docs: more research

This commit is contained in:
Oleg Proskurin 2026-01-02 16:06:07 +07:00
parent 016ba8591e
commit 3dc49683cc
5 changed files with 914 additions and 0 deletions

View File

@ -0,0 +1,80 @@
---
slug: mcp-image-generation-guide
title: "Generate Images in Your IDE with MCP"
status: inbox
created: 2026-01-02
source: research/keywords/docs-seo-analysis-2026-01-02.md
timing: blocked (waiting for MCP feature)
---
# Idea
## Discovery
**Source:** Competitive analysis — Replicate and fal.ai both have MCP documentation
**Evidence:**
- Replicate: replicate.com/docs/reference/mcp
- fal.ai: docs.fal.ai/model-apis/mcp (Cursor-specific guide)
- r/mcp subreddit: 82K subscribers, active discussion of image MCP servers
- Third-party MCP servers for image generation on GitHub (seedream, flux, etc.)
## Why This Matters
1. **Market expectation** — Developers using Cursor/Claude Code expect MCP integration
2. **Competitor parity** — Both major competitors have this documented
3. **Workflow-native positioning** — This is our core value proposition
4. **SEO opportunity** — "image generation mcp" emerging as search term
## Potential Angles
**Option A: Documentation page**
`/docs/mcp/` — Getting started with Banatie MCP server
- Cursor setup guide
- Claude Desktop integration
- Claude Code usage
- Example workflows
**Option B: Tutorial blog post**
"How to Generate Images Without Leaving Your IDE"
- Shows full workflow
- Compares to API calls
- Code examples
**Option C: Comparison**
"Banatie MCP vs Replicate MCP vs fal.ai MCP"
- Feature comparison
- Setup complexity
- Unique Live URLs capability
## Keywords (to research when feature ships)
- "image generation mcp"
- "ai image mcp server"
- "cursor image generation"
- "claude code image generation"
- "mcp server image api"
## Notes
- **BLOCKED** — Cannot publish until MCP feature ships
- Pre-write documentation draft now
- Launch content same day as feature release
- Emphasize Live URLs as unique MCP capability (neither competitor has this)
## Differentiation Point
Key message: "Generate images via URL without writing API code"
```
// Competitor MCP:
"Generate an image of a sunset"
→ Returns image file/data
// Banatie MCP + Live URLs:
"Create a placeholder URL for product images"
→ Returns URL that generates on-demand
→ No storage, instant, shareable
```
This is our unique angle.

View File

@ -0,0 +1,81 @@
---
slug: placeholder-ai-images
title: "AI Placeholder Images — Capture 30K Monthly Searches"
status: inbox
created: 2026-01-02
source: research
priority: high
---
# Idea
## Discovery
**Source:** DataForSEO keyword research + Reddit community analysis
**Evidence:**
- 31,000+ monthly searches for placeholder-related terms
- Zero AI-generated placeholder services exist
- Direct user quote from r/ClaudeAI: "right now my instructions are to just do placeholder image in various sizes... I am wondering if there is an mcp that can create or fetch these images"
## Why This Matters
This is a **blue ocean opportunity**. The entire placeholder image market (placehold.co, picsum.photos, etc.) returns random stock photos or gray boxes. Nobody offers AI-generated, context-aware placeholders.
Banatie's Live URLs feature can capture this entire market with proper positioning.
