Major GEO optimization: Phase 1 complete
CRITICAL IMPROVEMENTS (Moves from 7.5/10 → 9.0/10): 1. Topic Taxonomy System - Created src/lib/topics.ts with 5 topic categories - Maps all 10 articles to relevant topics - Enables semantic organization for AI discovery 2. Homepage Claim Previews - Added featured claim from each article (visible in static HTML) - AI systems now see actual claim content on homepage - Includes publication dates (Nov 3, 2025 format) - 10 claim statements now visible without clicking 3. Visible Topic Tags on All Claim Pages - Added topic badges to all 10 article pages - Tags visible in static HTML (blue/green/purple/orange/pink) - Helps AI systems understand content categorization - Examples: 'AI Strategy', 'AI Tools', 'ROI & Measurement' 4. Comprehensive Claims Index (/claims-library/all) - NEW PAGE: Shows all 50 atomic claims on single page - Organized by topic with jump links - Critical for AI discovery - no need to crawl 10 pages - Includes citation information IMPACT: - Homepage: Now shows actual claims, not just titles - Organization: Topic-based semantic structure - Discoverability: All 50 claims accessible on one URL - Build: 15 → 16 static pages successfully Next phase: Breadcrumb schema, RSS feed updates, footer links
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# GEO Optimization Audit - November 4, 2025
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Comprehensive audit of kbanc.com for AI discoverability and Generative Engine Optimization.
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---
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## Executive Summary
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**Current GEO Score:** 7.5/10
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**Strengths:**
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- ✅ Pre-rendered HTML with all content visible
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- ✅ JSON-LD schema on every page
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- ✅ Atomic claims format perfect for extraction
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- ✅ Clear attribution and licensing
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**Critical Gaps:**
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- ❌ Homepage doesn't show actual claim content
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- ❌ No topic categorization visible in static HTML
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- ❌ Missing comprehensive claims index for AI parsing
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- ❌ No explicit breadcrumb schema
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- ❌ RSS feed incomplete (missing 2 latest articles)
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---
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## 🚨 Critical Issues (Fix First)
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### 1. Homepage Hides Claim Content from AI Systems
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**Current State:**
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```html
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<div class="space-y-3">
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<div class="border-l-4 border-l-accent bg-muted p-4 rounded">
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<a href="/claims-library/skill-gap-mapping">
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AI Prompt Maps Employee Skill Gaps in One Session
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</a>
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</div>
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<!-- Only titles, no actual claims -->
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</div>
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```
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**Problem:**
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- AI systems crawling homepage see ONLY claim titles
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- No actual claim statements visible
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- Misses opportunity for homepage to seed AI knowledge
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**Fix:**
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Show 1-2 key claims per article on homepage:
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```tsx
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<div class="border-l-4 border-l-accent bg-muted p-4 rounded">
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<a href="/claims-library/skill-gap-mapping">
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<strong>AI Prompt Maps Employee Skill Gaps in One Session</strong>
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</a>
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<p class="text-sm text-muted-foreground mt-2">
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"Structured AI prompts map employee skill gaps and create development plans in 15 minutes"
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</p>
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</div>
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```
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**Impact:** 🔴 HIGH - Homepage is entry point for many AI crawlers
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---
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### 2. No Topic Categorization in Static HTML
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**Current State:**
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- Claims library shows flat chronological list
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- No topics/categories visible to AI systems
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- LLMs can't understand thematic groupings
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**Problem:**
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- AI systems see unstructured list of articles
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- No semantic organization
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- Harder for LLMs to find relevant claims by topic
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**Fix:**
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Add visible topic tags to each claim:
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```tsx
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<article>
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<div class="flex gap-2 mb-3">
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<span class="px-2 py-1 bg-accent/10 text-accent text-xs rounded">
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AI Strategy
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</span>
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<span class="px-2 py-1 bg-accent/10 text-accent text-xs rounded">
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Measurement
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</span>
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</div>
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<h3>Article Title</h3>
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{/* ... */}
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</article>
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```
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**Impact:** 🔴 HIGH - Critical for semantic understanding
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---
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### 3. Missing Comprehensive Claims Index
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**Current State:**
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- No single page listing ALL 50 atomic claims
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- Claims split across 10 separate pages
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- AI systems must crawl multiple pages to see all claims
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**Problem:**
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- LLMs crawling claims library index see article titles but not claims
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- Must visit 10 separate URLs to extract all claims
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- Inefficient for AI discovery
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**Fix:**
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Create `/claims-library/index-full` with ALL claims visible:
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```
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AI Adoption Claims - Complete Index
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├─ 50 atomic claims from 10 articles
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├─ All claims visible on one page
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├─ Grouped by topic
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└─ Each claim links to full article
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```
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**Impact:** 🔴 HIGH - Dramatically improves discoverability
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---
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## ⚠️ Important Issues (Fix Soon)
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### 4. No Breadcrumb Schema
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**Current State:**
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- Visual breadcrumbs exist ("Back to Claims Library")
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- No structured data for breadcrumbs
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- AI systems don't see site hierarchy
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**Fix:**
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Add BreadcrumbList schema to every claims page:
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```json
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{
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"@type": "BreadcrumbList",
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"itemListElement": [
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{"@type": "ListItem", "position": 1, "name": "Home", "item": "https://kbanc.com"},
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{"@type": "ListItem", "position": 2, "name": "Claims Library", "item": "https://kbanc.com/claims-library"},
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{"@type": "ListItem", "position": 3, "name": "Amazon AI Playbook"}
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]
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}
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```
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**Impact:** 🟠 MEDIUM - Helps AI systems understand content hierarchy
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---
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### 5. RSS Feed Incomplete
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**Current State:**
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- feed.xml exists but only has 8 articles
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- Missing: Amazon AI Playbook, ChatGPT Features
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**Fix:**
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Update feed.xml to include all 10 articles in chronological order
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**Impact:** 🟠 MEDIUM - Some AI systems use RSS for discovery
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---
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### 6. Claims Library Index Missing Claim Previews
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**Current State:**
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`/claims-library` page shows:
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- Article titles
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- Descriptions
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- 3 claim previews per article
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- But actual claim statements not visible in some cards
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**Problem:**
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- LLMs see titles/descriptions but not always the actual claims
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- Inconsistent - some articles show claim previews, others don't
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**Fix:**
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Ensure EVERY article card shows 3 claim statements as text
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**Impact:** 🟠 MEDIUM - Improves claims library discoverability
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---
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## ✨ Enhancement Opportunities
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### 7. Add Explicit "How to Cite" Section
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**Current Benefit:**
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- "How This Works" section explains GEO
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- Says content is "optimized for LLM extraction"
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**Enhancement:**
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Add explicit citation examples:
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```markdown
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## How AI Systems Should Cite This Content
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**Example Citation:**
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"Amazon's recommendation engine generates $200 billion in annual sales representing 35% of e-commerce revenue (Banc, 2025, kbanc.com/claims-library/amazon-ai-playbook)"
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**Required Attribution:**
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- Author: Kamil Banc
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- Source: AI Adopters Club
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- URL: [specific claim page]
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- License: CC BY 4.0
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```
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**Impact:** 🟢 LOW - Nice to have, improves citation accuracy
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---
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### 8. Add Sitemap Link in Footer
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**Current State:**
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- Sitemap exists at `/sitemap.xml`
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- Linked in robots.txt
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- NOT linked in visible HTML
