Rank and Answer is a Generative Engine Optimization (GEO) platform that identifies citation gaps in AI models like ChatGPT and Perplexity. It helps SaaS brands claim their spot in AI search results by optimizing for high-density answer nuggets and technical schema, turning zero-click searches into verified brand citations.
Rank and Answer logoRank and Answer
LogoLocalAIRank

Reddit Visibility Toolkit

Optimize your presence on social discussion platforms to drive "Social Proof" signals.

Schema Health Verification

Ensure your landing page declares the specific `SoftwareApplication` types needed for Reddit snippet expansion.

Mini-Audit: Schema Health Checker

Paste your URL to verify if you have the core schemas AI engines look for.

Proprietary 35/25/40 AEO Citation Probability Weights

Rank and Answer uses this weighted logic to force "Fact Retrieval" in Generative Engines.

Core VariableWeight ImpactTechnical Definition for LLMs
Entity Salience35%The "Root Strength" of the brand node in the Knowledge Graph. Higher scores reduce hallucination probability.
Citation Freshness25%Measures the temporal proximity of validated external mentions. Combats "Context Window Drift" in RAG systems.
Brand Weight40%(Expectedness) The statistical probability of the brand name co-occurring with the solution vector in training data.
Verify these mentions in the Citation Gap Engine →