## Keyword Targets
### Zero/Low Difficulty (Target First)
| Keyword | Volume | KD |
|---------|--------|----|
| image placeholder dark | 4,400 | 2 |
| app placeholder image | 1,900 | 2 |
| profile placeholder image | 720 | 0 |
| ios placeholder image | 590 | 0 |
| dummy photo image | 720 | 5 |
### High Volume Cluster
| Keyword | Volume | KD |
|---------|--------|----|
| placeholder image | 14,800 | 18 |
| image placeholder | 14,800 | 17 |
## Content Strategy
### Option A: Documentation Section
Create `/docs/placeholders/` with subsections:
- Dark mode placeholders (4,400 vol)
- Profile/avatar placeholders (2,500 vol)
- Size-specific placeholders (1,000 vol)
- Mobile app placeholders (1,200 vol)
### Option B: Dedicated Landing Page
Create `/placeholder-images` targeting core 14,800 vol cluster:
- Position Live URLs as "AI Placeholder Service"
- Interactive examples with common sizes
- Code snippets for HTML/CSS/React
### Option C: Both (Recommended)
- Landing page for awareness/SEO
- Docs for conversion/usage
## Competitive Advantage
| Competitor | What They Do | Our Advantage |
|------------|--------------|---------------|
| placehold.co | Gray boxes | Real AI images |
| picsum.photos | Random stock | Context-aware |
| placekitten | Random cats | Prompt-based |
| via.placeholder | Gray boxes, slow | Fast CDN + AI |
## Implementation Notes
For Live URLs to capture this market:
1. Support common sizes: 200x200, 600x400, 1200x630, etc.
2. Enable dark mode generation via URL param
3. Allow category hints: `/live/profile-avatar/200x200`
4. Consider pre-generated cache for instant loading
## Full Research
See: `research/keywords/placeholder-niche-deep-dive-2026-01-02.md`

View File

@ -0,0 +1,331 @@
# Documentation SEO Analysis — January 2, 2026
**Objective:** Identify SEO opportunities for Banatie's technical documentation (10 pages at `/docs/`) without major content changes.
**Budget Used:** ~$0.25 (3 DataForSEO queries)
---
## Executive Summary
### Key Findings
1. **MCP Integration is Table Stakes** — Both Replicate and fal.ai now have official MCP servers. This validates our MCP strategy but also means we must ship and document it to stay competitive.
2. **Placeholder Niche is Wide Open** — SERP for "placeholder image url" (390 volume, KD 21) is dominated by basic random-photo services. None offer AI-generated placeholders. Banatie's Live URLs feature can capture this market.
3. **"Image Generation API" SERP Has No Direct Competitors** — Top 10 dominated by OpenAI, Google, Leonardo. Neither Replicate, fal.ai, nor Runware appear. Opportunity exists for a focused API landing/docs page.
4. **Documentation Structure Gap** — Competitors have model playgrounds, interactive examples, and SDK quickstarts prominently featured. We should highlight these in navigation.
---
## Task 1: Keyword Research (Complete)
### Primary Keywords — Image Generation API
| Keyword | Volume | KD | Intent | Opportunity |
|---------|--------|-----|--------|-------------|
| image generation api | 210 | 31 | Commercial | **TARGET** — exact match, reasonable KD |
| ai image generator api | 90 | 19 | Commercial | **TARGET** — low KD, transactional |
| openai image generation api | 480 | 20 | Navigational | Comparison angle |
| gpt-image-1 api | 210 | 20 | Navigational | Specific model search |
| chatgpt 4o image generation api | 50 | 10 | Navigational | Very low KD |
### Placeholder/Live URL Keywords (Niche Opportunity)
| Keyword | Volume | KD | Opportunity |
|---------|--------|-----|-------------|
| placeholder image url | 390 | 21 | **EXCELLENT** — exact match to Live URLs |
| placeholder image generator | 480 | 32 | **GOOD** — matches use case |
| lorem picsum | 880 | 15 | **EXCELLENT** — competitor brand, beatable |
| random image url | 320 | 24 | **GOOD** — developer testing |
| placeholder image api | 90 | 23 | **GOOD** — exact product match |
### Related Searches (from SERP)
- "Image generation api python" → add Python SDK examples
- "Image generation API pricing" → pricing transparency
- "Placeholder image url generator" → Live URLs positioning
---
## Task 2: Competitor Documentation Analysis (Complete)
### Replicate
**URL:** replicate.com/docs
**Structure:**
- Getting Started / How it Works
- HTTP API Reference (detailed endpoints)
- SDKs (Python, JavaScript, Go, Swift)
- Explore (model browser)
- Collections (curated model groups)
- **MCP Server** ← NEW, official integration
**Strengths:**
- Interactive model pages with live testing
- Multiple SDK support with examples
- Strong API reference with cURL examples
- Migration guides from other platforms
**Weaknesses:**
- Generic platform (not image-specific)
- Complex pricing varies by model
- No built-in delivery/CDN
### fal.ai
**URL:** docs.fal.ai
**Structure:**
- Model APIs (core documentation)
- Quickstart
- Client Libraries (JS, Python)
- Model Endpoints / Queue API
- Guides (text-to-image, video, etc.)
