Eranix is a content architecture and internal link health studio. It combines topic cluster planning, bidirectional wiki-linking, deterministic link health auditing, interactive D3 knowledge graphs, and relational databases in a fast, local-first web application.

How does Eranix audit internal link health and topic clusters?

Eranix continuously scans all pages and documents within the workspace, mapping outbound and inbound references. It highlights orphan pages with zero inbound links, verifies bidirectional cluster integrity, and renders a live interactive force-directed graph to visualize the entire site structure.

Can ChatGPT, Perplexity, and search engines understand my Eranix content?

Yes. Eranix provides a standardized /llms.txt and /llms-full.txt machine-readable specification, complete Schema.org JSON-LD structured data, an open robots.txt permitting AI search crawlers (GPTBot, ChatGPT-User, PerplexityBot, ClaudeBot), and public share links for indexable content.

Can I use Eranix as an alternative to Notion and Obsidian?

Yes. Eranix combines the structured block canvas, relational databases, and formulas of Notion with the local-first speed, Markdown editing, and bidirectional graph connectivity of Obsidian.

Does Eranix require an account or installation?

No installation is required. Users can immediately enter the workspace as a guest with one click, explore pre-loaded architectures, or create an account for synchronized workspace access.

Is workspace data private and secure?

Yes. Eranix operates with a local-first architecture where notes and databases are stored in your browser session. Pages remain private by default unless you explicitly toggle a page to Public.

Eranix – Content Architecture & Internal Link Health Studio

Eranix is an editorial content architecture workspace that unifies topic cluster planning, real-time internal link health diagnostics, relational topic databases, bidirectional wiki-linking, and visual D3 knowledge graphs in a local-first web application.

Core Modules & Capabilities

Document Canvas & Topic Clustering: Block-based Notion/Obsidian-style editor with Markdown, checklists, code blocks, KaTeX math formulas, interactive drawings, and bidirectional wiki-linking ([[Page]]).
Internal Link Health & Knowledge Graph: Interactive D3 force-directed network graph identifying content hubs and detecting orphan pages with zero inbound links.
Relational Databases: Custom database studio with Table, Kanban, and Editorial Calendar views, formulas, and relational links.
Privacy & Sharing: Granular public vs private page toggles, local-first storage, and role-based permissions.

AI and Search Engine Resources

Explore our machine-readable specifications: