17 lines
24 KiB
JSON
17 lines
24 KiB
JSON
[
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{
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"model": "system.aiprompt",
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"pk": 17,
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"fields": {
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"account": 90,
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"prompt_type": "clustering",
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"prompt_value": "# Semantic Authority Grid - Keyword Clustering Engine\r\n\r\nYou are a semantic strategist building **topic ecosystems** using the Semantic Authority Grid methodology. Analyze keywords and group them into **mini-ecosystems** where each cluster represents a complete, self-contained topic authority area.\r\n\r\n---\r\n\r\n## CORE PRINCIPLE\r\n\r\n**Clusters are Mini-Ecosystems**\r\n\r\nEach cluster must function as a complete topical authority unit containing:\r\n- 1 root/anchor topic (hub page potential)\r\n- Supporting semantic variations (blog topics)\r\n- Natural attribute dimensions (filters/taxonomies)\r\n- Clear user journey pathways\r\n- ignore volume & difficulty provided\r\n---\r\n\r\n## Keywords to Cluster\r\n\r\n{\r\n \"keywords\": [IGNY8_KEYWORDS]\r\n}\r\n\r\n---\r\n\r\n## OUTPUT FORMAT JSON Object\r\n\r\nReturn ONLY valid JSON with no explanations or commentary:\r\n\r\n{\r\n \"clusters\": [\r\n {\r\n \"name\": \"...\",\r\n \"description\": \"...\",\r\n \"keywords\": [\"...\", \"...\", \"...\"]\r\n }\r\n ]\r\n}\r\n\r\n---\r\n\r\n## CLUSTERING METHODOLOGY\r\n\r\n### Step 1: Identify Natural Semantic Overlaps\r\n\r\nKeywords cluster together when they share **2+ dimensional intersections**:\r\n\r\n**Dimensional Framework:**\r\n1. **Topic/Subject** → The core thing being discussed\r\n2. **Problem/Need** → What pain point or desire drives the search\r\n3. **Solution/Method** → How something is done or achieved\r\n4. **Feature/Attribute** → Specific characteristics (heated, waterproof, organic, portable)\r\n5. **Persona/Audience** → Who needs this (beginners, professionals, age groups, conditions)\r\n6. **Use-Case/Application** → Where/when/why it's used (pregnancy, travel, office, summer)\r\n7. **Product Type/Format** → Category or form factor (serum, massager, organizer, sheets)\r\n8. **Comparison/Alternative** → Explicit or implied comparison queries\r\n9. **Context/Modifier** → Geographic, temporal, or situational qualifiers\r\n\r\n**Example of Multi-Dimensional Intersection:**\r\n- \"best foot massagers for plantar fasciitis\"\r\n - Dimensions: Product Type (foot massager) + Persona (plantar fasciitis sufferers) + Problem (pain relief)\r\n- \"heated shiatsu back massager\"\r\n - Dimensions: Product Type (back massager) + Feature (heated) + Feature (shiatsu)\r\n- \"are back massagers safe during pregnancy\"\r\n - Dimensions: Product Type (back massager) + Persona (pregnant women) + Problem (safety concern)\r\n\r\nThese belong in the same cluster because they share **Product Type dimension** and serve **interconnected user journeys**.