Topical Map Builder
Arrange a core topic and reviewed subtopics into a transparent pillar-and-cluster planning outline.
Focused tool collection
Analyze text you supply with transparent counts and heuristics—never fabricated search volume, rankings, or live competitive data.
Arrange a core topic and reviewed subtopics into a transparent pillar-and-cluster planning outline.
Count exact, case-insensitive phrase occurrences and compare them with the total word count.
Review pasted WordPress tag names and counts for duplicates, thin terms, and naming inconsistencies before any manual change.
Estimate reading ease from sentence length and syllable heuristics, with transparent limitations for English prose.
Deduplicate user-supplied hashtags and distribute them into compact, reusable editorial sets without popularity claims.
Count words, sentences, paragraphs, and estimated reading time for pasted content.
Prioritize supplied page records using age, observed click change, observed position change, and business importance.
Count characters with spaces, characters without whitespace, lines, and UTF-aware code points.
Organize manually observed result-page entries without crawling a search engine or claiming stable rankings.
Extract HTML or Markdown H1–H6 headings and flag skipped heading levels.
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