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Rivac AI Labs
Answer & Generative Engine Optimization (AEO/GEO)

Multi-AI Engine Reconciliation & Retainer

Once a brand is being measured and optimized across five or more AI engines, the signals start to conflict (a fix that helps citation rate on Perplexity might do nothing on Gemini) and the team needs one prioritized action list, not five disconnected reports. This retainer runs an ongoing, monthly measurement-and-optimization cycle that reconciles those divergent per-engine signals into a single, ranked set of next actions, so effort goes toward what moves the most engines rather than chasing every platform's individual quirks separately. It's for brands already running a mature AEO program who need ongoing coordination, not another one-off project. The result is one coherent monthly plan instead of a pile of engine-specific reports nobody has time to reconcile themselves.

This is a capability we deliver for you as a service, not a role we’re hiring for.

How We’d Approach This

A clear, staged plan, not a black box

These are the service-specific steps inside our six-step process.

  1. 1

    Pull the latest citation, share-of-voice, and sentiment data from every tracked engine and diagnose which discrepancies matter most.

  2. 2

    Pilot the top reconciled action for the month against a defined target and track it across all engines simultaneously.

  3. 3

    Review results with you each month in one consolidated readout rather than separate engine-by-engine reports.

  4. 4

    Build the next month's prioritized action list and keep the retainer operating on a continuous monthly cycle.

What You Get

Deliverables from this engagement

  • A monthly reconciled, cross-engine performance report
  • A single prioritized action list ranked by cross-engine impact
  • A running historical record of citation and share-of-voice trends
  • A standing monthly strategy session

Six Ways We Could Architect This

Different engagement, different build, pick the shape that fits

There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.

Read all 6 architectures as text

Lean Fast-Start Architecture

Monthly Data Pull

  • Pull Citation Data From Each Engine
  • Pull Share of Voice Data
  • Pull Sentiment Data

Manual Reconciliation

  • Consolidate Into One Spreadsheet
  • Flag Conflicting Signals
  • Rank Actions by Cross Engine Impact

Pilot Top Action

  • Select Top Ranked Action
  • Implement Pilot Change
  • Track Across All Engines

Monthly Review

  • Consolidated Readout Meeting
  • Client Sign Off on Priorities
  • Next Month Action List

Cloud-Native / Managed Services Architecture

Managed Data Ingestion

  • Citation Tracking SaaS API
  • Unified Metrics Warehouse
  • Share of Voice SaaS API
  • Sentiment Analysis SaaS API

Managed Reconciliation Engine

  • Cross Engine Correlation Model
  • Conflict Detection Rules
  • Prioritized Action Backlog

Managed Pilot Execution

  • Top Action Deployed via CMS or Schema Tool
  • Automated Cross Engine Re Test

Managed Monthly Reporting

  • Dashboard Auto Updated
  • Generated Monthly Report
  • Scheduled Client Readout

Event-Driven & Automation-First Architecture

Scheduled Trigger Layer

  • Monthly Cron Job Fires
  • Auto Pull All Engine Metrics

Automated Reconciliation

  • Auto Diff Against Prior Month
  • Conflicting Signal Detected
  • Auto Flag for Strategist Review
  • Auto Rank by Impact Score

Automated Action Rollout

  • Top Action Auto Assigned to Owner
  • Webhook Triggers Implementation Task
  • Automated Cross Engine Re Test Job

Automated Reporting Loop

  • Auto Generated Report Draft
  • Strategist Reviews Before Send
  • Report Auto Delivered to Client

Enterprise-Grade & Compliance-Ready Architecture

Governed Data Collection

  • Approved Data Sources per Engine
  • Data Quality Validation
  • Versioned Metrics Snapshot

Controlled Reconciliation

  • Cross Engine Conflict Analysis
  • Prioritized Action List Draft
  • Stakeholder Committee Review
  • Approved Monthly Action Plan

Audited Execution

  • Action Implemented With Change Log
  • Immutable Audit Trail Entry

Resilience and Reporting

  • Redundant Metrics Storage
  • Compliance Ready Monthly Report
  • Executive Steering Review

AI-Augmented, Human-in-the-Loop Architecture

Data Collection

  • Per Engine Citation and Sentiment Data
  • AI Reconciliation Model

AI Reconciliation Engine

  • AI Detects Conflicting Signals
  • AI Drafts Ranked Action List
  • Confidence Score per Recommendation
  • Confidence Above Threshold
  • Route to Strategist for Manual Ranking

Human Approval Gate

  • Strategist Reviews AI Ranked List
  • Human Approves Action List
  • Approved Monthly Action List

Execution and Learning

  • Actions Assigned and Implemented
  • Results Tracked Across Engines
  • Outcomes Fed Back Into AI Model

Integration-Heavy / Ecosystem-Connected Architecture

Client Systems

  • CRM Pipeline Data
  • Reconciliation Data Warehouse
  • Marketing Analytics Platform
  • Support Ticket System
  • Per Engine Citation Tools

Reconciliation Hub

  • Cross Engine Signal Correlation
  • Prioritized Action List

Execution Systems

  • CMS for Content Actions
  • Schema and Knowledge Graph Tool
  • Community Engagement Platform

Reporting and Comms

  • BI Dashboard
  • Slack or Email Monthly Digest
  • Client Steering Meeting

More in Answer & Generative Engine Optimization (AEO/GEO)

Ready to get started?

Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start, scoped small enough to prove itself before you commit to anything bigger.

Talk to us about Multi-AI Engine Reconciliation & Retainer

Most engagements like this start as a $500–$2,500 pilot, see full pricing.

Questions? Book a free call