@power-seo/analytics - npm Package Compare versions

Comparing version 1.0.0 to 1.0.1

dist/index.cjs.map

@@ -1,1 +0,1 @@
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============================================================================\r\n// @power-seo/analytics — Merge GSC + Audit Data\r\n// ============================================================================\r\n\r\nimport { normalizeUrl } from '@power-seo/core';\r\nimport type { GscPageData, PageInsight, AuditCategory, CategoryResult } from './types.js';\r\n\r\ninterface AuditData {\r\n  url: string;\r\n  score: number;\r\n  categories: Record<AuditCategory, CategoryResult>;\r\n  recommendations: string[];\r\n}\r\n\r\nexport function mergeGscWithAudit(\r\n  gscData: GscPageData[],\r\n  auditResults: AuditData[],\r\n): PageInsight[] {\r\n  const auditMap = new Map<string, AuditData>();\r\n  for (const result of auditResults) {\r\n    auditMap.set(normalizeUrl(result.url), result);\r\n  }\r\n\r\n  const gscMap = new Map<string, GscPageData>();\r\n  for (const page of gscData) {\r\n    gscMap.set(normalizeUrl(page.url), page);\r\n  }\r\n\r\n  const allUrls = new Set([...auditMap.keys(), ...gscMap.keys()]);\r\n  const insights: PageInsight[] = [];\r\n\r\n  for (const url of allUrls) {\r\n    const gsc = gscMap.get(url);\r\n    const audit = auditMap.get(url);\r\n    const opportunities: string[] = [];\r\n\r\n    if (gsc && audit) {\r\n      if (gsc.clicks > 50 && audit.score < 70) {\r\n        opportunities.push(`High-traffic page (${gsc.clicks} clicks) with low audit score (${audit.score}). Fixing issues could significantly boost organic performance.`);\r\n      }\r\n      if (gsc.position > 10 && gsc.impressions > 100) {\r\n        opportunities.push(`Page has ${gsc.impressions} impressions at position ${gsc.position.toFixed(1)}. Improving to page 1 could unlock significant traffic.`);\r\n      }\r\n      if (audit.recommendations.length > 0) {\r\n        opportunities.push(...audit.recommendations.slice(0, 3));\r\n      }\r\n    } else if (gsc && !audit) {\r\n      opportunities.push('Page receives search traffic but has not been audited. Run an audit to identify improvement opportunities.');\r\n    } else if (!gsc && audit) {\r\n      if (audit.score < 50) {\r\n        opportunities.push(`Page has a low audit score (${audit.score}) and no search traffic. Consider improving or removing the page.`);\r\n      }\r\n    }\r\n\r\n    insights.push({\r\n      url,\r\n      gscMetrics: gsc ? { clicks: gsc.clicks, impressions: gsc.impressions, ctr: gsc.ctr, position: gsc.position } : undefined,\r\n      auditScore: audit?.score,\r\n      auditCategories: audit?.categories,\r\n      opportunities,\r\n    });\r\n  }\r\n\r\n  return insights;\r\n}\r\n\r\nexport function correlateScoreAndTraffic(\r\n  insights: PageInsight[],\r\n): { correlation: number; topOpportunities: PageInsight[] } {\r\n  const paired = insights.filter((i) => i.gscMetrics && i.auditScore !== undefined);\r\n\r\n  if (paired.length < 2) {\r\n    return { correlation: 0, topOpportunities: [] };\r\n  }\r\n\r\n  const scores = paired.map((i) => i.auditScore!);\r\n  const clicks = paired.map((i) => i.gscMetrics!.clicks);\r\n\r\n  const n = scores.length;\r\n  const meanScore = scores.reduce((a, b) => a + b, 0) / n;\r\n  const meanClicks = clicks.reduce((a, b) => a + b, 0) / n;\r\n\r\n  let numerator = 0;\r\n  let denomScore = 0;\r\n  let denomClicks = 0;\r\n\r\n  for (let i = 0; i < n; i++) {\r\n    const diffScore = (scores[i] ?? 0) - meanScore;\r\n    const diffClicks = (clicks[i] ?? 0) - meanClicks;\r\n    numerator += diffScore * diffClicks;\r\n    denomScore += diffScore * diffScore;\r\n    denomClicks += diffClicks * diffClicks;\r\n  }\r\n\r\n  const denominator = Math.sqrt(denomScore * denomClicks);\r\n  const correlation = denominator === 0 ? 0 : numerator / denominator;\r\n\r\n  // Top opportunities: high traffic, low score\r\n  const topOpportunities = [...paired]\r\n    .filter((i) => i.gscMetrics!.clicks > 0)\r\n    .sort((a, b) => {\r\n      const scoreA = (a.gscMetrics!.clicks / (a.auditScore! || 1));\r\n      const scoreB = (b.gscMetrics!.clicks / (b.auditScore! || 1));\r\n      return scoreB - scoreA;\r\n    })\r\n    .slice(0, 10);\r\n\r\n  return { correlation: Math.round(correlation * 1000) / 1000, topOpportunities };\r\n}\r\n","// ============================================================================\r\n// @power-seo/analytics — Trend Analysis\r\n// ============================================================================\r\n\r\nimport type { TrendPoint, TrendDirection, TrendAnalysis, AuditSnapshot } from './types.js';\r\n\r\nexport function analyzeTrend(points: TrendPoint[], metric = 'value'): TrendAnalysis {\r\n  if (points.length === 0) {\r\n    return { metric, trend: 'stable', change: 0, points: [] };\r\n  }\r\n\r\n  if (points.length === 1) {\r\n    return { metric, trend: 'stable', change: 0, points };\r\n  }\r\n\r\n  // Linear regression for slope\r\n  const n = points.length;\r\n  const xs = points.map((_, i) => i);\r\n  const ys = points.map((p) => p.value);\r\n\r\n  const meanX = xs.reduce((a, b) => a + b, 0) / n;\r\n  const meanY = ys.reduce((a, b) => a + b, 0) / n;\r\n\r\n  let numerator = 0;\r\n  let denominator = 0;\r\n  for (let i = 0; i < n; i++) {\r\n    const xi = xs[i] ?? 0;\r\n    const yi = ys[i] ?? 0;\r\n    numerator += (xi - meanX) * (yi - meanY);\r\n    denominator += (xi - meanX) * (xi - meanX);\r\n  }\r\n\r\n  const slope = denominator === 0 ? 0 : numerator / denominator;\r\n\r\n  // Percentage change first→last\r\n  const first = points[0]!.value;\r\n  const last = points[points.length - 1]!.value;\r\n  const change = first === 0 ? 0 : Math.round(((last - first) / Math.abs(first)) * 10000) / 100;\r\n\r\n  // Classify trend based on slope relative to mean\r\n  const threshold = Math.abs(meanY) * 0.02; // 2% of mean\r\n  let trend: TrendDirection;\r\n  if (slope > threshold) {\r\n    trend = 'improving';\r\n  } else if (slope < -threshold) {\r\n    trend = 'declining';\r\n  } else {\r\n    trend = 'stable';\r\n  }\r\n\r\n  return { metric, trend, change, points };\r\n}\r\n\r\nexport function buildTrendLines(\r\n  snapshots: AuditSnapshot[],\r\n): Record<string, TrendAnalysis> {\r\n  if (snapshots.length === 0) {\r\n    return {};\r\n  }\r\n\r\n  // Sort by date\r\n  const sorted = [...snapshots].sort((a, b) => a.date.localeCompare(b.date));\r\n\r\n  // Overall score trend\r\n  const overallPoints: TrendPoint[] = sorted.map((s) => ({ date: s.date, value: s.score }));\r\n  const result: Record<string, TrendAnalysis> = {\r\n    overall: analyzeTrend(overallPoints, 'overall'),\r\n  };\r\n\r\n  // Per-category trends\r\n  const categories = Object.keys(sorted[0]!.categories) as Array<keyof typeof sorted[0]['categories']>;\r\n  for (const category of categories) {\r\n    const categoryPoints: TrendPoint[] = sorted.map((s) => ({\r\n      date: s.date,\r\n      value: s.categories[category],\r\n    }));\r\n    result[category] = analyzeTrend(categoryPoints, category);\r\n  }\r\n\r\n  return result;\r\n}\r\n\r\nexport function detectAnomalies(points: TrendPoint[], threshold = 2): TrendPoint[] {\r\n  if (points.length < 3) {\r\n    return [];\r\n  }\r\n\r\n  const values = points.map((p) => p.value);\r\n  const mean = values.reduce((a, b) => a + b, 0) / values.length;\r\n  const variance = values.reduce((sum, v) => sum + (v - mean) ** 2, 0) / values.length;\r\n  const stdDev = Math.sqrt(variance);\r\n\r\n  if (stdDev === 0) {\r\n    return [];\r\n  }\r\n\r\n  return points.filter((p) => Math.abs(p.value - mean) > threshold * stdDev);\r\n}\r\n","// ============================================================================\r\n// @power-seo/analytics — Query Ranking