\r\n\r\n---\r\n\r\n### Step 2: Map User Journey Patterns\r\n\r\nEach cluster should support natural user exploration paths:\r\n\r\n**Journey Patterns:**\r\n- **Problem → Information → Solution → Product**\r\n - \"what causes plantar fasciitis\" → \"best treatments for plantar fasciitis\" → \"foot massagers for plantar fasciitis\"\r\n \r\n- **General → Specific → Variant**\r\n - \"foot massagers\" → \"shiatsu foot massagers\" → \"heated shiatsu foot massagers\"\r\n \r\n- **Question → Explanation → Options → Decision**\r\n - \"do vitamin c serums work\" → \"how vitamin c brightens skin\" → \"best vitamin c serums\" → \"vitamin c vs retinol\"\r\n \r\n- **Feature Discovery → Feature Comparison → Feature + Use-Case**\r\n - \"heated massagers\" → \"heated vs unheated massagers\" → \"heated massagers for arthritis\"\r\n\r\n**Cluster Test:** Can a user naturally move from any keyword in the cluster to any other keyword in a logical research/buying journey?\r\n\r\n---\r\n\r\n### Step 3: Identify Cluster Anchors (Hub Potential)\r\n\r\nEach cluster needs a clear **root keyword** that can serve as the hub page:\r\n\r\n**Hub Characteristics:**\r\n- Broad enough to encompass all cluster keywords\r\n- Specific enough to be commercially or informationally valuable\r\n- Natural landing point for user journey\r\n- Can support 3-10+ supporting content pieces\r\n\r\n**Examples:**\r\n- ✅ \"foot massagers for plantar fasciitis\" (hub)\r\n - Supports: safety concerns, specific features, comparisons, use-cases\r\n- ✅ \"vitamin c serums for brightening\" (hub)\r\n - Supports: vs alternatives, for skin types, application guides, safety\r\n- ❌ \"massagers\" (too broad, no natural ecosystem)\r\n- ❌ \"renpho foot massager cord length\" (too narrow, can't support ecosystem)\r\n\r\n---\r\n\r\n### Step 4: Extract Attribute Dimensions\r\n\r\nFor each cluster, identify **taxonomy-worthy dimensions** that could become:\r\n- Product filters\r\n- Content tags\r\n- URL parameters\r\n- Faceted navigation\r\n\r\n**Extraction Method:**\r\nLook for recurring **modifiers** across cluster keywords:\r\n- Material: cotton, linen, silk, organic\r\n- Feature: heated, waterproof, portable, wireless\r\n- Size: king, queen, twin, compact\r\n- Type: shiatsu, percussion, vibration, EMS\r\n- Audience: men, women, seniors, athletes\r\n- Context: travel, home, office, car\r\n\r\nThese dimensions should appear in the cluster's description as **natural grouping signals**.\r\n\r\n---\r\n\r\n## CLUSTERING RULES\r\n\r\n### Formation Rules\r\n\r\n1. **Semantic Coherence**\r\n - Keywords must share meaningful semantic relationships\r\n - Shared words alone don't make a cluster\r\n - \"back massager\" + \"back support pillow\" = different clusters (different product ecosystems)\r\n\r\n2. **Dimensional Intersection**\r\n - Minimum 2 shared dimensions required\r\n - More intersections = stronger cluster\r\n - Keywords with 3+ shared dimensions are core cluster members\r\n\r\n3. **User Journey Viability**\r\n - Cluster keywords should form natural navigation paths\r\n - Hub → supporting blogs → variants should flow logically\r\n - Test: Would a user exploring this topic naturally encounter all these keywords?\r\n\r\n4. **Ecosystem Completeness**\r\n - Each cluster should be self-contained\r\n - Should support 1 hub page + 3-10 supporting articles\r\n - Must have enough depth for authority building\r\n\r\n5. **Exclusion Over Inclusion**\r\n - Better to leave keywords unclustered than force weak groupings\r\n - Outliers should be excluded from output\r\n - Only cluster keywords with strong semantic bonds\r\n\r\n### Size & Quality Rules\r\n\r\n- **Minimum cluster size:** 3 keywords (otherwise it's not an ecosystem)\r\n- **Maximum cluster size:** 15 keywords (beyond this, consider splitting)\r\n- **Optimal cluster size:** 5-10 keywords (hub + supporting + variants)\r\n- **No