Mobile advertising is one of the most technically demanding surfaces in digital advertising. Publishers manage dozens of ad networks through mediation SDKs, juggle waterfall configurations and price floors, run A/B experiments one painful code change at a time, and wait through app store review cycles just to adjust a floor price. Demand-side teams face a mirror image of that friction — integrating with each supply source through bespoke APIs, building one-off scripts to pull reporting, and manually stitching together campaign optimization. The problem is not a lack of data. The real-time signals are there. The problem is that acting on those signals at speed requires humans doing work that is fundamentally repetitive, rules-based, and perfectly suited to automation.
Besides, unlike browsers, mobile advertising has different operational details due to platform/OS requirements and mobile app monetization, e.g. rewarded videos.
AI agents can do this work. But only if your platform speaks a language they understand.
Introducing Agentic Mobile
Agentic Mobile is an open standard from IAB Tech Lab that gives AI agents a standardized interface to discover, configure, and optimize mobile in-app advertising workflows. Originally created by https://www.cloudx.ai/ – the AI-native ad platform and donated to IAB Tech Lab in June 2026.
It is now part of the AAMP (Agentic Ad Management Protocols) initiative alongside the broader agentic standards roadmap. The specification is open source, Apache 2.0 licensed, and purpose-built for the realities of mobile:
- SDK-based environments with initialization and configuration complexity
- Platform-specific privacy frameworks: ATT, SKAdNetwork
- Complex multi-network mediation with competing demand sources
- Gradual rollout cycles tied to app store releases
Agentic Mobile does not replace OpenRTB. It sits above it — orchestrating the supply and demand configuration that determines how auctions happen, who participates, and at what price.
Built for Mobile SDK and Mediation Companies
If you build or maintain a mobile ad SDK — whether you are a mediation platform, a demand-side SDK, or an independent publisher-side tool — Agentic Mobile is the interface layer that makes your platform AI-accessible without building it yourself.
Slash integration time by ~90% : When your SDK exposes an Agentic Mobile-conformant server, any AI agent that speaks MCP or A2A with standardized schemas and tolls as context, can integrate with it immediately. That means publishers can configure your SDK through natural language without your team writing custom integration code.
Turn manual optimization into autonomous operations: The biggest revenue leak in mobile mediation is lag time: price floors set at last quarter’s CPMs, waterfall positions that have not moved since a human last looked, A/B experiments that ran too long because nobody pulled results. An AI agent with Agentic Mobile access can monitor reporting continuously, identify the delta between floor price and clearing price, and update pricing rules in real time. The protocol’s experiment tooling lets agents run controlled tests with defined traffic splits and pull results without human intervention.
Interoperability across the agentic ecosystem: Agentic Mobile implements MCP and A2A protocols, the emerging standards for agnostic integration and agent-to-agent task delegation. This means a buyer agent running on one platform can hand off a task to a seller agent running on yours — with standardized task lifecycle states (submitted, working, completed, failed) and streaming support. This is the infrastructure that makes multi-agent advertising automation real, not theoretical.
Build once, work with any AI platform: Without a standard, every SDK company has to build bespoke integrations for every AI platform that wants to automate against their inventory. With Agentic Mobile, you implement the spec once. Claude, Gemini, GPT-based agents, and any A2A-compatible orchestrator get access through the same interface. IAB Tech Lab’s backing means this is built for longevity — the same way OpenRTB solved the bidding fragmentation problem, AAMP solves the agentic integration fragmentation problem.
Privacy-first by design: The specification was designed with platform-specific privacy constraints (e.g. ATT and SKAdNetwork) as well data privacy privacy laws in mind. The RTB-based schemas in the repository include regs, device, and geo objects that will continue to respect consumers’ privacy choices. Your privacy posture does not erode when you expose an Agentic Mobile interface — it is governed by your existing rules, surfaced to agents through structured, auditable tool calls rather than ad hoc API endpoints.
What the Protocol Does
Agentic Mobile provides three protocol access methods — MCP (Model Context Protocol, for direct AI assistant integration), A2A (Agent2Agent, for multi-agent workflows), and REST (planned) thus exposing a clean set of tools organized into three supply-side protocols in v1.
- Inventory — Manage apps, ad placements, network adapters, and SDK initialization configurations programmatically. An AI agent can query your entire placement hierarchy, identify underperforming configurations, and push updates without a human opening a dashboard.
- Pricing — Create and update floor price rules with geo and OS targeting, configure private marketplace deals, maintain block lists, and run A/B experiments. The schema is specific: a rule has a priority (1–10), a list of network adapters to call (Meta, Vungle, InMobi, etc.), a USD CPM floor, and optional country/OS targeting. An AI agent can read yesterday’s reporting, identify that your US iOS rewarded placements are clearing at 2x your current floor, and raise it — in seconds, not sprint cycles.
- Reporting — Pull summary and dimensional breakdowns of performance metrics through the same standardized interface. No more one-off reporting scripts per SDK.
Demand-side protocols (campaigns and creative management) are defined in the v2 roadmap and already have schema foundations in the repository.
Agentic Mobile is not a product — it is infrastructure for an industry that is about to change faster than any single company can adapt to alone. Several mobile companies have recently announced AI driven solutions for media buying and optimizations. What has been missing is the neutral, open standard that lets all of these systems talk to each other and to publishers without proprietary lock-in.
Agentic Mobile, under IAB Tech Lab’s AAMP umbrella, is that standard.
Shailley Singh
EVP, Product and COO
IAB Tech Lab