infrastructure for agentic advertising. Here's what membership actually gives you — and why joining now is different from joining later.
Ask ten people at Cannes what advertising looks like in a decade, and you'd expect ten different answers. We got something closer to one answer, told ten different ways.
An AI agent is about to spend $50,000 on advertising. No human reviewed the plan. This is the default state of agentic AI without governance built in. AAO was founded to answer that question clearly.
You've heard "protocol" a hundred times. Here's what it actually means, how we got from VAST to OpenRTB to AdCP, and why the missing layer was never operational — it was strategic.
Ten leaders. One question. Where do you trust an agent in your work today? Recorded on the Croisette at Cannes Lions 2026, the Agents of Change series captures what agentic advertising looks like in production — right now.
Access was the first milestone. Production readiness is the next. AdCP 3.1 is GA — here's what changes and why it matters for teams running real agentic advertising workflows.
AAO President Benjamin Masse joins the NDA Podcast at Cannes Lions 2026 to discuss embedded human judgment, why agentic is a business transformation not an IT project, and what it takes to build a standard without bias.
AI agent traffic grew nearly 8,000% year-over-year. At Cannes Lions, our panel asked the real question: if machines are making, moving, and buying much of what consumers see, how do we make sure it's still meant for humans?
AgenticAdvertising.org exists to make sure that as AI transforms advertising, humans stay in the decisions that matter. Here's the protocol, the organization, and the purpose behind it all.
If 2025 was the year the industry talked about AI, the 2026 Cannes Lions Festival of Creativity was the year agentic AI became the conversation. Here's where AAO showed up to make the case for embedded human judgment.
AAO is showing up in full force at Cannes Lions 2026 — here's everywhere you'll find us, from opening night cocktails to the Governance Breakfast Club.
AAO's inaugural Foundry summit brought together 150 of the industry's most senior practitioners alongside world-class authorities on creativity, commerce, content, and cognition — the moment an industry stopped debating whether agentic was coming and started deciding what it would become.
AgenticAdvertising.Org published Ad Context Protocol 3.0 — the clearest signal yet that agentic advertising has moved from experiment to infrastructure.
AgenticAdvertising.org is looking for a fractional Head of Membership & Growth (3 days/week) to turn early traction into a movement. If you're equal parts relationship builder and closer, this one's for you.
The Advertising Context Protocol (AdCP) is driving a fundamental architectural shift in marketing, moving the function's authority from transactional oversight to the orchestration of value-creating activities across the enterprise.
ads.txt made supply-chain transparency possible, but it was built for a flatter world. adagents.json can describe the actual commercial shape of modern media: direct paths, delegated paths, placements, collections, countries, time windows, and governed inventory groupings.
Programmatic advertising emerged to solve a specific challenge: determining which ad network would pay the most for a given impression. Yet premium publishers and brand advertisers face fundamentally different questions—ones more aligned with capacity-constrained markets like hotels or airlines. How should limited inventory or budget be allocated to maximize returns?
How horizontal middleware (AAIF) and vertical transaction protocols (AdCP, ACP) work together. A comprehensive guide to agentic AI standards and where to get involved.
Analysis and commentary from the people building agentic advertising.
An open letter to the incoming ANA CEO urging them to embrace open AI standards (AdCP) and help marketers reclaim control from ad-tech intermediaries.
Social, reliable reporting and your own data come to agentic buying with AdCP 3.2.
Agentic buying is happening now, and it is simple to execute. Lyft booked a Citi Bike audio campaign with iHeartMedia using AdCP, here is how they did it.
Close to 200 leaders from brands, agencies, media owners and technology partners came together for the first AgenticAdvertising.org community meetup in Asia, hosted by Adzymic, PubMatic and Scope3.
Vendor-neutral guide to AdCP, the Advertising Context Protocol, including agentic media workflows, MCP/A2A transport, protocol domains, AdCP 3.1, signals, governance, and implementation paths.
Live agentic advertising orchestration prototype showing connected workflows across signals, identity, governance, creative, buying, measurement, and clean rooms.
A framework for packaging buyer intent, semantic meaning, provenance, privacy policy, activation rules, and measurement logic into executable advertising signal containers.
A 10-slide publisher pitch deck for the DACH market explaining AdCP + GAM integration, TMP privacy architecture, GDPR benefits, and getting started steps.
Programmatic overfocuses on digital metrics; agentic ads should optimize reach, sales, and brand across all media using MMM and market-level planning.
As AI agents proliferate across buyers, publishers, and data providers, the advertising industry faces a coordination problem — and solving it requires protocol infrastructure, not just smarter individual systems.
