Overview
This batch covers how to make useful content easier for AI systems to retrieve, quote, and understand.
Use this page as the local table of contents for Articles 86-95. The main hub stays light, and each batch page keeps related articles together so readers can move through the series without scanning every link at once.
Articles
86. Getting Into AI Overviews How to improve eligibility for AI Overviews with useful content, technical SEO, evidence, and extractable answers. 87. Optimizing for ChatGPT How to make content discoverable, trustworthy, conversationally useful, and worth citing in ChatGPT-style search. 88. Optimizing for Perplexity How to create fresh, structured, source-backed pages that are useful for citation-grounded AI answers. 89. Optimizing for Claude How to publish balanced, verifiable, readable content that can support careful cited answers. 90. Optimizing for Gemini How to strengthen Google-visible content, entities, multimodal assets, source support, and helpful answers. 91. Building AI Citation Networks How to build source-worthy pages, original assets, links, mentions, and trust signals that support AI citations. 92. Creating AI-Friendly Content Structures How to organize answers, headings, entities, examples, schema, and links so content is easier to understand. 93. Building Machine-Readable Knowledge How to combine clear content, structured data, entities, links, feeds, and source pages into usable knowledge. 94. The Future of Retrieval-Augmented Generation How RAG will reward maintained knowledge, source quality, permissions, freshness, and verifiable context. 95. How AI Selects Sources How to separate known guidance from inference when studying retrieval, relevance, freshness, and citation behavior.How to Use This Batch
Read the articles in order when you are learning the system. Jump directly to a specific article when you are solving a workflow problem. Return to the main hub when you need to choose a different batch.