OllaGraph Blog
Technical guides, architecture patterns, and engineering insights on web scraping, AI search intelligence, RAG vector pipelines, and crawl governance.
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 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.
SEOSEO Analysis API: Turn Crawl Data Into Prioritized Fixes
SEO Analysis API pipelines turn raw crawl data, DOM snapshots, and rendering telemetry into prioritized engineering tasks. Score technical debt with Ollagraph.
SEOSEO Audit for JavaScript-Heavy Sites: Blindspots
SEO audit for JavaScript-heavy sites reveals why static crawlers miss hydrated DOM content, dynamic links, and schema. Learn how to audit modern web apps.
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.
GuidesWebsite Security Scorecard API: How to Quantify Website Risk at Scale
Quantify external website risk at scale with automated security audits across SSL/TLS, HTTP headers, DNSSEC, SRI, and cookies via 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.
GuidesWebsite Security Audit API: How to Scan Thousands of Websites at Scale
Scan thousands of websites for TLS configurations, security headers, subresource integrity, and RFC 9116 security.txt with a unified security audit API.
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.
SEOBroken Links Checker API: Detect and Fix 404s at Scale
Detect and remediate broken links and 404 errors across enterprise domains with an automated broken links checker API and CI/CD workflows.
SEOMeta Audit API for Title Tags, Descriptions, and Open Graph
Automate meta tag audits across thousands of URLs. Detect title truncation, description issues, and missing Open Graph cards before deployments.
SEORedirect Chain Audit: How to Find and Fix Loops
Identify and resolve redirect chains, circular loops, and crawl budget bottlenecks with an automated redirect audit API and edge rule tests.
SEOSchema Markup Validator API: Validate JSON-LD at Scale
Automate JSON-LD validation across thousands of pages, catch schema errors before deployment, and protect rich results at scale.
SEOSEO Audit API vs Manual Audits: Cost, Speed, Accuracy
We benchmarked API-driven and manual SEO audits across 500 sites to compare cost, speed, and accuracy, and show when each wins.
SEOSEO Audit for AI Crawlers: The Six-Layer Framework
Move beyond legacy SEO audits. Discover how to inspect rendering budgets, crawler token limits, and machine extractability for AI search engines.
SEORun a Full Website SEO Audit in One API Call
Audit meta tags, links, redirects, schema, readability, and mixed content with one Ollagraph API call. Get structured findings in seconds.
GuidesBrowser Automation APIs: The Complete Developer Guide
Use managed browsers to render dynamic JavaScript, handle persistent sessions, and extract web data without managing headless infrastructure.
GuidesBrowser Automation Observability at Scale
Monitor headless browser fleets with metrics, traces, logs, and alerts. Catch leaks and silent failures before they become outages.
GuidesBrowser Session Management API for Persistent Automation
Persistent browser contexts keep logins and storage alive across steps. They cut cold starts, lower cost, and make multi-step automation reliable.
GuidesCompany Intelligence Pipelines for Reliable Firmographic Data
Turn public websites into validated company profiles. Extract firmographics, contacts, and tech stack with schema gates and enrichment.
GuidesHeadless Browser API: Automate Browsers at Scale
Run rendered browser jobs without managing browser farms. Learn how Ollagraph uses CDP, sessions, and stealth controls to scale reliably.
GuidesHeadless Chrome as a Service: Build vs Buy Browser Infrastructure
The spreadsheet favors building. Reality favors reliability. Learn when to build, when to buy, and how to migrate browser infrastructure without downtime.
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.
GuidesRendering Before Extraction: Reliable Web Data Pipelines
Rendering is the failure-prone layer between fetch and extraction. Learn readiness checks, browser pooling, and quality signals that prevent silent bad data.
GuidesStatic Fetch vs Headless Browser: How to Choose
Choose static fetch for server-rendered HTML and a browser when JavaScript builds the page. A hybrid flow keeps scraping fast and reliable.
GuidesDocument-to-JSON Extraction for Typed Web Records
Learn how to turn unstructured web pages and PDFs into validated, strongly-typed JSON records. Eliminate schema drift and power production AI pipelines.
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.
GuidesHow to Extract Structured Data from JavaScript Apps
Use state sniffing, network capture, and schema checks to pull clean records from modern JavaScript apps without brittle scraping.
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.
GuidesStructured Data Extraction API for Validated JSON
Turn messy web pages into validated JSON with schema contracts, evidence packets, and quality gates. Built for trust in downstream systems.
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.
GuidesWhy Schema-Driven Extraction Beats CSS Selectors
CSS selectors break when layouts shift. Schema-driven extraction validates every record, reduces silent corruption, and makes failures debuggable.
RAGDocument-to-Markdown Pipelines for AI Knowledge Bases
Build reliable batch conversion pipelines with idempotency, validation gates, and quarantine/replay to keep AI knowledge bases clean.
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.
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.
RAGJavaScript Rendering to Deterministic Markdown for AI Content
Render dynamic pages only when content is ready, then convert them into stable Markdown for reliable AI ingestion. Fail closed when signals are weak.
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.
RAGPDF to Markdown for RAG: Preserve Tables and Structure
Convert PDFs into AI-ready Markdown that preserves tables, headings, reading order, and citations for stronger RAG retrieval.
RAGXLSX to Markdown for RAG: A Production Conversion Blueprint
Convert Excel workbooks into AI-ready Markdown with deterministic normalization, validation gates, and replay-safe processing for RAG pipelines.