Analysis\r\n// ============================================================================\r\n\r\nimport type { GscQueryData, RankingAnalysis, RankingBucket, PositionChange } from './types.js';\r\n\r\nconst BUCKET_RANGES = [\r\n  { range: '1-3', min: 1, max: 3 },\r\n  { range: '4-10', min: 4, max: 10 },\r\n  { range: '11-20', min: 11, max: 20 },\r\n  { range: '21-100', min: 21, max: 100 },\r\n];\r\n\r\nexport function analyzeQueryRankings(queries: GscQueryData[]): RankingAnalysis {\r\n  if (queries.length === 0) {\r\n    return { totalQueries: 0, buckets: BUCKET_RANGES.map((r) => ({ range: r.range, count: 0, queries: [] })), strikingDistance: [] };\r\n  }\r\n\r\n  const buckets: RankingBucket[] = BUCKET_RANGES.map((range) => {\r\n    const matching = queries.filter(\r\n      (q) => q.position >= range.min && q.position <= range.max,\r\n    );\r\n    return {\r\n      range: range.range,\r\n      count: matching.length,\r\n      queries: matching,\r\n    };\r\n  });\r\n\r\n  // Striking distance: position 4-20, sorted by impressions descending\r\n  const strikingDistance = queries\r\n    .filter((q) => q.position >= 4 && q.position <= 20)\r\n    .sort((a, b) => b.impressions - a.impressions);\r\n\r\n  return {\r\n    totalQueries: queries.length,\r\n    buckets,\r\n    strikingDistance,\r\n  };\r\n}\r\n\r\nexport function trackPositionChanges(\r\n  current: GscQueryData[],\r\n  previous: GscQueryData[],\r\n): PositionChange[] {\r\n  if (current.length === 0 && previous.length === 0) {\r\n    return [];\r\n  }\r\n\r\n  const prevMap = new Map<string, GscQueryData>();\r\n  for (const q of previous) {\r\n    prevMap.set(q.query, q);\r\n  }\r\n\r\n  const changes: PositionChange[] = [];\r\n\r\n  for (const curr of current) {\r\n    const prev = prevMap.get(curr.query);\r\n    if (prev) {\r\n      changes.push({\r\n        query: curr.query,\r\n        previousPosition: prev.position,\r\n        currentPosition: curr.position,\r\n        change: prev.position - curr.position, // positive = improvement\r\n        impressionChange: curr.impressions - prev.impressions,\r\n      });\r\n    }\r\n  }\r\n\r\n  return changes;\r\n}\r\n","// ============================================================================\r\n// @power-seo/analytics — Dashboard Data Builder\r\n// ============================================================================\r\n\r\nimport type { DashboardInput, DashboardData, DashboardOverview } from './types.js';\r\nimport { buildTrendLines } from './trends.js';\r\n\r\nexport function buildDashboardData(input: DashboardInput): DashboardData {\r\n  const { gscPages = [], gscQueries = [], auditResults = [], auditHistory = [] } = input;\r\n\r\n  // Overview metrics\r\n  const totalClicks = gscPages.reduce((sum, p) => sum + p.clicks, 0);\r\n  const totalImpressions = gscPages.reduce((sum, p) => sum + p.impressions, 0);\r\n  const averageCtr = gscPages.length > 0\r\n    ? Math.round((gscPages.reduce((sum, p) => sum + p.ctr, 0) / gscPages.length) * 10000) / 10000\r\n    : 0;\r\n  const averagePosition = gscPages.length > 0\r\n    ? Math.round((gscPages.reduce((sum, p) => sum + p.position, 0) / gscPages.length) * 10) / 10\r\n    : 0;\r\n  const averageAuditScore = auditResults.length > 0\r\n    ? Math.round(auditResults.reduce((sum, r) => sum + r.score, 0) / auditResults.length)\r\n    : 0;\r\n  const totalPages = Math.max(gscPages.length, auditResults.length);\r\n\r\n  const overview: DashboardOverview = {\r\n    totalClicks,\r\n    totalImpressions,\r\n    averageCtr,\r\n    averagePosition,\r\n    averageAuditScore,\r\n    totalPages,\r\n  };\r\n\r\n  // Top pages by clicks\r\n  const topPages = [...gscPages].sort((a, b) => b.clicks - a.clicks).slice(0, 10);\r\n\r\n  // Top queries by clicks\r\n  const topQueries = [...gscQueries].sort((a, b) => b.clicks - a.clicks).slice(0, 10);\r\n\r\n  // Trend lines from audit history\r\n  const trendLines = buildTrendLines(auditHistory);\r\n\r\n  // Collect issues from audit results\r\n  const issues: string[] = [];\r\n  for (const result of auditResults) {\r\n    issues.push(...result.recommendations);\r\n  }\r\n  // Deduplicate and limit\r\n  const uniqueIssues = [...new Set(issues)].slice(0, 20);\r\n\r\n  return {\r\n    overview,\r\n    topPages,\r\n    topQueries,\r\n    trendLines,\r\n    issues: uniqueIssues,\r\n  };\r\n}\r\n"]}
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============================================================================\n// @power-seo/analytics — Merge GSC + Audit Data\n// ============================================================================\n\nimport { normalizeUrl } from '@power-seo/core';\nimport type { GscPageData, PageInsight, AuditCategory, CategoryResult } from './types.js';\n\ninterface AuditData {\n  url: string;\n  score: number;\n  categories: Record<AuditCategory, CategoryResult>;\n  recommendations: string[];\n}\n\nexport function mergeGscWithAudit(\n  gscData: GscPageData[],\n  auditResults: AuditData[],\n): PageInsight[] {\n  const auditMap = new Map<string, AuditData>();\n  for (const result of auditResults) {\n    auditMap.set(normalizeUrl(result.url), result);\n  }\n\n  const gscMap = new Map<string, GscPageData>();\n  for (const page of gscData) {\n    gscMap.set(normalizeUrl(page.url), page);\n  }\n\n  const allUrls = new Set([...auditMap.keys(), ...gscMap.keys()]);\n  const insights: PageInsight[] = [];\n\n  for (const url of allUrls) {\n    const gsc = gscMap.get(url);\n    const audit = auditMap.get(url);\n    const opportunities: string[] = [];\n\n    if (gsc && audit) {\n      if (gsc.clicks > 50 && audit.score < 70) {\n        opportunities.push(`High-traffic page (${gsc.clicks} clicks) with low audit score (${audit.score}). Fixing issues could significantly boost organic performance.`);\n      }\n      if (gsc.position > 10 && gsc.impressions > 100) {\n        opportunities.push(`Page has ${gsc.impressions} impressions at position ${gsc.position.toFixed(1)}. Improving to page 1 could unlock significant traffic.`);\n      }\n      if (audit.recommendations.length > 0) {\n        opportunities.push(...audit.recommendations.slice(0, 3));\n      }\n    } else if (gsc && !audit) {\n      opportunities.push('Page receives search traffic but has not been audited. Run an audit to identify improvement opportunities.');\n    } else if (!gsc && audit) {\n      if (audit.score < 50) {\n        opportunities.push(`Page has a low audit score (${audit.score}) and no search traffic. Consider improving or removing the page.`);\n      }\n    }\n\n    insights.push({\n      url,\n      gscMetrics: gsc ? { clicks: gsc.clicks, impressions: gsc.impressions, ctr: gsc.ctr, position: gsc.position } : undefined,\n      auditScore: audit?.score,\n      auditCategories: audit?.categories,\n      opportunities,\n    });\n  }\n\n  return insights;\n}\n\nexport function correlateScoreAndTraffic(\n  insights: PageInsight[],\n): { correlation: number; topOpportunities: PageInsight[] } {\n  const paired = insights.filter((i) => i.gscMetrics && i.auditScore !== undefined);\n\n  if (paired.length < 2) {\n    return { correlation: 0, topOpportunities: [] };\n  }\n\n  const scores = paired.map((i) => i.auditScore!);\n  const clicks = paired.map((i) => i.gscMetrics!.clicks);\n\n  const n = scores.length;\n  const meanScore = scores.reduce((a, b) => a + b, 0) / n;\n  const meanClicks = clicks.reduce((a, b) => a + b, 0) / n;\n\n  let numerator = 0;\n  let denomScore = 0;\n  let denomClicks = 0;\n\n  for (let i = 0; i < n; i++) {\n    const diffScore = (scores[i] ?? 0) - meanScore;\n    const diffClicks = (clicks[i] ?? 0) - meanClicks;\n    numerator += diffScore * diffClicks;\n    denomScore += diffScore * diffScore;\n    denomClicks += diffClicks * diffClicks;\n  }\n\n  const denominator = Math.sqrt(denomScore * denomClicks);\n  const correlation = denominator === 0 ? 