Skip to main content

​
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. Internal Link Recommendation Settings

​
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