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Canonry

AI

Tracks how often AI tools like ChatGPT, Claude, and Perplexity mention or cite your brand, then fixes the gaps through AEO strategy and content work.

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This is a preview only. Canonry will be published on October 16, 2026.

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  • Stars


    168+3.7%
  • Last commit


    6 hours ago
  • Repository age


    7 months
  • Version


    v6.0.0
  • License


    MIT
  • Self-hosted


    Yes
  • Repository


    canonry/canonry

Canonry is an AI visibility tracking platform built for businesses, marketing teams, and agencies that want to show up when AI tools answer buyer questions. It combines measurement with hands-on work: tracking which AI tools mention your brand, which competitors they name instead, and then addressing the gaps through Answer Engine Optimization (AEO).

The platform monitors ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok, Meta AI, and DeepSeek. Scheduled checks record whether each tool names your brand, cites your site, or leaves you out entirely, alongside the competitors it surfaces. Server logs track AI bot visits and traffic from people who follow AI-generated links, giving you both answer-level and traffic-level data.

Canonry offers four distinct products:

  • Canonry Custom tracks AI search results for each location or market under a single domain, useful for franchise teams and multi-market brands.
  • Canonry Embedded lets agencies add a client's AI visibility report to their existing portal via a single iframe, with no SDK or private keys required.
  • White-label AEO puts Canonry's team behind an agency's brand, handling research, fixes, tracking, and client reports while the agency owns the client relationship.
  • Canonry Managed is a fully done-for-you service for businesses and marketing teams, covering AEO strategy, content, structured data, business detail consistency, and reporting.

The AEO work itself goes beyond adding schema markup. It covers structured data (JSON-LD for business info, services, and FAQs), consistent business details across third-party sources like Google Business Profile and Wikipedia, bot access configuration, and content that directly answers buyer questions. Canonry also offers a free site check covering 16 on-site factors.

For agencies running paid search, Canonry Ads (private beta) surfaces buyer questions, competing brands AI names, and ideas for ChatGPT Ads tests, while leaving strategy and spend decisions with the advertiser. Tools like Otterly.AI, Peec AI, and AthenaHQ occupy similar ground, but Canonry pairs tracking with a managed service layer that handles the actual optimization work.

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  • Stars


    168+3.7%
  • Last commit


    6 hours ago
  • Repository age


    7 months
  • Version


    v6.0.0
  • License


    MIT
  • Self-hosted


    Yes
  • Repository


    canonry/canonry
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