0 : numerator / denominator;\n\n  // Top opportunities: high traffic, low score\n  const topOpportunities = [...paired]\n    .filter((i) => i.gscMetrics!.clicks > 0)\n    .sort((a, b) => {\n      const scoreA = (a.gscMetrics!.clicks / (a.auditScore! || 1));\n      const scoreB = (b.gscMetrics!.clicks / (b.auditScore! || 1));\n      return scoreB - scoreA;\n    })\n    .slice(0, 10);\n\n  return { correlation: Math.round(correlation * 1000) / 1000, topOpportunities };\n}\n","// ============================================================================\n// @power-seo/analytics — Trend Analysis\n// ============================================================================\n\nimport type { TrendPoint, TrendDirection, TrendAnalysis, AuditSnapshot } from './types.js';\n\nexport function analyzeTrend(points: TrendPoint[], metric = 'value'): TrendAnalysis {\n  if (points.length === 0) {\n    return { metric, trend: 'stable', change: 0, points: [] };\n  }\n\n  if (points.length === 1) {\n    return { metric, trend: 'stable', change: 0, points };\n  }\n\n  // Linear regression for slope\n  const n = points.length;\n  const xs = points.map((_, i) => i);\n  const ys = points.map((p) => p.value);\n\n  const meanX = xs.reduce((a, b) => a + b, 0) / n;\n  const meanY = ys.reduce((a, b) => a + b, 0) / n;\n\n  let numerator = 0;\n  let denominator = 0;\n  for (let i = 0; i < n; i++) {\n    const xi = xs[i] ?? 0;\n    const yi = ys[i] ?? 0;\n    numerator += (xi - meanX) * (yi - meanY);\n    denominator += (xi - meanX) * (xi - meanX);\n  }\n\n  const slope = denominator === 0 ? 0 : numerator / denominator;\n\n  // Percentage change first→last\n  const first = points[0]!.value;\n  const last = points[points.length - 1]!.value;\n  const change = first === 0 ? 0 : Math.round(((last - first) / Math.abs(first)) * 10000) / 100;\n\n  // Classify trend based on slope relative to mean\n  const threshold = Math.abs(meanY) * 0.02; // 2% of mean\n  let trend: TrendDirection;\n  if (slope > threshold) {\n    trend = 'improving';\n  } else if (slope < -threshold) {\n    trend = 'declining';\n  } else {\n    trend = 'stable';\n  }\n\n  return { metric, trend, change, points };\n}\n\nexport function buildTrendLines(\n  snapshots: AuditSnapshot[],\n): Record<string, TrendAnalysis> {\n  if (snapshots.length === 0) {\n    return {};\n  }\n\n  // Sort by date\n  const sorted = [...snapshots].sort((a, b) => a.date.localeCompare(b.date));\n\n  // Overall score trend\n  const overallPoints: TrendPoint[] = sorted.map((s) => ({ date: s.date, value: s.score }));\n  const result: Record<string, TrendAnalysis> = {\n    overall: analyzeTrend(overallPoints, 'overall'),\n  };\n\n  // Per-category trends\n  const categories = Object.keys(sorted[0]!.categories) as Array<keyof typeof sorted[0]['categories']>;\n  for (const category of categories) {\n    const categoryPoints: TrendPoint[] = sorted.map((s) => ({\n      date: s.date,\n      value: s.categories[category],\n    }));\n    result[category] = analyzeTrend(categoryPoints, category);\n  }\n\n  return result;\n}\n\nexport function detectAnomalies(points: TrendPoint[], threshold = 2): TrendPoint[] {\n  if (points.length < 3) {\n    return [];\n  }\n\n  const values = points.map((p) => p.value);\n  const mean = values.reduce((a, b) => a + b, 0) / values.length;\n  const variance = values.reduce((sum, v) => sum + (v - mean) ** 2, 0) / values.length;\n  const stdDev = Math.sqrt(variance);\n\n  if (stdDev === 0) {\n    return [];\n  }\n\n  return points.filter((p) => Math.abs(p.value - mean) > threshold * stdDev);\n}\n","// ============================================================================\n// @power-seo/analytics — Query Ranking Analysis\n// ============================================================================\n\nimport type { GscQueryData, RankingAnalysis, RankingBucket, PositionChange } from './types.js';\n\nconst BUCKET_RANGES = [\n  { range: '1-3', min: 1, max: 3 },\n  { range: '4-10', min: 4, max: 10 },\n  { range: '11-20', min: 11, max: 20 },\n  { range: '21-100', min: 21, max: 100 },\n];\n\nexport function analyzeQueryRankings(queries: GscQueryData[]): RankingAnalysis {\n  if (queries.length === 0) {\n    return { totalQueries: 0, buckets: BUCKET_RANGES.map((r) => ({ range: r.range, count: 0, queries: [] })), strikingDistance: [] };\n  }\n\n  const buckets: RankingBucket[] = BUCKET_RANGES.map((range) => {\n    const matching = queries.filter(\n      (q) => q.position >= range.min && q.position <= range.max,\n    );\n    return {\n      range: range.range,\n      count: matching.length,\n      queries: matching,\n    };\n  });\n\n  // Striking distance: position 4-20, sorted by impressions descending\n  const strikingDistance = queries\n    .filter((q) => q.position >= 4 && q.position <= 20)\n    .sort((a, b) => b.impressions - a.impressions);\n\n  return {\n    totalQueries: queries.length,\n    buckets,\n    strikingDistance,\n  };\n}\n\nexport function trackPositionChanges(\n  current: GscQueryData[],\n  previous: GscQueryData[],\n): PositionChange[] {\n  if (current.length === 0 && previous.length === 0) {\n    return [];\n  }\n\n  const prevMap = new Map<string, GscQueryData>();\n  for (const q of previous) {\n    prevMap.set(q.query, q);\n  }\n\n  const changes: PositionChange[] = [];\n\n  for (const curr of current) {\n    const prev = prevMap.get(curr.query);\n    if (prev) {\n      changes.push({\n        query: curr.query,\n        previousPosition: prev.position,\n        currentPosition: curr.position,\n        change: prev.position - curr.position, // positive = improvement\n        impressionChange: curr.impressions - prev.impressions,\n      });\n    }\n  }\n\n  return changes;\n}\n","// ============================================================================\n// @power-seo/analytics — Dashboard Data Builder\n// ============================================================================\n\nimport type { DashboardInput, DashboardData, DashboardOverview } from './types.js';\nimport { buildTrendLines } from './trends.js';\n\nexport function buildDashboardData(input: DashboardInput): DashboardData {\n  const { gscPages = [], gscQueries = [], auditResults = [], auditHistory = [] } = input;\n\n  // Overview metrics\n  const totalClicks = gscPages.reduce((sum, p) => sum + p.clicks, 0);\n  const totalImpressions = gscPages.reduce((sum, p) => sum + p.impressions, 0);\n  const averageCtr = gscPages.length > 0\n    ? Math.round((gscPages.reduce((sum, p) => sum + p.ctr, 0) / gscPages.length) * 10000) / 10000\n    : 0;\n  const averagePosition = gscPages.length > 0\n    ? Math.round((gscPages.reduce((sum, p) => sum + p.position, 0) / gscPages.length) * 10) / 10\n    : 0;\n  const averageAuditScore = auditResults.length > 0\n    ? Math.round(auditResults.reduce((sum, r) => sum + r.score, 0) / auditResults.length)\n    : 0;\n  const totalPages = Math.max(gscPages.length, auditResults.length);\n\n  const overview: DashboardOverview = {\n    totalClicks,\n    totalImpressions,\n    averageCtr,\n    averagePosition,\n    averageAuditScore,\n    totalPages,\n  };\n\n  // Top pages by clicks\n  const topPages = [...gscPages].sort((a, b) => b.clicks - a.clicks).slice(0, 10);\n\n  // Top queries by clicks\n  const topQueries = [...gscQueries].sort((a, b) => b.clicks - a.clicks).slice(0, 10);\n\n  // Trend lines from audit history\n  const trendLines = buildTrendLines(auditHistory);\n\n  // Collect issues from audit results\n  const issues: string[] = [];\n  for (const result of auditResults) {\n    issues.push(...result.recommendations);\n  }\n  // Deduplicate and limit\n  const uniqueIssues = [...new Set(issues)].slice(0, 20);\n\n  return {\n    overview,\n    topPages,\n    topQueries,\n    trendLines,\n    issues: uniqueIssues,\n  };\n}\n"]}

