Per-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.
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
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.
Read all 6 architectures as text
Lean Fast-Start Architecture
Per Engine Diagnosis
- Manual Prompt Tests Across Engines
- Citation Log by Engine
- Identify Weakest Engine
Single Engine Pilot
- Which Engine Weak
- Reddit Focused Content Play
- Schema Markup Fix
- Browsing Optimization Change
Measure Impact
- Re Test Prompts on Target Engine
- Citation Rate Shift Logged
- Check Side Effects on Other Engines
Expand to Other Engines
- Document Working Tactic
- Apply Tactic Pattern to Next Engine
Cloud-Native / Managed Services Architecture
Managed Data Collection
- Managed Multi Engine Query Tool
- Citation Results per Engine API
- Engine Performance Warehouse
Per Engine Tactic Modules
- Perplexity Tactic Module
- AI Overviews Tactic Module
- ChatGPT Tactic Module
- Gemini and Claude Tactic Module
Managed Deployment
- CMS Publish via API
- CDN and Schema Delivery
Managed Reporting
- Per Engine Dashboard
- Automated Weekly Report
- Client Review Session
Event-Driven & Automation-First Architecture
Trigger Layer
- Scheduled Multi Engine Prompt Job
- Citation Results Captured
- Engine Below Target
Automated Tactic Dispatch
- Auto Trigger Forum Engagement Task
- Auto Trigger Schema Fix Task
- Auto Trigger Browsing Fix Task
- No Action Logged
Automated Deployment
- Webhook Publishes Fix
Automated Review Loop
- Scheduled Re Test Job
- Citation Delta Logged
- Improved on Target Engine
- Mark Engine Tactic as Validated
Enterprise-Grade & Compliance-Ready Architecture
Governed Diagnosis
- Full Multi Engine Audit
- Per Engine Risk and Gap Report
- Prioritized and Approved Engine List
Controlled Tactic Design
- Tactic Proposal per Engine
- Brand and Legal Review of Tactic
- Version Controlled Tactic Record
Approval Gate
- Stakeholder Sign Off
- Approved Tactic Record
Audited Rollout
- Deploy With Change Log Entry
- Immutable Audit Trail
- Role Based Access to Tactic Library
Resilience and Monitoring
- Redundant Monitoring Across Regions
- Compliance Review Cadence
AI-Augmented, Human-in-the-Loop Architecture
AI Diagnosis
- Multi Engine Prompt Results
- AI Analyzes Per Engine Gaps
- Ranked List of Engine Weaknesses
AI Tactic Generation
- LLM Proposes Engine Specific Tactic
- Confidence Score on Tactic
- Confidence Above Threshold
- Route to Strategist for Manual Design
Human Approval Gate
- Strategist Reviews Proposed Tactic
- Human Approves Tactic
- Approved Tactic
Deploy and Learn
- Deploy Tactic to Target Engine
- Track Citation Rate Shift
- Feed Result Back Into Tactic Model
Integration-Heavy / Ecosystem-Connected Architecture
Source Systems
- Analytics Warehouse
- Engine Performance Aggregator
- CRM Win Loss Data
- Support Ticket Themes
Engine Tactic Hub
- Per Engine Tactic Backlog
- Perplexity Community Tactics
- AI Overviews Schema Tactics
- ChatGPT Browsing Tactics
Publishing and Distribution
- CMS and Forum Channels
- Site Schema Layer
- Content Delivery Network
Downstream Systems
- Citation Tracking Warehouse
- BI Dashboard
- Slack Alert to Growth Team
More in Answer & Generative Engine Optimization (AEO/GEO)
- Multi-AI Engine Reconciliation & Retainer
An ongoing, monthly measurement-and-optimization cycle that reconciles divergent per-engine signals into one prioritized action list.
- AI Answer Quality & Accuracy Monitoring
Ongoing checks that AI engines are describing a brand accurately, flagging misrepresentation before it spreads.
- Community Authority Building (Reddit/Quora/HN)
ToS-compliant reputation building on the forums disproportionately cited by ChatGPT and Perplexity.
- AEO Monitoring, Alerting & Reporting Dashboard
Automated tracking of citation rate, share of voice, and sentiment with monthly client reporting.
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.