AI Search Architecture

PRESENCE

How Each AI Platform Retrieves, Evaluates, and Cites Content Differently

📖 8 lessons⏱ 110 min🎯 8 quizzes📡 Module 1 of 8🤖 AI Lessons

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What you will learn

Inside ChatGPT Search: Bing Index, Pre-Training Bias, and Citation Selection

Perplexity's Retrieval Engine: Real-Time Indexing and Citation Mechanics

Google AI Mode and AI Overviews: The Gemini Retrieval Pipeline

Optimizing for Claude, Gemini Standalone, and Grok

RAG Systems Decoded: Chunking, Reranking, and Context Windows

How AI Search Indexes Differ from Google's Index

+2 more topics

Deep dive into ChatGPT's dual retrieval system, why brand authority outweighs backlinks, and the JavaScript rendering gap.

How Perplexity's proprietary index differs from Bing, why it favors Reddit and forum content, mandatory inline citations.

How Gemini synthesizes from Google's index, AI Overviews vs AI Mode, source card mechanics.

Claude's cautious citation approach, Gemini's Knowledge Graph dependency, Grok's X/Twitter integration.

Technical deep dive into document chunking, vector similarity, reranking models, context window limits.

Bing index vs Google index vs proprietary indexes, which index your content must be in for each platform.

Cross-platform citation data showing massive divergence, multi-platform citation strategy.

Hands-on audit running 25 queries across ChatGPT, Perplexity, AI Overviews, Claude, Gemini, Grok.

Beginner Intermediate Advanced

Citation Engineering