Overview

Metadata.io is an execution layer for enterprise B2B paid media that uses seven AI specialists (Mei, Max, Zoe, Eva, Ann, Tom, Raj) to autonomously handle audience building, campaign execution, creative generation, experiment management, and pipeline-level reporting across LinkedIn, Google, Meta, X, Microsoft Advertising, Reddit, and ChatGPT Ads. The platform connects to CRM, marketing automation, and data warehouse systems, exposing 160 MCP tools for programmatic campaign control. Marketing leaders use a prompt-first interface while technical teams connect agents via MCP. The platform has managed over $1B in ad spend, runs 263,554 experiments, and holds 6 patents. Every campaign object is reviewable before launch, with budgets, approvals, and brand control remaining with the human team.

Key Features

Seven AI Specialists

Mei plans, Max builds audiences, Zoe creates, Eva shapes offers, Ann assembles campaigns, Tom reads performance, and Raj runs operations — each working as a reviewable teammate in your account.

Multi-Channel Paid Media Execution

Runs campaigns across LinkedIn, Google, Meta, X, Microsoft Advertising, Reddit, and ChatGPT Ads with native ad structures per channel, unified budgets, pacing, and exclusions.

Autonomous Experimentation & Optimization

Platform has run 263,554 experiments searching audience, creative, offer, bid, and budget permutations, automatically scaling winners and stopping losers 24/7.

MCP Server with 160 Tools

Exposes every workflow as documented MCP tools for audiences, campaigns, creatives, budgets, analytics, and approvals — compatible with Claude Code, Hermes, OpenClaw, and custom agents.

Closed-Loop Revenue Attribution

Connects to CRM (Salesforce, HubSpot, Pipedrive) and marketing automation to sync leads, contacts, opportunities, and pipeline data, tying ad spend to revenue outcomes.

Human Launch Control

Every campaign object (audiences, creative, budgets, channel structure) is reviewable in the SaaS UI before any dollar moves; team holds budgets, approvals, and brand control.

Insights & Deanonymization

Maps website traffic to LinkedIn engagement and CRM activity to surface in-market accounts without form fills, using technology stacks, competitive installs, and integration context.

Pros & Strengths

✓

Autonomous AI Execution at Scale: Seven AI agents handle thousands of optimization decisions daily across all channels, a cadence no human team can match, with $1B+ managed spend and 6 patents backing the engine.

✓

Unified Multi-Channel Platform: Single execution layer for LinkedIn, Google, Meta, X, Microsoft, Reddit, and ChatGPT Ads with native structures per channel and unified reporting.

✓

Programmatic Control via MCP: 160 documented MCP tools allow agents (Claude Code, Hermes, custom) to run full campaign lifecycles headlessly, with the same objects reviewable in the SaaS UI.

✓

Closed-Loop Revenue Tracking: Deep CRM integrations (Salesforce, HubSpot, Pipedrive) tie ad spend directly to pipeline and revenue, enabling optimization toward business outcomes.

✓

Fast Deployment: Launches in days vs. months for intelligence platforms; AI agents handle execution 24/7 while team retains approval authority.

Cons & Tradeoffs

⚠

Custom Pricing Only: No public price grid; pricing scoped to channels, spend under management, and agent work delegated, requiring a working session and demo for a proposal.

⚠

Enterprise-Focused: Built for enterprise B2B paid media teams; may be overkill for smaller businesses or startups with limited ad spend.

⚠

Complex Agent Ecosystem: Seven specialized agents and 160 MCP tools represent a significant learning curve for teams new to agentic workflows.

⚠

Limited to Paid Media Execution: Does not replace intelligence platforms (6sense, Demandbase, ZoomInfo) for intent data or contact identification; focuses solely on campaign execution.

Known Limitations

• Limited to B2B marketing use cases, not suitable for consumer-focused campaigns.

• Requires existing paid media budget and CRM/marketing automation stack for full value.

• Pricing transparency only after scoping session; no self-serve trial or free plan.

• Agent-driven workflows may require organizational change management for teams used to manual campaign building.

Pricing & Plans

Model: custom

Pricing is scoped to your GTM: channels under management, ad spend the agents operate, and which workflow parts (audiences, creative, experiments, reporting) your team keeps vs. delegates. No public price grid; book a demo with a live campaign brief to receive a written proposal for your exact setup.

✓ Free Plan ✓ Free Trial

Pricing verified: 2026-08-23

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