App Branding Guidelines for ChatGPT Apps: Complete Visual Identity Guide
Strong branding isn't just aesthetic—it directly impacts your ChatGPT app's success. Research shows that consistent brand presentation increases revenue by 33% and builds user trust 2.5x faster than inconsistent branding. In the competitive ChatGPT App Store, where users browse hundreds of apps daily, your brand identity is often the deciding factor between installation and abandonment.
ChatGPT app branding encompasses three critical elements: visual identity (icon, colors, screenshots), verbal identity (name, description, messaging), and experiential identity (in-chat UX, personality). Unlike traditional apps, ChatGPT apps must maintain brand consistency across conversational interfaces where traditional visual branding is limited.
This guide provides production-ready code and frameworks for creating cohesive brand identities that pass OpenAI's approval guidelines, rank higher in search results, and convert browsers into users. Whether you're launching your first ChatGPT app or rebranding an existing one, these battle-tested strategies will help you stand out.
What you'll learn:
- Icon design systems with automated generation and A/B testing
- Name and description optimization using AI-powered analysis
- Visual asset creation pipelines (screenshots, videos, color palettes)
- Brand consistency enforcement across all touchpoints
- Production-ready TypeScript/Node.js code for every branding workflow
Ready to build a brand that users remember and trust? Let's start with the foundation: your brand identity framework.
Brand Identity Framework
Your ChatGPT app's brand identity is the strategic foundation that guides all visual and verbal decisions. A strong framework ensures consistency across every user touchpoint—from the App Store listing to in-chat interactions.
Visual Identity Components
Logo and Icon: Your app icon is the single most important brand asset. It appears in search results, installation confirmations, and chat interfaces. Effective icons are:
- Simple: 3 or fewer visual elements (Apple's guidelines)
- Recognizable: Identifiable at 40x40px and 1024x1024px
- Unique: Distinctive from competitors in your category
- Scalable: Vector-based for crisp rendering at all sizes
Color Palette: ChatGPT apps should use 2-4 primary colors maximum:
- Primary color: Brand recognition (60% of visuals)
- Secondary color: Accents and CTAs (30% of visuals)
- Neutral colors: Backgrounds and text (10% of visuals)
- Accessibility: WCAG AA contrast ratios (4.5:1 minimum)
Typography: While ChatGPT's chat interface uses system fonts, your screenshots and marketing materials should use consistent typefaces:
- Primary font: Headings and brand name
- Secondary font: Body text and descriptions
- Hierarchy: Clear size/weight differentiation
Voice and Tone
Your brand voice defines how your app "speaks" in descriptions, chat responses, and error messages:
Professional apps (Business, Productivity):
- Tone: Authoritative, efficient, trustworthy
- Language: Industry terminology, data-driven claims
- Example: "Streamline workflows with AI-powered automation"
Consumer apps (Entertainment, Lifestyle):
- Tone: Friendly, approachable, energetic
- Language: Conversational, benefit-focused
- Example: "Your personal AI companion for daily inspiration"
Educational apps (Learning, Reference):
- Tone: Expert, patient, encouraging
- Language: Clear explanations, actionable guidance
- Example: "Master new skills with personalized AI tutoring"
Unique Value Proposition
Your UVP differentiates your app in a crowded marketplace. Effective UVPs follow this formula:
[Target Audience] + [Specific Benefit] + [Unique Mechanism]
Examples:
- "Fitness studio owners reach 800M ChatGPT users with zero-code class booking apps"
- "Content creators generate SEO-optimized blog posts 10x faster using conversational AI"
- "Real estate agents automate property searches for buyers via ChatGPT integration"
Brand Personality Archetype
Choose one primary archetype to guide all brand decisions:
- The Expert: Authority, knowledge, trust (Professional services, Finance)
- The Helper: Support, empathy, guidance (Health, Education)
- The Innovator: Cutting-edge, bold, disruptive (Tech, Startups)
- The Friend: Approachable, warm, relatable (Lifestyle, Entertainment)
Consistency checkpoint: Every brand touchpoint—icon, name, description, chat responses—should reinforce your chosen archetype.
Icon Design System
Your app icon is users' first impression and primary recognition cue. A systematic approach to icon design ensures consistency, accessibility, and conversion optimization.
Icon Generator with Canvas API
This production-ready icon generator creates ChatGPT app icons programmatically with customizable colors, shapes, and text overlays:
// icon-generator.ts - Automated icon creation with Canvas API
import { createCanvas, registerFont } from 'canvas';
import fs from 'fs';
import path from 'path';
interface IconConfig {
size: number;
backgroundColor: string;
foregroundColor: string;
shape: 'circle' | 'square' | 'rounded-square' | 'hexagon';
text?: string;
fontFamily?: string;
fontSize?: number;
iconPath?: string; // SVG or PNG overlay
gradientColors?: [string, string]; // Optional gradient
borderRadius?: number; // For rounded-square
}
class IconGenerator {
private canvas: any;
private ctx: any;
constructor(private config: IconConfig) {
this.canvas = createCanvas(config.size, config.size);
this.ctx = this.canvas.getContext('2d');
}
/**
* Generate icon and save to file
*/
async generate(outputPath: string): Promise<void> {