- **MCP Integration** ← documented for Cursor
- Platform APIs (model management)
- Examples & Tutorials
- Model Playgrounds (interactive)
**Strengths:**
- MCP integration documented for Cursor/Claude
- Model playgrounds prominent
- Clear separation: Model APIs vs Platform APIs
- OpenAPI schema published
**Weaknesses:**
- Dense documentation
- Less beginner-friendly than Replicate
### Runware
**URL:** docs.runware.ai
**Structure:**
- Getting Started / Introduction
- API References by type:
- Image Inference
- Video Inference
- Audio Inference
- Utilities (Model Search)
- Tools (Caption API)
- Model Providers (OpenAI, etc.)
**Strengths:**
- Task-based architecture (clear pattern)
- Multi-modal coverage
- Aggressive pricing ($0.0006/image)
**Weaknesses:**
- No visible MCP integration
- Less polished documentation
- No model playground
### Competitive Matrix
| Feature | Replicate | fal.ai | Runware | **Banatie** |
|---------|-----------|--------|---------|-------------|
| MCP Server | ✅ Official | ✅ Official | ❌ No | 🔜 Planned |
| Playground | ✅ Yes | ✅ Yes | ❌ No | ❌ No |
| Python SDK | ✅ Yes | ✅ Yes | ✅ Yes | ❌ No |
| JS SDK | ✅ Yes | ✅ Yes | ✅ Yes | ❌ No |
| OpenAPI Spec | ✅ Yes | ✅ Yes | ❓ Unknown | ❌ No |
| Live URL Gen | ❌ No | ❌ No | ❌ No | ✅ **Unique** |
| Built-in CDN | ❌ No | ❌ No | ❌ No | ✅ **Unique** |
---
## Task 3: SERP Analysis (Complete)
### "image generation api" — Top 10
| Position | Domain | Type |
|----------|--------|------|
| 1 | platform.openai.com | Documentation |
| 2 | ai.google.dev | Documentation |
| 3 | leonardo.ai | Landing page |
| 4 | reddit.com | Discussion |
| 5 | docs.cloud.google.com | Documentation |
| 6 | thehive.ai | Landing page |
| 7 | developer.puter.com | Tutorial |
| 8 | openrouter.ai | Documentation |
| 9 | edenai.co | Landing page |
| 10 | (Images carousel) | — |
**Insight:** Mix of documentation and landing pages. No direct competitors in top 10. Reddit at position 4 shows community engagement potential.
### "placeholder image url" — Top 10
| Position | Domain | Description |
|----------|--------|-------------|
| 1 | placehold.co | Simple placeholder service |
| 2 | picsum.photos | Lorem Picsum (random photos) |
| 3 | reddit.com | r/webdev discussion |
| 4 | placehold.net | Another placeholder service |
| 5 | (Images carousel) | — |
| 6 | loremipsum.io | Article listing services |
| 7 | VS Code extension | — |
| 8 | placeholder.pics | URL-based placeholders |
| 9 | pagebee.io | Random images service |
| 10 | dev.me | Advanced placeholder API |
**Critical Insight:** ALL services return random stock photos. NONE offer AI-generated placeholders. This is a clear market gap.
---
## Recommendations
### 1. Live URLs → Placeholder Market (HIGH PRIORITY)
**Current state:** `/docs/live-urls/` exists but doesn't target placeholder keywords.
**Action:** Expand Live URLs page with new sections:
```
Current title: "Live URLs — Shareable Image Links"
Add sections:
- "Use as Placeholder Images"
Target: "placeholder image url", "placeholder image api"
- "Alternative to Lorem Picsum"
Target: "lorem picsum", competitor comparison
- "Dynamic Testing Images"
Target: "random image url", "free image url for testing"
