Rivac LabsMulti-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.
How We’d Approach This
A clear, staged plan — not a black box
- 1
Pull the latest citation, share-of-voice, and sentiment data from every tracked engine and diagnose which discrepancies matter most.
- 2
Pilot the top reconciled action for the month against a defined target and track it across all engines simultaneously.
- 3
Review results with you each month in one consolidated readout rather than separate engine-by-engine reports.
- 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.
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