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============================================================================\r\n// @power-seo/analytics — Merge GSC + Audit Data\r\n// ============================================================================\r\n\r\nimport { normalizeUrl } from '@power-seo/core';\r\nimport type { GscPageData, PageInsight, AuditCategory, CategoryResult } from './types.js';\r\n\r\ninterface AuditData {\r\n  url: string;\r\n  score: number;\r\n  categories: Record<AuditCategory, CategoryResult>;\r\n  recommendations: string[];\r\n}\r\n\r\nexport function mergeGscWithAudit(\r\n  gscData: GscPageData[],\r\n  auditResults: AuditData[],\r\n): PageInsight[] {\r\n  const auditMap = new Map<string, AuditData>();\r\n  for (const result of auditResults) {\r\n    auditMap.set(normalizeUrl(result.url), result);\r\n  }\r\n\r\n  const gscMap = new Map<string, GscPageData>();\r\n  for (const page of gscData) {\r\n    gscMap.set(normalizeUrl(page.url), page);\r\n  }\r\n\r\n  const allUrls = new Set([...auditMap.keys(), ...gscMap.keys()]);\r\n  const insights: PageInsight[] = [];\r\n\r\n  for (const url of allUrls) {\r\n    const gsc = gscMap.get(url);\r\n    const audit = auditMap.get(url);\r\n    const opportunities: string[] = [];\r\n\r\n    if (gsc && audit) {\r\n      if (gsc.clicks > 50 && audit.score < 70) {\r\n        opportunities.push(`High-traffic page (${gsc.clicks} clicks) with low audit score (${audit.score}). Fixing issues could significantly boost organic performance.`);\r\n      }\r\n      if (gsc.position > 10 && gsc.impressions > 100) {\r\n        opportunities.push(`Page has ${gsc.impressions} impressions at position ${gsc.position.toFixed(1)}. Improving to page 1 could unlock significant traffic.`);\r\n      }\r\n      if (audit.recommendations.length > 0) {\r\n        opportunities.push(...audit.recommendations.slice(0, 3));\r\n      }\r\n    } else if (gsc && !audit) {\r\n      opportunities.push('Page receives search traffic but has not been audited. Run an audit to identify improvement opportunities.');\r\n    } else if (!gsc && audit) {\r\n      if (audit.score < 50) {\r\n        opportunities.push(`Page has a low audit score (${audit.score}) and no search traffic. Consider improving or removing the page.`);\r\n      }\r\n    }\r\n\r\n    insights.push({\r\n      url,\r\n      gscMetrics: gsc ? { clicks: gsc.clicks, impressions: gsc.impressions, ctr: gsc.ctr, position: gsc.position } : undefined,\r\n      auditScore: audit?.score,\r\n      auditCategories: audit?.categories,\r\n      opportunities,\r\n    });\r\n  }\r\n\r\n  return insights;\r\n}\r\n\r\nexport function correlateScoreAndTraffic(\r\n  insights: PageInsight[],\r\n): { correlation: number; topOpportunities: PageInsight[] } {\r\n  const paired = insights.filter((i) => i.gscMetrics && i.auditScore !== undefined);\r\n\r\n  if (paired.length < 2) {\r\n    return { correlation: 0, topOpportunities: [] };\r\n  }\r\n\r\n  const scores = paired.map((i) => i.auditScore!);\r\n  const clicks = paired.map((i) => i.gscMetrics!.clicks);\r\n\r\n  const n = scores.length;\r\n  const meanScore = scores.reduce((a, b) => a + b, 0) / n;\r\n  const meanClicks = clicks.reduce((a, b) => a + b, 0) / n;\r\n\r\n  let numerator = 0;\r\n  let denomScore = 0;\r\n  let denomClicks = 0;\r\n\r\n  for (let i = 0; i < n; i++) {\r\n    const diffScore = (scores[i] ?? 0) - meanScore;\r\n    const diffClicks = (clicks[i] ?? 0) - meanClicks;\r\n    numerator += diffScore * diffClicks;\r\n    denomScore += diffScore * diffScore;\r\n    denomClicks += diffClicks * diffClicks;\r\n  }\r\n\r\n  const denominator = Math.sqrt(denomScore * denomClicks);\r\n  const correlation = denominator === 0 ? 0 : numerator / denominator;\r\n\r\n  // Top opportunities: high traffic, low score\r\n  const topOpportunities = [...paired]\r\n    .filter((i) => i.gscMetrics!.clicks > 0)\r\n    .sort((a, b) => {\r\n      const scoreA = (a.gscMetrics!.clicks / (a.auditScore! || 1));\r\n      const scoreB = (b.gscMetrics!.clicks / (b.auditScore! || 1));\r\n      return scoreB - scoreA;\r\n    })\r\n    .slice(0, 10);\r\n\r\n  return { correlation: Math.round(correlation * 1000) / 1000, topOpportunities };\r\n}\r\n","// ============================================================================\r\n// @power-seo/analytics — Trend Analysis\r\n// ============================================================================\r\n\r\nimport type { TrendPoint, TrendDirection, TrendAnalysis, AuditSnapshot } from './types.js';\r\n\r\nexport function analyzeTrend(points: TrendPoint[], metric = 'value'): TrendAnalysis {\r\n  if (points.length === 0) {\r\n    return { metric, trend: 'stable', change: 0, points: [] };\r\n  }\r\n\r\n  if (points.length === 1) {\r\n    return { metric, trend: 'stable', change: 0, points };\r\n  }\r\n\r\n  // Linear regression for slope\r\n  const n = points.length;\r\n  const xs = points.map((_, i) => i);\r\n  const ys = points.map((p) => p.value);\r\n\r\n  const meanX = xs.reduce((a, b) => a + b, 0) / n;\r\n  const meanY = ys.reduce((a, b) => a + b, 0) / n;\r\n\r\n  let numerator = 0;\r\n  let denominator = 0;\r\n  for (let i = 0; i < n; i++) {\r\n    const xi = xs[i] ?? 0;\r\n    const yi = ys[i] ?? 0;\r\n    numerator += (xi - meanX) * (yi - meanY);\r\n    denominator += (xi - meanX) * (xi - meanX);\r\n  }\r\n\r\n  const slope = denominator === 0 ? 0 : numerator / denominator;\r\n\r\n  // Percentage change first→last\r\n  const first = points[0]!.value;\r\n  const last = points[points.length - 1]!.value;\r\n  const change = first === 0 ? 0 : Math.round(((last - first) / Math.abs(first)) * 10000) / 100;\r\n\r\n  // Classify trend based on slope relative to mean\r\n  const threshold = Math.abs(meanY) * 0.02; // 2% of mean\r\n  let trend: TrendDirection;\r\n  if (slope > threshold) {\r\n    trend = 'improving';\r\n  } else if (slope < -threshold) {\r\n    trend = 'declining';\r\n  } else {\r\n    trend = 'stable';\r\n  }\r\n\r\n  return { metric, trend, change, points };\r\n}\r\n\r\nexport function buildTrendLines(\r\n  snapshots: AuditSnapshot[],\r\n): Record<string, TrendAnalysis> {\r\n  if (snapshots.length === 0) {\r\n    return {};\r\n  }\r\n\r\n  // Sort by date\r\n  const sorted = [...snapshots].sort((a, b) => a.date.localeCompare(b.date));\r\n\r\n  // Overall score trend\r\n  const overallPoints: TrendPoint[] = sorted.map((s) => ({ date: s.date, value: s.score }));\r\n  const result: Record<string, TrendAnalysis> = {\r\n    overall: analyzeTrend(overallPoints, 'overall'),\r\n  };\r\n\r\n  // Per-category trends\r\n  const categories = Object.keys(sorted[0]!.categories) as Array<keyof typeof sorted[0]['categories']>;\r\n  for (const category of categories) {\r\n    const categoryPoints: TrendPoint[] = sorted.map((s) => ({\r\n      date: s.date,\r\n      value: s.categories[category],\r\n    }));\r\n    result[category] = analyzeTrend(categoryPoints, category);\r\n  }\r\n\r\n  return result;\r\n}\r\n\r\nexport function detectAnomalies(points: TrendPoint[], threshold = 2): TrendPoint[] {\r\n  if (points.length < 3) {\r\n    return [];\r\n  }\r\n\r\n  const values = points.map((p) => p.value);\r\n  const mean = values.reduce((a, b) => a + b, 0) / values.length;\r\n  const variance = values.reduce((sum, v) => sum + (v - mean) ** 2, 0) / values.length;\r\n  const stdDev = Math.sqrt(variance);\r\n\r\n  if (stdDev === 0) {\r\n    return [];\r\n  }\r\n\r\n  return points.filter((p) => Math.abs(p.value - mean) > threshold * stdDev);\r\n}\r\n","// ============================================================================\r\n// @power-seo/analytics — Query Ranking Analysis\r\n// ============================================================================\r\n\r\nimport type { GscQueryData, RankingAnalysis, RankingBucket, PositionChange } from './types.js';\r\n\r\nconst BUCKET_RANGES = [\r\n  { range: '1-3', min: 1, max: 3 },\r\n  { range: '4-10', min: 4, max: 10 },\r\n  { range: '11-20', min: 11, max: 20 },\r\n  { range: '21-100', min: 21, max: 100 },\r\n];\r\n\r\nexport function analyzeQueryRankings(queries: GscQueryData[]): RankingAnalysis {\r\n  if (queries.length === 0) {\r\n    return { totalQueries: 0, buckets: BUCKET_RANGES.map((r) => ({ range: r.range, count: 0, queries: [] })), strikingDistance: [] };\r\n  }\r\n\r\n  const buckets: RankingBucket[] = BUCKET_RANGES.map((range) => {\r\n    const matching = queries.filter(\r\n      (q) => q.position >= range.min && q.position <= range.max,\r\n    );\r\n    return {\r\n      range: range.range,\r\n      count: matching.length,\r\n      queries: matching,\r\n    };\r\n  });\r\n\r\n  // Striking distance: position 4-20, sorted by impressions descending\r\n  const strikingDistance = queries\r\n    .filter((q) => q.position >= 4 && q.position <= 20)\r\n    .sort((a, b) => b.impressions - a.impressions);\r\n\r\n  return {\r\n    totalQueries: queries.length,\r\n    buckets,\r\n    strikingDistance,\r\n  };\r\n}\r\n\r\nexport function trackPositionChanges(\r\n  current: GscQueryData[],\r\n  previous: GscQueryData[],\r\n): PositionChange[] {\r\n  if (current.length === 0 && previous.length === 0) {\r\n    return [];\r\n  }\r\n\r\n  const prevMap = new Map<string, GscQueryData>();\r\n  for (const q of previous) {\r\n    prevMap.set(q.query, q);\r\n  }\r\n\r\n  const changes: PositionChange[] = [];\r\n\r\n  for (const curr of current) {\r\n    const prev = prevMap.get(curr.query);\r\n    if (prev) {\r\n      changes.push({\r\n        query: curr.query,\r\n        previousPosition: prev.position,\r\n        currentPosition: curr.position,\r\n        change: prev.position - curr.position, // positive = improvement\r\n        impressionChange: curr.impressions - prev.impressions,\r\n      });\r\n    }\r\n  }\r\n\r\n  return changes;\r\n}\r\n","// ============================================================================\r\n// @power-seo/analytics — Dashboard Data Builder\r\n// ============================================================================\r\n\r\nimport type { DashboardInput, DashboardData, DashboardOverview } from './types.js';\r\nimport { buildTrendLines } from './trends.js';\r\n\r\nexport function buildDashboardData(input: DashboardInput): DashboardData {\r\n  const { gscPages = [], gscQueries = [], auditResults = [], auditHistory = [] } = input;\r\n\r\n  // Overview metrics\r\n  const totalClicks = gscPages.reduce((sum, p) => sum + p.clicks, 0);\r\n  const totalImpressions = gscPages.reduce((sum, p) => sum + p.impressions, 0);\r\n  const averageCtr = gscPages.length > 0\r\n    ? Math.round((gscPages.reduce((sum, p) => sum + p.ctr, 0) / gscPages.length) * 10000) / 10000\r\n    : 0;\r\n  const averagePosition = gscPages.length > 0\r\n    ? Math.round((gscPages.reduce((sum, p) => sum + p.position, 0) / gscPages.length) * 10) / 10\r\n    : 0;\r\n  const averageAuditScore = auditResults.length > 0\r\n    ? Math.round(auditResults.reduce((sum, r) => sum + r.score, 0) / auditResults.length)\r\n    : 0;\r\n  const totalPages = Math.max(gscPages.length, auditResults.length);\r\n\r\n  const overview: DashboardOverview = {\r\n    totalClicks,\r\n    totalImpressions,\r\n    averageCtr,\r\n    averagePosition,\r\n    averageAuditScore,\r\n    totalPages,\r\n  };\r\n\r\n  // Top pages by clicks\r\n  const topPages = [...gscPages].sort((a, b) => b.clicks - a.clicks).slice(0, 10);\r\n\r\n  // Top queries by clicks\r\n  const topQueries = [...gscQueries].sort((a, b) => b.clicks - a.clicks).slice(0, 10);\r\n\r\n  // Trend lines from audit history\r\n  const trendLines = buildTrendLines(auditHistory);\r\n\r\n  // Collect issues from audit results\r\n  const issues: string[] = [];\r\n  for (const result of auditResults) {\r\n    issues.push(...result.recommendations);\r\n  }\r\n  // Deduplicate and limit\r\n  const uniqueIssues = [...new Set(issues)].slice(0, 20);\r\n\r\n  return {\r\n    overview,\r\n    topPages,\r\n    topQueries,\r\n    trendLines,\r\n    issues: uniqueIssues,\r\n  };\r\n}\r\n"]}
