Content similarity
TF-IDF and cosine similarity connect source and target pages that cover related subjects.
Find source pages, target pages and anchor suggestions using content relevance, the current link graph and internal PageRank.
Review the site with an SEO crawler before the migration starts.
Text similarity alone does not show whether the source already links to the target.
A useful anchor still needs the surrounding sentence to make editorial sense.
Without the link graph and PageRank, a long suggestion list has no structural priority.
Build the current link graph and collect page content.
Compare content, anchor relevance and source authority.
Open source, target, anchor and source paragraph together.
Keep useful suggestions and leave weak opportunities out.
Content relevance and link-graph data stay visible in the review workflow.
TF-IDF and cosine similarity connect source and target pages that cover related subjects.
Recommended anchor text is checked against the topic and wording of the target page.
Source-to-target links that already exist are removed before the opportunity reaches review.
Relevant source pages with more internal authority can be reviewed earlier.
See the proposed anchor inside the paragraph where the link could be added.
Use confidence with source, target and context to accept or skip the opportunity.
Find existing pages that discuss the same subject as a newly published guide or category.
The source paragraph and suggested anchor keep the editorial review focused on the actual placement.
Use crawl depth, inlinks and internal PageRank to find pages that receive little support from the site structure.
Relevant source candidates are ranked with the current link graph, not from page text alone.
Review linking gaps between guides, category pages and supporting articles inside one project.
The suggestions update from crawl data, so links already added no longer return as new opportunities.
Run a crawl, open the opportunity list and review source, target, anchor and context together.