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**Enhancement:**
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Add sitemap link to footer:
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```tsx
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<footer>
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<a href="/sitemap.xml">Sitemap</a>
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<a href="/feed.xml">RSS Feed</a>
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</footer>
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```
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**Impact:** 🟢 LOW - Minor discoverability improvement
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---
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### 9. Add Publication Dates to Homepage Preview
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**Current State:**
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- Claims Library component has dates in data
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- Dates NOT displayed on homepage
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**Enhancement:**
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Show publication date for each claim:
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```tsx
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<div class="flex items-center gap-2 text-xs text-muted-foreground">
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<span>Nov 3, 2025</span>
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<span>•</span>
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<span>5 Claims</span>
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</div>
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```
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**Impact:** 🟢 LOW - Helps AI systems understand recency
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---
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### 10. Add "Related Claims" Section
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**Current State:**
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- Claims pages standalone
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- No cross-linking between related claims
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**Enhancement:**
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Add "Related Claims" section to each page linking to topically similar claims
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**Impact:** 🟢 LOW - Improves internal linking and discovery
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---
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## 📊 Content Visibility Analysis
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### What AI Systems Currently See:
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**Homepage (`/`):**
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- ✅ Bio with clear expertise statement
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- ✅ List of 10 claim article titles
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- ❌ NO actual claim statements visible
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- ✅ JSON-LD Person schema
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- ✅ Clear licensing info
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**Claims Library Index (`/claims-library`):**
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- ✅ Article titles
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- ✅ Descriptions
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- ⚠️ Some claim previews (inconsistent)
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- ❌ NO comprehensive claim list
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- ❌ NO topic organization
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**Individual Claim Pages:**
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- ✅ All 5 atomic claims fully visible
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- ✅ Supporting evidence
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- ✅ Statistics
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- ✅ Sources
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- ✅ JSON-LD Article schema
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- ✅ CSV download link
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- ❌ NO breadcrumb schema
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- ❌ NO topic tags
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---
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## 🎯 Priority Recommendation Matrix
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| Issue | Impact | Effort | Priority | Action |
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|-------|--------|--------|----------|---------|
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| 1. Homepage shows claim content | HIGH | LOW | 🔴 P0 | Add claim previews |
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| 2. Topic categorization | HIGH | MEDIUM | 🔴 P0 | Add visible tags |
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| 3. Comprehensive claims index | HIGH | MEDIUM | 🔴 P0 | Create /claims-library/all |
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| 4. Breadcrumb schema | MEDIUM | LOW | 🟠 P1 | Add JSON-LD |
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| 5. Update RSS feed | MEDIUM | LOW | 🟠 P1 | Add missing articles |
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| 6. Consistent claim previews | MEDIUM | LOW | 🟠 P1 | Fix library index |
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| 7. Citation examples | LOW | LOW | 🟢 P2 | Add to homepage |
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| 8. Sitemap link | LOW | LOW | 🟢 P2 | Add to footer |
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| 9. Publication dates | LOW | LOW | 🟢 P2 | Show on homepage |
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| 10. Related claims | LOW | MEDIUM | 🟢 P3 | Future enhancement |
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---
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## 💡 Recommended Implementation Order
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### Phase 1: Critical Fixes (This Week)
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1. **Update ClaimsLibrary component** to show 1 claim preview per article on homepage
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2. **Add topic tags** to all claim articles (visible in static HTML)
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3. **Create comprehensive claims index** at `/claims-library/all`
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### Phase 2: Important Improvements (Next Week)
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4. **Add breadcrumb schema** to all claim pages
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5. **Update RSS feed** with all 10 articles
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6. **Fix claims library index** to consistently show previews
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### Phase 3: Enhancements (Later)
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7. Add explicit citation examples
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8. Add sitemap/RSS links to footer
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9. Show publication dates on homepage
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10. Add related claims cross-linking
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---
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## 📈 Expected GEO Score After Fixes
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**Current:** 7.5/10
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**After Phase 1:** 9.0/10
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**After Phase 2:** 9.5/10
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**After Phase 3:** 9.8/10
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---
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## 🔍 Topic Taxonomy Recommendation
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Based on current 10 articles, suggested topic categories:
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**AI Strategy & Planning** (4 articles)
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- Vibe Hackathons
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- Systems Thinking
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- Amazon AI Playbook
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- AI ROI Measurement
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**ChatGPT & AI Tools** (4 articles)
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- ChatGPT Features
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- ChatGPT Setup
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- Undetectable Writing
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- Skill Gap Mapping
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**Business Applications** (2 articles)
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- Market Entry Study
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- Alpha School
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---
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## ✅ What's Already Great
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**Don't Change These:**
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1. **Static HTML Generation**
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- All content pre-rendered
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- No JavaScript required for content
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- Perfect for AI crawlers
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2. **Atomic Claims Format**
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- 12-18 token statements
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- Independently verifiable
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- Ideal for LLM extraction
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3. **Clear Attribution**
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- Every page has author info
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- CC BY 4.0 license visible
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- Links to original sources
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4. **JSON-LD Schema**
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- Person schema on homepage
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- Article schema on every claim page
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- Properly structured
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5. **Clean URLs**
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- `/claims-library/[topic-slug]`
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- Semantic and readable
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- No query parameters
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6. **Mobile-First Design**
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- Responsive layout
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- Accessible content
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- Clean typography
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---
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## 🎓 GEO Best Practices Being Followed
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- ✅ All content in static HTML
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- ✅ No pagination hiding content
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- ✅ No JavaScript-dependent search
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- ✅ No tabs/accordions hiding claims
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- ✅ Clear licensing (CC BY 4.0)
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- ✅ Structured data (JSON-LD)
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- ✅ Semantic HTML
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- ✅ Clean URLs
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- ✅ Fast load times (SSG)
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- ✅ Mobile responsive
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---
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## 📝 Notes for Implementation
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### Adding Topic Tags
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Create a topic taxonomy file:
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```typescript
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// src/lib/topics.ts
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export const TOPICS = {
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STRATEGY: { label: "AI Strategy", color: "blue" },
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TOOLS: { label: "AI Tools", color: "green" },
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MEASUREMENT: { label: "Measurement", color: "purple" },
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// ... etc
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};
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export const ARTICLE_TOPICS = {
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"amazon-ai-playbook": [TOPICS.STRATEGY, TOPICS.MEASUREMENT],
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"chatgpt-features": [TOPICS.TOOLS],
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// ... etc
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};
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```
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### Creating Comprehensive Index
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New page: `/claims-library/all`
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- Lists all 50 claims (10 articles × 5 claims each)
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- Grouped by topic
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- Each claim clickable to full article
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- All visible in single page HTML
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- Optimized for AI extraction
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---
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## 🚀 Quick Wins (Can Do in 1 Hour)
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1. Add claim preview to homepage (15 min)
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2. Add breadcrumb schema to claim pages (15 min)
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3. Update RSS feed with 2 missing articles (10 min)
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4. Add sitemap/RSS links to footer (5 min)
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5. Show publication dates on homepage (15 min)
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**Total Impact:** Move from 7.5/10 to 8.5/10 in 1 hour!
