Canonry Blog
Research, tooling, and practical notes for AI search.
AI NYC is now Canonry
AI NYC has rebranded to Canonry. One name for the agency and the open-source agent platform, same team and same work.
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: the open-source AEO agent operating system
Canonry is the open-source, agent-first operating system for AEO. Run agents, orchestrate workflows, monitor citations, and automate everything across ChatGPT, Claude, and Gemini.
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 articleWe Open-Sourced Our AEO Audit Engine
Why Canonry published @ainyc/aeo-audit, what the 13-factor model measures, and what teams can learn from it.
Read the articleWhat Is Answer Engine Optimization?
Answer Engine Optimization (AEO) is the practice of optimizing your digital presence for AI-powered search. We break down the 13 factors that determine AI citation readiness, with real scoring data.
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