AI Insights & Agents

Two brains. One verdict. Six agents that never sleep.

Zobrx orchestrates Groq's sub-second Llama inference with Gemini 2.5 Pro's deep reasoning — and runs six specialized agents that watch your accounts 24/7. Every recommendation is debated, cited, and auditable.

Groq · Llama 3.1 70B
Pattern detection, <400ms
Gemini 2.5 Pro
Strategic reasoning, citations
Models per decision
<1s
Avg. response
100%
Decisions cited
0
Hallucinated metrics
Specialized agents

Six agents. Each obsessed with one job.

Dual-AI isn't a chatbot — it's an operations layer. Each agent runs autonomously inside your account, with full guardrails, rollback, and audit logs.

Creative Strategy Agent

Watches every ad 24/7. Detects fatigue 3 days before CPA spikes. Drafts refreshes in your brand voice.

"Ad set 'Q2_US_Summer_Reel' CTR down 18% over 4 days. I've drafted 3 new hooks using your Playbook-v3 pattern."

Revenue Pacing Agent

EOD and EOM revenue forecast against target. Alerts before you miss, not after.

"June pacing 94% to target with 6 days left. Shifting $8,200 from underperforming PMax to LinkedIn Playbook-v3 recovers pace to 102%."

Anomaly Agent

Spots spend spikes, conversion drops, tracking breaks and bot traffic. Explains root cause.

"Meta CPA +220% in last 6h. Root cause: iOS CAPI mismatch after your server-side GTM update at 10:42 UTC. Here's the fix."

Win-back Agent

Segments dormant customers, writes re-activation copy per segment, runs WhatsApp + email touchpoints.

"Found 2,400 customers with 90+ days inactivity and prior AOV >₹3,000. Launched 3-touch win-back — projected ₹18L recovery."

Festival Prep Agent (India)

Plans Diwali / Holi / Dussehra / Rakhi calendars across WhatsApp, Meta, Google and Amazon.in.

"Diwali is 62 days out. I've modeled last year's lift, drafted a 4-week creative ramp, and pre-approved WhatsApp templates."

Budget Pacing Agent

Reallocates spend across channels daily within guardrails you define. Full audit log of every move.

"Daily check: +$2,400 to LinkedIn (ROAS 4.2×), -$2,400 from Google Display (ROAS 0.8×). Net 0. Approved under auto-limit."
The recommendation engine

Five layers debating the same question.

Platform recommendations alone are self-serving. Rule engines alone are rigid. LLMs alone hallucinate. Zobrx stacks all five layers so every recommendation has converging evidence — and so you always see why.

L1
Platform-native

Google / Meta / Amazon recommendations deduplicated and prioritized.

L2
Rule-based

Threshold + policy heuristics from 14 years of paid-media ops playbooks.

L3
Statistical models

MMM, MTA, anomaly detection and geo-lift analyses running nightly.

L4
Contextual bandit

Thompson sampling picks explore-vs-exploit for budget allocation.

L5
LLM narrative

Groq + Gemini translate layers 1–4 into a written recommendation with cited data.

Why teams pick Zobrx AI

Honest, auditable, boringly reliable

Debate-based recommendations

Both models weigh in. Disagreement is surfaced so you can arbitrate.

Every answer is cited

Direct links back to the rows, queries and time windows. No black box.

Zero hallucinated metrics

Numbers come from deterministic SQL. LLMs narrate; they don't invent.

Marketing Maturity Score

0–100 across 8 dimensions. Track your org's growth, quarter over quarter.

BYOK + Private AI

Enterprise: pin to Azure OpenAI, Bedrock, Vertex — or deploy Zobrx AI in your own cloud.

Audit-logged every action

Who approved what, what rolled back, on which data — with tamper-evident logs.

How it works

From connected to confident in minutes

01

Connect data

Paid, organic, conversational and CRM data ingested into one identity graph.

02

Debate

Five recommendation layers converge; Groq + Gemini produce a scored verdict.

03

Act

Approve, tweak or auto-apply. Every decision is audit-logged with rollback.

FAQ

Questions, answered

Yes. Enterprise plans let you pin workloads to Groq, Gemini, or a BYO endpoint — you control the routing.
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