Watch a campaign get drafted — and stop at the approval gate.
A real session: one prompt, a full social + search plan (budget split, audiences, offers, assumptions) — created in draft. No spend until you explicitly launch.
Paid media execution without the manual drag.
One execution layer for enterprise B2B paid media. Type the outcome, let the AI agents build campaigns, audiences, creative, and budgets, review every object before launch, then run self-optimizing campaigns across every channel toward pipeline and revenue.
See Metadata in action.
A short look at how the platform turns a prompt into reviewed, launch-ready paid media across every channel.
metadata.io
Why paid media
Your most scalable source of pipeline — and it keeps getting harder to run.
Paid media is the one lever where you can correlate spend to revenue, and the only one you can turn on today. But CAC keeps climbing, the channel count keeps exploding, and the chain from spend to pipeline is the question every board is asking.
Problem 01
Rising CAC.
The status quo is a slow bleed — every quarter you spend more for the same outcome. Diminishing returns instead of economies of scale.
Problem 02
Ever-increasing complexity.
Not just complex — accelerating. New channels, new ad types, new vendors. ChatGPT ads didn’t exist last year.
Martech vendors2,000 → 14,000
LinkedIn ad types2 → 8
Newest channelChatGPT ads
Problem 03
Attribution gaps.
Your board sees spend. Your team sees clicks. Nobody can show the chain in between — and that’s the question every CEO is asking.
The agents
Seven AI specialists run the work. Your team keeps launch control.
Tell Metadata the outcome you need. Seven AI agents prepare audiences, creative, campaigns, budgets, experiments, and reporting — and your team reviews every object before a dollar moves.
Mei plans, Max builds audiences, Zoe creates, Eva shapes offers, Ann assembles campaigns, Tom reads performance, and Raj runs operations — each working in your account as a reviewable teammate.
What you get.
Everything we said was broken — reversed.
✗ Rising CAC
→ CAC that compounds down.
Audiences refresh, bids arbitrage across channels, the curve bends the other way.
✗ Ever-increasing complexity
→ One solution runs every channel.
New channel launches? It’s in the loop the day we integrate it — not after a re-org.
✗ Attribution gaps
→ Every dollar tied to pipeline.
Spend → channel → campaign → opportunity. The chain your board keeps asking for.
Real data · top golden customers
Every account moves to the optimum zone.
Each dot = one customerFirst 90 daysCAC ↓ · Pipeline ↑
See it in the product.
The agents build in the open. Every audience, ad, campaign, and experiment is a reviewable object in the SaaS surface before and after launch.
Campaigns
Multi-channel campaign automation.
One campaign structure spans LinkedIn, Google, Meta, Reddit, X, Bing, and more. The agents build the native ad structure for each channel; your team sees status, channels, and budgets in one view.
Native structures per channel
Budgets, pacing & exclusions
Draft until your team approves
Experiments
Experimentation at scale.
The platform has run 263,554 experiments. It searches audience, creative, offer, bid, and budget permutations, scales the winners, and stops the losers automatically.
Continuous autonomous testing
Keyword & experiment controls
Optimized toward pipeline
Audiences
Audiences from a 500M+ profile graph.
Firmographic, technographic, Bombora and G2 intent, retargeting, native LinkedIn and Meta criteria, and CSV uploads — plus suppression so spend never lands on the wrong accounts.
15+ consolidated data sources
Reach estimates up front
Exclusions & matched audiences
Audiences
Audience quality is where paid media starts.
A 500M+ profile targeting graph reaches the right accounts and people wherever they are — B2B buyers on B2C inventory like Instagram, Facebook, and X, technographic and intent signals on LinkedIn, and retargeting on Google — with firmographic, CRM, and suppression context layered on top so spend never lands on the wrong accounts.
Firmographic fit
Company size, industry, geography, segment, revenue bands, growth signals, and account list membership.
Technographic relevance
Technology stacks, adjacent platforms, competitive installs, and integration context.
Buyer intent
Category, competitor, and topic-level research signals from Bombora and G2 that help prioritize in-market accounts.
CRM and lifecycle context
Opportunities, stages, customers, open pipeline, closed lost, nurture, and sales-owned accounts.
Retargeting and engagement
Website visits, content consumption, demo behavior, video engagement, and page-level context.
Suppression and controls
Exclude customers, active opportunities, competitors, disqualified accounts, and compliance-sensitive segments.
Insights
See exactly which accounts are ready to buy.
Most of your best pipeline is invisible right now. The accounts most likely to buy are visiting your site, seeing your ads, and getting touched by outbound — all without ever filling out a form. Insights deanonymizes website traffic, maps it to LinkedIn engagement and CRM activity, and surfaces the accounts that are actively in-market, so your team acts on real buying signals instead of guesswork.
Visitor identification
Deanonymize site traffic and match visitors to the companies in your target ICPs — see which accounts visited and what content they reviewed.
Dynamic audience enrollment
Automatically enroll accounts into paid media campaigns based on real-time engagement signals, with no manual list building.
Revenue attribution
Connect brand awareness and retargeting spend directly to sourced and influenced pipeline and closed revenue.
Account journey mapping
Map every account interaction across paid channels, website, and CRM into one chronological timeline for sales and marketing.
Fully operable headlessly through the Metadata MCP server.
Every capability above is exposed as a tool on the Metadata MCP server, 141 tools in all. Any MCP client, including Claude Code and Hermes, can run paid media end to end: build audiences, generate creative, assemble campaigns, set budgets, launch, optimize, and report, all programmatically. The SaaS interface and the API operate on the same objects, so a human can review in the platform exactly what an agent built over MCP.
The moat
Why you can't build this yourself.
Not with ChatGPT. Not with an agency. Not in-house. Three things take a decade and a billion dollars in spend to build.
Proprietary audience data
15+ consolidated sources, personal emails, mobile IDs, B2B-to-B2C bridging, and 10 years of campaign outcomes on a 500M+ profile graph. You can't buy this dataset — it doesn't exist anywhere else.
AI bid & budget optimization
Thousands of decisions a day across every campaign, 24/7 — kills the ~90% of experiments that underperform and doubles down on what works. No human team can match the cadence.
Battle-tested at scale
A decade in production. $1B+ managed, 7 patents, hardened by the world's best brands. A vibe-coded agent gives you slop, security risk, and no track record.
For over a decade, the best companies have trusted Metadata with $1B+ in ad spend.
263,554
Experiments run
84,737
Campaigns launched
$1B+
Ad spend managed
200+
B2B SaaS customers
7
Patents
Frequently asked questions
What is the Metadata platform?
One execution layer for B2B paid media. Type the outcome you need, the AI agents build campaigns, audiences, creative, and budgets, you review every object before launch, and campaigns then self-optimize across every channel toward pipeline and revenue.
How many AI agents run the work?
Seven: Mei, Zoe, Max, Eva, Ann, Tom, and Raj, covering strategy, creative, audiences, offers, campaign management, analytics, and operations.
What can the agents actually do?
Across 141 MCP tools they take real actions in your stack: build audiences, generate creative, create offers, assemble and launch campaigns, optimize bids and budgets, and report on pipeline.
Does my team keep control of budgets and launches?
Yes. Every audience, creative, budget, and campaign is reviewable and approvable before a dollar moves.