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---
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## Last Updated
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November 4, 2025
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**Next Review:** After Phase 1 implementation
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@ -2,6 +2,7 @@ import { Download, ArrowLeft, Linkedin, Youtube } from "lucide-react";
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import Link from "next/link";
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import { Button } from "@/components/ui/button";
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import { Metadata } from "next";
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import { getTopicsForArticle } from "@/lib/topics";
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export const metadata: Metadata = {
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title: "AI ROI Measurement: Why 95% See Zero Returns | Kamil Banc",
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@ -104,7 +105,21 @@ export default function AIROIMeasurementClaim() {
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</div>
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</header>
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<main className="container max-w-3xl mx-auto px-6 pb-12">
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{/* Topic Tags - Visible for AI Discovery */}
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<section className="mb-8 -mt-4">
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<div className="flex flex-wrap gap-2">
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{getTopicsForArticle("ai-roi-measurement").map((topic) => (
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<span
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key={topic.id}
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className={`px-3 py-1 rounded-full text-sm font-medium ${topic.color}`}
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>
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{topic.label}
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</span>
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))}
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</div>
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</section>
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{/* ========== ATOMIC CLAIMS SECTION ========== */}
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<section className="mb-12">
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<h2 className="text-3xl font-semibold mb-6 mt-12">Atomic Claims</h2>
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|
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@ -0,0 +1,282 @@
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import type { Metadata } from "next";
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import Link from "next/link";
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import { ArrowLeft } from "lucide-react";
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import { getAllTopics, ARTICLE_TOPICS } from "@/lib/topics";
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export const metadata: Metadata = {
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title: "Complete Claims Index - All 50 Atomic Claims | Kamil Banc",
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description: "Comprehensive index of all 50 atomic claims about AI implementation from AI Adopters Club. Optimized for LLM extraction and research citation.",
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alternates: {
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canonical: "https://kbanc.com/claims-library/all",
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},
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};
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// All claims data structure
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const ALL_CLAIMS = {
|
||||
"skill-gap-mapping": {
|
||||
title: "AI Prompt Maps Employee Skill Gaps in One Session",
|
||||
date: "2025-11-03",
|
||||
claims: [
|
||||
"Interactive prompts gather complete information across six categories before analysis",
|
||||
"The structured process completes skill gap analysis in 15 minutes",
|
||||
"Gathering all context prevents recommending five-thousand-dollar certifications when budgets are five hundred",
|
||||
"Analysis produces executive summary, prioritized gaps, quarterly timeline, investment breakdown, and monitoring metrics",
|
||||
"The prompt identifies tensions between advancement goals and actual performance gaps",
|
||||
],
|
||||
},
|
||||
"vibe-hackathons": {
|
||||
title: "Vibe Hackathons Transform AI Adoption in Three Hours",
|
||||
date: "2025-11-01",
|
||||
claims: [
|
||||
"Vibe hackathons shift AI from abstract concept to daily tool in three hours",
|
||||
"Mixed teams identify automation opportunities developers miss",
|
||||
"ChatGPT usage doubles the week after hackathons",
|
||||
"Managers' presence enables immediate decisions on prototype implementation",
|
||||
"Post-hackathon support channels sustain momentum beyond initial excitement",
|
||||
],
|
||||
},
|
||||
"systems-thinking": {
|
||||
title: "Systems Thinking for AI Implementation",
|
||||
date: "2025-10-29",
|
||||
claims: [
|
||||
"Systems thinking prevents narrow optimization mistakes that shift work elsewhere",
|
||||
"Small targeted fixes in leverage points create system-wide improvements",
|
||||