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============================================================================\n// @power-seo/analytics — Merge GSC + Audit Data\n// ============================================================================\n\nimport { normalizeUrl } from '@power-seo/core';\nimport type { GscPageData, PageInsight, AuditCategory, CategoryResult } from './types.js';\n\ninterface AuditData {\n  url: string;\n  score: number;\n  categories: Record<AuditCategory, CategoryResult>;\n  recommendations: string[];\n}\n\nexport function mergeGscWithAudit(\n  gscData: GscPageData[],\n  auditResults: AuditData[],\n): PageInsight[] {\n  const auditMap = new Map<string, AuditData>();\n  for (const result of auditResults) {\n    auditMap.set(normalizeUrl(result.url), result);\n  }\n\n  const gscMap = new Map<string, GscPageData>();\n  for (const page of gscData) {\n    gscMap.set(normalizeUrl(page.url), page);\n  }\n\n  const allUrls = new Set([...auditMap.keys(), ...gscMap.keys()]);\n  const insights: PageInsight[] = [];\n\n  for (const url of allUrls) {\n    const gsc = gscMap.get(url);\n    const audit = auditMap.get(url);\n    const opportunities: string[] = [];\n\n    if (gsc && audit) {\n      if (gsc.clicks > 50 && audit.score < 70) {\n        opportunities.push(`High-traffic page (${gsc.clicks} clicks) with low audit score (${audit.score}). Fixing issues could significantly boost organic performance.`);\n      }\n      if (gsc.position > 10 && gsc.impressions > 100) {\n        opportunities.push(`Page has ${gsc.impressions} impressions at position ${gsc.position.toFixed(1)}. Improving to page 1 could unlock significant traffic.`);\n      }\n      if (audit.recommendations.length > 0) {\n        opportunities.push(...audit.recommendations.slice(0, 3));\n      }\n    } else if (gsc && !audit) {\n      opportunities.push('Page receives search traffic but has not been audited. Run an audit to identify improvement opportunities.');\n    } else if (!gsc && audit) {\n      if (audit.score < 50) {\n        opportunities.push(`Page has a low audit score (${audit.score}) and no search traffic. Consider improving or removing the page.`);\n      }\n    }\n\n    insights.push({\n      url,\n      gscMetrics: gsc ? { clicks: gsc.clicks, impressions: gsc.impressions, ctr: gsc.ctr, position: gsc.position } : undefined,\n      auditScore: audit?.score,\n      auditCategories: audit?.categories,\n      opportunities,\n    });\n  }\n\n  return insights;\n}\n\nexport function correlateScoreAndTraffic(\n  insights: PageInsight[],\n): { correlation: number; topOpportunities: PageInsight[] } {\n  const paired = insights.filter((i) => i.gscMetrics && i.auditScore !== undefined);\n\n  if (paired.length < 2) {\n    return { correlation: 0, topOpportunities: [] };\n  }\n\n  const scores = paired.map((i) => i.auditScore!);\n  const clicks = paired.map((i) => i.gscMetrics!.clicks);\n\n  const n = scores.length;\n  const meanScore = scores.reduce((a, b) => a + b, 0) / n;\n  const meanClicks = clicks.reduce((a, b) => a + b, 0) / n;\n\n  let numerator = 0;\n  let denomScore = 0;\n  let denomClicks = 0;\n\n  for (let i = 0; i < n; i++) {\n    const diffScore = (scores[i] ?? 0) - meanScore;\n    const diffClicks = (clicks[i] ?? 0) - meanClicks;\n    numerator += diffScore * diffClicks;\n    denomScore += diffScore * diffScore;\n    denomClicks += diffClicks * diffClicks;\n  }\n\n  const denominator = Math.sqrt(denomScore * denomClicks);\n  const correlation = denominator === 0 ? 0 : numerator / denominator;\n\n  // Top opportunities: high traffic, low score\n  const topOpportunities = [...paired]\n    .filter((i) => i.gscMetrics!.clicks > 0)\n    .sort((a, b) => {\n      const scoreA = (a.gscMetrics!.clicks / (a.auditScore! || 1));\n      const scoreB = (b.gscMetrics!.clicks / (b.auditScore! || 1));\n      return scoreB - scoreA;\n    })\n    .slice(0, 10);\n\n  return { correlation: Math.round(correlation * 1000) / 1000, topOpportunities };\n}\n","// ============================================================================\n// @power-seo/analytics — Trend Analysis\n// ============================================================================\n\nimport type { TrendPoint, TrendDirection, TrendAnalysis, AuditSnapshot } from './types.js';\n\nexport function analyzeTrend(points: TrendPoint[], metric = 'value'): TrendAnalysis {\n  if (points.length === 0) {\n    return { metric, trend: 'stable', change: 0, points: [] };\n  }\n\n  if (points.length === 1) {\n    return { metric, trend: 'stable', change: 0, points };\n  }\n\n  // Linear regression for slope\n  const n = points.length;\n  const xs = points.map((_, i) => i);\n  const ys = points.map((p) => p.value);\n\n  const meanX = xs.reduce((a, b) => a + b, 0) / n;\n  const meanY = ys.reduce((a, b) => a + b, 0) / n;\n\n  let numerator = 0;\n  let denominator = 0;\n  for (let i = 0; i < n; i++) {\n    const xi = xs[i] ?? 0;\n    const yi = ys[i] ?? 0;\n    numerator += (xi - meanX) * (yi - meanY);\n    denominator += (xi - meanX) * (xi - meanX);\n  }\n\n  const slope = denominator === 0 ? 0 : numerator / denominator;\n\n  // Percentage change first→last\n  const first = points[0]!.value;\n  const last = points[points.length - 1]!.value;\n  const change = first === 0 ? 0 : Math.round(((last - first) / Math.abs(first)) * 10000) / 100;\n\n  // Classify trend based on slope relative to mean\n  const threshold = Math.abs(meanY) * 0.02; // 2% of mean\n  let trend: TrendDirection;\n  if (slope > threshold) {\n    trend = 'improving';\n  } else if (slope < -threshold) {\n    trend = 'declining';\n  } else {\n    trend = 'stable';\n  }\n\n  return { metric, trend, change, points };\n}\n\nexport function buildTrendLines(\n  snapshots: AuditSnapshot[],\n): Record<string, TrendAnalysis> {\n  if (snapshots.length === 0) {\n    return {};\n  }\n\n  // Sort by date\n  const sorted = [...snapshots].sort((a, b) => a.date.localeCompare(b.date));\n\n  // Overall score trend\n  const overallPoints: TrendPoint[] = sorted.map((s) => ({ date: s.date, value: s.score }));\n  const result: Record<string, TrendAnalysis> = {\n    overall: analyzeTrend(overallPoints, 'overall'),\n  };\n\n  // Per-category trends\n  const categories = Object.keys(sorted[0]!.categories) as Array<keyof typeof sorted[0]['categories']>;\n  for (const category of categories) {\n    const categoryPoints: TrendPoint[] = sorted.map((s) => ({\n      date: s.date,\n      value: s.categories[category],\n    }));\n    result[category] = analyzeTrend(categoryPoints, category);\n  }\n\n  return result;\n}\n\nexport function detectAnomalies(points: TrendPoint[], threshold = 2): TrendPoint[] {\n  if (points.length < 3) {\n    return [];\n  }\n\n  const values = points.map((p) => p.value);\n  const mean = values.reduce((a, b) => a + b, 0) / values.length;\n  const variance = values.reduce((sum, v) => sum + (v - mean) ** 2, 0) / values.length;\n  const stdDev = Math.sqrt(variance);\n\n  if (stdDev === 0) {\n    return [];\n  }\n\n  return points.filter((p) => Math.abs(p.value - mean) > threshold * stdDev);\n}\n","// ============================================================================\n// @power-seo/analytics — Query Ranking Analysis\n// ============================================================================\n\nimport type { GscQueryData, RankingAnalysis, RankingBucket, PositionChange } from './types.js';\n\nconst BUCKET_RANGES = [\n  { range: '1-3', min: 1, max: 3 },\n  { range: '4-10', min: 4, max: 10 },\n  { range: '11-20', min: 11, max: 20 },\n  { range: '21-100', min: 21, max: 100 },\n];\n\nexport function analyzeQueryRankings(queries: GscQueryData[]): RankingAnalysis {\n  if (queries.length === 0) {\n    return { totalQueries: 0, buckets: BUCKET_RANGES.map((r) => ({ range: r.range, count: 0, queries: [] })), strikingDistance: [] };\n  }\n\n  const buckets: RankingBucket[] = BUCKET_RANGES.map((range) => {\n    const matching = queries.filter(\n      (q) => q.position >= range.min && q.position <= range.max,\n    );\n    return {\n      range: range.range,\n      count: matching.length,\n      queries: matching,\n    };\n  });\n\n  // Striking distance: position 4-20, sorted by impressions descending\n  const strikingDistance = queries\n    .filter((q) => q.position >= 4 && q.position <= 20)\n    .sort((a, b) => b.impressions - a.impressions);\n\n  return {\n    totalQueries: queries.length,\n    buckets,\n    strikingDistance,\n  };\n}\n\nexport function trackPositionChanges(\n  current: GscQueryData[],\n  previous: GscQueryData[],\n): PositionChange[] {\n  if (current.length === 0 && previous.length === 0) {\n    return [];\n  }\n\n  const prevMap = new Map<string, GscQueryData>();\n  for (const q of previous) {\n    prevMap.set(q.query, q);\n  }\n\n  const changes: PositionChange[] = [];\n\n  for (const curr of current) {\n    const prev = prevMap.get(curr.query);\n    if (prev) {\n      changes.push({\n        query: curr.query,\n        previousPosition: prev.position,\n        currentPosition: curr.position,\n        change: prev.position - curr.position, // positive = improvement\n        impressionChange: curr.impressions - prev.impressions,\n      });\n    }\n  }\n\n  return changes;\n}\n","// ============================================================================\n// @power-seo/analytics — Dashboard Data Builder\n// ============================================================================\n\nimport type { DashboardInput, DashboardData, DashboardOverview } from './types.js';\nimport { buildTrendLines } from './trends.js';\n\nexport function buildDashboardData(input: DashboardInput): DashboardData {\n  const { gscPages = [], gscQueries = [], auditResults = [], auditHistory = [] } = input;\n\n  // Overview metrics\n  const totalClicks = gscPages.reduce((sum, p) => sum + p.clicks, 0);\n  const totalImpressions = gscPages.reduce((sum, p) => sum + p.impressions, 0);\n  const averageCtr = gscPages.length > 0\n    ? Math.round((gscPages.reduce((sum, p) => sum + p.ctr, 0) / gscPages.length) * 10000) / 10000\n    : 0;\n  const averagePosition = gscPages.length > 0\n    ? Math.round((gscPages.reduce((sum, p) => sum + p.position, 0) / gscPages.length) * 10) / 10\n    : 0;\n  const averageAuditScore = auditResults.length > 0\n    ? Math.round(auditResults.reduce((sum, r) => sum + r.score, 0) / auditResults.length)\n    : 0;\n  const totalPages = Math.max(gscPages.length, auditResults.length);\n\n  const overview: DashboardOverview = {\n    totalClicks,\n    totalImpressions,\n    averageCtr,\n    averagePosition,\n    averageAuditScore,\n    totalPages,\n  };\n\n  // Top pages by clicks\n  const topPages = [...gscPages].sort((a, b) => b.clicks - a.clicks).slice(0, 10);\n\n  // Top queries by clicks\n  const topQueries = [...gscQueries].sort((a, b) => b.clicks - a.clicks).slice(0, 10);\n\n  // Trend lines from audit history\n  const trendLines = buildTrendLines(auditHistory);\n\n  // Collect issues from audit results\n  const issues: string[] = [];\n  for (const result of auditResults) {\n    issues.push(...result.recommendations);\n  }\n  // Deduplicate and limit\n  const uniqueIssues = [...new Set(issues)].slice(0, 20);\n\n  return {\n    overview,\n    topPages,\n    topQueries,\n    trendLines,\n    issues: uniqueIssues,\n  };\n}\n"]}