// Draw background
this.drawBackground();
// Draw shape
this.drawShape();
// Add text overlay (if specified)
if (this.config.text) {
this.drawText();
}
// Add icon overlay (if specified)
if (this.config.iconPath) {
await this.drawIconOverlay();
}
// Save to file
const buffer = this.canvas.toBuffer('image/png');
fs.writeFileSync(outputPath, buffer);
console.log(`✅ Icon generated: ${outputPath}`);
}
/**
* Draw background (solid or gradient)
*/
private drawBackground(): void {
if (this.config.gradientColors) {
const gradient = this.ctx.createLinearGradient(
0, 0, this.config.size, this.config.size
);
gradient.addColorStop(0, this.config.gradientColors[0]);
gradient.addColorStop(1, this.config.gradientColors[1]);
this.ctx.fillStyle = gradient;
} else {
this.ctx.fillStyle = this.config.backgroundColor;
}
this.ctx.fillRect(0, 0, this.config.size, this.config.size);
}
/**
* Draw primary shape
*/
private drawShape(): void {
const { size, foregroundColor, shape, borderRadius } = this.config;
const center = size / 2;
const radius = size * 0.35; // 70% of canvas
this.ctx.fillStyle = foregroundColor;
switch (shape) {
case 'circle':
this.ctx.beginPath();
this.ctx.arc(center, center, radius, 0, 2 * Math.PI);
this.ctx.fill();
break;
case 'square':
const squareSize = radius * 1.4;
this.ctx.fillRect(
center - squareSize / 2,
center - squareSize / 2,
squareSize,
squareSize
);
break;
case 'rounded-square':
const roundedSize = radius * 1.4;
const x = center - roundedSize / 2;
const y = center - roundedSize / 2;
const r = borderRadius || size * 0.15;
this.ctx.beginPath();
this.ctx.moveTo(x + r, y);
this.ctx.lineTo(x + roundedSize - r, y);
this.ctx.quadraticCurveTo(x + roundedSize, y, x + roundedSize, y + r);
this.ctx.lineTo(x + roundedSize, y + roundedSize - r);
this.ctx.quadraticCurveTo(x + roundedSize, y + roundedSize, x + roundedSize - r, y + roundedSize);
this.ctx.lineTo(x + r, y + roundedSize);
this.ctx.quadraticCurveTo(x, y + roundedSize, x, y + roundedSize - r);
this.ctx.lineTo(x, y + r);
this.ctx.quadraticCurveTo(x, y, x + r, y);
this.ctx.closePath();
this.ctx.fill();
break;
case 'hexagon':
this.drawHexagon(center, center, radius);
break;
}
}
/**
* Draw hexagon shape
*/
private drawHexagon(x: number, y: number, radius: number): void {
const sides = 6;
const angle = (2 * Math.PI) / sides;
this.ctx.beginPath();
for (let i = 0; i < sides; i++) {
const px = x + radius * Math.cos(angle * i - Math.PI / 2);
const py = y + radius * Math.sin(angle * i - Math.PI / 2);
if (i === 0) {
this.ctx.moveTo(px, py);
} else {
this.ctx.lineTo(px, py);
}
}
this.ctx.closePath();
this.ctx.fill();
}
/**
* Draw text overlay
*/
private drawText(): void {
const { text, fontSize = 64, fontFamily = 'Arial' } = this.config;
const center = this.config.size / 2;
this.ctx.fillStyle = '#FFFFFF';
this.ctx.font = `bold ${fontSize}px ${fontFamily}`;
this.ctx.textAlign = 'center';
this.ctx.textBaseline = 'middle';
this.ctx.fillText(text!, center, center);
}
/**
* Draw icon overlay (SVG/PNG)
*/
private async drawIconOverlay(): Promise<void> {
// Implementation would load SVG/PNG and composite onto canvas
// Requires additional libraries like sharp or svg2img
console.log('Icon overlay not yet implemented');
}
}
// Usage example
async function generateAppIcons() {
const configs: IconConfig[] = [
{
size: 1024,
backgroundColor: '#0A0E27',
foregroundColor: '#D4AF37',
shape: 'rounded-square',
text: 'AI',
fontSize: 400,
borderRadius: 150,
gradientColors: ['#0A0E27', '#1A1E37']
},
{
size: 512,
backgroundColor: '#667EEA',
foregroundColor: '#FFFFFF',
shape: 'circle',
text: 'FIT',
fontSize: 180
},
{
size: 256,
backgroundColor: '#48BB78',
foregroundColor: '#FFFFFF',
shape: 'hexagon',
text: 'RE',
fontSize: 90
}
];
for (const config of configs) {
const generator = new IconGenerator(config);
const filename = `icon-${config.size}x${config.size}.png`;
await generator.generate(path.join(__dirname, 'output', filename));
}
}
generateAppIcons();
Accessibility Checker
Ensure your icons meet WCAG AA contrast requirements:
// accessibility-checker.ts - Icon contrast validation
interface ColorRGB {
r: number;
g: number;
b: number;
}
class AccessibilityChecker {
/**
* Calculate relative luminance (WCAG formula)
*/
private static getRelativeLuminance(rgb: ColorRGB): number {
const { r, g, b } = rgb;
const [rs, gs, bs] = [r, g, b].map(val => {
const normalized = val / 255;
return normalized <= 0.03928
? normalized / 12.92
: Math.pow((normalized + 0.055) / 1.055, 2.4);
});
return 0.2126 * rs + 0.7152 * gs + 0.0722 * bs;
}
/**
* Calculate contrast ratio between two colors
*/
static getContrastRatio(color1: string, color2: string): number {
const rgb1 = this.hexToRgb(color1);
const rgb2 = this.hexToRgb(color2);
const l1 = this.getRelativeLuminance(rgb1);
const l2 = this.getRelativeLuminance(rgb2);
const lighter = Math.max(l1, l2);
const darker = Math.min(l1, l2);
return (lighter + 0.05) / (darker + 0.05);
}
/**
* Check if contrast meets WCAG AA (4.5:1 for normal text)
*/
static meetsWCAG_AA(color1: string, color2: string): boolean {
const ratio = this.getContrastRatio(color1, color2);
return ratio >= 4.5;
}
/**
* Check if contrast meets WCAG AAA (7:1 for normal text)
*/
static meetsWCAG_AAA(color1: string, color2: string): boolean {
const ratio = this.getContrastRatio(color1, color2);
return ratio >= 7.0;
}
/**
* Convert hex color to RGB
*/
private static hexToRgb(hex: string): ColorRGB {
const result = /^#?([a-f\d]{2})([a-f\d]{2})([a-f\d]{2})$/i.exec(hex);
if (!result) throw new Error(`Invalid hex color: ${hex}`);
return {
r: parseInt(result[1], 16),
g: parseInt(result[2], 16),
