Internal Link Recommendation

Recommends internal links based on content relevance and page importance

What does this node do?

This node analyzes your content and recommends internal links based on semantic relevance and page importance (PageRank). It helps you identify the most relevant pages to link to from a given query or content, optimizing your internal linking strategy for better SEO.

Configuration

Input

query string required

The content or query for which you want to find relevant internal linking opportunities.

Settings

url_dataset file required

A CSV file containing your site’s URL data. The file must have the following headers:

url: The page URL
title: The page title
inrank: The internal PageRank score of the page

number_of_links number default: 5

The number of link recommendations to return.

semantic_weight number default: 0.8

Weight given to semantic relevance in the recommendation algorithm (between 0 and 1). Higher values prioritize content similarity.

pagerank_weight number default: 0.4

Weight given to page importance (PageRank) in the recommendation algorithm (between 0 and 1). Higher values prioritize high-authority pages.

Output

recommended_links array

An array of recommended internal links with their relevance scores.

[
  {
    "url": "https://example.com/blog/seo-guide",
    "title": "Complete SEO Guide",
    "relevance_score": 0.92,
    "inrank": 8.5
  },
  {
    "url": "https://example.com/resources/link-building",
    "title": "Link Building Best Practices",
    "relevance_score": 0.87,
    "inrank": 7.2
  }
]

Use Cases

Content Writing: Find relevant pages to link to while writing new content
SEO Optimization: Identify internal linking opportunities to improve site structure
Content Updates: Discover pages that should be linked from existing content
Link Distribution: Ensure important pages receive adequate internal links