Triển khai kỹ thuật
llms.txt, ai.txt, dữ liệu có cấu trúc và các thông số kỹ thuật khác cho sự sẵn sàng tìm kiếm AI.
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404 Page AI Crawler Handling: Avoiding Citation Loss During Migrations
Migration playbook for keeping AI citations during URL changes — hard 404 vs soft 404, 410 Gone, redirect chains, sitemap cleanup, and refetch monitoring.
Accept-Encoding (Brotli, Gzip) for AI Crawlers
Specification for serving Brotli, gzip, and zstd to AI crawlers via Accept-Encoding negotiation: which bots support which codecs, fallback rules, and Vary handling.
Accept-Language Handling for AI Crawlers
Specification for handling Accept-Language with AI crawlers: avoid auto-redirects, expose hreflang, prefer separate locale URLs, and preserve citation eligibility.
Accept-Language and AI Language Detection
Specification for Accept-Language negotiation and html lang attribution that lets AI crawlers detect locale correctly without cross-locale citation leaks.
AggregateRating Schema for AI Citations
AggregateRating schema specification for AI citations: required fields, decimal handling, parent-type pairings (Product, Course, SoftwareApplication, LocalBusiness), Google policy violations.
AI Card Thumbnail Image Spec: Aspect Ratio, Dimensions, and Citation-Safe Patterns
Specification for AI card thumbnails: aspect ratio, minimum dimensions, file format, alt text, and ImageObject schema patterns that AI search engines extract for rich answer cards.
AI Citation Tracking with Server Log Analysis: A Technical Guide
AI citation tracking with server log analysis: identify GPTBot, PerplexityBot, ClaudeBot hits, link them to citations, and measure crawl-to-cite latency.
AI Crawl Budget: Controlling What LLMs Index
AI crawl budget guide: prioritize high-value pages, reduce noise, and steer GPTBot, ClaudeBot, PerplexityBot, and Google-Extended toward citation-worthy content.
AI Crawl Signals: How AI Discovers Content
Technical reference for the signals AI systems use to discover, access, and prioritize web content — including sitemaps, llms.txt, robots.txt, structured data, and HTTP headers.
AI Crawler Allowlist vs Blocklist Strategy
Compare allowlist vs blocklist strategies for AI crawlers across robots.txt, llms.txt, and CDN edge: trade-offs, decision matrix, and migration path.
AI Crawler Content Negotiation Specification
HTTP content negotiation (Accept, Accept-Language, Vary) for AI crawlers — serve LLM-friendly variants without cloaking penalties or cache poisoning.
AI Crawler Cost Attribution Framework: Allocating Compute and Bandwidth Across LLM Bots
Attribute infrastructure cost to GPTBot, ClaudeBot, and other LLM crawlers, then allocate allow, throttle, charge, or block budgets by citation ROI.