AI that asks first. Or AI that acts. You decide — per account, per decision, per dollar.
Every PPC PROs account runs on the same intelligence. The difference is authority. Assisted proposes; you approve. Powered acts autonomously inside guardrails you set. Most clients start Assisted, watch the agent earn its track record, and graduate one decision type at a time.
Autonomy is earned, per decision type, with receipts
Let's name the real objection: “I'm not handing my ad budget to a robot.” Good. You shouldn't — not on day one. Trust in automation isn't a belief, it's a track record.
Google's own automation asks you to trust a black box whose incentives favor Google. Agencies ask you to trust a monthly PDF. We ask you to trust nothing — just watch the proposals, judge them, and expand the agent's authority only where it's proven itself in your account.
AI Assisted
A sharp junior specialist who works 24/7, never forgets to check the search-terms report, and writes you a two-line memo before touching anything.
Observe
Agents monitor your accounts continuously — search terms, auction dynamics, budget pacing, tracking health, competitor movement, creative fatigue.
Propose
When action is warranted, the agent drafts it and sends it to your review queue. Every proposal carries four things: what it wants to do, why, predicted impact (in dollars where possible), and reversibility.
You decide
Approve, reject, or edit — on mobile or desktop. Most reviews take under a minute because the explanation is written for humans, not analysts.
The agent learns
Every approval and rejection is a training signal. Reject three geo-expansion proposals and the agent stops proposing them — and tells you it noticed.
New-to-PPC advertisers, anyone burned by “set and forget” automation, agencies reviewing changes before clients see them, and the first 30–60 days of any account.
AI Powered
A senior specialist with standing instructions and a strict mandate — fast on the routine, deferential on the consequential.
Set guardrails once
Spend ceilings, protected campaigns, decision types the agent may execute, and the thresholds above which it must still ask.
The agent acts inside them
Negatives within your taxonomy, bid adjustments within your ceilings, placement exclusions, pacing corrections — executed the moment the data justifies them, including at 3 a.m. when a broken feed starts torching your Shopping budget.
Everything is logged
Every action lands in your audit trail with the same what / why / impact / reversibility record — written before execution, not reconstructed after.
Escalation is automatic
Anything novel, high-stakes, or outside the guardrails routes to you as a proposal, exactly like Assisted mode. Autonomy has edges, and the edges are yours.
Accounts past their first month, advertisers who've watched the proposal track record and like the hit rate, and anyone whose real constraint is time.
What always escalates to you
The blast-radius rule: the bigger the potential downside, the more human the decision. No exceptions, no fine print.
- !Budget increases beyond your set ceiling
- !Campaign goal or bidding-strategy changes (these reset Google's learning phase)
- !Pausing or enabling entire campaigns
- !New campaign or channel launches
- !Anything touching brand terms
- !Any action the agent's confidence score rates below threshold
- !Any action that can't be cleanly reversed
Why this gets better every month
Your decisions don't vanish into a feedback void — they shape the agent.
Account-level learning
Your approvals and rejections tune what the agent proposes — your risk tolerance, your seasonal patterns, your definition of a qualified lead.
Platform-level learning
Across all accounts, anonymized decision patterns teach our models where waste hides and which interventions work. Every account makes the platform smarter — a flywheel single tools and agencies can't replicate.
Visible progress
Your dashboard shows the agent's proposal acceptance rate over time. When it climbs past 90%, that's your signal — backed by your own judgments — that Powered mode is safe to expand.
The fine print, in large print
Hard spend ceilings
Limits the agent cannot cross, period.
One-click rollback
On every reversible action; irreversible actions always escalate.
Full audit trail
Every observation, proposal, action, and outcome — timestamped and exportable. Your account, your records.
No auto-accepted Google recs
Google's auto-apply is off. Their recommendations enter our review queue like any other proposal — judged against your interest, not Google's.
You own everything
Your account, your data, your access. Leave anytime; everything the agent built stays with you.
Which mode is right for you?
| You are… | Start with | Because |
|---|---|---|
| New to Google Ads | Assisted | The proposals are an education — each teaches you how the auction works, with your own data. |
| A small business owner short on time | Assisted → Powered in ~30 days | Build trust on the reviews, then delegate the routine. |
| An early adopter who's used AI tools | Powered with tight ceilings | You know the drill; set guardrails and watch the audit trail. |
| An agency or consultant | Assisted with client-visible queue | The review flow doubles as client transparency. |
Both modes, same price philosophy: flat, spend-independent pricing. We don't earn more when you spend more — so the agent optimizes your profit, not your budget. It's the incentive alignment nobody else in this market can claim.
Straight answers
Can I mix modes?+
Yes — per decision type. Many clients run Powered on negative keywords and pacing, Assisted on everything else.
What happens if the agent makes a mistake?+
Reversible actions roll back in one click, and the mistake becomes a training signal. Irreversible actions were never autonomous in the first place — that's the blast-radius rule.
Will it work with my existing account history?+
Yes. The agent starts by learning your account — it reads before it writes. Expect proposals within the first 48 hours, not sweeping changes.
Is my data used to help my competitors?+
Platform-level learning uses anonymized, aggregated patterns. Your search terms, customer lists, and performance data are never exposed to another account.
Do I need to understand PPC to use Assisted mode?+
No — but you'll accidentally learn it. Every proposal explains itself in plain language. Clients tell us the review queue taught them more in a month than a year of blog posts.