Show HN: Canonry tracks how AI cites you – agent-first, open source
Canonry is an open-source platform designed to track how AI engines cite websites. It allows users to manage citations across various AI platforms and provides tools for visibility checks and traffic analysis. The platform is self-hosted and offers a user-friendly interface for setting up and managing projects.
- ▪Canonry tracks citations from AI engines like Gemini, ChatGPT, Claude, and Perplexity.
- ▪Users can execute fixes and manage multiple clients using a declarative configuration approach.
- ▪The platform includes built-in agents and a command-line interface for easy project management.
2 outlets in our directory ran this story, first to last over 9 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ Show HN: Deputies, an open source background agent — Deputies
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,329 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/AINYC/canonry |
| Publication time | Thu, 21 May 2026 17:09:49 +0000 |
| Retrieval time | 2026-05-21T17:11:35.529Z |
| Last seen | 2026-05-21T17:11:35.529Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | u2wLeRW6uSkk · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Canonry Agent-first AEO operating platform. Open source. Self-hosted. Track citations across Gemini, ChatGPT, Claude, Perplexity, and local LLMs Watch AI engines crawl and refer traffic via server-log ingestion — Cloud Run, Vercel, and the WordPress Traffic Logger plugin today Diagnose against real traffic with built-in GSC, GA4, and Bing Webmaster Execute fixes via WordPress, JSON-LD schema, and indexing submissions Manage many clients declaratively — config-as-code YAML + cnry apply Schedule recurring visibility checks AND traffic syncs, with webhook alerts on regressions Generate client-ready HTML reports — cnry report <project> Drive from your own agent via the 67-tool MCP adapter or webhooks Or use Aero — Canonry's built-in agent that wakes up after every run Every dashboard view has…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.