AI Search Articles
AI Search & agent retrieval — autonomous search agents, RAG pipelines, headless DOM rendering, and synthetic SERPs.
Search Result Source Extraction API: Citation Pipelines
Extract clean text passages with byte offsets, eliminate LLM hallucinations, bypass bot walls, and build citation-ready RAG pipelines with Ollagraph.
AI SearchAI Crawler User-Agent Analysis: Bot Parity API
Detect differential rendering, status code divergence, and WAF blocks across AI bots. Audit multi-bot response parity at scale with Ollagraph.
AI SearchAI 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.
RAGData Privacy Audit for AI: What GDPR/CCPA Mean for Web Scraping Pipelines
Scraping web data for AI and RAG does not bypass GDPR or CCPA. Learn how to audit pipelines, scrub PII, enforce provenance, and build compliant scrapers.
AEOBuilding a Machine-Readable Website: The Technical Specification for AI Bots
Technical specification for AI-ready sites: robots.txt, semantic HTML, entity contracts, and markdown mirrors to maximize crawler extraction and citations.
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.
AEOAI Crawler Regression Testing: How to Detect AEO Problems After Website Deployments
Learn how AI crawler regression testing detects AEO problems after website deployments across WAF, JavaScript rendering, and AI search visibility.
Robots.txtHow to Audit robots.txt for AI Crawlers Without Blocking Search Engines
Learn how to audit robots.txt for AI crawlers without blocking Google or Bing. Understand RFC 9309, AI bots, WAF rules, and crawl testing.
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.
AEOAEO Audit Tool: What Should an Answer Engine Optimization Audit Actually Measure?
Learn how to build and deploy an Answer Engine Optimization (AEO) audit tool measuring semantic chunking, RAG similarity, and entity graph alignment.
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.
GuidesIntegrating MCP Web Tools into LangGraph Autonomous Multi-Agent Workflows
Connect LangGraph multi-agent swarms to Ollagraph's Model Context Protocol (MCP) server for stateful, real-time web search, JS scraping, and RAG retrieval.
GuidesHow to Connect Cursor IDE to a Web Search MCP Server Using Ollagraph
Configure Cursor IDE with Ollagraph's Model Context Protocol (MCP) server for live multi-engine web search, real-time scraping, and RAG context injection.
GuidesLLM-Powered Browser Automation: How Agents Control the Web
How AI agents use browser automation to replace brittle selectors with semantic control. Learn when it works, where it fails, and how to ship it safely.
GuidesReliable Web Data Pipelines: From Crawl to Validated JSON
Learn how to build reliable web data pipelines from crawling through validated JSON with quality gates, observability, and self-healing retries.
GuidesE-commerce Data Extraction for Variants, Prices, and Stock
Learn how to extract structured product data, variants, and stock status from e-commerce sites at scale with schema validation and JS rendering.
AI SearchEntity Extraction for AI Agents: Turn Web Pages into Facts
Extract companies, people, and products from web pages with entity resolution and disambiguation so AI agents can act on clean, typed data.
GuidesEvidence-Based Data Extraction: Provenance for Every Field
Learn how to implement field-level provenance tracking in data extraction pipelines with JSON schemas, confidence scoring, and quality gates.
RAGStructured Data Extraction for RAG: Web Pages to Queryable Facts
Learn how structured data extraction turns web pages into queryable entities and relationships, enabling precise, citeable answers for RAG.
GuidesHow to Extract Tables from Any Website to JSON
Turn HTML and CSS-based tables into clean JSON, see where DIY parsing breaks, and learn when Ollagraph's API is the safer choice.