Social media ban on Facebook, Instagram, WhatsApp, YouTube, and more. Learn the history, reasons, economic impact, political risks, public reactions, and future scenarios of this digital clampdown.
llms.txt for AI Search: What It Is and Why It Matters
In the rapidly evolving landscape of artificial intelligence (AI) and search engine optimization (SEO), a new standard has emerged to bridge the gap between websites and large language models (LLMs): llms.txt. Proposed by Jeremy Howard of Answer.AI in September 2024, llms.txt is a Markdown-based file designed to make website content more accessible and interpretable for AI systems like ChatGPT, Claude, and Perplexity. Unlike traditional SEO tools such as robots.txt or sitemap.xml, llms.txt is tailored specifically for LLMs, guiding them to high-value, inference-friendly content to enhance visibility in AI-driven search results.
Internal and external linking are cornerstones of Search Engine Optimization (SEO), shaping a website’s structure, authority, and discoverability. Internal linking connects pages within the same domain, guiding users and crawlers through a site’s content hierarchy. External linking, encompassing both outbound links to other sites and inbound backlinks, establishes credibility and relevance.
The robots.txt file is a pivotal component in the arsenal of webmasters and developers striving to optimize their websites for search engine performance. Residing in the root directory of a website, this plain-text file adheres to the Robots Exclusion Protocol (REP), a standard that governs how web crawlers interact with a site.
An XML sitemap is a critical tool in the arsenal of technical SEO, serving as a structured file that lists a website’s URLs along with metadata to guide search engine crawlers, such as Googlebot, in discovering and indexing content efficiently.
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