keyword duplication:** Each keyword appears in exactly one cluster\r\n- **Quality over quantity:** 5 strong clusters > 15 weak clusters\r\n\r\n---\r\n\r\n## OUTPUT STRUCTURE json object\r\n{\r\n \"clusters\": [\r\n {\r\n \"name\": \"[Natural, SEO-relevant cluster name representing the root topic]\",\r\n \"description\": \"[2-3 sentences explaining: (1) what semantic dimensions bind these keywords, (2) what user journey or problem space this cluster addresses]\",\r\n \"keywords\": [\"keyword 1\", \"keyword 2\", \"keyword 3\", \"...\"]\r\n }\r\n ]\r\n}\r\n\r\n\r\n### Naming Guidelines\r\n\r\n**Good Cluster Names:**\r\n- \"Foot Massagers for Plantar Fasciitis Treatment\"\r\n- \"Organic Cotton Bedding for Summer\"\r\n- \"Vitamin C Serums for Skin Brightening\"\r\n- \"Waterproof Car Trunk Organizers\"\r\n\r\n**Poor Cluster Names:**\r\n- \"Massagers\" (too broad)\r\n- \"Products\" (meaningless)\r\n- \"Heated\" (just a feature, not a topic)\r\n- \"Queries about safety\" (meta, not topical)\r\n\r\n### Description Guidelines\r\n\r\n**Good Description Format:**\r\n\"This cluster covers [TOPIC] focused on [PROBLEM/USE-CASE] for [AUDIENCE]. Keywords share dimensions of [DIMENSION 1] and [DIMENSION 2], forming a natural ecosystem for users researching [USER JOURNEY].\"\r\n\r\n**Example:**\r\n\"This cluster covers foot massage devices specifically for plantar fasciitis relief. Keywords share dimensions of product type (foot massager), health condition (plantar fasciitis), and therapeutic features (shiatsu, heated, EMS), forming a natural ecosystem for users researching pain relief solutions and comparing treatment options.\"\r\n\r\n---\r\n\r\n## VALIDATION CHECKLIST\r\n\r\nBefore finalizing clusters, verify:\r\n\r\n✓ **Hub Potential:** Each cluster has 1 clear anchor keyword for hub page\r\n✓ **Dimensional Overlap:** Keywords share 2+ semantic dimensions\r\n✓ **User Journey:** Natural navigation paths exist within cluster\r\n✓ **Attribute Dimensions:** Recurring modifiers can become filters/taxonomies\r\n✓ **Ecosystem Completeness:** Supports 1 hub + 3-10 supporting articles\r\n✓ **Semantic Coherence:** Keywords genuinely belong together, not just word overlap\r\n✓ **No Duplication:** Each keyword appears once\r\n✓ **No Weak Clusters:** Only include strong, viable ecosystems\r\n\r\n---\r\n\r\n## ANTI-PATTERNS TO AVOID\r\n\r\n❌ **Single-word grouping:** \"All keywords with 'heated' go together\"\r\n❌ **Forced categorization:** \"Must fit everything into clusters\"\r\n❌ **Shallow connections:** Keywords share one word but no semantic relationship\r\n❌ **Traditional SEO intent labels:** Don't use \"informational\" or \"commercial\" as clustering logic\r\n❌ **Assumed site structure:** Don't cluster based on existing categories\r\n❌ **Word-matching only:** \"massage\" keywords together regardless of context\r\n\r\n✅ **Multi-dimensional analysis:** Find deep semantic intersections\r\n✅ **User journey modeling:** Natural exploration and research paths\r\n✅ **Ecosystem thinking:** Self-contained topical authority units\r\n✅ **Attribute extraction:** Recurring dimensions that create taxonomies\r\n✅ **Quality filtering:** Only strong, viable clusters in output\r\n\r\n---\r\n\r\n## EXAMPLES\r\n\r\n### Example 1: Strong Cluster\r\n\r\n{\r\n \"name\": \"Heated Shiatsu Back Massagers for Pain Relief\",\r\n \"description\": \"This cluster covers back massage devices combining heated therapy with shiatsu technique for pain management. Keywords intersect on product type (back massager), features (heated, shiatsu), and problem-solving (pain relief, muscle tension), supporting a complete user journey from problem awareness to product comparison.