Match Any Client's Brand in Minutes: AI-Powered Web Style Guide Generation

January 27, 2026 10 min read

# Match Any Client's Brand in Minutes: AI-Powered Web Style Guide Generation

New client onboards. You need to create landing pages, reports, email templates, and social graphics that match their brand.

The brand guidelines PDF is 47 pages of philosophy and 2 pages of actual specifications. The hex codes are there, but the web-specific applications aren't. Which blue for buttons? What's the hover state? How much padding? What's the font stack for fallbacks?

You spend 3 hours in browser DevTools reverse-engineering their live site. Or you guess and get revision requests.

AI-powered style guide extraction does this in 15 minutes. Point it at a website, get a complete web style guide with CSS variables, typography scales, and component patterns.

Here's how.

The Style Guide Problem

Most brand guidelines fail web practitioners:

What brand guides provide:

• Logo files and clear space rules
• Color palette (often just primary colors)
• Typography (font names, maybe sizes)
• Voice and tone guidance
• Print specifications

What web developers need:

• Full color system (primary, secondary, backgrounds, borders, text variations)
• Typography scale (sizes, weights, line heights for all heading levels)
• Spacing system (consistent padding and margins)
• Interactive states (hover, focus, active for all elements)
• Component specifications (buttons, cards, forms, tables)
• CSS custom properties for consistent implementation

The gap between brand guide and web implementation is where inconsistency lives.

The 15-Minute Style Guide

Our approach extracts web specifications directly from the client's live site.

Step 1: Capture Representative Pages (3 minutes)

Using SingleFile, capture 3-5 pages that showcase the design system:

• Homepage (brand colors, hero treatment, navigation)
• Product/service page (content typography, CTAs, feature displays)
• Blog/content page (body typography, heading hierarchy)
• Contact or form page (form styling, input treatments)

These captured files contain all the CSS—both inline and embedded from stylesheets.

Step 2: AI Extraction (5 minutes)

Feed captured HTML files to AI with this prompt:

Analyze these HTML files and extract a comprehensive web style guide.

For each element, provide the actual values used on the site:

1. COLOR SYSTEM
- Primary brand colors (with hover/active states if visible)
- Secondary/accent colors
- Background colors (main, alternate sections, cards)
- Text colors (headings, body, muted, links)
- Border colors
- Status colors (success, warning, error if present)
Format as CSS custom properties with descriptive names

2. TYPOGRAPHY SYSTEM
- Font families (with fallback stacks)
- Heading sizes (h1-h6) with line heights and weights
- Body text size and line height
- Small/caption text
- Button/label text
Format as CSS custom properties

3. SPACING SYSTEM
- Section padding patterns
- Component margins
- Internal component padding
- Grid gaps if visible
Format as CSS custom properties (--spacing-xs through --spacing-3xl)

4. COMPONENT STYLES
- Button styles (padding, border-radius, shadows)
- Card styles (padding, border, shadow, radius)
- Input/form styles
- Table styles if present
Format as complete CSS rules using the custom properties

5. NOTES
- Any patterns that appear multiple times
- Inconsistencies observed (different blues, varying padding)
- Recommended standardization

Step 3: Human Refinement (5 minutes)

AI output needs human review:

• Verify extracted colors against brand guide (AI might pick up off-brand elements)
• Standardize any inconsistencies (pick one padding value, not three similar ones)
• Add missing elements based on anticipated needs
• Organize into logical groups

Step 4: Documentation Output (2 minutes)

Final output becomes a working style guide document:

/* ===== [CLIENT] Web Style Guide ===== */
/* Extracted from live site: [date] */

:root {
  /* === COLORS === */
  /* Primary */
  --color-primary: #2563eb;
  --color-primary-hover: #1d4ed8;
  --color-primary-light: #dbeafe;

  /* Secondary */
  --color-secondary: #64748b;
  --color-secondary-hover: #475569;

  /* Backgrounds */
  --color-bg-primary: #ffffff;
  --color-bg-secondary: #f8fafc;
  --color-bg-accent: #f1f5f9;

