Internal link target recommendation engine

Identify source pages, find topically relevant target pages, rank by semantic similarity to recommend high-value internal linking opportunities.

AA clean typed decision (yes/no, a pick from a list, or a level on a scale) that is concrete, repeats routinely, and has meaningful value.4.03

Key facts

Vertical
Cross-industry
Function
SEO & AI search
Status
Seen in the wild
Volume
routine
Value
meaningful
Risk
low
Evidence
described plan
Flags
None

Source: https://www.oncrawl.com/on-page-seo/building-internal-linking-recommender-python-serp-api-semantic-similarity/

Build this with a classifier

Define a typed decision with a bounded answer, then evaluate it on examples.

{
  "decision_type": "choice",
  "question": "Does this input match the decision in “Internal link target recommendation engine”?",
  "input": "<input to classify>",
  "output": "one label from a fixed list"
}

Related use cases

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