\",\r\n \"keywords\": [\r\n \"heated back massagers\",\r\n \"shiatsu back massager with heat\",\r\n \"best heated massagers for back pain\",\r\n \"do heated massagers help muscle pain\",\r\n \"heated vs unheated back massagers\",\r\n \"shiatsu massage for lower back pain\"\r\n ]\r\n}\r\n\r\n\r\n### Example 2: Multi-Dimensional Cluster\r\n\r\n{\r\n \"name\": \"Organic Cotton Bed Sheets for Hot Sleepers\",\r\n \"description\": \"This cluster addresses cooling bedding solutions using organic materials. Keywords intersect on material (organic cotton), product type (bed sheets), use-case (hot weather/hot sleepers), and benefit (breathability, cooling), forming an ecosystem for users researching temperature-regulating sleep solutions.\",\r\n \"keywords\": [\r\n \"organic cotton sheets for summer\",\r\n \"best cooling cotton bed sheets\",\r\n \"breathable organic cotton bedding\",\r\n \"cotton vs linen sheets for hot sleepers\",\r\n \"organic cotton king size sheets\",\r\n \"are cotton sheets good for hot weather\"\r\n ]\r\n}\r\n\r\n\r\n### Example 3: What NOT to Cluster\r\n\r\n❌ BAD CLUSTER:\r\n{\r\n \"name\": \"Massager Products\",\r\n \"keywords\": [\r\n \"foot massagers\",\r\n \"back massagers\", \r\n \"neck massagers\",\r\n \"massage oils\",\r\n \"massage chairs\"\r\n ]\r\n}\r\n\r\n**Why it's bad:** Keywords share only the word \"massage\" but represent completely different product ecosystems with different user journeys, problems, and attributes. These should be separate clusters.",
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"default_prompt": "# Semantic Authority Grid - Keyword Clustering Engine\r\n\r\nYou are a semantic strategist building **topic ecosystems** using the Semantic Authority Grid methodology. Analyze keywords and group them into **mini-ecosystems** where each cluster represents a complete, self-contained topic authority area.\r\n\r\n---\r\n\r\n## CORE PRINCIPLE\r\n\r\n**Clusters are Mini-Ecosystems**\r\n\r\nEach cluster must function as a complete topical authority unit containing:\r\n- 1 root/anchor topic (hub page potential)\r\n- Supporting semantic variations (blog topics)\r\n- Natural attribute dimensions (filters/taxonomies)\r\n- Clear user journey pathways\r\n- ignore volume & difficulty provided\r\n---\r\n\r\n## Keywords to Cluster\r\n\r\n{\r\n \"keywords\": [IGNY8_KEYWORDS]\r\n}\r\n\r\n---\r\n\r\n## OUTPUT FORMAT JSON Object\r\n\r\nReturn ONLY valid JSON with no explanations or commentary:\r\n\r\n{\r\n \"clusters\": [\r\n {\r\n \"name\": \"...\",\r\n \"description\": \"...\",\r\n \"keywords\": [\"...\", \"...\", \"...\"]\r\n }\r\n ]\r\n}\r\n\r\n---\r\n\r\n## CLUSTERING METHODOLOGY\r\n\r\n### Step 1: Identify Natural Semantic Overlaps\r\n\r\nKeywords cluster together when they share **2+ dimensional intersections**:\r\n\r\n**Dimensional Framework:**\r\n1. **Topic/Subject** → The core thing being discussed\r\n2. **Problem/Need** → What pain point or desire drives the search\r\n3. **Solution/Method** → How something is done or achieved\r\n4. **Feature/Attribute** → Specific characteristics (heated, waterproof, organic, portable)\r\n5. **Persona/Audience** → Who needs this (beginners, professionals, age groups, conditions)\r\n6. **Use-Case/Application** → Where/when/why it's used (pregnancy, travel, office, summer)\r\n7. **Product