AI media buying platform

AI media buying platform coordinating campaign creation, creative production, measurement, and guarded optimization across paid channels with AI agents.

Context before actionCited thresholdsApprovals · rollback
Runs onMeta Ads logoMeta AdsGoogle Ads logoGoogle AdsTikTok Ads logoTikTok AdsSnapchat Ads logoSnapchat AdsMoloco Ads logoMoloco Ads
AI Media Buying Platform for Paid Growth Teams workflow in AdBid

What is an AI media buying platform?

An AI media buying platform is software where AI agents plan, execute and optimize campaigns from a brief while operators keep control.

  • Agents get targets, budgets, markets and approval rules before acting
  • Every recommendation cites the metrics and thresholds behind it
  • Deterministic metrics come first, AI interpretation on top
  • Stop, scale, reduce and wait all stay in the audit history
How it works

Execution and decision support, operators in control

Give agents the context they need before they act

Targets, budgets, markets, offers, creative constraints, measurement inputs.

  • Structured briefs instead of disconnected prompts.
  • Reviewable campaign and creative output.
  • Reusable decision policies and controls.
AI media buying workflow
Paid media evidence and decisions

Keep every recommendation tied to evidence

AdBid combines channel delivery with attribution, revenue, cohorts, and LTV where available.

  • Deterministic metrics before AI interpretation.
  • Stop, scale, reduce, or wait outcomes.
  • Operator approval and rollback.
Getting started

Get started in 5 steps

01Takes 1 minute

Connect the ad account

Meta, Google or TikTok. Attribution comes free with it.

02Takes 2 minutes

Set the target CPA and test structure

Pick the product, geos and one of six testing structures.

03Takes 1 minute

Let the agents build the tree

Campaigns, ad sets and ads with consistent naming and budgets.

04Takes 1 minute

Preview and approve

Every launch group waits for your review before anything goes live.

05Every 5 minutes

Agents run the loop

Stop, reduce, monitor and scale against live CPA, ROAS and revenue.

FAQ

Common questions about AI media buying platforms

Automation should operate only within configured permissions, thresholds, budget controls, approval rules, and kill switches.

Yes. Review, approval, logs, and rollback are core parts of the intended workflow.

AdBid gives agents the operating context before they act: targets, budgets, markets, offers, creative constraints, measurement inputs, and approval rules. Every recommendation cites the metrics and thresholds behind it and stays visible in the audit history.

Deterministic metrics come first; AI interpretation is layered on top of free attribution, revenue, cohorts, and predictive LTV.

Platform access is free, managed spend carries a 1% fee with no subscription, and AI generation is billed in tokens rather than a fixed plan.

When something in the operating context changes — a new target, a new market, a tighter constraint — agents work from the updated version rather than from the original assumption.

Where a signal is missing or a cohort is still immature, that gap belongs in the recommendation rather than behind a confident number.

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From the blog

Guides & resources

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