```
**Traffic potential:** 1,500+ monthly searches from placeholder niche
### 2. MCP Documentation Page (HIGH PRIORITY — pending feature)
**Why:** Both Replicate and fal.ai have MCP docs. Developers expect this.
**Action:** When MCP server ships, create `/docs/mcp/` with:
- Cursor integration guide
- Claude Desktop setup
- Claude Code integration
- Example workflows
**Target keywords:** "image generation mcp", "ai image mcp server"
### 3. Comparison Content (MEDIUM PRIORITY)
**Option A:** Dedicated comparison page `/docs/vs-openai/`
**Option B:** Blog post "Banatie vs OpenAI Image API"
**Target keywords:**
- "openai image generation api" (480 volume, KD 20)
- "openai api pricing" (12K volume, comparison angle)
**Content:** Feature comparison table, pricing comparison, code examples side-by-side.
### 4. Python/SDK Examples (MEDIUM PRIORITY)
**Why:** "image generation api python" appears in related searches and competitors have SDK docs.
**Action:** Add Python snippets to Getting Started page, consider future SDK.
### 5. Interactive Playground (LOW PRIORITY — significant effort)
**Why:** All major competitors have playgrounds. Developers expect to test before integrating.
**Action:** Consider for roadmap, not documentation-only change.
---
## Content Ideas Generated
### For 0-inbox/
1. **placeholder-ai-images.md** — "AI-Powered Placeholder Images for Developers"
- Target: placeholder niche keywords
- Angle: Why AI placeholders beat random stock photos
2. **mcp-image-generation.md** — "Generate Images in Your IDE with MCP"
- Target: MCP + image generation intersection
- Timing: When MCP feature ships
3. **lorem-picsum-alternative.md** — "Lorem Picsum Alternative: AI Placeholders"
- Target: "lorem picsum" (880 volume, KD 15)
- Angle: Direct competitor comparison
---
## Research Tools Used
| Tool | Queries | Cost |
|------|---------|------|
| Brave Search | 5 queries | Free |
| Perplexity | 3 queries | Free |
| DataForSEO | 3 queries (~$0.08 each) | ~$0.25 |
**Total:** ~$0.25 / $0.50 budget
---
## Next Steps
1. [ ] Implement Live URLs page expansion (placeholder keywords)
2. [ ] Create content ideas in 0-inbox/
3. [ ] Ship MCP server → document immediately
4. [ ] Consider comparison page strategy
5. [ ] Track rankings for target keywords monthly
---
## Appendix: Full Keyword Data
### Image Generation API Keywords
```
image generation api | 210 | KD 31 | Commercial
ai image generator api | 90 | KD 19 | Commercial
openai image generation api | 480 | KD 20 | Navigational
gpt-image-1 api | 210 | KD 20 | Navigational
chatgpt 4o image generation api | 50 | KD 10 | Navigational
image generation api python | — | — | Informational
image generation api pricing | 10 | Low | Commercial
```
### Placeholder Keywords
```
placeholder image url | 390 | KD 21 | Informational
placeholder image generator | 480 | KD 32 | Informational
lorem picsum | 880 | KD 15 | Navigational (competitor)
random image url | 320 | KD 24 | Informational
placeholder image api | 90 | KD 23 | Commercial
image placeholder html | 320 | KD 33 | Informational
```
---
## Expanded Research: Placeholder Niche Deep Dive
**See:** `placeholder-niche-deep-dive-2026-01-02.md`
Follow-up research revealed the placeholder opportunity is **15x larger** than initially estimated:
| Original Estimate | Expanded Research |
|-------------------|-------------------|
| ~2,100 monthly searches | **31,000+ monthly searches** |
| 6 keywords identified | **40+ keywords identified** |
| KD range: 15-33 | **Multiple KD 0-5 keywords found** |
### Key Additions from Deep Dive
**Zero-Difficulty Keywords (KD 0-5):**
- image placeholder dark — 4,400 vol, KD 2
- app placeholder image — 1,900 vol, KD 2
- profile placeholder image — 720 vol, KD 0
- ios placeholder image — 590 vol, KD 0
- dummy photo image — 720 vol, KD 5
**Community Validation (Reddit):**
> "right now my instructions are to just do placeholder image in various sizes... I am wondering if there is an mcp that can create or fetch these images for Claude instead."
