Keyword research & content guidance — found from sitemap — Serpstat

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Facts read from this source

• Clustering method Report an error

  “groups a large list of keywords into semantically related clusters — based on the URLs that appear together in Google search results for those keywords”

• Keyword limits Report an error

  “Upload or paste your keyword list (3 to 50,000 keywords; CSV or TXT)”

• Export formats Report an error

  “export in XLSX or CSV format”

• Strength thresholds Report an error

  “Weak = 3 common URLs, Medium = 8, Strong = 12”

• Cluster types Report an error

  “Soft means a cluster forms if at least one pair of keywords meets the URL threshold — produces fewer, broader clusters. Hard means all keywords in the cluster must meet the threshold”

• Connection strength score Report an error

  “Connection Strength: A score from 0–100 showing how closely each keyword relates to its cluster's topic”

• Homogeneity score Report an error

  “Homogeneity: A score from 0–100 reflecting the semantic consistency of the whole cluster”

• Metatop Report an error

  “Metatop: A list of the most frequent competitor pages appearing in SERP for keywords in the cluster”

• Credit cost Report an error

  “Each keyword costs 5 credits: 20 keywords = 100 credits”

• Shared credit tools Report an error

  “Credits for clustering are shared with Text Analysis, Domain batch analysis, and Keyword batch analysis”

• Setting change free Report an error

  “Changing only Strength or Cluster Type without adding keywords does not charge credits”

• Minimum plan Report an error

  “The tool is available from the Individual plan”

• Domain auto assignment Report an error

  “if you add a domain, Serpstat will automatically assign the most relevant page from your site to each cluster”

• Location settings Report an error

  “Select search engine, country, and optionally region and city”

• Text analysis integration Report an error

  “launch Text Analysis on any cluster directly from the clustering interface to get content recommendations for the assigned page”

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