package.json

 {
   "name": "@power-seo/analytics",
-  "version": "1.0.0",
+  "version": "1.0.1",
   "description": "Analytics data processing: merge GSC data with audit results, trend analysis, ranking insights",
@@ -9,5 +9,5 @@ "license": "MIT",
     ".": {
+      "types": "./dist/index.d.ts",
       "import": "./dist/index.js",
-      "require": "./dist/index.cjs",
-      "types": "./dist/index.d.ts"
+      "require": "./dist/index.cjs"
     }
@@ -54,3 +54,3 @@ },
     "type": "git",
-    "url": "https://github.com/cybercraftbd/ccbd-power-seo.git",
+    "url": "git+https://github.com/CyberCraftBD/power-seo.git",
     "directory": "packages/analytics"
@@ -57,0 +57,0 @@ },

README.md

@@ -15,2 +15,8 @@ # @power-seo/analytics — SEO Analytics Engine for GSC Data, Trend Analysis, and Ranking Insights
 
+## Documentation
+
+- **Package docs:** [`apps/docs/src/content/docs/packages/analytics.mdx`](../../apps/docs/src/content/docs/packages/analytics.mdx)
+- **Ecosystem overview:** [`README.md`](../../README.md)
+- **Contributing guide:** [`CONTRIBUTING.md`](../../CONTRIBUTING.md)
+
 ## Features
@@ -66,9 +72,9 @@
   gscPages: [
-    { url: '/blog/react-seo',  clicks: 1240, impressions: 18500, ctr: 0.067, position: 4.2 },
-    { url: '/blog/meta-tags',  clicks:  380, impressions:  9200, ctr: 0.041, position: 8.7 },
-    { url: '/blog/seo-audit',  clicks:   55, impressions:  3100, ctr: 0.018, position: 19.1 },
+    { url: '/blog/react-seo', clicks: 1240, impressions: 18500, ctr: 0.067, position: 4.2 },
+    { url: '/blog/meta-tags', clicks: 380, impressions: 9200, ctr: 0.041, position: 8.7 },
+    { url: '/blog/seo-audit', clicks: 55, impressions: 3100, ctr: 0.018, position: 19.1 },
   ],
   gscQueries: [
     { query: 'react seo guide', clicks: 820, impressions: 9400, ctr: 0.087, position: 3.1 },
-    { query: 'meta tags react', clicks: 290, impressions: 5800, ctr: 0.050, position: 7.4 },
+    { query: 'meta tags react', clicks: 290, impressions: 5800, ctr: 0.05, position: 7.4 },
   ],
@@ -82,6 +88,6 @@ auditResults: [
 