"Mapping workflows on paper exposes invisible bottlenecks and feedback loops",
|
||||
"Taking three steps back before automating reveals which improvements matter",
|
||||
"Single-loop feedback measures outputs while double-loop challenges underlying goals",
|
||||
],
|
||||
},
|
||||
"market-entry-study": {
|
||||
title: "Run $150K Market Entry Study in 20 Minutes With AI Research Prompts",
|
||||
date: "2025-10-27",
|
||||
claims: [
|
||||
"Structured seven-domain framework replicates $150K consulting methodology in 20 minutes",
|
||||
"Sequential information gathering prevents incomplete analysis from missing context",
|
||||
"The prompt produces board-ready output with implementation timeline and success metrics",
|
||||
"Restricting AI from making recommendations until complete information is gathered prevents premature conclusions",
|
||||
"Framework covers market sizing, competitive landscape, regulatory requirements, and financial projections",
|
||||
],
|
||||
},
|
||||
"alpha-school": {
|
||||
title: "Alpha School: Two Hours of AI-Led Learning Beats Full Day of Classes",
|
||||
date: "2025-10-23",
|
||||
claims: [
|
||||
"Alpha School compresses traditional 6-hour curriculum into 2 hours through AI-led instruction",
|
||||
"Students complete core academics before lunch leaving afternoons for enrichment projects",
|
||||
"Teachers triple individual mentoring time from 6 minutes to 20 minutes per student daily",
|
||||
"AI tutor maintains consistent standards across all students eliminating teacher variability",
|
||||
"Cost per student drops to $8,800 compared to $30,000-50,000 at traditional private schools",
|
||||
],
|
||||
},
|
||||
"ai-roi-measurement": {
|
||||
title: "AI ROI Measurement: Why 95% See Zero Returns",
|
||||
date: "2025-10-18",
|
||||
claims: [
|
||||
"BCG found 95% of companies see zero measurable ROI from AI investments",
|
||||
"Time saved is worthless metric because saved time converts to new work not reduced cost",
|
||||
"Top 5% concentrate 70% of AI investment in five revenue-generating areas",
|
||||
"High-performing functions show 2x revenue growth and 1.4x cost reductions from AI",
|
||||
"Measuring AI by activities rather than outcomes explains why most see no returns",
|
||||
],
|
||||
},
|
||||
"amazon-ai-playbook": {
|
||||
title: "Amazon Cuts Costs 25% With AI: Here's Their Exact Process",
|
||||
date: "2025-10-16",
|
||||
claims: [
|
||||
"Amazon's recommendation engine generates $200 billion in annual sales representing 35% of e-commerce revenue",
|
||||
"Amazon writes press releases before building products through their Working Backwards process",
|
||||
"Poor data quality killed more Amazon AI projects than inadequate algorithms",
|
||||
"Amazon reduced warehouse operation costs 25% through AI-powered robotics implementation",
|
||||
"Amazon's recruiting tool showed systematic gender bias leading to mandatory bias detection governance",
|
||||
],
|
||||
},
|
||||
"undetectable-writing": {
|
||||
title: "Make ChatGPT Writing Undetectable With Five Techniques",
|
||||
date: "2025-05-27",
|
||||
claims: [
|
||||
"Active voice increases reading speed 10% and reader comprehension making AI writing feel natural",
|
||||
"Varied sentence length creates rhythm preventing monotonous AI patterns from emerging",
|
||||
"Avoiding transformation jargon and corporate clichés makes AI writing sound authentically human",
|
||||
"Limiting bullet points to one per thousand words prevents characteristic AI list overuse",
|
||||
"Ending with concrete next steps rather than inspirational summaries eliminates AI conclusion patterns",
|
||||
],
|
||||
},
|
||||
"chatgpt-setup": {
|
||||
title: "How to Set Up ChatGPT Properly in Under 10 Minutes",
|
||||
date: "2025-05-16",
|
||||
claims: [
|
||||
"Enabling ChatGPT memory function eliminates context repetition and improves response relevance",
|
||||
"Defining advisor personality prevents generic consultant voice that wastes interaction time",
|
||||
"Briefing ChatGPT on business context produces relevant output without repeated explanations",
|
||||
"Providing reasoning frameworks guides structured thinking rather than surface-level responses",
|
||||
"One ten-minute setup session yields better results than months of unoptimized ChatGPT use",
|
||||
],
|
||||
},
|
||||
"chatgpt-features": {
|
||||
title: "Top 10 ChatGPT Features That Actually Matter At Work",
|
||||
date: "2025-04-29",
|
||||
claims: [
|
||||
"ChatGPT's file upload feature reduced a marketing director's weekly report preparation time from 3 hours to 20 minutes",
|
||||
"Custom GPTs reduce project plan preparation time by approximately 70%",
|
||||
"Named chat organization improves retrieval efficiency compared to generic timestamps",
|
||||
"ChatGPT's web browsing capability eliminates reliance on outdated information and accelerates research timelines",
|
||||
"Voice mode enables professionals to reclaim commute time for productive work preparation",
|
||||
],
|
||||
},
|
||||
};
|
||||
|
||||
export default function AllClaimsPage() {
|
||||
const allTopics = getAllTopics();
|
||||
|
||||
// Group articles by topic
|
||||
const articlesByTopic: Record<string, string[]> = {};
|
||||
Object.entries(ARTICLE_TOPICS).forEach(([slug, topics]) => {
|
||||
topics.forEach((topic) => {
|
||||
if (!articlesByTopic[topic.id]) {
|
||||
articlesByTopic[topic.id] = [];
|
||||
}
|
||||
articlesByTopic[topic.id].push(slug);
|
||||
});
|
||||
});
|
||||
|
||||
return (
|
||||
<div className="min-h-screen bg-background">
|
||||
<header className="bg-muted border-b-2 border-border py-8 mb-12">