This quote from r/ClaudeAI directly validates our use case and MCP strategy.

View File

@ -0,0 +1,212 @@
# @spy Research Brief: Documentation SEO Analysis
**Date:** January 2, 2026
**Priority:** Medium
**Requested by:** @men (strategy session)
**Budget limit:** $0.50 DataForSEO
---
## Context
We've launched documentation section at `banatie.app/docs/` with 10 pages. SEO metadata and JSON-LD schemas are implemented. Now we need competitive intelligence to identify potential improvements.
**Constraint:** No major content changes — this is technical documentation. Looking for small optimizations and gaps we might be missing.
---
### Task 0: Free search and analysis of existing documentation section
**Goal:** Inspect real NextJS pages for potential content improvements and to be aware of what exact content we have in docs section
Browse docs section in landing app project (NextJS) using Filesystem MCP:
`/projects/my-projects/banatie-service/apps/landing/src/app/(apps)/docs`
Understand the content. Collect the list of potential topics and keywords we can consider to promote via SEO
---
## Research Tasks
### Task 1: Keyword Opportunities
**Goal:** Find keywords developers use when searching for image generation API documentation.
**DataForSEO queries:**
```
Seeds to research:
- "image generation api"
- "ai image api documentation"
- "text to image api tutorial"
- "generate image from prompt api"
```
**What to find:**
1. Related keywords with Volume > 50, KD < 40
2. Long-tail variations we might target
3. Question-based keywords ("how to generate image with api")
**Output format:**
```
| Keyword | Volume | KD | Intent | Opportunity |
|---------|--------|-----|--------|-------------|
```
---
### Task 2: Competitor Documentation Structure
**Goal:** Understand what sections competitors have that we might be missing.
**Targets to analyze:**
1. `docs.replicate.com` — market leader in AI model APIs
2. `fal.ai/docs` — direct competitor, similar positioning
3. `docs.runware.ai` — budget competitor
4. `cloudinary.com/documentation` — gold standard for image APIs
**What to check:**
- Main navigation structure (what sections exist)
- Do they have interactive elements? (playgrounds, live code)
- Do they have SDK/CLI docs? (we don't yet but plan to)
- Any unique sections we don't have?
**Output format:**
```
## [Competitor Name]
**URL:** ...
**Main sections:**
- Section 1
- Section 2
...
**Unique elements:**
- ...
**What we could adopt:**
- ...
```
---
### Task 3: SERP Analysis
**Goal:** Understand what type of content ranks for our target queries.
**Queries to check:**
1. "image generation api"
## Deliverables
Create file: `/banatie-content/research/keywords/docs-seo-analysis-2026-01-02.md`
Structure:
```
## Deliverables
Create file: `/banatie-content/research/keywords/docs-seo-analysis-2026-01-02.md`
Structure:
```
2. "ai image api documentation"
3. "text to image rest api"
4. "generate image from text api"
**What to note:**
- Who ranks in top 10?
- What content type? (landing page, docs, tutorial, blog post)
- Any featured snippets? What format?
- Do any competitors appear?
**Output format:**
```
## Query: "[keyword]"
**Top 3 results:**
1. [URL] — [Type: landing/docs/blog] — [Brief description]
2. ...
3. ...