-console.log(dashboard.overview.totalClicks);       // 1675
-console.log(dashboard.overview.averagePosition);   // 10.67
+console.log(dashboard.overview.totalClicks); // 1675
+console.log(dashboard.overview.averagePosition); // 10.67
 console.log(dashboard.overview.averageAuditScore); // 67.7
-console.log(dashboard.topPages[0].url);            // '/blog/react-seo'
+console.log(dashboard.topPages[0].url); // '/blog/react-seo'
 ```
@@ -100,4 +106,16 @@
 const gscPages: GscPageData[] = [
-  { url: 'https://example.com/blog/post-1', clicks: 850, impressions: 12000, ctr: 0.071, position: 5.3 },
-  { url: 'https://example.com/blog/post-2', clicks: 220, impressions:  6500, ctr: 0.034, position: 12.1 },
+  {
+    url: 'https://example.com/blog/post-1',
+    clicks: 850,
+    impressions: 12000,
+    ctr: 0.071,
+    position: 5.3,
+  },
+  {
+    url: 'https://example.com/blog/post-2',
+    clicks: 220,
+    impressions: 6500,
+    ctr: 0.034,
+    position: 12.1,
+  },
 ];
@@ -107,3 +125,7 @@
   { url: '/blog/post-1', score: 91, issues: [] },
-  { url: '/blog/post-2', score: 63, issues: [{ rule: 'meta-description', severity: 'error', message: '...' }] },
+  {
+    url: '/blog/post-2',
+    score: 63,
+    issues: [{ rule: 'meta-description', severity: 'error', message: '...' }],
+  },
 ];
@@ -154,5 +176,5 @@
 const trend: TrendAnalysis = analyzeTrend(weeklyClicks);
-console.log(trend.direction);   // 'up' | 'down' | 'stable'
-console.log(trend.rate);        // % change per period, e.g. 5.8
-console.log(trend.confidence);  // 0-1, linearity confidence, e.g. 0.87
+console.log(trend.direction); // 'up' | 'down' | 'stable'
+console.log(trend.rate); // % change per period, e.g. 5.8
+console.log(trend.confidence); // 0-1, linearity confidence, e.g. 0.87
 
@@ -176,3 +198,3 @@ // Build chart-ready trend line data
   { date: '2026-02-06', value: 9100 },
-  { date: '2026-02-07', value: 2100 },  // drop — server issue?
+  { date: '2026-02-07', value: 2100 }, // drop — server issue?
   { date: '2026-02-08', value: 8800 },
@@ -196,7 +218,7 @@ ];
 const queries: GscQueryData[] = [
-  { query: 'react seo',         clicks: 820, impressions: 9400, ctr: 0.087, position:  2.1 },
-  { query: 'seo audit tool',    clicks: 340, impressions: 6200, ctr: 0.055, position:  6.8 },
-  { query: 'meta tags guide',   clicks: 180, impressions: 4800, ctr: 0.038, position: 14.3 },
-  { query: 'sitemap generator', clicks:  30, impressions: 2100, ctr: 0.014, position: 28.7 },
-  { query: 'seo typescript',    clicks:   5, impressions: 1200, ctr: 0.004, position: 67.2 },
+  { query: 'react seo', clicks: 820, impressions: 9400, ctr: 0.087, position: 2.1 },
+  { query: 'seo audit tool', clicks: 340, impressions: 6200, ctr: 0.055, position: 6.8 },
+  { query: 'meta tags guide', clicks: 180, impressions: 4800, ctr: 0.038, position: 14.3 },
+  { query: 'sitemap generator', clicks: 30, impressions: 2100, ctr: 0.014, position: 28.7 },
+  { query: 'seo typescript', clicks: 5, impressions: 1200, ctr: 0.004, position: 67.2 },
 ];
@@ -206,11 +228,14 @@
 
-console.log('Position 1-3:',   analysis.buckets['1-3'].length,   'queries');
-console.log('Position 4-10:',  analysis.buckets['4-10'].length,  'queries');
+console.log('Position 1-3:', analysis.buckets['1-3'].length, 'queries');
+console.log('Position 4-10:', analysis.buckets['4-10'].length, 'queries');
 console.log('Position 11-20:', analysis.buckets['11-20'].length, 'queries');
 console.log('Position 21-50:', analysis.buckets['21-50'].length, 'queries');
-console.log('Position 50+:',   analysis.buckets['50+'].length,   'queries');
+console.log('Position 50+:', analysis.buckets['50+'].length, 'queries');
 
 // Quick-win opportunities: ranked 11-20 with good impressions
 const quickWins = analysis.buckets['11-20'].filter((q) => q.impressions > 2000);
-console.log('Quick-win queries:', quickWins.map((q) => q.query));
+console.log(
+  'Quick-win queries:',
+  quickWins.map((q) => q.query),
+);
 ```
@@ -226,3 +251,3 @@
   { query: 'react seo guide', clicks: 320, impressions: 8200, ctr: 0.039, position: 8.4 },
-  { query: 'seo audit',       clicks:  45, impressions: 1900, ctr: 0.024, position: 22.0 },
+  { query: 'seo audit', clicks: 45, impressions: 1900, ctr: 0.024, position: 22.0 },
 ];
@@ -232,4 +257,4 @@
   { query: 'react seo guide', clicks: 580, impressions: 9800, ctr: 0.059, position: 5.1 },
-  { query: 'seo audit',       clicks:  88, impressions: 2200, ctr: 0.040, position: 14.3 },
-  { query: 'seo typescript',  clicks:  12, impressions:  800, ctr: 0.015, position: 31.0 },
+  { query: 'seo audit', clicks: 88, impressions: 2200, ctr: 0.04, position: 14.3 },
+  { query: 'seo typescript', clicks: 12, impressions: 800, ctr: 0.015, position: 31.0 },
 ];
@@ -254,4 +279,4 @@
 const dashboard: DashboardData = buildDashboardData({
-  gscPages:     allGscPages,
-  gscQueries:   allGscQueries,
+  gscPages: allGscPages,
+  gscQueries: allGscQueries,
   auditResults: allAuditResults,
@@ -270,3 +295,3 @@ topN: 10,
 dashboard.topPages.forEach(({ url, clicks, auditScore }) =>
-  console.log(`${url}: ${clicks} clicks, score=${auditScore ?? 'N/A'}`)
+  console.log(`${url}: ${clicks} clicks, score=${auditScore ?? 'N/A'}`),
 );
@@ -276,3 +301,3 @@
 dashboard.topQueries.forEach(({ query, clicks, position }) =>
-  console.log(`"${query}": ${clicks} clicks @ position ${position.toFixed(1)}`)
+  console.log(`"${query}": ${clicks} clicks @ position ${position.toFixed(1)}`),
 );
@@ -285,3 +310,3 @@
 dashboard.issues.forEach(({ rule, severity, affectedPages }) =>
-  console.log(`[${severity}] ${rule}: affects ${affectedPages} pages`)
+  console.log(`[${severity}] ${rule}: affects ${affectedPages} pages`),
 );
@@ -294,6 +319,6 @@ ```
 
-| Parameter | Type | Default | Description |
-|-----------|------|---------|-------------|
-| `input.gscPages` | `GscPageData[]` | required | Google Search Console page performance data |
-| `input.auditResults` | `AuditSnapshot[]` | required | Audit results with URL, score, and issues |
+| Parameter            | Type              | Default  | Description                                 |
+| -------------------- | ----------------- | -------- | ------------------------------------------- |
+| `input.gscPages`     | `GscPageData[]`   | required | Google Search Console page performance data |
+| `input.auditResults` | `AuditSnapshot[]` | required | Audit results with URL, score, and issues   |
 
@@ -306,4 +331,4 @@ Returns `PageInsight[]` — merged records keyed by normalized URL.
 
-| Parameter | Type | Default | Description |
-|-----------|------|---------|-------------|
+| Parameter  | Type            | Default  | Description                                               |
+| ---------- | --------------- | -------- | --------------------------------------------------------- |
 | `insights` | `PageInsight[]` | required | Merged page insights with both audit score and click data |
@@ -317,5 +342,5 @@
 
-| Parameter | Type | Default | Description |
-|-----------|------|---------|-------------|
-| `points` | `TrendPoint[]` | required | Time-ordered `{ date: string; value: number }` array |
+| Parameter | Type           | Default  | Description                                          |
+| --------- | -------------- | -------- | ---------------------------------------------------- |
+| `points`  | `TrendPoint[]` | required | Time-ordered `{ date: string; value: number }` array |
 
@@ -328,5 +353,5 @@ Returns `TrendAnalysis`: `{ direction: TrendDirection; rate: number; confidence: number }`.
 
-| Parameter | Type | Default | Description |
-|-----------|------|---------|-------------|
-| `points` | `TrendPoint[]` | required | Time-ordered data points |
+| Parameter | Type           | Default  | Description              |
+| --------- | -------------- | -------- | ------------------------ |
+| `points`  | `TrendPoint[]` | required | Time-ordered data points |
 
@@ -339,6 +364,6 @@ Returns `Array<{ date: string; actual: number; trend: number }>`.
 
-| Parameter | Type | Default | Description |
-|-----------|------|---------|-------------|
-| `points` | `TrendPoint[]` | required | Time-ordered data points |
-| `options.threshold` | `number` | `2.0` | Standard deviation multiplier for anomaly detection |
+| Parameter           | Type           | Default  | Description                                         |
+| ------------------- | -------------- | -------- | --------------------------------------------------- |
+| `points`            | `TrendPoint[]` | required | Time-ordered data points                            |
+| `options.threshold` | `number`       | `2.0`    | Standard deviation multiplier for anomaly detection |
 
@@ -351,4 +376,4 @@ Returns `Array<{ date: string; value: number; type: 'spike' | 'drop'; delta: number }>`.
 
-| Parameter | Type | Default | Description |
-|-----------|------|---------|-------------|
+| Parameter | Type             | Default  | Description                         |
+| --------- | ---------------- | -------- | ----------------------------------- |
 | `queries` | `GscQueryData[]` | required | GSC query data with position values |
@@ -362,6 +387,6 @@
 
-| Parameter | Type | Default | Description |
-|-----------|------|---------|-------------|
-| `before` | `GscQueryData[]` | required | Ranking snapshot from the earlier period |
-| `after` | `GscQueryData[]` | required | Ranking snapshot from the later period |
+| Parameter | Type             | Default  | Description                              |
+| --------- | ---------------- | -------- | ---------------------------------------- |
+| `before`  | `GscQueryData[]` | required | Ranking snapshot from the earlier period |
+| `after`   | `GscQueryData[]` | required | Ranking snapshot from the later period   |
 
@@ -374,9 +399,9 @@ Returns `PositionChange[]`.
 
-| Parameter | Type | Default | Description |
-|-----------|------|---------|-------------|
-| `input.gscPages` | `GscPageData[]` | required | GSC page performance data |
-| `input.gscQueries` | `GscQueryData[]` | required | GSC query performance data |
+| Parameter            | Type              | Default  | Description                                         |
+| -------------------- | ----------------- | -------- | --------------------------------------------------- |
+| `input.gscPages`     | `GscPageData[]`   | required | GSC page performance data                           |
+| `input.gscQueries`   | `GscQueryData[]`  | required | GSC query performance data                          |
 | `input.auditResults` | `AuditSnapshot[]` | required | Audit results for correlation and issue aggregation |
-| `input.trendData` | `TrendPoint[]` | `[]` | Optional time-series data for trend charts |
-| `input.topN` | `number` | `10` | Number of top pages/queries to include |
+| `input.trendData`    | `TrendPoint[]`    | `[]`     | Optional time-series data for trend charts          |
+| `input.topN`         | `number`          | `10`     | Number of top pages/queries to include              |
 