  /* Text */
  --color-text-primary: #1e293b;
  --color-text-secondary: #64748b;
  --color-text-muted: #94a3b8;
  --color-text-inverse: #ffffff;

  /* Borders */
  --color-border: #e2e8f0;
  --color-border-strong: #cbd5e1;

  /* Status */
  --color-success: #22c55e;
  --color-warning: #f59e0b;
  --color-error: #ef4444;

  /* === TYPOGRAPHY === */
  --font-family-heading: 'Inter', -apple-system, BlinkMacSystemFont, sans-serif;
  --font-family-body: 'Inter', -apple-system, BlinkMacSystemFont, sans-serif;
  --font-family-mono: 'Fira Code', monospace;

  --font-size-xs: 0.75rem;    /* 12px */
  --font-size-sm: 0.875rem;   /* 14px */
  --font-size-base: 1rem;     /* 16px */
  --font-size-lg: 1.125rem;   /* 18px */
  --font-size-xl: 1.25rem;    /* 20px */
  --font-size-2xl: 1.5rem;    /* 24px */
  --font-size-3xl: 1.875rem;  /* 30px */
  --font-size-4xl: 2.25rem;   /* 36px */
  --font-size-5xl: 3rem;      /* 48px */

  --line-height-tight: 1.25;
  --line-height-normal: 1.5;
  --line-height-relaxed: 1.75;

  --font-weight-normal: 400;
  --font-weight-medium: 500;
  --font-weight-semibold: 600;
  --font-weight-bold: 700;

  /* === SPACING === */
  --spacing-xs: 0.25rem;   /* 4px */
  --spacing-sm: 0.5rem;    /* 8px */
  --spacing-md: 1rem;      /* 16px */
  --spacing-lg: 1.5rem;    /* 24px */
  --spacing-xl: 2rem;      /* 32px */
  --spacing-2xl: 3rem;     /* 48px */
  --spacing-3xl: 4rem;     /* 64px */

  /* === BORDERS === */
  --radius-sm: 0.25rem;    /* 4px */
  --radius-md: 0.375rem;   /* 6px */
  --radius-lg: 0.5rem;     /* 8px */
  --radius-xl: 0.75rem;    /* 12px */
  --radius-full: 9999px;

  /* === SHADOWS === */
  --shadow-sm: 0 1px 2px 0 rgb(0 0 0 / 0.05);
  --shadow-md: 0 4px 6px -1px rgb(0 0 0 / 0.1);
  --shadow-lg: 0 10px 15px -3px rgb(0 0 0 / 0.1);
}

/* === COMPONENT STYLES === */

/* Buttons */
.btn {
  font-family: var(--font-family-body);
  font-size: var(--font-size-sm);
  font-weight: var(--font-weight-medium);
  padding: var(--spacing-sm) var(--spacing-lg);
  border-radius: var(--radius-md);
  transition: all 0.15s ease;
}

.btn-primary {
  background-color: var(--color-primary);
  color: var(--color-text-inverse);
}

.btn-primary:hover {
  background-color: var(--color-primary-hover);
}

/* Cards */
.card {
  background: var(--color-bg-primary);
  border: 1px solid var(--color-border);
  border-radius: var(--radius-lg);
  padding: var(--spacing-lg);
  box-shadow: var(--shadow-sm);
}

This becomes the source of truth for all deliverables.

Why This Beats Manual Extraction

Speed: 15 minutes vs 3+ hours

Completeness: AI catches patterns humans miss. That slightly different gray used in one section? AI notes it.

Consistency: Extracted variables ensure every deliverable matches exactly. No "close enough" color picking.

Documentation: The output is immediately usable CSS, not notes that need translation.

Team alignment: Anyone on the team can use the style guide. No tribal knowledge required. This is part of our broader AI-amplified marketing approach.