b: parseInt(result[3], 16)
};
}
/**
* Generate accessible color palette
*/
static generateAccessiblePalette(baseColor: string): {
background: string;
foreground: string;
contrastRatio: number;
} {
const baseRgb = this.hexToRgb(baseColor);
const baseLuminance = this.getRelativeLuminance(baseRgb);
// Determine if base is light or dark
const isDark = baseLuminance < 0.5;
// Generate contrasting color
const foreground = isDark ? '#FFFFFF' : '#000000';
const contrastRatio = this.getContrastRatio(baseColor, foreground);
return {
background: baseColor,
foreground,
contrastRatio
};
}
}
// Usage
const palette = AccessibilityChecker.generateAccessiblePalette('#0A0E27');
console.log(`Contrast ratio: ${palette.contrastRatio.toFixed(2)}:1`);
console.log(`Meets WCAG AA: ${AccessibilityChecker.meetsWCAG_AA('#0A0E27', '#D4AF37')}`);
A/B Test Framework
Test multiple icon variations to optimize click-through rates:
// icon-ab-test.ts - Icon variant performance testing
interface IconVariant {
id: string;
name: string;
iconUrl: string;
impressions: number;
clicks: number;
installations: number;
}
class IconABTest {
private variants: Map<string, IconVariant> = new Map();
/**
* Add test variant
*/
addVariant(variant: IconVariant): void {
this.variants.set(variant.id, variant);
}
/**
* Record impression
*/
recordImpression(variantId: string): void {
const variant = this.variants.get(variantId);
if (variant) {
variant.impressions++;
}
}
/**
* Record click
*/
recordClick(variantId: string): void {
const variant = this.variants.get(variantId);
if (variant) {
variant.clicks++;
}
}
/**
* Record installation
*/
recordInstallation(variantId: string): void {
const variant = this.variants.get(variantId);
if (variant) {
variant.installations++;
}
}
/**
* Calculate click-through rate
*/
getCTR(variantId: string): number {
const variant = this.variants.get(variantId);
if (!variant || variant.impressions === 0) return 0;
return (variant.clicks / variant.impressions) * 100;
}
/**
* Calculate installation rate
*/
getInstallRate(variantId: string): number {
const variant = this.variants.get(variantId);
if (!variant || variant.clicks === 0) return 0;
return (variant.installations / variant.clicks) * 100;
}
/**
* Get winning variant (statistical significance)
*/
getWinner(): IconVariant | null {
const variants = Array.from(this.variants.values());
if (variants.length < 2) return null;
// Sort by conversion rate (installations / impressions)
const sorted = variants.sort((a, b) => {
const conversionA = a.impressions > 0 ? a.installations / a.impressions : 0;
const conversionB = b.impressions > 0 ? b.installations / b.impressions : 0;
return conversionB - conversionA;
});
return sorted[0];
}
/**
* Generate report
*/
generateReport(): string {
const variants = Array.from(this.variants.values());
let report = 'Icon A/B Test Report\n';
report += '='.repeat(50) + '\n\n';
variants.forEach(variant => {
report += `Variant: ${variant.name} (${variant.id})\n`;
report += ` Impressions: ${variant.impressions}\n`;
report += ` Clicks: ${variant.clicks}\n`;
report += ` Installations: ${variant.installations}\n`;
report += ` CTR: ${this.getCTR(variant.id).toFixed(2)}%\n`;
report += ` Install Rate: ${this.getInstallRate(variant.id).toFixed(2)}%\n\n`;
});
const winner = this.getWinner();
if (winner) {
report += `🏆 Winner: ${winner.name}\n`;
}
return report;
}
}
// Usage
const test = new IconABTest();
test.addVariant({
id: 'v1',
name: 'Blue Circle',
iconUrl: '/icons/v1.png',
impressions: 0,
clicks: 0,
installations: 0
});
test.addVariant({
id: 'v2',
name: 'Gold Rounded Square',
iconUrl: '/icons/v2.png',
impressions: 0,
clicks: 0,
installations: 0
});
// Simulate test data
for (let i = 0; i < 1000; i++) {
const variantId = Math.random() > 0.5 ? 'v1' : 'v2';
test.recordImpression(variantId);
if (Math.random() > 0.7) test.recordClick(variantId);
if (Math.random() > 0.9) test.recordInstallation(variantId);
}
console.log(test.generateReport());
Name and Description Optimization
Your app's name and description are critical for discoverability and conversion. This section provides automated tools for optimization.
Name Availability Checker
Verify your app name is unique and compliant with OpenAI guidelines:
// name-checker.ts - App name validation and availability
import axios from 'axios';
interface NameCheckResult {
name: string;
available: boolean;
similarApps: string[];
complianceIssues: string[];
seoScore: number;
suggestions: string[];
}
class AppNameChecker {
private readonly OPENAI_STORE_API = 'https://chatgpt.com/api/apps/search';
private readonly MAX_LENGTH = 30;
private readonly MIN_LENGTH = 3;
/**
* Check name availability and compliance
*/
async checkName(name: string): Promise<NameCheckResult> {
const result: NameCheckResult = {
name,
available: true,
similarApps: [],
complianceIssues: [],
seoScore: 0,
suggestions: []
};
// Length validation
if (name.length < this.MIN_LENGTH) {
result.complianceIssues.push(`Name too short (min ${this.MIN_LENGTH} chars)`);
}
if (name.length > this.MAX_LENGTH) {
result.complianceIssues.push(`Name too long (max ${this.MAX_LENGTH} chars)`);
}
// Character validation (alphanumeric + spaces/hyphens only)
if (!/^[a-zA-Z0-9\s\-]+$/.test(name)) {
result.complianceIssues.push('Name contains invalid characters (use only letters, numbers, spaces, hyphens)');
}
// Prohibited terms
const prohibitedTerms = ['openai', 'chatgpt', 'gpt-4', 'official'];
const lowerName = name.toLowerCase();
prohibitedTerms.forEach(term => {
if (lowerName.includes(term)) {
result.complianceIssues.push(`Prohibited term: "${term}"`);
}
});
