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Paid Advertising Automation

AI-managed paid advertising —
with guardrails you control

Guardrail-driven AI agents manage your Google Ads, Meta, and paid search in real time — budget allocation, bid management, and performance decisions made continuously, inside the constraints your team sets. This pillar covers how it works, what you control, and where to go deeper.

Get your free Readiness Score → See the PPC Intelligence Sprint →

Guardrail setup — what you control

Before the agent touches anything, you define the constraints. These are not defaults — they're decisions your team makes, documents, and can change at any time.

guardrail daily_spend_cap = $2,400
guardrail max_bid_change_pct = 20
guardrail cpa_pause_threshold = $65
guardrail brand_exclusions = [list: 47 terms]
guardrail min_campaign_budget = $200
guardrail reallocation_window_hours = 72
# Agent operates freely within these constraints — nothing outside them

Why 72-hour windows matter

Reallocation decisions based on less than 72 hours of data produce false signals. A campaign that looks underperforming at 24 hours may simply be in a low-conversion window. The agent evaluates rolling performance windows — not yesterday's numbers.

Read the full budget allocation guide →

Built for agencies managing multiple accounts

The platform is multi-tenant by design. Each client gets their own guardrail configuration, their own agent log, and their own performance dashboard. You white-label the interface. Your clients see your brand — the AI works underneath.

Multi-tenant

One platform, unlimited clients

Deploy per-client guardrails, view cross-account performance, and manage everything from a single dashboard — without credentials leaving your control.

White-label

Your brand, your dashboard

The client-facing interface runs under your agency brand. They see your reporting — not ours.

Agency automation details →

Go deeper

Not sure where your account stands?

The Readiness Score grades your paid-media foundation in four minutes — no login, no obligation — so you know what to fix before the agent touches anything.

Take the Readiness Score →

More from the library

More on governed paid-media automation — the optimization models, the guardrails, and the competitive landscape.

Rule-based vs. autonomous PPC Why bounded autonomy wins Spend caps & budget guardrails The limits to set before AI moves budget Best autonomous ad platforms 2026 The category, mapped by execution depth AI bid & budget tools, compared Ranked by how much runs unattended Best Trapica alternatives 2026 The field, and how to choose Predictive vs. agentic AI Forecasting tools vs. agents that act
Browse all 80 articles →