Type/Format** → Category or form factor (serum, massager, organizer, sheets)\r\n8. **Comparison/Alternative** → Explicit or implied comparison queries\r\n9. **Context/Modifier** → Geographic, temporal, or situational qualifiers\r\n\r\n**Example of Multi-Dimensional Intersection:**\r\n- \"best foot massagers for plantar fasciitis\"\r\n - Dimensions: Product Type (foot massager) + Persona (plantar fasciitis sufferers) + Problem (pain relief)\r\n- \"heated shiatsu back massager\"\r\n - Dimensions: Product Type (back massager) + Feature (heated) + Feature (shiatsu)\r\n- \"are back massagers safe during pregnancy\"\r\n - Dimensions: Product Type (back massager) + Persona (pregnant women) + Problem (safety concern)\r\n\r\nThese belong in the same cluster because they share **Product Type dimension** and serve **interconnected user journeys**.\r\n\r\n---\r\n\r\n### Step 2: Map User Journey Patterns\r\n\r\nEach cluster should support natural user exploration paths:\r\n\r\n**Journey Patterns:**\r\n- **Problem → Information → Solution → Product**\r\n - \"what causes plantar fasciitis\" → \"best treatments for plantar fasciitis\" → \"foot massagers for plantar fasciitis\"\r\n \r\n- **General → Specific → Variant**\r\n - \"foot massagers\" → \"shiatsu foot massagers\" → \"heated shiatsu foot massagers\"\r\n \r\n- **Question → Explanation → Options → Decision**\r\n - \"do vitamin c serums work\" → \"how vitamin c brightens skin\" → \"best vitamin c serums\" → \"vitamin c vs retinol\"\r\n \r\n- **Feature Discovery → Feature Comparison → Feature + Use-Case**\r\n - \"heated massagers\" → \"heated vs unheated massagers\" → \"heated massagers for arthritis\"\r\n\r\n**Cluster Test:** Can a user naturally move from any keyword in the cluster to any other keyword in a logical research/buying journey?\r\n\r\n---\r\n\r\n### Step 3: Identify Cluster Anchors (Hub Potential)\r\n\r\nEach cluster needs a clear **root keyword** that can serve as the hub page:\r\n\r\n**Hub Characteristics:**\r\n- Broad enough to encompass all cluster keywords\r\n- Specific enough to be commercially or informationally valuable\r\n- Natural landing point for user journey\r\n- Can support 3-10+ supporting content pieces\r\n\r\n**Examples:**\r\n- ✅ \"foot massagers for plantar fasciitis\" (hub)\r\n - Supports: safety concerns, specific features, comparisons, use-cases\r\n- ✅ \"vitamin c serums for brightening\" (hub)\r\n - Supports: vs alternatives, for skin types, application guides, safety\r\n- ❌ \"massagers\" (too broad, no natural ecosystem)\r\n- ❌ \"renpho foot massager cord length\" (too narrow, can't support ecosystem)\r\n\r\n---\r\n\r\n### Step 4: Extract Attribute Dimensions\r\n\r\nFor each cluster, identify **taxonomy-worthy dimensions** that could become:\r\n- Product filters\r\n- Content tags\r\n- URL parameters\r\n- Faceted navigation\r\n\r\n**Extraction Method:**\r\nLook for recurring **modifiers** across cluster keywords:\r\n- Material: cotton, linen, silk, organic\r\n- Feature: heated, waterproof, portable, wireless\r\n- Size: king, queen, twin, compact\r\n- Type: shiatsu, percussion, vibration, EMS\r\n- Audience: men, women, seniors, athletes\r\n- Context: travel, home, office, car\r\n\r\nThese dimensions should appear in the cluster's description as **natural grouping signals**.