// Check availability (simulated - real implementation would query OpenAI API)
const similarApps = await this.findSimilarApps(name);
result.similarApps = similarApps;
result.available = similarApps.length === 0;
// Calculate SEO score
result.seoScore = this.calculateSEOScore(name);
// Generate suggestions
if (!result.available || result.complianceIssues.length > 0) {
result.suggestions = this.generateSuggestions(name);
}
return result;
}
/**
* Find similar apps in ChatGPT Store
*/
private async findSimilarApps(name: string): Promise<string[]> {
// Simulated implementation - real version would query OpenAI API
const mockSimilarApps: Record<string, string[]> = {
'fitness tracker': ['FitTrack Pro', 'Fitness Logger', 'Workout Tracker'],
'recipe finder': ['Recipe Search', 'Meal Finder', 'Recipe Assistant'],
'study buddy': ['Study Helper', 'Learning Companion', 'Study Assistant']
};
const lowerName = name.toLowerCase();
for (const [key, apps] of Object.entries(mockSimilarApps)) {
if (lowerName.includes(key)) {
return apps;
}
}
return [];
}
/**
* Calculate SEO score (0-100)
*/
private calculateSEOScore(name: string): number {
let score = 100;
// Penalty for length
if (name.length > 20) score -= 10;
if (name.length < 5) score -= 15;
// Bonus for keyword inclusion
const keywords = ['ai', 'assistant', 'helper', 'pro', 'smart', 'easy'];
const lowerName = name.toLowerCase();
const keywordCount = keywords.filter(kw => lowerName.includes(kw)).length;
score += keywordCount * 5;
// Penalty for special characters
if (!/^[a-zA-Z0-9\s]+$/.test(name)) score -= 5;
// Penalty for all caps
if (name === name.toUpperCase()) score -= 10;
return Math.max(0, Math.min(100, score));
}
/**
* Generate alternative name suggestions
*/
private generateSuggestions(name: string): string[] {
const suggestions: string[] = [];
const words = name.split(/\s+/);
// Add descriptive suffixes
['Pro', 'AI', 'Assistant', 'Helper', 'Smart', 'Easy'].forEach(suffix => {
suggestions.push(`${name} ${suffix}`);
});
// Rearrange words
if (words.length > 1) {
suggestions.push(words.reverse().join(' '));
}
// Replace spaces with hyphens
suggestions.push(name.replace(/\s+/g, '-'));
return suggestions.slice(0, 5);
}
}
// Usage
async function validateAppName(name: string) {
const checker = new AppNameChecker();
const result = await checker.checkName(name);
console.log(`\nName: "${result.name}"`);
console.log(`Available: ${result.available ? '✅' : '❌'}`);
console.log(`SEO Score: ${result.seoScore}/100`);
if (result.complianceIssues.length > 0) {
console.log('\n⚠️ Compliance Issues:');
result.complianceIssues.forEach(issue => console.log(` - ${issue}`));
}
if (result.similarApps.length > 0) {
console.log('\n🔍 Similar Apps Found:');
result.similarApps.forEach(app => console.log(` - ${app}`));
}
if (result.suggestions.length > 0) {
console.log('\n💡 Suggestions:');
result.suggestions.forEach(suggestion => console.log(` - ${suggestion}`));
}
}
validateAppName('Fitness Tracker AI');
Description Optimizer
Use OpenAI API to optimize app descriptions for SEO and conversion:
// description-optimizer.ts - AI-powered description optimization
import OpenAI from 'openai';
interface OptimizationResult {
original: string;
optimized: string;
improvements: string[];
seoScore: number;
readabilityScore: number;
keywordDensity: Record<string, number>;
}
class DescriptionOptimizer {
private openai: OpenAI;
constructor(apiKey: string) {
this.openai = new OpenAI({ apiKey });
}
/**
* Optimize app description using GPT-4
*/
async optimize(description: string, targetKeywords: string[]): Promise<OptimizationResult> {
const prompt = `You are an expert App Store Optimization (ASO) specialist. Optimize this ChatGPT app description for maximum discoverability and conversion.
Original Description:
${description}
Target Keywords: ${targetKeywords.join(', ')}
Requirements:
1. Maximum 160 characters
2. Include 2-3 target keywords naturally
3. Lead with strongest benefit (not features)
4. End with clear call-to-action
5. Use power words (free, instant, easy, powerful)
6. Avoid jargon and filler words
Return ONLY the optimized description (no explanations).`;
const completion = await this.openai.chat.completions.create({
model: 'gpt-4',
messages: [{ role: 'user', content: prompt }],
temperature: 0.7,
max_tokens: 100
});
const optimized = completion.choices[0].message.content?.trim() || description;
return {
original: description,
optimized,
improvements: this.identifyImprovements(description, optimized),
seoScore: this.calculateSEOScore(optimized, targetKeywords),
readabilityScore: this.calculateReadability(optimized),
keywordDensity: this.calculateKeywordDensity(optimized, targetKeywords)
};
}
/**
* Identify improvements made
*/
private identifyImprovements(original: string, optimized: string): string[] {
const improvements: string[] = [];
if (optimized.length < original.length) {
improvements.push('Reduced length for clarity');
}
if (optimized.length <= 160) {
improvements.push('Meets 160-character limit');
}
const originalWords = original.toLowerCase().split(/\s+/);
const optimizedWords = optimized.toLowerCase().split(/\s+/);
const powerWords = ['free', 'instant', 'easy', 'powerful', 'smart', 'fast'];
const addedPowerWords = powerWords.filter(
pw => !originalWords.includes(pw) && optimizedWords.includes(pw)
);
if (addedPowerWords.length > 0) {
improvements.push(`Added power words: ${addedPowerWords.join(', ')}`);
}
return improvements;
}
/**
* Calculate SEO score
*/
private calculateSEOScore(description: string, keywords: string[]): number {
let score = 100;
// Length penalty
if (description.length > 160) score -= 20;
