228 lines
6.6 KiB
Markdown
228 lines
6.6 KiB
Markdown
# Keyword Research Summary — December 2025
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**Date:** 2025-12-27
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**Conducted by:** @strategist
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**Tool:** DataForSEO (Google Ads Search Volume, Related Keywords)
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**Budget spent:** ~$0.35
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**Location:** United States
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**Language:** English
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---
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## Topics Researched
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### 1. Remote Claude Workspace / MCP Remote Access
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**Keywords tested:**
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- claude desktop mcp
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- mcp server remote
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- claude desktop remote access
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- claude projects multiple devices
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- remote ai workspace
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**Key findings:**
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| Keyword | Volume | KD | Competition | Verdict |
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|---------|--------|----|-----------|----|
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| **claude desktop mcp** | 880 | 8 | LOW (0.02) | 🟢 Strong opportunity |
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| mcp server remote | 30 | - | LOW (0.23) | 🟡 Niche but viable |
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| claude desktop (parent) | 18,100 | 30 | LOW (0.09) | 🟢 Massive topic |
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**Trend analysis:**
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- Peak in Apr-July 2025 (1,600-1,900 searches/month)
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- Current: ~400-900/month (declining but stable)
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- YoY growth: +666% from Dec 2024
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**Strategic assessment:**
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- **Best opportunity** among tested topics
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- Low competition (KD 8) = easy to rank
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- Transactional intent = readers ready to implement
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- Parent topic (Claude Desktop) has huge volume → halo effect potential
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**Distribution potential:** Dev.to, HN (Show HN), r/ClaudeAI
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---
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### 2. Claude Code / MCP Image Generation
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**Keywords tested:**
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- claude code image generation
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- mcp image generation
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- generate images cursor ide
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- ai coding image workflow
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**Key findings:**
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| Keyword | Volume | KD | Competition | Verdict |
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|---------|--------|----|-----------|----|
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| claude code image generation | 10 | - | LOW (0.05) | 🟡 Emerging niche |
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| mcp image generation | 10 | - | LOW (0.12) | 🟡 Emerging niche |
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**Trend analysis:**
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- Extremely low volume (10-30/month)
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- Inconsistent pattern, no clear growth trend
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- MCP peaked Jul 2025 (30/month)
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**Strategic assessment:**
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- **Not for traffic** — too low volume
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- **Good for thought leadership** — early mover in MCP ecosystem
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- **Betting on future growth** — if MCP goes mainstream, could 10-100x
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- Historical parallel: early Docker tutorials
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**Distribution potential:** r/modelcontextprotocol, r/ClaudeAI, niche communities
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---
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### 3. "Too Many Models" Problem / Consistency
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**Keywords tested:**
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- too many ai models
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- consistent ai image generation
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- ai image api comparison
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**Key findings:**
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All keywords returned **zero or negligible search volume**.
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**Strategic assessment:**
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- **Problem-aware keywords don't exist** — people experience the pain but don't search for it
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- **Not an SEO play** — won't drive organic traffic
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- **Thought leadership value** — articulates unspoken frustration
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- **Social distribution** — HN, Reddit, LinkedIn (not Google)
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**Alternative approach:**
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- Write as opinion/manifesto piece
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- Target comparison keywords ("stable diffusion vs flux")
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- Focus on counter-positioning vs competitors
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- Distribute via social/community channels
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---
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## Key Learnings
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### 1. Parent Topic Strategy Works
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**Example:** "claude desktop" (18.1k volume) vs "claude desktop mcp" (880 volume)
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- Ranking for specific long-tail can drive halo traffic from parent topic
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- Even low-volume keywords (880) are worth targeting if parent is huge
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- Low KD + high-volume parent = excellent ROI
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### 2. Problem-Aware Keywords Often Don't Exist
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**Pattern identified:**
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- Developers experience pain (choice paralysis, context switching)
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- But don't search for the problem ("too many models" = 0 volume)
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- They search for solutions or specific tools
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**Implication:**
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- Don't rely solely on keyword volume for content decisions
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- Community signals (Reddit, HN, forums) reveal real pain points
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- Thought leadership pieces need social distribution, not SEO
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### 3. Emerging Topics = Early Mover Advantage
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**MCP ecosystem example:**
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- Currently 10-880 searches/month (very low)
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- But competition is near zero (KD 7-12)
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- Potential for 10-100x growth if ecosystem matures
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- Risk: may never materialize
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**Strategy:**
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- Mix quick wins (high volume, low KD) with bets (low volume, emerging)
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- Monitor trends — if MCP volume grows, double down
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- Early content ages well (historical SEO value)
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### 4. Intent Matters More Than Volume
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**Transactional intent observation:**
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- "claude desktop mcp" = 880 volume, transactional intent
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- Readers are ready to implement, high engagement
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- Better than 10k informational searches (low engagement)
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**Ranking factors:**
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- Low KD (7-12) = easy to rank in emerging topics
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- Backlink profile matters less (avg 8-100 domains)
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- Content quality + early timing = win
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---
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## Topic Opportunities Ranked
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| Topic | Volume | KD | Intent | Effort | Verdict |
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|-------|--------|----|----|--------|---------|
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| 1. Remote Claude MCP | 880 | 8 | Transactional | Medium | 🟢 **Do first** |
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| 2. Claude Desktop (parent) | 18.1k | 30 | Commercial | High | 🟢 Long-term target |
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| 3. MCP Image Gen | 10-30 | <12 | - | Medium | 🟡 Thought leadership |
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| 4. Too Many Models | 0 | - | - | Low | 🟡 Social/HN only |
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---
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## Budget Notes
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**Total spent:** ~$0.35
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**API calls made:**
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1. Google Ads Search Volume (11 keywords) — $0.15
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2. Related Keywords for "claude desktop" (depth 1, 20 results) — $0.20
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**Remaining budget:** ~$9.65 for December
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---
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## Recommendations for Future Research
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### High-Priority Topics to Validate
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**AI coding workflow keywords:**
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- "cursor mcp setup"
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- "ai image generation api"
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- "next.js ai images"
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- "placeholder images api"
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**Banatie-specific angles:**
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- "consistent image generation"
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- "project-based image api"
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- "ai image cdn"
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### Research Strategy
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**Before writing any article:**
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1. Check parent topic volume (use Related Keywords)
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2. Verify intent (informational vs transactional)
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3. Look at SERP features (PAA, video, featured snippets)
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4. Check trend (growing vs declining)
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**Budget allocation:**
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- $0.50/article for validation
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- Save budget for quarterly deep dives
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- Use free tools (Perplexity, Brave) for initial discovery
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### Topics NOT Worth Researching
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Based on patterns observed:
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❌ **Don't research:**
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- Problem-aware keywords without solution-seeking behavior
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- Brand-specific queries ("cloudinary pricing" = already decided)
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- Very broad topics with KD >70 (can't compete)
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✅ **DO research:**
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- Solution-seeking keywords ("how to X", "X tutorial")
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- Comparison keywords ("X vs Y")
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- Integration/workflow keywords ("X with Y")
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---
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## Next Steps
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1. **Validate emerging topics quarterly** — check if MCP volume is growing
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2. **Track rankings** — monitor "claude desktop mcp" after publishing
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3. **Expand parent topics** — if "claude desktop mcp" ranks, try related queries
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4. **Test social distribution** — compare HN traffic vs organic for thought pieces
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---
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**Last updated:** 2025-12-27
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**Next review:** 2026-03-27 (quarterly)
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