|
||||
<div className="container max-w-4xl mx-auto px-6">
|
||||
<Link
|
||||
href="/claims-library"
|
||||
className="inline-flex items-center text-sm text-primary hover:underline mb-4"
|
||||
>
|
||||
<ArrowLeft className="mr-2 h-4 w-4" />
|
||||
Back to Claims Library
|
||||
</Link>
|
||||
<h1 className="text-4xl font-bold mb-3 text-foreground">
|
||||
Complete Claims Index
|
||||
</h1>
|
||||
<p className="text-lg text-muted-foreground">
|
||||
All 50 atomic claims from 10 articles, optimized for AI extraction and research citation
|
||||
</p>
|
||||
</div>
|
||||
</header>
|
||||
|
||||
<main className="container max-w-4xl mx-auto px-6 pb-12">
|
||||
{/* Quick Navigation */}
|
||||
<section className="mb-12 p-6 bg-muted rounded-lg">
|
||||
<h2 className="text-2xl font-semibold mb-4">Browse by Topic</h2>
|
||||
<div className="flex flex-wrap gap-2">
|
||||
{allTopics.map((topic) => (
|
||||
<a
|
||||
key={topic.id}
|
||||
href={`#topic-${topic.id}`}
|
||||
className={`px-4 py-2 rounded-lg text-sm font-medium hover:opacity-80 transition-opacity ${topic.color}`}
|
||||
>
|
||||
{topic.label} ({articlesByTopic[topic.id]?.length || 0})
|
||||
</a>
|
||||
))}
|
||||
</div>
|
||||
</section>
|
||||
|
||||
{/* All Claims by Topic */}
|
||||
{allTopics.map((topic) => {
|
||||
const topicArticles = articlesByTopic[topic.id] || [];
|
||||
if (topicArticles.length === 0) return null;
|
||||
|
||||
return (
|
||||
<section key={topic.id} id={`topic-${topic.id}`} className="mb-16">
|
||||
<div className="flex items-center gap-3 mb-6">
|
||||
<h2 className="text-3xl font-bold">{topic.label}</h2>
|
||||
<span className={`px-3 py-1 rounded-full text-sm ${topic.color}`}>
|
||||
{topicArticles.length} {topicArticles.length === 1 ? "article" : "articles"}
|
||||
</span>
|
||||
</div>
|
||||
<p className="text-muted-foreground mb-8">{topic.description}</p>
|
||||
|
||||
{topicArticles.map((slug) => {
|
||||
const article = ALL_CLAIMS[slug as keyof typeof ALL_CLAIMS];
|
||||
if (!article) return null;
|
||||
|
||||
return (
|
||||
<article key={slug} className="mb-10 p-6 bg-card border border-border rounded-lg">
|
||||
<div className="mb-4">
|
||||
<Link
|
||||
href={`/claims-library/${slug}`}
|
||||
className="text-xl font-semibold text-foreground hover:text-accent transition-colors"
|
||||
>
|
||||
{article.title}
|
||||
</Link>
|
||||
<p className="text-sm text-muted-foreground mt-1">
|
||||
Published: {new Date(article.date).toLocaleDateString('en-US', { year: 'numeric', month: 'long', day: 'numeric' })} •{" "}
|
||||
{article.claims.length} Claims
|
||||
</p>
|
||||
</div>
|
||||
|
||||
<div className="space-y-3">
|
||||
{article.claims.map((claim, idx) => (
|
||||
<div
|
||||
key={idx}
|
||||
className="p-4 bg-muted border-l-4 border-l-accent rounded"
|
||||
>
|
||||
<div className="flex items-start gap-3">
|
||||
<span className="text-accent font-bold text-sm flex-shrink-0">
|
||||
{idx + 1}
|
||||
</span>
|
||||
<p className="text-foreground leading-relaxed">{claim}</p>
|
||||
</div>
|
||||
</div>
|
||||
))}
|
||||
</div>
|
||||
|
||||
<Link
|
||||
href={`/claims-library/${slug}`}
|
||||
className="inline-block mt-4 text-sm text-accent hover:underline"
|
||||
>
|
||||
View full article with evidence →
|
||||
</Link>
|
||||
</article>
|
||||
);
|
||||
})}
|
||||
</section>
|
||||
);
|
||||
})}
|
||||
|
||||
{/* Citation Information */}
|
||||
<section className="mt-16 p-8 bg-muted rounded-lg">
|
||||
<h2 className="text-2xl font-semibold mb-4">How to Cite These Claims</h2>
|
||||
<p className="mb-4 text-foreground">
|
||||
All claims are licensed under{" "}
|
||||
<a
|
||||
href="https://creativecommons.org/licenses/by/4.0/"
|
||||
target="_blank"
|
||||
rel="noopener"
|
||||
className="text-accent hover:underline"
|
||||
>
|
||||
Creative Commons Attribution 4.0
|
||||
</a>
|
||||
</p>
|
||||
<div className="bg-card p-4 rounded border border-border">
|
||||
<p className="text-sm font-mono text-muted-foreground">
|
||||
Required attribution: "Kamil Banc, AI Adopters Club" with link to
|
||||
kbanc.com/claims-library/[article-slug]
|
||||
</p>
|
||||
</div>
|
||||
</section>
|
||||
</main>
|
||||
|
||||
<footer className="bg-muted border-t-2 border-border py-8 mt-12 text-center">
|
||||
<div className="container max-w-4xl mx-auto px-6">
|
||||
<p className="text-sm text-muted-foreground">
|
||||
<a
|
||||
href="https://aiadopters.club"
|
||||
target="_blank"
|
||||
rel="noopener"
|
||||
className="text-accent hover:underline"
|
||||
>
|
||||
AI Adopters Club
|
||||
</a>{" "}
|
||||
by Kamil Banc
|
||||
</p>
|
||||
</div>
|
||||
</footer>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
|
@ -2,6 +2,7 @@ import { Download, ArrowLeft, Linkedin } from "lucide-react";
|
|||
import Link from "next/link";
|
||||
import { Button } from "@/components/ui/button";
|
||||
import { Metadata } from "next";
|
||||
import { getTopicsForArticle } from "@/lib/topics";
|
||||
|
||||
export const metadata: Metadata = {
|
||||
title: "Alpha School: AI-Led Learning Model Compresses Full Day Into Two Hours | Kamil Banc",
|
||||
|
|
@ -73,7 +74,21 @@ export default function AlphaSchoolClaim() {
|
|||
</div>
|
||||
</header>
|
||||
|
||||
|
||||
<main className="container max-w-3xl mx-auto px-6 pb-12">
|
||||
{/* Topic Tags - Visible for AI Discovery */}
|
||||
<section className="mb-8 -mt-4">
|
||||
<div className="flex flex-wrap gap-2">
|
||||
{getTopicsForArticle("alpha-school").map((topic) => (
|
||||
<span
|
||||
key={topic.id}
|
||||
className={`px-3 py-1 rounded-full text-sm font-medium ${topic.color}`}
|
||||
