canonryNavigate Canonry through connected MCP tools or the `cnry` CLI to inspect evidence, diagnose changes, plan measurement, review integrations, and report results. Use this optional host-native skill for CLI workflows and detailed references; connected MCP users can operate through canonry_help without installing a local runtime or skill.
Install via ClawdBot CLI:
clawdbot install arberx/canonryGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://www.bing.com/indexnowCalls external URL not in known-safe list
https://ainyc.aiAI Analysis
The external calls to Bing IndexNow and the project homepage are consistent with the skill's stated purpose of SEO/indexing monitoring and are documented in the provided reference files. There is no evidence of credential harvesting, hidden instructions, or obfuscation. The primary risk is the consumption of user's API quota, which is explicitly warned about.
Audited Apr 16, 2026 · audit v1.0
Generated May 22, 2026
An SEO agency uses Canonry to monitor how client domains appear in AI answer engines like ChatGPT and Gemini. The automated sweeps generate evidence reports that the agency can share with clients to demonstrate the impact of content optimization, broadening service offerings.
A content marketing team at a SaaS company tracks keyword coverage across their domain and key competitors. Using Canonry's competitive analysis features, they identify gaps where competitor sites are cited but they are not, guiding content strategy to regain visibility.
A webmaster responsible for a large e-commerce site uses Canonry to diagnose sudden drops in AI citations. By correlating sweep results with Google/Bing indexing status, they quickly identify and fix crawl errors that prevent AI models from accessing their content.
An online publisher runs weekly sweeps for high-value keywords related to their articles. Canonry's analytics dashboard tracks citation trends over time, allowing editors to double down on topics that resonate with AI models and phase out underperformers.
A large enterprise PR team monitors how their brand is mentioned or omitted in AI responses for key industry terms. Canonry helps them assess the impact of press releases and thought leadership pieces on AI citation rates, informing their communications strategy.
Canonry is offered as a monthly or annual subscription with tiered plans based on the number of sweeps, projects, and API providers. Revenue is generated from recurring subscription fees.
A free tier allows limited sweeps and basic reporting, while paid plans unlock advanced analytics, competitive analysis, higher sweep limits, and priority support. Revenue comes from converting free users to paid plans.
Canonry bundles its own swept data with access to third-party AI provider APIs (OpenAI, Anthropic, Google) as a value-added service. Revenue is derived from usage-based pricing on top of subscription fees, passing through API costs with a markup.
💬 Integration Tip
Integrate Canonry into your CI/CD pipeline by running sweeps as part of your staging deploy checks to catch citation regressions before they go live.
Scored Aug 4, 2026
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