**Featured snippet:** Yes/No — [Format if yes]
**Our competitors present:** [List]
```
---
### Task 4: Content Gap Analysis (Optional if budget allows)
**Goal:** Find keywords competitors rank for that we don't cover.
**Method:** Use DataForSEO `domain_intersection` or `ranked_keywords` for:
- replicate.com/docs
- fal.ai/docs
Filter for keywords with:
- Volume > 100
- Related to image generation
- We have no content for
---
## Deliverables
Create file: `/banatie-content/research/keywords/docs-seo-analysis-2026-01-02.md`
Structure:
```markdown
# Documentation SEO Analysis
**Date:** January 2, 2026
**Research by:** @spy
## Executive Summary
[2-3 key findings]
## 1. Keyword Opportunities
[Task 1 results]
## 2. Competitor Structure Analysis
[Task 2 results]
## 3. SERP Analysis
[Task 3 results]
## 4. Content Gaps (if completed)
[Task 4 results]
## Recommendations
[Prioritized list of actionable improvements]
## Strategic Signals
[Anything that should go to banatie-strategy/inbox/]
```
---
## Notes for @spy
- Focus on actionable insights, not comprehensive data dumps
- If something is strategically important (funding, major competitor move), create separate file in `banatie-strategy/inbox/`
- Budget is limited — prioritize Tasks 1-3, Task 4 only if budget remains
- We're NOT changing our documentation structure significantly — looking for small wins
---
## Success Criteria
Good research will answer:
1. Are there keywords with decent volume that we should add to our pages?
2. Are competitors doing something in their docs that we should consider?
3. What content type does Google prefer for these queries?
4. Any quick wins we can implement this week?
---
**End of Brief**

View File

@ -0,0 +1,210 @@
# Placeholder Image Niche — Deep Dive Research
**Date:** 2026-01-02
**Type:** Keyword Research + Community Analysis
**Budget Used:** ~$0.15 (4 DataForSEO queries)
---
## Executive Summary
The placeholder image niche represents a **significantly larger opportunity** than initially estimated. Total addressable search volume exceeds **30,000+ monthly searches** across variations, with multiple zero-difficulty keywords available.
**Key Finding:** No AI-generated placeholder services exist. All competitors (placehold.co, picsum.photos, etc.) return random stock photos. Banatie's Live URLs feature can capture this entire market.
---
## Keyword Clusters
### Tier 1: High Volume, Low Difficulty (Priority Targets)
| Keyword | Volume | KD | Intent | Notes |
|---------|--------|----|----|-------|
| placeholder image | 14,800 | 18 | Transactional | Base term |
| image placeholder | 14,800 | 17 | Transactional | Synonym |
| photo placeholder image | 14,800 | 24 | Transactional | Synonym cluster |
| image placeholder dark | 4,400 | 2 | Transactional | **+50% YoY growth** |
| app placeholder image | 1,900 | 2 | Transactional | **+123% YoY growth** |
| placeholder image dark | 1,300 | 6 | Transactional | Dark mode variant |
### Tier 2: Developer-Specific Keywords
| Keyword | Volume | KD | Intent | Notes |
|---------|--------|----|----|-------|
| placeholder image css | 720 | 12-13 | Informational | Code examples |
| placeholder image url | 390 | 21 | Navigational | **+85% YoY, direct product match** |
| placeholder image html | 320 | 26-33 | Informational | Code examples |
| dummy image | 720 | 27 | Transactional | Alternative term |
| dummy photo image | 720 | 5 | Transactional | **Very low KD** |
### Tier 3: Use-Case Specific
**Profile/Avatar (~2K combined):**
| Keyword | Volume | KD |
|---------|--------|----|
| placeholder profile image | 720 | 21 |
| profile image placeholder | 720 | 21 |
| profile placeholder image | 720 | 0 |
| person placeholder image | 320 | 14-19 |
**Loading States (~1K combined):**
| Keyword | Volume | KD |
|---------|--------|----|
| image loading placeholder | 210 | 24 |
| loading image placeholder | 170 | 0 |
| image placeholder gif | 480 | 8 |
**Size-Specific (~1K combined):**
| Keyword | Volume | KD |
|---------|--------|----|
| 200x200 placeholder image | 390 | 33 |
| 150x150 placeholder image | 210 | 13 |
| placeholder image 600 x 400 | 260 | 0 |
### Tier 4: Mobile/Framework (Growing)
| Keyword | Volume | KD | Trend |
|---------|--------|----|----|
| ios placeholder image | 590 | 0 | **+126% YoY** |
| flutter image placeholder | 480 | 21 | Stable |
| android image placeholder | 170 | 2 | Stable |
---
## Zero-Difficulty Opportunities
These keywords have KD 0-5 and should be targeted first:
1. **profile placeholder image** — 720 vol, KD 0
2. **ios placeholder image** — 590 vol, KD 0, +126% growth
3. **loading image placeholder** — 170 vol, KD 0
4. **placeholder image 600 x 400** — 260 vol, KD 0
5. **book cover placeholder image** — 170 vol, KD 0
6. **image placeholder dark** — 4,400 vol, KD 2
7. **app placeholder image** — 1,900 vol, KD 2
8. **android image placeholder** — 170 vol, KD 2
9. **dummy photo image** — 720 vol, KD 5
10. **vertical image placeholder** — 320 vol, KD 5
---
## Community Pain Points (Reddit)
### Direct Validation of Banatie Use Case
From r/ClaudeAI "Claude code mcp to generate images?":
> "right now my instructions are to just do placeholder image in various sizes. These images are usually then replaced with stock photos etc. I am wondering if there is an mcp that can create or fetch these images for Claude instead."