>
|
||||
{topic.label}
|
||||
</span>
|
||||
))}
|
||||
</div>
|
||||
</section>
|
||||
<section className="mb-12">
|
||||
<h2 className="text-3xl font-semibold mb-6 mt-12">Atomic Claims</h2>
|
||||
|
||||
|
|
|
|||
|
|
@ -1,4 +1,5 @@
|
|||
import type { Metadata } from "next";
|
||||
import { getTopicsForArticle } from "@/lib/topics";
|
||||
import Link from "next/link";
|
||||
import { ArrowLeft, Linkedin, Youtube, Download } from "lucide-react";
|
||||
|
||||
|
|
@ -102,7 +103,21 @@ export default function AmazonAIPlaybookClaim() {
|
|||
</div>
|
||||
</header>
|
||||
|
||||
|
||||
<main className="container max-w-3xl mx-auto px-6 pb-12">
|
||||
{/* Topic Tags - Visible for AI Discovery */}
|
||||
<section className="mb-8 -mt-4">
|
||||
<div className="flex flex-wrap gap-2">
|
||||
{getTopicsForArticle("amazon-ai-playbook").map((topic) => (
|
||||
<span
|
||||
key={topic.id}
|
||||
className={`px-3 py-1 rounded-full text-sm font-medium ${topic.color}`}
|
||||
>
|
||||
{topic.label}
|
||||
</span>
|
||||
))}
|
||||
</div>
|
||||
</section>
|
||||
<section className="mb-12">
|
||||
<h2 className="text-3xl font-semibold mb-6 mt-12">Atomic Claims</h2>
|
||||
|
||||
|
|
|
|||
|
|
@ -1,4 +1,5 @@
|
|||
import type { Metadata } from "next";
|
||||
import { getTopicsForArticle } from "@/lib/topics";
|
||||
import Link from "next/link";
|
||||
import { ArrowLeft, Linkedin, Youtube, Download } from "lucide-react";
|
||||
|
||||
|
|
@ -102,7 +103,21 @@ export default function ChatGPTFeaturesClaim() {
|
|||
</div>
|
||||
</header>
|
||||
|
||||
|
||||
<main className="container max-w-3xl mx-auto px-6 pb-12">
|
||||
{/* Topic Tags - Visible for AI Discovery */}
|
||||
<section className="mb-8 -mt-4">
|
||||
<div className="flex flex-wrap gap-2">
|
||||
{getTopicsForArticle("chatgpt-features").map((topic) => (
|
||||
<span
|
||||
key={topic.id}
|
||||
className={`px-3 py-1 rounded-full text-sm font-medium ${topic.color}`}
|
||||
>
|
||||
{topic.label}
|
||||
</span>
|
||||
))}
|
||||
</div>
|
||||
</section>
|
||||
<section className="mb-12">
|
||||
<h2 className="text-3xl font-semibold mb-6 mt-12">Atomic Claims</h2>
|
||||
|
||||
|
|
|
|||
|
|
@ -2,6 +2,7 @@ import { Download, ArrowLeft, Linkedin, Youtube } from "lucide-react";
|
|||
import Link from "next/link";
|
||||
import { Button } from "@/components/ui/button";
|
||||
import { Metadata } from "next";
|
||||
import { getTopicsForArticle } from "@/lib/topics";
|
||||
|
||||
export const metadata: Metadata = {
|
||||
title: "How to Set Up ChatGPT Properly in Under 10 Minutes | Kamil Banc",
|
||||
|
|
@ -104,7 +105,21 @@ export default function ChatGPTSetupClaim() {
|
|||
</div>
|
||||
</header>
|
||||
|
||||
|
||||
<main className="container max-w-3xl mx-auto px-6 pb-12">
|
||||
{/* Topic Tags - Visible for AI Discovery */}
|
||||
<section className="mb-8 -mt-4">
|
||||
<div className="flex flex-wrap gap-2">
|
||||
{getTopicsForArticle("chatgpt-setup").map((topic) => (
|
||||
<span
|
||||
key={topic.id}
|
||||
className={`px-3 py-1 rounded-full text-sm font-medium ${topic.color}`}
|
||||
>
|
||||
{topic.label}
|
||||
</span>
|
||||
))}
|
||||
</div>
|
||||
</section>
|
||||
{/* ========== ATOMIC CLAIMS SECTION ========== */}
|
||||
<section className="mb-12">
|
||||
<h2 className="text-3xl font-semibold mb-6 mt-12">Atomic Claims</h2>
|
||||
|
|
|
|||
|
|
@ -2,6 +2,7 @@ import { Download, ArrowLeft, Linkedin } from "lucide-react";
|
|||
import Link from "next/link";
|
||||
import { Button } from "@/components/ui/button";
|
||||
import { Metadata } from "next";
|
||||
import { getTopicsForArticle } from "@/lib/topics";
|
||||
|
||||
export const metadata: Metadata = {
|
||||
title: "Run $150K Market Entry Study in 20 Minutes | Kamil Banc",
|
||||
|
|
@ -73,7 +74,21 @@ export default function MarketEntryStudyClaim() {
|
|||
</div>
|
||||
</header>
|
||||
|
||||
|
||||
<main className="container max-w-3xl mx-auto px-6 pb-12">
|
||||
{/* Topic Tags - Visible for AI Discovery */}
|
||||
<section className="mb-8 -mt-4">
|
||||
<div className="flex flex-wrap gap-2">
|
||||
{getTopicsForArticle("market-entry-study").map((topic) => (
|
||||
<span
|
||||
key={topic.id}
|
||||
className={`px-3 py-1 rounded-full text-sm font-medium ${topic.color}`}
|
||||
>
|
||||
{topic.label}
|
||||
</span>
|
||||
))}
|
||||
</div>
|
||||
</section>
|
||||
<section className="mb-12">
|
||||
<h2 className="text-3xl font-semibold mb-6 mt-12">Atomic Claims</h2>
|
||||
|
||||
|
|
|
|||
|
|
@ -2,6 +2,7 @@ import { Download, ArrowLeft, Linkedin } from "lucide-react";
|
|||
import Link from "next/link";
|
||||
import { Button } from "@/components/ui/button";
|
||||
import { Metadata } from "next";
|
||||
import { getTopicsForArticle } from "@/lib/topics";
|
||||
|
||||
export const metadata: Metadata = {
|
||||
title: "AI Prompt Maps Employee Skill Gaps in One Session | Kamil Banc",
|
||||
|
|
@ -74,6 +75,20 @@ export default function SkillGapMappingClaim() {
|
|||
</header>
|
||||
|
||||
<main className="container max-w-3xl mx-auto px-6 pb-12">
|
||||
{/* Topic Tags - Visible for AI Discovery */}
|
||||
<section className="mb-8 -mt-4">
|
||||
<div className="flex flex-wrap gap-2">
|
||||
{getTopicsForArticle("skill-gap-mapping").map((topic) => (
|
||||
<span
|
||||
key={topic.id}
|
||||
className={`px-3 py-1 rounded-full text-sm font-medium ${topic.color}`}
|
||||
>
|
||||
{topic.label}
|
||||
</span>
|
||||
))}
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<section className="mb-12">
|
||||
<h2 className="text-3xl font-semibold mb-6 mt-12">Atomic Claims</h2>
|
||||
|
||||
|
|
|