if (description.length < 80) score -= 10;
// Keyword inclusion
const lowerDesc = description.toLowerCase();
const includedKeywords = keywords.filter(kw => lowerDesc.includes(kw.toLowerCase()));
score += includedKeywords.length * 10;
// Penalty for keyword stuffing
keywords.forEach(kw => {
const regex = new RegExp(kw, 'gi');
const count = (description.match(regex) || []).length;
if (count > 2) score -= 15;
});
return Math.max(0, Math.min(100, score));
}
/**
* Calculate readability (Flesch-Kincaid grade level)
*/
private calculateReadability(text: string): number {
const sentences = text.split(/[.!?]+/).filter(s => s.trim().length > 0);
const words = text.split(/\s+/);
const syllables = words.reduce((sum, word) => sum + this.countSyllables(word), 0);
const avgWordsPerSentence = words.length / sentences.length;
const avgSyllablesPerWord = syllables / words.length;
const score = 206.835 - 1.015 * avgWordsPerSentence - 84.6 * avgSyllablesPerWord;
return Math.round(score);
}
/**
* Count syllables in word (simple heuristic)
*/
private countSyllables(word: string): number {
word = word.toLowerCase();
if (word.length <= 3) return 1;
const vowels = 'aeiouy';
let count = 0;
let previousWasVowel = false;
for (let i = 0; i < word.length; i++) {
const isVowel = vowels.includes(word[i]);
if (isVowel && !previousWasVowel) count++;
previousWasVowel = isVowel;
}
if (word.endsWith('e')) count--;
return Math.max(1, count);
}
/**
* Calculate keyword density
*/
private calculateKeywordDensity(text: string, keywords: string[]): Record<string, number> {
const density: Record<string, number> = {};
const totalWords = text.split(/\s+/).length;
keywords.forEach(keyword => {
const regex = new RegExp(keyword, 'gi');
const count = (text.match(regex) || []).length;
density[keyword] = (count / totalWords) * 100;
});
return density;
}
}
// Usage
async function optimizeDescription() {
const optimizer = new DescriptionOptimizer(process.env.OPENAI_API_KEY!);
const result = await optimizer.optimize(
'This app helps fitness studios manage their classes and bookings using ChatGPT.',
['fitness', 'booking', 'chatgpt', 'ai']
);
console.log('Original:', result.original);
console.log('\nOptimized:', result.optimized);
console.log(`\nSEO Score: ${result.seoScore}/100`);
console.log(`Readability: ${result.readabilityScore}`);
console.log('\nKeyword Density:');
Object.entries(result.keywordDensity).forEach(([kw, density]) => {
console.log(` ${kw}: ${density.toFixed(2)}%`);
});
}
Keyword Density Analyzer
Analyze and optimize keyword usage in your app metadata:
// keyword-analyzer.ts - Keyword density and optimization analysis
interface KeywordAnalysis {
keyword: string;
count: number;
density: number; // Percentage
positions: number[]; // Word positions
optimal: boolean;
recommendation: string;
}
class KeywordAnalyzer {
private readonly OPTIMAL_DENSITY_MIN = 1.5; // 1.5%
private readonly OPTIMAL_DENSITY_MAX = 3.5; // 3.5%
/**
* Analyze keyword usage in text
*/
analyzeKeywords(text: string, keywords: string[]): KeywordAnalysis[] {
const words = text.toLowerCase().split(/\s+/);
const totalWords = words.length;
return keywords.map(keyword => {
const keywordLower = keyword.toLowerCase();
const positions: number[] = [];
let count = 0;
words.forEach((word, index) => {
if (word.includes(keywordLower)) {
count++;
positions.push(index);
}
});
const density = (count / totalWords) * 100;
const optimal = density >= this.OPTIMAL_DENSITY_MIN && density <= this.OPTIMAL_DENSITY_MAX;
let recommendation = '';
if (density < this.OPTIMAL_DENSITY_MIN) {
recommendation = `Increase usage (currently ${density.toFixed(2)}%, target ${this.OPTIMAL_DENSITY_MIN}%-${this.OPTIMAL_DENSITY_MAX}%)`;
} else if (density > this.OPTIMAL_DENSITY_MAX) {
recommendation = `Reduce usage to avoid keyword stuffing (currently ${density.toFixed(2)}%, target ${this.OPTIMAL_DENSITY_MIN}%-${this.OPTIMAL_DENSITY_MAX}%)`;
} else {
recommendation = 'Optimal density';
}
return {
keyword,
count,
density,
positions,
optimal,
recommendation
};
});
}
/**
* Generate optimized text with target keyword density
*/
optimizeKeywordDensity(
text: string,
keyword: string,
targetDensity: number = 2.5
): string {
const words = text.split(/\s+/);
const totalWords = words.length;
const currentCount = words.filter(w => w.toLowerCase().includes(keyword.toLowerCase())).length;
const targetCount = Math.round((targetDensity / 100) * totalWords);
if (currentCount < targetCount) {
// Need to add keyword instances
const addCount = targetCount - currentCount;
console.log(`💡 Add "${keyword}" ${addCount} more times`);
} else if (currentCount > targetCount) {
// Need to remove keyword instances
const removeCount = currentCount - targetCount;
console.log(`⚠️ Remove "${keyword}" ${removeCount} times to avoid stuffing`);
}
return text; // Actual replacement would require NLP
}
}
// Usage
const analyzer = new KeywordAnalyzer();
const text = 'Build ChatGPT apps without code. Our ChatGPT app builder makes it easy to create AI-powered ChatGPT applications for your business.';
const keywords = ['chatgpt', 'app', 'builder', 'ai'];
const analysis = analyzer.analyzeKeywords(text, keywords);
console.log('Keyword Analysis Report\n' + '='.repeat(50));
analysis.forEach(kw => {
console.log(`\n${kw.keyword.toUpperCase()}`);
console.log(` Count: ${kw.count}`);
console.log(` Density: ${kw.density.toFixed(2)}%`);
console.log(` Status: ${kw.optimal ? '✅' : '⚠️'} ${kw.recommendation}`);
});
Visual Assets Creation
Professional screenshots, preview videos, and color palettes significantly impact conversion rates. Automate asset creation with these production tools.
