Brand Identity Analyzer

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name: brand-analyzer description: Analyze brands to generate comprehensive brand identity profiles (JSON). Use when the user wants to analyze a brand, create a brand profile, or needs brand data for ad generation. Stores profiles for reuse across Ad-Ready, Morpheus, and other creative workflows. Can list existing profiles and update them.

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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: 1. Researching the brand via Google Search (official data, campaigns, visual identity) 2. Analyzing brand behavior, visual patterns, photography style, tone of voice 3. Generating a complete JSON profile following the standard template 4. 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

⚠️ MANDATORY: Push to GitHub After Every New Brand Profile

Every time a new brand profile is generated and saved, it MUST be pushed to GitHub immediately. This is non-optional — the ComfyDeploy deployment pulls brand profiles from the repo.

cd ~/clawd/ad-ready
git add configs/Brands/{Brand_Name}.json
git commit -m "Add brand profile: {Brand Name}"
git push origin main

Do NOT skip this step. The ad generation pipeline on ComfyDeploy needs the profile in the repo to work correctly.

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 as brand_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_KEY environment variable

--api-key flag