The Intelligent Engine That Powers Search Authority
Traditional internal linking tools force awkward exact-match keywords into articles. Airlinkr reads full semantic context, rephrases sentences naturally, and respects your CMS layout blocks.
Supabase pgvector Semantic Search
Generates 768-dimensional dense mathematical vector embeddings for every crawled page using Gemini text-embedding-004. Queries are matched via cosine distance to identify candidate articles with high topical affinity.
HNSW Vector Index • Cosine DistanceNatural Contextual Paragraph Bridging
Never shoehorns ugly links. If a relevant destination page doesn't have an exact keyword match in your text, Airlinkr lightly rephrases the surrounding sentence into a smooth, editorial bridge.
Cheerio DOM Engine • Non-DestructiveGutenberg & HTML Layout Lock
Maintains strict DOM integrity. HTML tables, blockquotes, raw code snippets, and WordPress Gutenberg block comments (<!-- wp:paragraph -->) are preserved without breaking CMS layouts.
Topical Silos & Hub-and-Spoke Clustering
Organizes pages into dedicated semantic silos (e.g., SEO, Content Strategy, Engineering). Airlinkr prioritizes internal links within the same topical cluster, preventing off-topic PageRank dilution.
Topical Authority ArchitectureServer-Sent Events (SSE) Streaming
Experience zero opaque spinners. Watch every milestone live: from credit reservation, domain vault ingestion, semantic vector pruning, and Gemini contextual synthesis to visual diff creation.
Real-Time Event StreamsFloating Link Inspector Popover
Hover or click on any injected link in the visual editor to instantly verify destination URL, inspect anchor variation, copy URLs with 1 click, or safely remove links while preserving natural text.
Interactive Glassmorphism UIHow Airlinkr Compares
Why modern SEO teams are replacing legacy keyword-matching plugins with Airlinkr.
| Feature Capability | Airlinkr AI | Legacy WP Plugins | Manual Linking |
|---|---|---|---|
| Contextual Sentence Rephrasing | ✓ Full AI Synthesis | ✗ Keyword Match Only | ✓ Manual Effort |
| Semantic Vector Embeddings | ✓ 768-dim pgvector | ✗ Exact Keyword String | ✗ Human Memory |
| Multi-CMS Compatibility (WP, Webflow, Ghost) | ✓ Universal Web App | ✗ WordPress Only | ✓ Any CMS |
| HTML Table & Gutenberg Preservation | ✓ 100% Protected | ✗ Often Breaks Blocks | ✓ Careful Manual |
| Built-in Google & Bing FastIndex | ✓ Google API & IndexNow | ✗ Requires 3rd Party | ✗ Manual GSC Submissions |
| Time Required Per 2,000-Word Post | Under 30 Seconds | 15–30 Minutes | 45–60 Minutes |