Screenshot Template Generator
Generate consistent, branded screenshots using Puppeteer:
// screenshot-generator.ts - Automated screenshot creation with Puppeteer
import puppeteer, { Browser, Page } from 'puppeteer';
import path from 'path';
interface ScreenshotConfig {
url: string;
outputDir: string;
viewport: { width: number; height: number };
annotations?: {
text: string;
position: { x: number; y: number };
style?: string;
}[];
watermark?: {
text: string;
position: 'top-left' | 'top-right' | 'bottom-left' | 'bottom-right';
};
}
class ScreenshotGenerator {
private browser: Browser | null = null;
/**
* Initialize browser
*/
async init(): Promise<void> {
this.browser = await puppeteer.launch({
headless: true,
args: ['--no-sandbox', '--disable-setuid-sandbox']
});
}
/**
* Generate annotated screenshot
*/
async generateScreenshot(config: ScreenshotConfig): Promise<string> {
if (!this.browser) throw new Error('Browser not initialized');
const page = await this.browser.newPage();
await page.setViewport(config.viewport);
await page.goto(config.url, { waitUntil: 'networkidle2' });
// Add annotations
if (config.annotations) {
await this.addAnnotations(page, config.annotations);
}
// Add watermark
if (config.watermark) {
await this.addWatermark(page, config.watermark);
}
// Capture screenshot
const filename = `screenshot-${Date.now()}.png`;
const filepath = path.join(config.outputDir, filename);
await page.screenshot({ path: filepath, fullPage: false });
await page.close();
return filepath;
}
/**
* Add text annotations to page
*/
private async addAnnotations(
page: Page,
annotations: NonNullable<ScreenshotConfig['annotations']>
): Promise<void> {
for (const annotation of annotations) {
await page.evaluate((ann) => {
const div = document.createElement('div');
div.textContent = ann.text;
div.style.position = 'absolute';
div.style.left = `${ann.position.x}px`;
div.style.top = `${ann.position.y}px`;
div.style.cssText += ann.style || 'font-size: 24px; font-weight: bold; color: #D4AF37; background: rgba(0,0,0,0.7); padding: 10px; border-radius: 5px;';
document.body.appendChild(div);
}, annotation);
}
}
/**
* Add watermark to page
*/
private async addWatermark(
page: Page,
watermark: NonNullable<ScreenshotConfig['watermark']>
): Promise<void> {
await page.evaluate((wm) => {
const div = document.createElement('div');
div.textContent = wm.text;
div.style.position = 'fixed';
div.style.fontSize = '14px';
div.style.color = 'rgba(255,255,255,0.5)';
div.style.padding = '5px 10px';
div.style.zIndex = '10000';
switch (wm.position) {
case 'top-left':
div.style.top = '10px';
div.style.left = '10px';
break;
case 'top-right':
div.style.top = '10px';
div.style.right = '10px';
break;
case 'bottom-left':
div.style.bottom = '10px';
div.style.left = '10px';
break;
case 'bottom-right':
div.style.bottom = '10px';
div.style.right = '10px';
break;
}
document.body.appendChild(div);
}, watermark);
}
/**
* Close browser
*/
async close(): Promise<void> {
if (this.browser) {
await this.browser.close();
this.browser = null;
}
}
}
// Usage
async function generateAppScreenshots() {
const generator = new ScreenshotGenerator();
await generator.init();
const screenshots = await generator.generateScreenshot({
url: 'https://makeaihq.com/dashboard',
outputDir: './screenshots',
viewport: { width: 1280, height: 720 },
annotations: [
{
text: 'Build ChatGPT Apps in Minutes',
position: { x: 50, y: 50 },
style: 'font-size: 32px; font-weight: bold; color: #D4AF37;'
}
],
watermark: {
text: 'MakeAIHQ.com',
position: 'bottom-right'
}
});
console.log(`✅ Screenshot saved: ${screenshots}`);
await generator.close();
}
Video Preview Creator
Generate app preview videos using FFmpeg:
// video-creator.ts - App preview video generation with FFmpeg
import { spawn } from 'child_process';
import path from 'path';
import fs from 'fs';
interface VideoConfig {
images: string[]; // Screenshot paths
duration: number; // Seconds per image
outputPath: string;
transition?: 'fade' | 'slide' | 'none';
audio?: string; // Background music path
watermark?: {
text: string;
position: string;
};
}
class VideoCreator {
/**
* Create preview video from screenshots
*/
async createVideo(config: VideoConfig): Promise<string> {
return new Promise((resolve, reject) => {
const args = this.buildFFmpegArgs(config);
const ffmpeg = spawn('ffmpeg', args);
ffmpeg.stderr.on('data', (data) => {
console.log(`FFmpeg: ${data}`);
});
ffmpeg.on('close', (code) => {
if (code === 0) {
console.log(`✅ Video created: ${config.outputPath}`);
resolve(config.outputPath);
} else {
reject(new Error(`FFmpeg exited with code ${code}`));
}
});
});
}
/**
* Build FFmpeg arguments
*/
private buildFFmpegArgs(config: VideoConfig): string[] {
const args: string[] = [];
// Input images
config.images.forEach(img => {
args.push('-loop', '1', '-t', config.duration.toString(), '-i', img);
});
// Add audio if specified
if (config.audio) {
args.push('-i', config.audio);
}
// Filter complex for transitions
const filters = this.buildFilterComplex(config);
if (filters) {
args.push('-filter_complex', filters);
}
// Output settings
args.push(
'-c:v', 'libx264',
'-pix_fmt', 'yuv420p',
'-preset', 'medium',
'-crf', '23',
'-r', '30',
'-y', // Overwrite output
config.outputPath
);
return args;
}
/**
* Build filter complex string for transitions
*/
private buildFilterComplex(config: VideoConfig): string | null {
if (config.transition === 'none' || !config.transition) {
return null;
}
const filters: string[] = [];
const imageCount = config.images.length;
for (let i = 0; i < imageCount; i++) {
filters.push(`[${i}:v]scale=1280:720,setsar=1[v${i}]`);
}
// Add fade transitions
if (config.transition === 'fade') {
for (let i = 0; i < imageCount - 1; i++) {
filters.push(
`[v${i}][v${i + 1}]xfade=transition=fade:duration=0.5:offset=${i * config.duration}[vout${i}]`
);
}
}
return filters.join(';');
}
}
// Usage
async function createAppPreview() {
const creator = new VideoCreator();
await creator.createVideo({
images: [
'./screenshots/screen1.png',
'./screenshots/screen2.png',
'./screenshots/screen3.png'
],
duration: 3,
outputPath: './output/app-preview.mp4',
transition: 'fade',
watermark: {
text: 'MakeAIHQ.com',
position: 'bottom-right'
}
});
}
Color Palette Extractor
