Citations Articles
Citations & verification — Citation Readiness Scoring, epistemic authority analysis, and techniques to maximize LLM source citations.
AI Search Source Selection: How Engines Pick Sources
AI search source selection determines which pages ChatGPT and Perplexity cite. Learn the retrieval, passage scoring, and grounding mechanics with Ollagraph.
AI SearchSnippet Candidate Extraction API: How to Find and Prioritize Pages for AI Search
Discover, audit, score, and prioritize web pages for AI search engines, position-zero answers, and LLM citations with the Snippet Candidate Extraction API.
AEOFeatured Snippet Opportunity API: How to Find and Prioritize Position-Zero Opportunities
Featured Snippet Opportunity API enables engineering teams to programmatically find, score, and capture Position-Zero search results using Ollagraph.
AI SearchWhy Your Best SEO Content Is Invisible to AI Search Engines — And How to Fix It
Ranking #1 on Google doesn’t mean ChatGPT or Perplexity will cite you. Learn why SEO-winning pages stay invisible to AI search—and how to fix extractability.
AI SearchHow LLMs Index the Web: From Crawler Fetch Queues to Vectorized Knowledge Graphs
Learn the complete indexing pipeline used by LLM crawlers: URL queues, content extraction, chunking, embedding, and vectorized retrieval graphs.
AEOStructured Data for AI Overviews: Which Schema Signals Matter Most?
Learn which Schema.org types and properties reduce ambiguity and improve citation confidence in Google AI Overviews, and which waste crawl budget.
AEOE-E-A-T for AI Search: How Experience and Expertise Influence Citations
Understand how generative answer engines evaluate E-E-A-T signals, authoritativeness, and expert consensus to award citations in AI Search.
RAGAnswer-First Content Audit: Can AI Extract a Direct Answer From Your Page?
Learn how to run an answer-first content audit testing whether ChatGPT, Perplexity, and Claude can extract direct, quotable answers from your pages.
CitationsCitation Readiness Score: How to Build a Reliable Scoring Model
Learn how to engineer and calculate a Citation Readiness Score (CRS) model to optimize web content for LLM retrieval, RAG grounding, and AI search engines.
AI SearchAI Search Visibility Score: A Practical Framework for Measuring Brand Presence
Master the AI Search Visibility Score (AISVS) framework. Quantify and optimize brand presence across ChatGPT, Perplexity, Claude, and Gemini.
AI SearchHow to Measure AI Search Visibility Across ChatGPT, Gemini, Claude & Perplexity (2026 Guide)
Build an automated pipeline to benchmark and audit brand visibility, citation rates, and share of voice across ChatGPT, Perplexity, Claude, and Gemini.
RAGMarkdown Conversion Quality for AI: Accuracy, Structure, Retrieval
Discover how high-fidelity Markdown conversion preserves headings, tables, and provenance to maximize AI retrieval accuracy and keep citations verifiable.
RAGStructured Markdown for AI Agents: Better Retrieval and Citations
Preserve headings, lists, tables, and code blocks to stabilize chunks, improve retrieval accuracy, and keep citations deterministic.
RAGHTML to Markdown Boilerplate Removal for Better RAG Retrieval
Strip boilerplate before Markdown conversion to improve RAG retrieval and citations. Deterministic extraction keeps chunks stable.
RAGHTML to Markdown for AI With Links and Source Attribution
Convert HTML into LLM-ready Markdown without losing headings, links, or provenance. Keep citations traceable to the source page.
RAGHow Markdown Formatting Improves RAG Retrieval
Proper Markdown preserves hierarchy, lists, tables, and code so chunks stay stable and retrieval improves. Use a formatting contract before embedding.
RAGOCR to Markdown for RAG: Turn Scans into Citable Evidence
Turn scanned PDFs and images into citation-ready Markdown for RAG with layout recovery, provenance anchors, and reliable evaluation.