Rivac LabsPer-Engine Optimization (ChatGPT, Perplexity, Gemini, Claude, AI Overviews)
ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews each retrieve, rank, and cite sources differently — Perplexity leans heavily on real-time web results and forum content, AI Overviews pulls from traditional search signals, and ChatGPT's browsing behavior differs again — so a single generic AEO approach inevitably underperforms on at least some of them. This service tunes strategy and technical implementation to the specific retrieval quirks of each individual engine, rather than treating AI search as one undifferentiated channel. It's for brands who've done general AEO work and plateaued, or who notice they're strong on one engine and invisible on another. The result is deliberate, engine-specific tuning instead of a one-size-fits-all approach that only really works for one of them.
How We’d Approach This
A clear, staged plan — not a black box
- 1
Diagnose citation performance engine by engine to identify exactly which engines the brand is winning and losing on, and why.
- 2
Pilot an engine-specific tactic — a Reddit-focused play for Perplexity, an AI-Overview-targeted schema fix, a browsing-optimization change for ChatGPT — on the weakest engine.
- 3
Review the citation-rate shift on that specific engine before extending tactics to the others.
- 4
Build out tuned tactics for each remaining engine and monitor per-engine performance as each platform's retrieval behavior evolves.
What You Get
Deliverables from this engagement
- A per-engine citation-performance breakdown
- Engine-specific tactical recommendations and implementations
- A before/after report for each engine addressed
- An ongoing per-engine monitoring view
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 Per-Engine Optimization (ChatGPT, Perplexity, Gemini, Claude, AI Overviews)Most engagements like this start as a $500–$2,500 pilot — see full pricing.