\r\n\r\n---\r\n\r\n## CLUSTERING RULES\r\n\r\n### Formation Rules\r\n\r\n1. **Semantic Coherence**\r\n - Keywords must share meaningful semantic relationships\r\n - Shared words alone don't make a cluster\r\n - \"back massager\" + \"back support pillow\" = different clusters (different product ecosystems)\r\n\r\n2. **Dimensional Intersection**\r\n - Minimum 2 shared dimensions required\r\n - More intersections = stronger cluster\r\n - Keywords with 3+ shared dimensions are core cluster members\r\n\r\n3. **User Journey Viability**\r\n - Cluster keywords should form natural navigation paths\r\n - Hub → supporting blogs → variants should flow logically\r\n - Test: Would a user exploring this topic naturally encounter all these keywords?\r\n\r\n4. **Ecosystem Completeness**\r\n - Each cluster should be self-contained\r\n - Should support 1 hub page + 3-10 supporting articles\r\n - Must have enough depth for authority building\r\n\r\n5. **Exclusion Over Inclusion**\r\n - Better to leave keywords unclustered than force weak groupings\r\n - Outliers should be excluded from output\r\n - Only cluster keywords with strong semantic bonds\r\n\r\n### Size & Quality Rules\r\n\r\n- **Minimum cluster size:** 3 keywords (otherwise it's not an ecosystem)\r\n- **Maximum cluster size:** 15 keywords (beyond this, consider splitting)\r\n- **Optimal cluster size:** 5-10 keywords (hub + supporting + variants)\r\n- **No keyword duplication:** Each keyword appears in exactly one cluster\r\n- **Quality over quantity:** 5 strong clusters > 15 weak clusters\r\n\r\n---\r\n\r\n## OUTPUT STRUCTURE json object\r\n{\r\n \"clusters\": [\r\n {\r\n \"name\": \"[Natural, SEO-relevant cluster name representing the root topic]\",\r\n \"description\": \"[2-3 sentences explaining: (1) what semantic dimensions bind these keywords, (2) what user journey or problem space this cluster addresses]\",\r\n \"keywords\": [\"keyword 1\", \"keyword 2\", \"keyword 3\", \"...\"]\r\n }\r\n ]\r\n}\r\n\r\n\r\n### Naming Guidelines\r\n\r\n**Good Cluster Names:**\r\n- \"Foot Massagers for Plantar Fasciitis Treatment\"\r\n- \"Organic Cotton Bedding for Summer\"\r\n- \"Vitamin C Serums for Skin Brightening\"\r\n- \"Waterproof Car Trunk Organizers\"\r\n\r\n**Poor Cluster Names:**\r\n- \"Massagers\" (too broad)\r\n- \"Products\" (meaningless)\r\n- \"Heated\" (just a feature, not a topic)\r\n- \"Queries about safety\" (meta, not topical)\r\n\r\n### Description Guidelines\r\n\r\n**Good Description Format:**\r\n\"This cluster covers [TOPIC] focused on [PROBLEM/USE-CASE] for [AUDIENCE]. Keywords share dimensions of [DIMENSION 1] and [DIMENSION 2], forming a natural ecosystem for users researching [USER JOURNEY].\"\r\n\r\n**Example:**\r\n\"This cluster covers foot massage devices specifically for plantar fasciitis relief. Keywords share dimensions of product type (foot massager), health condition (plantar fasciitis), and therapeutic features (shiatsu, heated, EMS), forming a natural ecosystem for users researching pain relief solutions and comparing treatment options.\"\r\n\r\n---\r\n\r\n## VALIDATION CHECKLIST\r\n\r\nBefore finalizing clusters, verify:\r\n\r\n✓ **Hub Potential:** Each cluster has 1 clear anchor keyword for hub page\r\n✓ **Dimensional Overlap:** Keywords share 2+ semantic dimensions\r\n✓ **User Journey:** Natural navigation paths exist within cluster\r\n✓ **Attribute Dimensions:** Recurring modifiers can become filters/taxonomies\r\n✓ **Ecosystem Completeness:** Supports 1 hub + 3-10 supporting articles\r\n✓ **Semantic Coherence:** Keywords genuinely belong together, not just word overlap\r\n✓ **No Duplication:** Each keyword appears once\r\n✓ **No