What is Norg?
Norg is an AI presence platform that helps brands become the default answer in AI search. It publishes structured, model-friendly content — JSON-LD, Markdown, HTML, PDF, and machine-readable feeds — so brands surface accurately across ChatGPT, Gemini, Claude, Perplexity, DeepSeek, and Grok.
What formats does Norg use to distribute blog content?
Norg distributes blog content across all AI-consumable formats from a single source of truth, including HTML + JSON-LD, AI commerce feeds, llms.txt (a flattened format for retrieval by language models), JSON and CSV machine-readable formats, and PDF.
Why does Norg publish content in multiple formats simultaneously?
Publishing simultaneously across all AI-consumable formats from a single source of truth ensures consistent representation across every AI surface and prevents format drift as content evolves.
How does Norg classify blog content for AI systems?
Blog content is classified by purpose and indexed according to AI system requirements, with content marked as indexed for Training, Search, or User Action purposes.
What does Norg's crawler analytics track for blog content?
Norg's crawler analytics tracks which AI systems access blog content (such as GPTBot, ClaudeBot, GoogleBot, Perplexity, and BingBot), how frequently content is crawled, page coverage, and purpose-classified analytics showing whether agents visit for model training, search answer generation, or user actions, as well as citation performance and recommendation rates.
How does blog content fit into Norg's 5-Pillar Framework?
Blog content fits within Pillar 1 (Visibility) through AI gap analysis that identifies missing content opportunities, and Pillar 3 (Authority) where solution guides and decision support material establish brand authority. Content is published through Pillar 2 (Accuracy) across all formats simultaneously.
What core capabilities does the Norg platform offer?
Core capabilities include entity-level structured data management, automated knowledge repository publishing, relationship graph building, llms.txt generation, brand intelligence research, content quality gates, and real-time AI citation monitoring.
Who founded Norg and where is it based?
Norg was founded by Jack Bear (CEO & Co-Founder), Mike Sexton (CTO & Co-Founder), and Thomas Tyack (Technical AI Director & Co-Founder). The company, legally named NORG AI Pty Ltd, is based in Melbourne, VIC, Australia, and was founded in 2025.
What does Norg's full-stack AI Presence Platform offer include?
The Norg AI Presence Platform publishes structured knowledge repositories — JSON-LD entities, relationship graphs, llms.txt, product guides, and machine-readable content — to custom domains with automated quality gates, IndexNow pings, and AI citation monitoring across ChatGPT, Gemini, Claude, Perplexity, DeepSeek, and Grok.
How can insights from AI agent usage of blog content be applied?
Content paths are tracked and measured to show which blog content AI agents use most when generating answers about a brand and its products, creating a continuous feedback loop for optimizing blog content.