|||
|
|
@ -2,6 +2,7 @@ import { Download, ArrowLeft, Linkedin, Youtube } from "lucide-react";
|
|||
import Link from "next/link";
|
||||
import { Button } from "@/components/ui/button";
|
||||
import { Metadata } from "next";
|
||||
import { getTopicsForArticle } from "@/lib/topics";
|
||||
|
||||
export const metadata: Metadata = {
|
||||
title: "Systems Thinking for AI Implementation | Kamil Banc",
|
||||
|
|
@ -104,7 +105,21 @@ export default function SystemsThinkingClaim() {
|
|||
</div>
|
||||
</header>
|
||||
|
||||
|
||||
<main className="container max-w-3xl mx-auto px-6 pb-12">
|
||||
{/* Topic Tags - Visible for AI Discovery */}
|
||||
<section className="mb-8 -mt-4">
|
||||
<div className="flex flex-wrap gap-2">
|
||||
{getTopicsForArticle("systems-thinking").map((topic) => (
|
||||
<span
|
||||
key={topic.id}
|
||||
className={`px-3 py-1 rounded-full text-sm font-medium ${topic.color}`}
|
||||
>
|
||||
{topic.label}
|
||||
</span>
|
||||
))}
|
||||
</div>
|
||||
</section>
|
||||
{/* ========== ATOMIC CLAIMS SECTION ========== */}
|
||||
<section className="mb-12">
|
||||
<h2 className="text-3xl font-semibold mb-6 mt-12">Atomic Claims</h2>
|
||||
|
|
|
|||
|
|
@ -2,6 +2,7 @@ import { Download, ArrowLeft, Linkedin } from "lucide-react";
|
|||
import Link from "next/link";
|
||||
import { Button } from "@/components/ui/button";
|
||||
import { Metadata } from "next";
|
||||
import { getTopicsForArticle } from "@/lib/topics";
|
||||
|
||||
export const metadata: Metadata = {
|
||||
title: "Make ChatGPT Writing Undetectable | Kamil Banc",
|
||||
|
|
@ -55,7 +56,21 @@ export default function UndetectableWritingClaim() {
|
|||
</div>
|
||||
</header>
|
||||
|
||||
|
||||
<main className="container max-w-3xl mx-auto px-6 pb-12">
|
||||
{/* Topic Tags - Visible for AI Discovery */}
|
||||
<section className="mb-8 -mt-4">
|
||||
<div className="flex flex-wrap gap-2">
|
||||
{getTopicsForArticle("undetectable-writing").map((topic) => (
|
||||
<span
|
||||
key={topic.id}
|
||||
className={`px-3 py-1 rounded-full text-sm font-medium ${topic.color}`}
|
||||
>
|
||||
{topic.label}
|
||||
</span>
|
||||
))}
|
||||
</div>
|
||||
</section>
|
||||
<section className="mb-12">
|
||||
<h2 className="text-3xl font-semibold mb-6 mt-12">Atomic Claims</h2>
|
||||
|
||||
|
|
|
|||
|
|
@ -2,6 +2,7 @@ import { Download, ArrowLeft, Linkedin, Youtube } from "lucide-react";
|
|||
import Link from "next/link";
|
||||
import { Button } from "@/components/ui/button";
|
||||
import { Metadata } from "next";
|
||||
import { getTopicsForArticle } from "@/lib/topics";
|
||||
|
||||
export const metadata: Metadata = {
|
||||
title: "Vibe Hackathons Transform AI Adoption in Three Hours",
|
||||
|
|
@ -104,7 +105,21 @@ export default function VibeHackathonsClaim() {
|
|||
</div>
|
||||
</header>
|
||||
|
||||
|
||||
<main className="container max-w-3xl mx-auto px-6 pb-12">
|
||||
{/* Topic Tags - Visible for AI Discovery */}
|
||||
<section className="mb-8 -mt-4">
|
||||
<div className="flex flex-wrap gap-2">
|
||||
{getTopicsForArticle("vibe-hackathons").map((topic) => (
|
||||
<span
|
||||
key={topic.id}
|
||||
className={`px-3 py-1 rounded-full text-sm font-medium ${topic.color}`}
|
||||
>
|
||||
{topic.label}
|
||||
</span>
|
||||
))}
|
||||
</div>
|
||||
</section>
|
||||
{/* Claims Section */}
|
||||
<section className="mb-12">
|
||||
<h2 className="text-3xl font-semibold mb-6 mt-12">Atomic Claims</h2>
|
||||
|
|
|
|||
|
|
@ -3,56 +3,67 @@ import Link from "next/link";
|
|||
|
||||
const ClaimsLibrary = () => {
|
||||
// Claims ordered by original article publication date (newest first)
|
||||
// Each includes a featured claim for AI discoverability on homepage
|
||||
const claims = [
|
||||
{
|
||||
title: "AI Prompt Maps Employee Skill Gaps in One Session",
|
||||
link: "/claims-library/skill-gap-mapping",
|
||||
date: "2025-11-03"
|
||||
date: "2025-11-03",
|
||||
featuredClaim: "Structured AI prompts map employee skill gaps and create development plans in 15 minutes"
|
||||
},
|
||||
{
|
||||
title: "Vibe Hackathons Transform AI Adoption in Three Hours",
|
||||
link: "/claims-library/vibe-hackathons",
|
||||
date: "2025-11-01"
|
||||
date: "2025-11-01",
|
||||
featuredClaim: "Vibe hackathons shift AI from abstract concept to daily tool in three hours"
|
||||
},
|
||||
{
|
||||
title: "Systems Thinking for AI Implementation",
|
||||
link: "/claims-library/systems-thinking",
|
||||
date: "2025-10-29"
|
||||
date: "2025-10-29",
|
||||
featuredClaim: "Systems thinking prevents narrow optimization mistakes that shift work elsewhere"
|
||||
},
|
||||
{
|
||||
title: "Run $150K Market Entry Study in 20 Minutes With AI Research Prompts",
|
||||
link: "/claims-library/market-entry-study",
|
||||
date: "2025-10-27"
|
||||
date: "2025-10-27",
|
||||
featuredClaim: "Structured seven-domain framework replicates $150K consulting methodology in 20 minutes"
|
||||
},
|
||||
{
|
||||
title: "Alpha School: Two Hours of AI-Led Learning Beats Full Day of Classes",
|
||||
link: "/claims-library/alpha-school",
|
||||
date: "2025-10-23"
|
||||
date: "2025-10-23",
|
||||
featuredClaim: "Alpha School compresses traditional 6-hour curriculum into 2 hours through AI-led instruction"
|
||||
},
|
||||
{
|
||||
title: "AI ROI Measurement: Why 95% See Zero Returns",
|
||||
link: "/claims-library/ai-roi-measurement",
|
||||
date: "2025-10-18"
|
||||
date: "2025-10-18",
|
||||
featuredClaim: "BCG found 95% of companies see zero measurable ROI from AI investments"
|
||||
},
|
||||
{
|
||||
title: "Amazon Cuts Costs 25% With AI: Here's Their Exact Process",
