GTM Hub
What is metadata.io?
Autonomous B2B advertising platform with AI agents that automate paid campaign execution, audience creation, creative generation, and optimization across 12 channels including LinkedIn, Google Ads, Meta, Microsoft Ads, Reddit, X, ChatGPT, CTV, OOH, and audio.
Categories
metadata.io news
New Metadata.io Report Finds AI Fluency Driving up to 3x Higher Pay
Metadata releases research on AI proficiency impact on GTM career advancement
Source: PR Newswire ↗Metadata.io Launches MetadataONE and F1 Academy Sponsorship
Launch of MetadataONE (agentic GTM platform connecting directly with ChatGPT and LLMs via MCP)
Source: PR Newswire ↗Metadata Secures $50M Investment for Multi-Channel ABM Automation
Series C funding round securing $50 million in capital to accelerate platform capabilities and market expansion
Source: Signalbase ↗Metadata Grows to $12M ARR Using B2B Growth Playbooks
CEO Gil Allouche discusses growth from $2M to $12M ARR and survived cash crisis (reached $25 in bank) before stabilizing
Source: Latka ↗
Key features
7 Specialized AI Agents
Creative Agent (generates on-brand ad creatives), Content Agent (identifies assets from site), Bid Agent (optimizes bidding 50x daily), Enrichment Agent (validates leads from 10+ sources), Targeting Agent (builds audiences), Optimization Agent (runs multivariate experiments), Analyst Agent (provides performance insights)
Audience Creation
Build firmographic, technographic, intent-based (Bombora, G2), retargeting, CSV import, and LinkedIn/Meta native audiences in one platform
Creative & Content Generation
Generates ad creatives, landing pages, and commercials with brand kit enforcement across multiple formats (image, video, carousel, document, text)
Multi-Channel Campaign Execution
Programmatically set up, run, and optimize campaigns across 12 channels with real-time budget management and daily optimization
Revenue Attribution
Track campaigns from impression to closed-won deal with multi-touch attribution, AI-weighted models, real-time ROAS dashboards, and pipeline velocity metrics
MCP Integration
160 MCP tools for programmatic access; any MCP-compatible LLM (Claude, etc.) can build audiences, generate creatives, create campaigns, manage budgets, and pull analytics
Experiment Engine
Multivariate testing with automatic budget reallocation based on cost-per-opportunity and pipeline contribution
CRM & Channel Integrations
Bidirectional sync with Salesforce and HubSpot; connects to 20+ integrations including Bombora, Snowflake, and ad channels
metadata.io pricing
No public pricing list. Pricing scoped per team based on: channels under management, managed ad spend amount, and execution scope (audiences only vs. full autonomous execution). Requires demo for proposal.
| Plan | Price | What's included |
|---|---|---|
| Growth | $3,950/month + $2,500 onboarding | Up to $25k/month managed ad spend |
| Scale | $5,650/month + $2,500 onboarding | Up to $40k/month managed ad spend |
| Enterprise | Custom pricing | Custom channels, higher ad spend, full agentic workflow |
Pros & cons
Pros
- + Consolidates audiences, creative, campaigns, and optimization in one platform — eliminates point-tool assembly
- + Real-time revenue-based optimization vs. clicks/impressions
- + AI agents automate execution 24/7, freeing team for strategy and creativity
- + 160 MCP tools enable any LLM to call API directly — not a chatbot wrapper
- + Multi-touch attribution connects ad spend to closed-won deals
- + Accounts for account-level engagement (company view/engagement without form fill)
- + High customer satisfaction: 9.5/10 quality of support, 9.2/10 lead intelligence on G2
- + ~1 month setup vs. 2-3 months for competitors
Cons
- − No public pricing — requires demo and custom proposal
- − Pricing depends on managed ad spend, creating variable costs
- − Setup takes ~1 month; not plug-and-play
- − MCP integration requires LLM technical setup
- − Complex platform with steep learning curve for team onboarding
- − Custom pricing tiers not transparent
Who is metadata.io best for?
- • B2B demand generation teams running multi-channel campaigns
- • Marketing organizations wanting to optimize revenue instead of clicks
- • Teams with $25k-$40k+ monthly ad spend
- • Companies using Salesforce or HubSpot for revenue tracking
- • Teams leveraging AI agents (Claude, etc.) for campaign orchestration
- • Account-based marketing (ABM) strategies