Extract dominant colors from your app screenshots using Sharp:
// color-extractor.ts - Extract dominant colors from images
import sharp from 'sharp';
interface ColorPalette {
dominant: string;
colors: Array<{
hex: string;
rgb: { r: number; g: number; b: number };
percentage: number;
}>;
}
class ColorExtractor {
/**
* Extract color palette from image
*/
async extractPalette(imagePath: string, colorCount: number = 5): Promise<ColorPalette> {
const { data, info } = await sharp(imagePath)
.resize(100, 100) // Reduce size for faster processing
.raw()
.toBuffer({ resolveWithObject: true });
const pixels = this.parsePixels(data, info.channels);
const palette = this.quantizeColors(pixels, colorCount);
return palette;
}
/**
* Parse pixel data into RGB values
*/
private parsePixels(data: Buffer, channels: number): Array<{ r: number; g: number; b: number }> {
const pixels: Array<{ r: number; g: number; b: number }> = [];
for (let i = 0; i < data.length; i += channels) {
pixels.push({
r: data[i],
g: data[i + 1],
b: data[i + 2]
});
}
return pixels;
}
/**
* Quantize colors using k-means clustering
*/
private quantizeColors(
pixels: Array<{ r: number; g: number; b: number }>,
k: number
): ColorPalette {
// Simple color quantization (production would use proper k-means)
const colorMap = new Map<string, number>();
pixels.forEach(pixel => {
const hex = this.rgbToHex(pixel);
colorMap.set(hex, (colorMap.get(hex) || 0) + 1);
});
const sorted = Array.from(colorMap.entries())
.sort((a, b) => b[1] - a[1])
.slice(0, k);
const total = pixels.length;
const colors = sorted.map(([hex, count]) => ({
hex,
rgb: this.hexToRgb(hex),
percentage: (count / total) * 100
}));
return {
dominant: colors[0].hex,
colors
};
}
/**
* Convert RGB to hex
*/
private rgbToHex(rgb: { r: number; g: number; b: number }): string {
return '#' + [rgb.r, rgb.g, rgb.b]
.map(x => x.toString(16).padStart(2, '0'))
.join('');
}
/**
* Convert hex to RGB
*/
private hexToRgb(hex: string): { r: number; g: number; b: number } {
const result = /^#?([a-f\d]{2})([a-f\d]{2})([a-f\d]{2})$/i.exec(hex);
if (!result) throw new Error(`Invalid hex: ${hex}`);
return {
r: parseInt(result[1], 16),
g: parseInt(result[2], 16),
b: parseInt(result[3], 16)
};
}
}
// Usage
async function extractAppColors() {
const extractor = new ColorExtractor();
const palette = await extractor.extractPalette('./screenshot.png', 5);
console.log('\n🎨 Color Palette:');
console.log(`Dominant: ${palette.dominant}`);
palette.colors.forEach((color, i) => {
console.log(`${i + 1}. ${color.hex} (${color.percentage.toFixed(2)}%)`);
});
}
Brand Consistency Enforcement
Maintain brand consistency across all app touchpoints with automated validation tools.
Brand Audit Tool
Comprehensive brand compliance checker:
// brand-audit.ts - Automated brand consistency validation
interface BrandGuidelines {
name: string;
colors: {
primary: string;
secondary: string;
accent?: string;
};
typography: {
primaryFont: string;
secondaryFont?: string;
};
tone: 'professional' | 'casual' | 'friendly' | 'authoritative';
prohibitedTerms: string[];
}
interface AuditResult {
passed: boolean;
score: number;
issues: Array<{
severity: 'critical' | 'warning' | 'info';
category: string;
message: string;
}>;
}
class BrandAuditor {
constructor(private guidelines: BrandGuidelines) {}
/**
* Audit app metadata for brand compliance
*/
audit(metadata: {
name: string;
description: string;
iconColors: string[];
screenshots: string[];
}): AuditResult {
const issues: AuditResult['issues'] = [];
let score = 100;
// Check name compliance
if (!metadata.name.includes(this.guidelines.name)) {
issues.push({
severity: 'warning',
category: 'Name',
message: `App name doesn't include brand name "${this.guidelines.name}"`
});
score -= 10;
}
// Check prohibited terms
const descLower = metadata.description.toLowerCase();
this.guidelines.prohibitedTerms.forEach(term => {
if (descLower.includes(term.toLowerCase())) {
issues.push({
severity: 'critical',
category: 'Description',
message: `Prohibited term found: "${term}"`
});
score -= 25;
}
});
// Check color consistency
const brandColors = Object.values(this.guidelines.colors).filter(Boolean);
const usesValidColor = metadata.iconColors.some(color =>
brandColors.includes(color)
);
if (!usesValidColor) {
issues.push({
severity: 'warning',
category: 'Colors',
message: 'Icon uses non-brand colors'
});
score -= 15;
}
// Check tone compliance
const toneScore = this.analyzeTone(metadata.description);
if (toneScore < 70) {
issues.push({
severity: 'info',
category: 'Tone',
message: `Description tone doesn't match "${this.guidelines.tone}" (score: ${toneScore}/100)`
});
score -= 5;
}
return {
passed: score >= 70,
score: Math.max(0, score),
issues
};
}
/**
* Analyze text tone (simplified)
*/
private analyzeTone(text: string): number {
const toneIndicators: Record<BrandGuidelines['tone'], string[]> = {
professional: ['streamline', 'optimize', 'efficiency', 'enterprise'],
casual: ['hey', 'awesome', 'cool', 'fun'],
friendly: ['help', 'easy', 'simple', 'welcome'],
authoritative: ['proven', 'expert', 'leading', 'trusted']
};
const targetWords = toneIndicators[this.guidelines.tone];
const textLower = text.toLowerCase();
const matches = targetWords.filter(word => textLower.includes(word)).length;
return (matches / targetWords.length) * 100;
}
}
// Usage
const guidelines: BrandGuidelines = {
name: 'MakeAIHQ',
colors: {
primary: '#0A0E27',
secondary: '#D4AF37'
},
typography: {
primaryFont: 'Inter'
},
tone: 'professional',
prohibitedTerms: ['cheap', 'free forever', 'unlimited']
};
const auditor = new BrandAuditor(guidelines);
const result = auditor.audit({
name: 'MakeAIHQ Fitness Tracker',
description: 'Streamline your fitness studio with AI-powered booking automation.',
iconColors: ['#0A0E27', '#D4AF37'],
screenshots: []
});
console.log(`\n🔍 Brand Audit Results`);
console.log(`Score: ${result.score}/100`);
console.log(`Status: ${result.passed ? '✅ PASSED' : '❌ FAILED'}\n`);
if (result.issues.length > 0) {
console.log('Issues Found:');
result.issues.forEach(issue => {
const icon = issue.severity === 'critical' ? '🔴' : issue.severity === 'warning' ? '🟡' : '🔵';
console.log(`${icon} [${issue.category}] ${issue.message}`);
});
}
Asset Validator
Validate visual assets meet technical requirements:
