Ai Brand Analyzer
Analyze brands to generate comprehensive brand.
- Rating
- 4 (227 reviews)
- Downloads
- 27,963 downloads
- Version
- 1.0.0
Overview
Analyze brands to generate comprehensive brand.
Complete Documentation
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Brand Analyzer: AI Brand Identity Profiler
Analyze any brand to generate a comprehensive brand identity JSON profile using Gemini Flash with Google Search grounding.
Overview
Brand Analyzer creates structured brand identity profiles by:
- Researching the brand via Google Search (official data, campaigns, visual identity)
- Analyzing brand behavior, visual patterns, photography style, tone of voice
- Generating a complete JSON profile following the standard template
- Storing the profile for reuse across all creative workflows
When to Use
- User asks to "analyze a brand" or "create a brand profile"
- Before running Ad-Ready when the brand isn't in the catalog
- When the user mentions a brand that doesn't have a profile yet
- To update/refresh an existing brand profile
Quick Commands
Analyze a brand and save to file
GEMINI_API_KEY="$KEY" uv run {baseDir}/scripts/analyze.py \
--brand "Brand Name" \
--output ./brands/Brand_Name.json
Analyze and auto-save to Ad-Ready brands catalog
GEMINI_API_KEY="$KEY" uv run {baseDir}/scripts/analyze.py \
--brand "Heredero Gin" \
--auto-save
The --auto-save flag automatically saves to ~/clawd/ad-ready/configs/Brands/{Brand_Name}.json
Print to stdout
GEMINI_API_KEY="$KEY" uv run {baseDir}/scripts/analyze.py --brand "Nike"
Inputs
| Input | Required | Description |
|---|---|---|
| --brand | ✅ | Brand name to analyze |
| --output | Optional | Output file path (default: stdout) |
| --auto-save | Optional | Auto-save to Ad-Ready brands catalog |
| --api-key | Optional | Gemini API key (or set GEMINI_API_KEY env var) |
Output Format
The generated JSON follows the standard brand identity template used by Ad-Ready:
{
"brand_info": { "name", "tagline", "category", "positioning", "vision", "mission", "origin_story" },
"brand_values": { "core_values", "brand_promise", "differentiators", "non_negotiables" },
"target_audience": { "demographics", "psychographics" },
"tone_of_voice": { "personality_traits", "communication_style", "language_register", ... },
"visual_identity": { "logo", "color_system", "typography", "layout_principles" },
"photography": { "style", "technical" },
"campaign_guidelines": { "visual_tone", "model_casting", "product_presentation", ... },
"brand_behavior": { "do_dont", "immutability" },
"channel_expression": { "retail", "digital", "print" },
"compliance": { ... }
}
Integration with Other Workflows
Ad-Ready
Brand profiles are automatically available asbrand_profile options when generating ads.Morpheus Fashion Design
Brand visual identity (colors, photography style, tone) can inform Morpheus campaigns.Custom Workflows
Load any brand profile JSON to extract visual identity, tone of voice, or campaign guidelines for any creative task.Analysis Methodology
The analyzer follows a 3-phase approach:
Phase 1: Official Research (via Google Search)
- Brand website, corporate pages, official communications
- Locks canonical data: name, founding, positioning, vision, mission, tagline
Phase 2: Campaign Research (via Google Search)
- Google Images and Pinterest for advertising campaigns
- Identifies 10+ distinct campaigns
- Treats them as analytical reference material
Phase 3: Deductive Visual Analysis
- Cross-sectional analysis of visual patterns
- Identifies recurring photography style, color systems, typography
- Fills visual identity fields not covered by official data
API Key
Uses Gemini API. Set via:
GEMINI_API_KEYenvironment variable--api-keyflag
Installation
openclaw install ai-brand-analyzer
💻Code Examples
### Analyze a brand and save to file
GEMINI_API_KEY="$KEY" uv run {baseDir}/scripts/analyze.py \
--brand "Brand Name" \
--output ./brands/Brand_Name.json### Analyze and auto-save to Ad-Ready brands catalog
GEMINI_API_KEY="$KEY" uv run {baseDir}/scripts/analyze.py \
--brand "Heredero Gin" \
--auto-save{
"brand_info": { "name", "tagline", "category", "positioning", "vision", "mission", "origin_story" },
"brand_values": { "core_values", "brand_promise", "differentiators", "non_negotiables" },
"target_audience": { "demographics", "psychographics" },
"tone_of_voice": { "personality_traits", "communication_style", "language_register", ... },
"visual_identity": { "logo", "color_system", "typography", "layout_principles" },
"photography": { "style", "technical" },
"campaign_guidelines": { "visual_tone", "model_casting", "product_presentation", ... },
"brand_behavior": { "do_dont", "immutability" },
"channel_expression": { "retail", "digital", "print" },
"compliance": { ... }
}Tags
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