AdCP and ARTF look like competing frameworks for agentic advertising — but they operate at entirely different layers of the stack. AdCP handles campaign-level strategy, negotiation, and measurement. ARTF optimizes the auction itself. Understanding the distinction matters.
Data products are platform-agnostic, but their delivery is not. How Garritz built a multi-platform AdCP sales agent architecture that separates product definition from distribution — and why it matters for any data company selling through multiple programmatic pipes.
AGI, AI and cognitive science: In his DMEXCO column, Evgeny Popov explains why true relevance matters more in marketing than reach.
AdCP complements OpenRTB by adding long-horizon reasoning and context: giving sovereign publishers parity with walled gardens without commoditization.
PubMatic CEO discusses why the industry needs shared standards for agentic AI. "AI is moving faster than any shift...it's really important the industry aligns around shared standards early."
New nonprofit to unify marketing-media ecosystem around standards and practices. Industry veterans Randall Rothenberg and Matthew Egol brought in as interim leaders.
The past month saw three of the most monumental events in the history of marketing. By Randall Rothenberg and Matthew Egol.
How do I advertise on this property? How do I know that I'm actually buying what I think I'm buying?
What happened this week in agentic advertising.
Optable launched its Agentic Marketplace, connecting buyer and seller AI agents to automate discovery, packaging, and purchasing of publisher inventory, aiming to bring programmatic scale to customized direct deals. Optable positions it as a way to cut ad tech fees (about 41% of US RTB display spend) by charging software fees rather than transaction percentages, though agentic buying remains a small market (about $100M projected for 2026).
StackAdapt's State of Programmatic Advertising 2027 report, based on a survey of 885 senior marketers plus platform data, finds that top performers are twice as likely to run three or more channels (45% vs. 21%), more likely to use connected customer data (58% vs. 44%), and report greater measurement confidence (69% vs. 52%). Fragmentation remains costly: 42% estimate over 20% of programmatic budget is wasted on siloed execution, and only 7% have a fully unified measurement strategy.
An ExchangeWire op-ed by Shirley Marschall argues that many people ('AI normies') can't find tasks worth delegating to personal AI agents like Meta's Muse and OpenAI's Dots, despite industry efforts to make them cute and approachable. She cites a tech writer's underwhelming test of four agents, the fact that dreaded tasks involve money, identity and offline accountability, and trust and privacy concerns, including claims that Muse activity can indirectly influence the ads users see.
Yelp's Fall Product Release (Oct 20, 2026) introduces Smart Lead Reply, a $30/month AI agent that answers and qualifies Request a Quote leads inside Yelp message threads for home services businesses. The 30+ feature release also adds OpenTable booking in Yelp Assistant, Check for Me (an AI agent that phones restaurants for wait times), activity-based personalization, intent-based creative for Yelp Audiences, and a Shopify Conversions app, while leaving accuracy, disclosure, and opt-out questions unanswered.
Sensor Tower estimates Meta's Muse AI agent app reached 10.2 million US downloads in 40 days, the 12th app to hit that mark since 2015, with 2.5 million US daily active users and 39% of Meta's October ad spend directed at it. Muse's retention beats ChatGPT, Grok and Claude at 7 and 14 days, but it decays far faster after day one, and the report's rival retention figures are internally inconsistent.
Yelp's Fall Product Release (30+ features) introduces Smart Lead Reply, a $30/month AI agent that answers and qualifies Request a Quote leads inside Yelp message threads, plus OpenTable booking in Yelp Assistant, a restaurant-calling AI agent (Check for Me), My Lists, intent-based creative for Yelp Audiences, and a Shopify Conversions app. The release gives no accuracy figures, opt-out controls, or disclosure details for its agents, even as services ad revenue, about 62% of Yelp's revenue, has stalled.
Adzymic launched AgenX Sales Agent on 20 October 2026, letting media owners expose premium display, video, DOOH, and high-impact inventory to AI buyer agents. It is built on the Prebid Sales Agent, runs on AdCP, and supports MCP and A2A, with Mediacorp, SPH Media, Stellar Ace, and The Smart Local Media Group already onboard via the Adzymic Premium Exchange (APX).
Personal AI agents like Meta's Muse and OpenAI's Dots operate on the web through two tiers: partner connectors (APIs, Shopify catalog) and a cloud-based Chromium browser that appears as the customer's own activity. Because they publish no user agent, robots.txt is useless, bot protection becomes the real control point, agents read pages through the accessibility tree (not structured data), and agent browsing or in-app checkouts either blend into human analytics or skip website analytics entirely.