@@ -391,15 +416,15 @@ Returns `DashboardData`.
 import type {
-  GscPageData,        // { url, clicks, impressions, ctr, position }
-  GscQueryData,       // { query, clicks, impressions, ctr, position }
-  AuditSnapshot,      // { url, score, issues }
-  TrendPoint,         // { date: string; value: number }
-  TrendDirection,     // 'up' | 'down' | 'stable'
-  TrendAnalysis,      // { direction, rate, confidence }
-  PageInsight,        // Merged GscPageData + AuditSnapshot
-  RankingBucket,      // '1-3' | '4-10' | '11-20' | '21-50' | '50+'
-  RankingAnalysis,    // { buckets: Record<RankingBucket, GscQueryData[]>; totalQueries }
-  PositionChange,     // { query, before?, after?, delta?, direction }
-  DashboardInput,     // { gscPages, gscQueries, auditResults, trendData?, topN? }
-  DashboardOverview,  // { totalClicks, totalImpressions, averageCtr, averagePosition, averageAuditScore, pagesWithErrors }
-  DashboardData,      // { overview, topPages, topQueries, trendLines, issues }
+  GscPageData, // { url, clicks, impressions, ctr, position }
+  GscQueryData, // { query, clicks, impressions, ctr, position }
+  AuditSnapshot, // { url, score, issues }
+  TrendPoint, // { date: string; value: number }
+  TrendDirection, // 'up' | 'down' | 'stable'
+  TrendAnalysis, // { direction, rate, confidence }
+  PageInsight, // Merged GscPageData + AuditSnapshot
+  RankingBucket, // '1-3' | '4-10' | '11-20' | '21-50' | '50+'
+  RankingAnalysis, // { buckets: Record<RankingBucket, GscQueryData[]>; totalQueries }
+  PositionChange, // { query, before?, after?, delta?, direction }
+  DashboardInput, // { gscPages, gscQueries, auditResults, trendData?, topN? }
+  DashboardOverview, // { totalClicks, totalImpressions, averageCtr, averagePosition, averageAuditScore, pagesWithErrors }
+  DashboardData, // { overview, topPages, topQueries, trendLines, issues }
 } from '@power-seo/analytics';
@@ -412,21 +437,21 @@ ```
 
-| Package | Install | Description |
-|---------|---------|-------------|
-| [`@power-seo/core`](https://www.npmjs.com/package/@power-seo/core) | `npm i @power-seo/core` | Framework-agnostic utilities, types, validators, and constants |
-| [`@power-seo/react`](https://www.npmjs.com/package/@power-seo/react) | `npm i @power-seo/react` | React SEO components — meta, Open Graph, Twitter Card, breadcrumbs |
-| [`@power-seo/meta`](https://www.npmjs.com/package/@power-seo/meta) | `npm i @power-seo/meta` | SSR meta helpers for Next.js App Router, Remix v2, and generic SSR |
-| [`@power-seo/schema`](https://www.npmjs.com/package/@power-seo/schema) | `npm i @power-seo/schema` | Type-safe JSON-LD structured data — 20 builders + 18 React components |
-| [`@power-seo/content-analysis`](https://www.npmjs.com/package/@power-seo/content-analysis) | `npm i @power-seo/content-analysis` | Yoast-style SEO content scoring engine with React components |
-| [`@power-seo/readability`](https://www.npmjs.com/package/@power-seo/readability) | `npm i @power-seo/readability` | Readability scoring — Flesch-Kincaid, Gunning Fog, Coleman-Liau, ARI |
-| [`@power-seo/preview`](https://www.npmjs.com/package/@power-seo/preview) | `npm i @power-seo/preview` | SERP, Open Graph, and Twitter/X Card preview generators |
-| [`@power-seo/sitemap`](https://www.npmjs.com/package/@power-seo/sitemap) | `npm i @power-seo/sitemap` | XML sitemap generation, streaming, index splitting, and validation |
-| [`@power-seo/redirects`](https://www.npmjs.com/package/@power-seo/redirects) | `npm i @power-seo/redirects` | Redirect engine with Next.js, Remix, and Express adapters |
-| [`@power-seo/links`](https://www.npmjs.com/package/@power-seo/links) | `npm i @power-seo/links` | Link graph analysis — orphan detection, suggestions, equity scoring |
-| [`@power-seo/audit`](https://www.npmjs.com/package/@power-seo/audit) | `npm i @power-seo/audit` | Full SEO audit engine — meta, content, structure, performance rules |
-| [`@power-seo/images`](https://www.npmjs.com/package/@power-seo/images) | `npm i @power-seo/images` | Image SEO — alt text, lazy loading, format analysis, image sitemaps |
-| [`@power-seo/ai`](https://www.npmjs.com/package/@power-seo/ai) | `npm i @power-seo/ai` | LLM-agnostic AI prompt templates and parsers for SEO tasks |
-| [`@power-seo/analytics`](https://www.npmjs.com/package/@power-seo/analytics) | `npm i @power-seo/analytics` | Merge GSC + audit data, trend analysis, ranking insights, dashboard |
-| [`@power-seo/search-console`](https://www.npmjs.com/package/@power-seo/search-console) | `npm i @power-seo/search-console` | Google Search Console API — OAuth2, service account, URL inspection |
-| [`@power-seo/integrations`](https://www.npmjs.com/package/@power-seo/integrations) | `npm i @power-seo/integrations` | Semrush and Ahrefs API clients with rate limiting and pagination |
-| [`@power-seo/tracking`](https://www.npmjs.com/package/@power-seo/tracking) | `npm i @power-seo/tracking` | GA4, Clarity, PostHog, Plausible, Fathom — scripts + consent management |
+| Package                                                                                    | Install                             | Description                                                             |
+| ------------------------------------------------------------------------------------------ | ----------------------------------- | ----------------------------------------------------------------------- |
+| [`@power-seo/core`](https://www.npmjs.com/package/@power-seo/core)                         | `npm i @power-seo/core`             | Framework-agnostic utilities, types, validators, and constants          |
+| [`@power-seo/react`](https://www.npmjs.com/package/@power-seo/react)                       | `npm i @power-seo/react`            | React SEO components — meta, Open Graph, Twitter Card, breadcrumbs      |
+| [`@power-seo/meta`](https://www.npmjs.com/package/@power-seo/meta)                         | `npm i @power-seo/meta`             | SSR meta helpers for Next.js App Router, Remix v2, and generic SSR      |
+| [`@power-seo/schema`](https://www.npmjs.com/package/@power-seo/schema)                     | `npm i @power-seo/schema`           | Type-safe JSON-LD structured data — 20 builders + 18 React components   |
+| [`@power-seo/content-analysis`](https://www.npmjs.com/package/@power-seo/content-analysis) | `npm i @power-seo/content-analysis` | Yoast-style SEO content scoring engine with React components            |
+| [`@power-seo/readability`](https://www.npmjs.com/package/@power-seo/readability)           | `npm i @power-seo/readability`      | Readability scoring — Flesch-Kincaid, Gunning Fog, Coleman-Liau, ARI    |
+| [`@power-seo/preview`](https://www.npmjs.com/package/@power-seo/preview)                   | `npm i @power-seo/preview`          | SERP, Open Graph, and Twitter/X Card preview generators                 |
+| [`@power-seo/sitemap`](https://www.npmjs.com/package/@power-seo/sitemap)                   | `npm i @power-seo/sitemap`          | XML sitemap generation, streaming, index splitting, and validation      |
+| [`@power-seo/redirects`](https://www.npmjs.com/package/@power-seo/redirects)               | `npm i @power-seo/redirects`        | Redirect engine with Next.js, Remix, and Express adapters               |
+| [`@power-seo/links`](https://www.npmjs.com/package/@power-seo/links)                       | `npm i @power-seo/links`            | Link graph analysis — orphan detection, suggestions, equity scoring     |
+| [`@power-seo/audit`](https://www.npmjs.com/package/@power-seo/audit)                       | `npm i @power-seo/audit`            | Full SEO audit engine — meta, content, structure, performance rules     |
+| [`@power-seo/images`](https://www.npmjs.com/package/@power-seo/images)                     | `npm i @power-seo/images`           | Image SEO — alt text, lazy loading, format analysis, image sitemaps     |
+| [`@power-seo/ai`](https://www.npmjs.com/package/@power-seo/ai)                             | `npm i @power-seo/ai`               | LLM-agnostic AI prompt templates and parsers for SEO tasks              |
+| [`@power-seo/analytics`](https://www.npmjs.com/package/@power-seo/analytics)               | `npm i @power-seo/analytics`        | Merge GSC + audit data, trend analysis, ranking insights, dashboard     |
+| [`@power-seo/search-console`](https://www.npmjs.com/package/@power-seo/search-console)     | `npm i @power-seo/search-console`   | Google Search Console API — OAuth2, service account, URL inspection     |
+| [`@power-seo/integrations`](https://www.npmjs.com/package/@power-seo/integrations)         | `npm i @power-seo/integrations`     | Semrush and Ahrefs API clients with rate limiting and pagination        |
+| [`@power-seo/tracking`](https://www.npmjs.com/package/@power-seo/tracking)                 | `npm i @power-seo/tracking`         | GA4, Clarity, PostHog, Plausible, Fathom — scripts + consent management |
 
@@ -439,9 +464,9 @@ ---
 
-| | |
-|---|---|
-| **Website** | [ccbd.dev](https://ccbd.dev) |
-| **GitHub** | [github.com/cybercraftbd](https://github.com/cybercraftbd) |
+|                      |                                                                |
+| -------------------- | -------------------------------------------------------------- |
+| **Website**          | [ccbd.dev](https://ccbd.dev)                                   |
+| **GitHub**           | [github.com/cybercraftbd](https://github.com/cybercraftbd)     |
 | **npm Organization** | [npmjs.com/org/power-seo](https://www.npmjs.com/org/power-seo) |
-| **Email** | [[e-mail]](mailto:[e-mail]) |
+| **Email**            | [[e-mail]](mailto:[e-mail])                          |
 
 © 2026 CyberCraft Bangladesh · Released under the [MIT License](../../LICENSE)

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