Canonry Blog
Research, tooling, and practical notes for AI search.
Classifying AI Crawlers and User Fetches from Server Logs
ChatGPT and Claude can fetch a page through provider infrastructure without sending the user to it. Canonry separates these user fetches from crawlers, citations, and referrals.
Read the articleOne Site, Many Markets: How Canonry Models AI Visibility for Complex Portfolios
Canonry Custom turns one domain with many markets, brands, and buyer questions into a reviewable AI visibility measurement model.
Read the articleOpenAI API Web Search Can Now Use ChatGPT's Latest Instant Model
OpenAI's chat-latest model works with API web search and points to the latest Instant model used in ChatGPT, giving developers a closer comparison with the ChatGPT experience.
Read the articleAEO Does Not Need Another Rank Tracker
AI visibility monitoring can show where a brand appears. Canonry uses buyer research, cited sources, first-party data, site evidence, and repeated tests to decide what should change next.
Read the articleEvery AI Visibility Tool Is Lying to You
A software engineer's critique of AI visibility dashboards that sell precise rankings without showing distribution, variance, methodology, or raw evidence.
Read the articleBots Now Outnumber Humans on the Web's HTML Pages
Cloudflare Radar shows bots now make up 57.5% of HTML page requests, passing humans. The machines reading your pages pull raw HTML, not your rendered app.
Read the articleAI NYC is now Canonry
AI NYC has rebranded to Canonry. One name for agency products, Canonry Managed execution, and the open-source platform.
Read the articleWhy AUQ named Canonry as one of the best AI visibility tools
AUQ, a SaaS-focused SEO and AEO agency, named Canonry a top pick in their roundup of tools for measuring AI search visibility. What they liked, and what it surfaces in client work.
Read the articleWhy Google Analytics Misses AI Traffic (and How to Catch It)
Google Analytics can't see AI crawlers or assistants, because they never run JavaScript. Here's how to classify AI traffic from your own server logs instead.
Read the articleClaude Appends the Current Year to Some Web Searches
Canonry research shows Claude adds the current year to web search queries for commercial 'best X' questions, but not for advice or local service queries. What that means for your content.
Read the articleSchema Markup for AI Citations: The Complete Guide
A technical guide to JSON-LD structured data that helps AI models cite your business. Includes real audit data showing the score gap between cited and uncited sites.
Read the articleHow to Rank on ChatGPT in 2026
What it takes to get your business recommended by ChatGPT. Based on real citation monitoring data across 66 runs, not theory.
Read the articleHow to Get Your Business Cited by AI
A practical breakdown of what it takes for ChatGPT, Gemini, Claude, and Perplexity to mention your business by name. Backed by real citation monitoring data from canonry.
Read the articleCanonry: Agent First AEO + Web Analytics
Canonry is an agent first AEO + web analytics monitoring and execution platform. It is open source, self-hosted, and built for agent workflows.
Read the articleAI Search vs Google Search: What Actually Changed
How AI search engines differ from Google, what signals matter in both, and what our citation monitoring data shows about the split. Not theory. Data.
Read the articleWhat Is Answer Engine Optimization?
Answer Engine Optimization (AEO) is the practice of improving your digital presence for AI-powered search. We break down 16 onsite technical signals used in Canonry's audit.
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