Weak Clusters:** Only include strong, viable ecosystems\r\n\r\n---\r\n\r\n## ANTI-PATTERNS TO AVOID\r\n\r\n❌ **Single-word grouping:** \"All keywords with 'heated' go together\"\r\n❌ **Forced categorization:** \"Must fit everything into clusters\"\r\n❌ **Shallow connections:** Keywords share one word but no semantic relationship\r\n❌ **Traditional SEO intent labels:** Don't use \"informational\" or \"commercial\" as clustering logic\r\n❌ **Assumed site structure:** Don't cluster based on existing categories\r\n❌ **Word-matching only:** \"massage\" keywords together regardless of context\r\n\r\n✅ **Multi-dimensional analysis:** Find deep semantic intersections\r\n✅ **User journey modeling:** Natural exploration and research paths\r\n✅ **Ecosystem thinking:** Self-contained topical authority units\r\n✅ **Attribute extraction:** Recurring dimensions that create taxonomies\r\n✅ **Quality filtering:** Only strong, viable clusters in output\r\n\r\n---\r\n\r\n## EXAMPLES\r\n\r\n### Example 1: Strong Cluster\r\n\r\n{\r\n \"name\": \"Heated Shiatsu Back Massagers for Pain Relief\",\r\n \"description\": \"This cluster covers back massage devices combining heated therapy with shiatsu technique for pain management. Keywords intersect on product type (back massager), features (heated, shiatsu), and problem-solving (pain relief, muscle tension), supporting a complete user journey from problem awareness to product comparison.\",\r\n \"keywords\": [\r\n \"heated back massagers\",\r\n \"shiatsu back massager with heat\",\r\n \"best heated massagers for back pain\",\r\n \"do heated massagers help muscle pain\",\r\n \"heated vs unheated back massagers\",\r\n \"shiatsu massage for lower back pain\"\r\n ]\r\n}\r\n\r\n\r\n### Example 2: Multi-Dimensional Cluster\r\n\r\n{\r\n \"name\": \"Organic Cotton Bed Sheets for Hot Sleepers\",\r\n \"description\": \"This cluster addresses cooling bedding solutions using organic materials. Keywords intersect on material (organic cotton), product type (bed sheets), use-case (hot weather/hot sleepers), and benefit (breathability, cooling), forming an ecosystem for users researching temperature-regulating sleep solutions.\",\r\n \"keywords\": [\r\n \"organic cotton sheets for summer\",\r\n \"best cooling cotton bed sheets\",\r\n \"breathable organic cotton bedding\",\r\n \"cotton vs linen sheets for hot sleepers\",\r\n \"organic cotton king size sheets\",\r\n \"are cotton sheets good for hot weather\"\r\n ]\r\n}\r\n\r\n\r\n### Example 3: What NOT to Cluster\r\n\r\n❌ BAD CLUSTER:\r\n{\r\n \"name\": \"Massager Products\",\r\n \"keywords\": [\r\n \"foot massagers\",\r\n \"back massagers\", \r\n \"neck massagers\",\r\n \"massage oils\",\r\n \"massage chairs\"\r\n ]\r\n}\r\n\r\n**Why it's bad:** Keywords share only the word \"massage\" but represent completely different product ecosystems with different user journeys, problems, and attributes. These should be separate clusters.",
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"is_customized": false,
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"is_active": true,
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"updated_at": "2025-12-20T20:09:13.413Z",
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"created_at": "2025-12-20T20:04:43.984Z"
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}
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}
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]
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