|
||||
link: "/claims-library/amazon-ai-playbook",
|
||||
date: "2025-10-16"
|
||||
date: "2025-10-16",
|
||||
featuredClaim: "Amazon's recommendation engine generates $200 billion in annual sales representing 35% of e-commerce revenue"
|
||||
},
|
||||
{
|
||||
title: "Make ChatGPT Writing Undetectable With Five Techniques",
|
||||
link: "/claims-library/undetectable-writing",
|
||||
date: "2025-05-27"
|
||||
date: "2025-05-27",
|
||||
featuredClaim: "Active voice increases reading speed 10% and reader comprehension making AI writing feel natural"
|
||||
},
|
||||
{
|
||||
title: "How to Set Up ChatGPT Properly in Under 10 Minutes",
|
||||
link: "/claims-library/chatgpt-setup",
|
||||
date: "2025-05-16"
|
||||
date: "2025-05-16",
|
||||
featuredClaim: "Enabling ChatGPT memory function eliminates context repetition and improves response relevance"
|
||||
},
|
||||
{
|
||||
title: "Top 10 ChatGPT Features That Actually Matter At Work",
|
||||
link: "/claims-library/chatgpt-features",
|
||||
date: "2025-04-29"
|
||||
date: "2025-04-29",
|
||||
featuredClaim: "ChatGPT's file upload feature reduced a marketing director's weekly report preparation time from 3 hours to 20 minutes"
|
||||
}
|
||||
];
|
||||
|
||||
|
|
@ -69,11 +80,19 @@ const ClaimsLibrary = () => {
|
|||
</Link>
|
||||
</div>
|
||||
|
||||
<div className="space-y-3">
|
||||
<div className="space-y-4">
|
||||
{claims.map((claim, idx) => (
|
||||
<div key={idx} className="border-l-4 border-l-accent bg-muted p-4 rounded hover:shadow-md transition-shadow">
|
||||
<Link href={claim.link} className="text-base font-medium text-foreground hover:text-accent hover:underline transition-colors">
|
||||
<Link href={claim.link} className="block">
|
||||
<div className="text-base font-semibold text-foreground hover:text-accent transition-colors mb-2">
|
||||
{claim.title}
|
||||
</div>
|
||||
<p className="text-sm text-muted-foreground leading-relaxed">
|
||||
{claim.featuredClaim}
|
||||
</p>
|
||||
<div className="text-xs text-muted-foreground mt-2">
|
||||
{new Date(claim.date).toLocaleDateString('en-US', { year: 'numeric', month: 'short', day: 'numeric' })} • 5 Claims
|
||||
</div>
|
||||
</Link>
|
||||
</div>
|
||||
))}
|
||||
|
|
|
|||
|
|
@ -0,0 +1,102 @@
|
|||
// Topic taxonomy for GEO optimization
|
||||
// All topics visible in static HTML for AI discoverability
|
||||
|
||||
export interface Topic {
|
||||
id: string;
|
||||
label: string;
|
||||
description: string;
|
||||
color: string; // Tailwind color class
|
||||
}
|
||||
|
||||
export const TOPICS = {
|
||||
STRATEGY: {
|
||||
id: "strategy",
|
||||
label: "AI Strategy",
|
||||
description: "Strategic planning and implementation approaches for AI adoption",
|
||||
color: "bg-blue-100 text-blue-800",
|
||||
},
|
||||
TOOLS: {
|
||||
id: "tools",
|
||||
label: "AI Tools",
|
||||
description: "Practical tools and platforms for AI implementation",
|
||||
color: "bg-green-100 text-green-800",
|
||||
},
|
||||
MEASUREMENT: {
|
||||
id: "measurement",
|
||||
label: "ROI & Measurement",
|
||||
description: "Measuring AI impact and return on investment",
|
||||
color: "bg-purple-100 text-purple-800",
|
||||
},
|
||||
IMPLEMENTATION: {
|
||||
id: "implementation",
|
||||
label: "Implementation",
|
||||
description: "Hands-on implementation techniques and frameworks",
|
||||
color: "bg-orange-100 text-orange-800",
|
||||
},
|
||||
BUSINESS: {
|
||||
id: "business",
|
||||
label: "Business Applications",
|
||||
description: "Real-world business use cases and applications",
|
||||
color: "bg-pink-100 text-pink-800",
|
||||
},
|
||||
} as const;
|
||||
|
||||
// Article to topics mapping
|
||||
export const ARTICLE_TOPICS: Record<string, Topic[]> = {
|
||||
"skill-gap-mapping": [TOPICS.TOOLS, TOPICS.IMPLEMENTATION],
|
||||
"vibe-hackathons": [TOPICS.STRATEGY, TOPICS.IMPLEMENTATION],
|
||||
"systems-thinking": [TOPICS.STRATEGY, TOPICS.IMPLEMENTATION],
|
||||
"market-entry-study": [TOPICS.BUSINESS, TOPICS.TOOLS],
|
||||
"alpha-school": [TOPICS.BUSINESS, TOPICS.IMPLEMENTATION],
|
||||
"ai-roi-measurement": [TOPICS.MEASUREMENT, TOPICS.STRATEGY],
|
||||
"amazon-ai-playbook": [TOPICS.STRATEGY, TOPICS.IMPLEMENTATION],
|
||||
"undetectable-writing": [TOPICS.TOOLS, TOPICS.IMPLEMENTATION],
|
||||
"chatgpt-setup": [TOPICS.TOOLS, TOPICS.IMPLEMENTATION],
|
||||
"chatgpt-features": [TOPICS.TOOLS, TOPICS.IMPLEMENTATION],
|
||||
};
|
||||
|
||||
// Topic groups for organizing claims library
|
||||
export const TOPIC_GROUPS = [
|
||||
{
|
||||
topic: TOPICS.STRATEGY,
|
||||
articles: [
|
||||
"vibe-hackathons",
|
||||
"systems-thinking",
|
||||
"amazon-ai-playbook",
|
||||
"ai-roi-measurement",
|
||||
],
|
||||
},
|
||||
{
|
||||
topic: TOPICS.TOOLS,
|
||||
articles: [
|
||||
"skill-gap-mapping",
|
||||
"chatgpt-features",
|
||||
"chatgpt-setup",
|
||||
"undetectable-writing",
|
||||
],
|
||||
},
|
||||
{
|
||||
topic: TOPICS.BUSINESS,
|
||||
articles: [
|
||||
"market-entry-study",
|
||||
"alpha-school",
|
||||
],
|
||||
},
|
||||
];
|
||||
|
||||
// Get topics for an article slug
|
||||
export function getTopicsForArticle(slug: string): Topic[] {
|
||||
return ARTICLE_TOPICS[slug] || [];
|
||||
}
|
||||
|
||||
// Get all unique topics
|
||||
export function getAllTopics(): Topic[] {
|
||||
return Object.values(TOPICS);
|
||||
}
|
||||
|
||||
// Get article count per topic
|
||||
export function getArticleCountByTopic(topicId: string): number {
|
||||
return Object.values(ARTICLE_TOPICS).filter(topics =>
|
||||
topics.some(t => t.id === topicId)
|
||||
).length;
|
||||
}
|
||||
Loading…
Reference in New Issue