Most ad tools fire rules and hope. CallRadius runs a patent-pending closed-loop engine (U.S. App. No. 64/063,539) where every engine feeds every other — and where the system has to prove each decision helps before it's allowed to keep making it.
Signals flow in, engines score them, a risk-tiered decision layer decides what the system may do alone — and every outcome flows back as new input.
Every rule engine faces conflicting signals — one rule says "grow, demand is up," another says "pull back, ROI is slipping." Naive engines average them and oscillate.
CallRadius ranks them instead. Protective rules (overspend, poor ROI, low lead quality) pass through a boolean gate that can suppress growth rules entirely — so the system never grows spend into a losing situation.
Lead quality isn't just reported — it's closed back into the budget. Confidence-gated triage reads every lead; only classifications above an ≥85% confidence threshold auto-submit a dispute to Google.
The resulting credit rate then feeds the budget quality gate: markets and hours that generate disputable junk get less spend, and the clean ones get more. Quality and budget become one signal.
Every action is typed by confidence × reversibility. The riskier and less reversible a move, the more human sign-off it needs. Automation is earned, not assumed.
Pace a budget within guardrails, reply to a new lead, request a review. Done instantly, logged, and scored later.
Large budget swings or structural changes are queued for your LSA manager to approve before they go live.
Ambiguous leads and "two probes came back dark" situations stop and page a human — because sometimes the problem isn't budget.
CallRadius keeps an outcomes ledger: every budget change it makes is scored about a week later — win, loss, or neutral — against real leads and booked revenue.
When a rule starts losing more than it wins, the system automatically demotes it to advisory until its record recovers. The AI has to keep proving each decision helps to keep making it.
On Local Service Ads, budget buys eligibility — there's a competitive threshold where your ads appear, and drifting below it can make them vanish. The engine actively probes up and down to discover that line, waits 48 hours to confirm each move on real data, and locks your budget just above it.
If two probes come back "dark," it stops and alerts a human — because sometimes the problem isn't budget, it's responsiveness or reviews.
CallRadius is protected by a U.S. patent application (No. 64/063,539) covering a hierarchical rule-suppression budget engine with an AI-driven lead-quality feedback loop. The status is patent pending.
Protective budget rules automatically override growth rules through a boolean gate — solving the conflicting-signals problem that makes other engines oscillate.
Confidence-gated lead triage submits feedback to Google, and the resulting credit rate feeds back into the budget quality gate.
Every action is typed by confidence × reversibility — auto-execute, approval-required, or alert-only — so the system knows what it's allowed to do alone.
Open the interactive demo, or run the free LSA score to see where your account stands today.