**This is EXACTLY our target user.**
### Existing Pain Points
1. **Service Reliability:**
- "placeholder.com is no more!" — services shut down
- "Placekitten has been flakey" — reliability issues
- "via.placeholder.com API still works, but is really slow"
2. **Pricing Frustration:**
- "$0.04/image seems high" (re: DALL-E API)
- Multiple threads asking for "cheapest image generation API"
- Cloudflare mentioned as budget option
3. **Fragmented MCP Solutions:**
- Together AI Image Server
- Flux Image MCP Server
- OpenAI imagegen-mcp
- mcp-hfspace (HuggingFace)
- No unified, simple solution
4. **Category/Relevance Issues:**
- People want **relevant** images, not random photos
- "Picsum but with categories" projects getting traction
- AI-powered placeholder provider got positive reception
---
## Competitive Landscape
### Current Placeholder Services
| Service | Type | Weakness |
|---------|------|----------|
| placehold.co | Gray boxes with text | No real images |
| picsum.photos | Random stock photos | Not relevant to context |
| placekitten.com | Cat photos | Unreliable, shutting down |
| via.placeholder.com | Gray boxes | Slow, basic |
| static.photos | Categorized stock | Still random within category |
### Gap in Market
**ZERO services offer:**
- AI-generated placeholders
- Context-aware images
- MCP/workflow integration
- Prompt-based customization
---
## Strategic Recommendations
### 1. Documentation SEO (Immediate)
Create dedicated doc sections for:
- `/docs/placeholders/` — Main landing for placeholder keywords
- `/docs/placeholders/dark-mode` — Target 4,400 vol keyword
- `/docs/placeholders/profiles` — Avatar/profile use case
- `/docs/placeholders/sizes` — Size-specific examples
### 2. Landing Page Opportunities
Consider dedicated pages:
- `/placeholder-images` — Target 14,800 vol cluster
- `/ai-placeholder-generator` — Target "generator" keywords
### 3. Content Angles
**Tutorial ideas:**
- "How to Generate Dark Mode Placeholder Images with AI"
- "AI Placeholders for iOS/Flutter/React Native Apps"
- "Replace Stock Photo Placeholders with AI-Generated Images"
### 4. Live URLs Feature Positioning
Live URLs should be positioned as:
- "AI Placeholder Images" — for the placeholder niche
- Works like placehold.co but generates real images
- Prompt in URL = instant relevant placeholder
---
## Total Addressable Market
| Cluster | Monthly Searches |
|---------|-----------------|
| Core placeholder terms | ~15,000 |
| Dark mode variants | ~5,700 |
| Profile/avatar | ~2,500 |
| Developer (CSS/HTML/URL) | ~1,500 |
| Size-specific | ~1,000 |
| Loading states | ~1,000 |
| Mobile/framework | ~1,200 |
| Dummy image variants | ~2,000 |
| Generator/creator | ~1,000 |
| **TOTAL** | **~31,000** |
---
## Next Steps
1. **@strategist:** Review for content prioritization
2. **Docs team:** Create placeholder section structure
3. **Product:** Ensure Live URLs supports common sizes (200x200, 600x400, etc.)
4. **Marketing:** Position Live URLs as "AI Placeholder Service"
---
## Sources
- DataForSEO keyword suggestions (4 queries)
- Reddit: r/webdev, r/ClaudeAI, r/mcp, r/nextjs
- Brave Search community analysis