How it works

Remove fear.
Build trust.

Full transparency into how decisions get made. Every action logged. Every recommendation yours to approve or reject.

01
Onboarding

We audit your existing accounts, define performance goals, and set decision thresholds. You stay in control from day one.

02
Agents go to work

Daily keyword monitoring, bid analysis, audience tracking, and performance flags. No waiting for a monthly report.

03
You approve

Every recommendation reaches you before anything changes. No surprises. No black box.

04
Results compound

Agents learn from approved decisions over time. Strategy sharpens. Performance compounds.

The agents

Built to specialize.

SM
Sarah Mitchell
Google Ads Performance Analyst
Analyzes
Keyword performance and quality scores
Search term reports and negative keywords
Bid efficiency by match type
Competitor positioning and auction insights
Outputs
Daily performance flags
Keyword add/remove recommendations
Bid adjustment proposals
Weekly performance digest
KV
Kyra Vermeer
Operations Director
Analyzes
Cross-channel performance signals
Workflow bottlenecks and task prioritization
Client goal alignment
Agent output quality
Outputs
Prioritized recommendation queue
Weekly summary for client review
Escalation flags on critical issues
Cross-channel strategic direction
AC
Alex Carter
Risk & QA Manager
Analyzes
Budget pacing and anomalies
Change history and account health
Recommendation risk scoring
Quality assurance across all proposals
Outputs
Risk-rated recommendation approvals
Budget alert flags
QA sign-off on agent outputs
Anomaly detection reports
SG
Sage Moreno
Strategy & Learning Lead
Analyzes
Historical performance patterns
Decision outcomes and learnings
Seasonal and market trend signals
Long-term growth opportunities
Outputs
Strategic direction proposals
Campaign evolution roadmaps
Learning summaries from approved actions
Quarterly opportunity reports
Technology

Built on industry-leading AI.

axrey integrates directly with the Google Ads API and Meta Ads API to pull live account data. Every agent decision is logged with a timestamp, a rationale, and a reference to the data that triggered it.

There is no black box. You can trace every recommendation back to the exact signal that generated it.