Use Cases Beyond Initial Extraction

Once you have the style guide, applications multiply:

Landing Page Creation

Building landing pages for a client? Start with their extracted variables:

<style>
  /* Import client's extracted style guide */
  :root { /* ... client variables ... */ }
</style>

<section style="background: var(--color-bg-secondary); padding: var(--spacing-3xl);">
  <h2 style="color: var(--color-text-primary); font-size: var(--font-size-3xl);">
    Headline Here
  </h2>
  <button class="btn btn-primary">
    Call to Action
  </button>
</section>

Perfect brand match, every time. This enables rapid CRO experiments that look like they were built by the client's team.

Report and Dashboard Styling

Client reports should match client branding:

.report-header {
  background: var(--color-primary);
  color: var(--color-text-inverse);
}

.report-metric {
  font-family: var(--font-family-heading);
  font-size: var(--font-size-2xl);
  color: var(--color-text-primary);
}

.report-chart-bar {
  background: var(--color-primary);
}

Reports feel like an extension of the client's brand, not a generic template. This is essential for our AI-powered client reporting at scale.

Email Templates

Email styling from the same variables:

<table style="font-family: 'Inter', Arial, sans-serif;">
  <tr>
    <td style="background: #2563eb; color: #ffffff; padding: 24px;">
      <!-- Header using client primary color -->
    </td>
  </tr>
  <tr>
    <td style="color: #1e293b; font-size: 16px; line-height: 1.5;">
      <!-- Body using client text colors -->
    </td>
  </tr>
</table>

Email requires inline styles, but the values come from the extracted guide.

CRO Experiment Variants

Testing landing page variants? Extracted styles ensure variants match the site:

.cro-variant-trust-badges {
  background: var(--color-bg-secondary);
  border: 1px solid var(--color-border);
  border-radius: var(--radius-lg);
  /* Matches site perfectly */
}

No "that doesn't look like our site" revision requests. This brand extraction technique powers our CRO & Analytics services—every test variant matches your brand perfectly.

Handling Edge Cases

Multiple Brand Variations

Some companies have sub-brands or campaign-specific styling:

• Extract each variation separately
• Name variables with variation prefix: --corporate-primary, --campaign-primary
• Document when to use each

Inconsistent Source Sites

Some sites have inconsistent styling (different designers over time):

• Note inconsistencies in the extraction
• Recommend standardization
• Pick the most common pattern as the baseline

Missing Elements

Source site doesn't have a component you need?

• Derive from existing patterns
• "Button has 8px radius, so cards should likely be 12px for visual hierarchy"
• Document as "derived" vs "extracted"

Building This Into Your Workflow

For Agencies

New client onboarding checklist:

1. Receive brand guidelines
2. Extract web style guide from live site
3. Compare extraction to guidelines (note gaps)
4. Create master stylesheet with variables
5. Use for all client deliverables

For In-House Teams

Maintain style guide as source of truth:

1. Extract current state from production
2. Document any deviations from intent
3. Update extraction when site updates
4. Use variables in all internal tools/templates

For Freelancers

Client project kickoff:

1. Extract style guide before starting work
2. Share with client for validation
3. Use for all deliverables
4. Include in project handoff

Start Today

If you're spending hours matching client branding, here's your path:

Today:

1. Install SingleFile browser extension
2. Capture a client's homepage
3. Run AI extraction prompt
4. Review output quality

This week:

1. Extract style guides for active clients
2. Update your templates to use CSS variables
3. Test on next deliverable

This month:

1. Build extraction into new client onboarding
2. Create template library using variable patterns
3. Standardize team workflow around style guides

Let Us Handle Your Style Guides

Want professional style guide extraction? We offer it as a service.

What you get:

• Comprehensive web style guide extraction
• CSS custom properties ready for implementation
• Component patterns documentation
• Recommendations for consistency improvements

Investment: $250 per style guide extraction.

Contact us:

• Email: hello@wedoworldwide.com
• Website: wedoworldwide.com

Send us a client URL. We'll send back sample extracted variables within 24 hours.

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About the Author: Mike McKearin is the founder of WE-DO Growth Agency. His team extracts style guides for 100+ client websites, ensuring every deliverable matches the brand without hours of manual reverse-engineering.