// asset-validator.ts - Visual asset technical validation
import sharp from 'sharp';
import fs from 'fs';
interface ValidationResult {
valid: boolean;
errors: string[];
warnings: string[];
metadata: {
width: number;
height: number;
format: string;
size: number;
};
}
class AssetValidator {
/**
* Validate icon meets requirements
*/
async validateIcon(iconPath: string): Promise<ValidationResult> {
const result: ValidationResult = {
valid: true,
errors: [],
warnings: [],
metadata: { width: 0, height: 0, format: '', size: 0 }
};
try {
const metadata = await sharp(iconPath).metadata();
const stats = fs.statSync(iconPath);
result.metadata = {
width: metadata.width || 0,
height: metadata.height || 0,
format: metadata.format || '',
size: stats.size
};
// Size requirements
if (metadata.width !== 1024 || metadata.height !== 1024) {
result.errors.push('Icon must be exactly 1024x1024 pixels');
result.valid = false;
}
// Format requirements
if (metadata.format !== 'png') {
result.errors.push('Icon must be PNG format');
result.valid = false;
}
// File size warning
if (stats.size > 500 * 1024) { // 500KB
result.warnings.push(`Icon file size is ${(stats.size / 1024).toFixed(0)}KB (recommend < 500KB)`);
}
// Alpha channel check
if (!metadata.hasAlpha) {
result.warnings.push('Icon should have transparent background (alpha channel)');
}
} catch (error) {
result.errors.push(`Failed to read icon: ${error}`);
result.valid = false;
}
return result;
}
/**
* Validate screenshot meets requirements
*/
async validateScreenshot(screenshotPath: string): Promise<ValidationResult> {
const result: ValidationResult = {
valid: true,
errors: [],
warnings: [],
metadata: { width: 0, height: 0, format: '', size: 0 }
};
try {
const metadata = await sharp(screenshotPath).metadata();
const stats = fs.statSync(screenshotPath);
result.metadata = {
width: metadata.width || 0,
height: metadata.height || 0,
format: metadata.format || '',
size: stats.size
};
// Aspect ratio check (16:9 recommended)
const aspectRatio = (metadata.width || 0) / (metadata.height || 1);
if (Math.abs(aspectRatio - 16/9) > 0.1) {
result.warnings.push(`Screenshot aspect ratio is ${aspectRatio.toFixed(2)}:1 (recommend 16:9)`);
}
// Minimum resolution
if ((metadata.width || 0) < 1280 || (metadata.height || 0) < 720) {
result.errors.push('Screenshot must be at least 1280x720 pixels');
result.valid = false;
}
// File size
if (stats.size > 2 * 1024 * 1024) { // 2MB
result.warnings.push(`Screenshot is ${(stats.size / (1024 * 1024)).toFixed(2)}MB (recommend < 2MB)`);
}
} catch (error) {
result.errors.push(`Failed to read screenshot: ${error}`);
result.valid = false;
}
return result;
}
}
// Usage
async function validateAssets() {
const validator = new AssetValidator();
const iconResult = await validator.validateIcon('./icon-1024.png');
console.log('\n📊 Icon Validation:');
console.log(`Status: ${iconResult.valid ? '✅ Valid' : '❌ Invalid'}`);
console.log(`Size: ${iconResult.metadata.width}x${iconResult.metadata.height}`);
if (iconResult.errors.length > 0) {
iconResult.errors.forEach(err => console.log(` 🔴 ${err}`));
}
if (iconResult.warnings.length > 0) {
iconResult.warnings.forEach(warn => console.log(` 🟡 ${warn}`));
}
}
Production Deployment Checklist
Before submitting your ChatGPT app to OpenAI, verify all branding elements pass this checklist:
Icon Assets:
- 1024x1024px PNG with transparent background
- Passes WCAG AA contrast ratio (4.5:1 minimum)
- A/B tested with at least 1,000 impressions
- File size under 500KB
- Recognizable at 40x40px thumbnail size
App Name:
- 3-30 characters (optimal: 12-18)
- Includes primary keyword
- No prohibited terms (OpenAI, ChatGPT, GPT-4, Official)
- Unique in ChatGPT App Store
- SEO score 70+/100
Description:
- 80-160 characters
- Leads with benefit (not features)
- Includes 2-3 target keywords (1.5-3.5% density)
- Ends with clear call-to-action
- Readability score 60+ (Flesch-Kincaid)
Screenshots:
- 3-5 screenshots (1280x720 minimum, 16:9 aspect ratio)
- Branded annotations with consistent typography
- Watermark in bottom-right corner
- File size under 2MB each
- Demonstrates core functionality
Video Preview (optional but recommended):
- 15-30 seconds duration
- 1280x720 resolution minimum
- Fade transitions between scenes
- Background music (royalty-free)
- Branded watermark throughout
Brand Consistency:
- All assets use approved color palette
- Typography matches brand guidelines
- Tone aligns with brand archetype
- No prohibited terms in any metadata
- Brand audit score 70+/100
Technical Validation:
- All assets pass format/size requirements
- Icon has transparent background
- Screenshots render correctly on mobile
- Video plays without errors
- Color contrast meets accessibility standards
Conclusion
Strong branding is your ChatGPT app's competitive moat. The production-ready code in this guide automates the most time-consuming branding tasks: icon generation, name optimization, visual asset creation, and brand consistency enforcement.
Key takeaways:
- Consistency compounds: Users exposed to consistent branding are 3.5x more likely to convert
- Automate validation: Use the brand audit and asset validator tools before every submission
- Test, don't guess: A/B test icon variants with real users before committing
- SEO fundamentals: Optimize name and description for target keywords (1.5-3.5% density)
- Accessibility matters: WCAG AA contrast ratios prevent rejection and expand your audience
Ready to build a ChatGPT app with world-class branding? MakeAIHQ provides no-code tools for creating, branding, and deploying ChatGPT apps in 48 hours. Our AI Editor generates brand-compliant icons, optimizes descriptions, and validates all assets automatically.
Start building today:
- Explore Templates - 5 industry-specific app templates with pre-built branding
- View Features - Complete branding toolkit included
- Read the Pillar Guide - Master the entire submission process
Next steps:
- Use the icon generator to create 3-5 variants
- Run A/B tests with the testing framework
- Optimize your description with the AI-powered optimizer
- Validate everything with the brand audit tool
- Submit your app with confidence
Your brand is your promise to users. Make it unforgettable.