AI PageSpeed by DeployHQ

Last updated on 24th December 2025

AI PageSpeed is DeployHQ's free website performance analysis tool that goes beyond traditional speed testing. Using advanced AI technology, it analyzes your site's performance and delivers framework-specific optimization recommendations to help you improve Core Web Vitals and user experience.

What is AI PageSpeed?

AI PageSpeed is an AI-powered website speed testing and analysis tool available at pagespeed.deployhq.com. Unlike traditional performance tools that only show you metrics, AI PageSpeed automatically detects your technology stack and provides tailored, actionable recommendations based on proven optimization patterns for your specific framework.

The tool analyzes over 100 performance signals across your entire site, identifying bottlenecks and opportunities for improvement. Within approximately 30 seconds, you receive a comprehensive analysis with specific implementation steps to make your website faster.

Why We Built AI PageSpeed

Website performance directly impacts user experience and search engine rankings. Google considers Core Web Vitals as ranking factors, and users expect fast, responsive websites. However, understanding performance metrics and knowing how to fix issues are two different challenges.

Traditional performance tools tell you what's wrong - your Largest Contentful Paint is slow, or your JavaScript bundle is too large. But they rarely tell you how to fix it in the context of your specific tech stack. If you're using React, you need React-specific advice. If you're on WordPress, you need WordPress optimization strategies.

We built AI PageSpeed to bridge this gap. By combining performance analysis with AI-powered framework detection and a database of over 1,200 optimization strategies learned from analyzing 10,000+ websites, we provide actionable guidance that you can implement immediately.

How AI PageSpeed Works

1. Technology Stack Detection

When you submit a URL for analysis, AI PageSpeed automatically detects your website's technology stack. This includes:

  • Frontend frameworks (React, Vue, Angular, Next.js, Nuxt, etc.)
  • Content management systems (WordPress, Drupal, Joomla)
  • E-commerce platforms (Shopify, WooCommerce, Magento)
  • Static site generators (Gatsby, Hugo, Jekyll)
  • Build tools and libraries in use

This detection enables the AI to provide recommendations specific to your technology choices, rather than generic advice.

2. Performance Signal Analysis

The tool examines over 100 performance signals across your website:

  • Resource loading patterns
  • JavaScript execution timing
  • CSS rendering behavior
  • Image optimization status
  • Font loading strategies
  • Third-party script impact
  • Caching configuration
  • Network request efficiency

3. Core Web Vitals Measurement

AI PageSpeed measures the three critical user experience metrics that Google uses for ranking:

Largest Contentful Paint (LCP): Measures loading performance. Your LCP should occur within 2.5 seconds of when the page first starts loading.

Interaction to Next Paint (INP): Measures interactivity. Pages should have an INP of 200 milliseconds or less.

Cumulative Layout Shift (CLS): Measures visual stability. Pages should maintain a CLS of 0.1 or less.

4. AI-Powered Root Cause Analysis

Rather than just displaying metrics, the AI analyzes the root causes of performance issues. For example, instead of saying "LCP is slow," it might identify that "unoptimized PNG images in the hero section are delaying your Largest Contentful Paint by 1.2 seconds."

5. Framework-Specific Recommendations

Based on your detected technology stack, AI PageSpeed generates optimization recommendations tailored to your framework. Each recommendation includes:

  • Clear explanation: What the issue is and why it matters
  • Implementation steps: Specific code examples or configuration changes
  • Expected impact: Predicted performance improvement with confidence scores
  • Time estimate: How long the fix should take to implement
  • Ready-to-use prompts: AI agent prompts for ChatGPT, Claude, or other coding assistants

Key Features

Comprehensive Analysis

AI PageSpeed provides a complete picture of your website's performance, analyzing everything from initial page load to ongoing interactivity. The tool examines:

  • Page load timing and resource prioritization
  • JavaScript bundle size and execution efficiency
  • CSS optimization and critical path rendering
  • Image formats, compression, and lazy loading
  • Font loading strategies and subsetting
  • Third-party script impact and optimization
  • Browser caching and CDN configuration
  • Server response times and compression

Actionable Recommendations

Every issue identified includes specific, actionable guidance:

  • Step-by-step implementation instructions
  • Code examples in your framework's syntax
  • Before and after comparisons with metrics
  • Priority ranking based on impact potential
  • Confidence scores for predicted improvements

AI Agent Integration

After receiving your analysis, you can generate a comprehensive prompt for AI coding assistants. This prompt includes all the context from your performance analysis and can be pasted directly into:

  • Claude (Anthropic)
  • ChatGPT (OpenAI)
  • GitHub Copilot
  • Cursor
  • Any other AI assistant

This allows you to go from analysis to implementation quickly, with the AI assistant generating the specific code changes needed for your project.

No Signup Required

AI PageSpeed is completely free to use with no account creation needed. Simply enter a URL and receive your analysis in approximately 30 seconds.

Example Use Cases

React Application Performance

Scenario: A React single-page application has slow initial load times.

AI PageSpeed Analysis:

  • Detects React framework and identifies code-splitting opportunities
  • Finds unoptimized images in component imports
  • Identifies unnecessary dependencies increasing bundle size
  • Recommends lazy loading components not needed on initial render

Recommendations:

  • Implement React.lazy() for route-based code splitting
  • Convert PNG images to WebP format with fallbacks
  • Remove unused dependencies from package.json
  • Add intersection observer for below-the-fold content

WordPress Site Optimization

Scenario: A WordPress blog has poor Core Web Vitals scores.

AI PageSpeed Analysis:

  • Detects WordPress and identifies plugin bloat
  • Finds unoptimized theme assets and render-blocking resources
  • Identifies font loading causing layout shifts
  • Recommends specific WordPress optimization plugins

Recommendations:

  • Install and configure a caching plugin with specific settings
  • Implement lazy loading for images below the fold
  • Use font-display: swap for custom fonts
  • Defer non-critical JavaScript execution

E-commerce Platform Enhancement

Scenario: A Shopify store needs faster product page loads.

AI PageSpeed Analysis:

  • Detects Shopify platform and analyzes theme performance
  • Identifies large product images without optimization
  • Finds third-party apps slowing page load
  • Recommends Shopify-specific optimization strategies

Recommendations:

  • Use Shopify's responsive image features with proper sizing
  • Implement theme sections for critical content prioritization
  • Audit and remove unused apps
  • Enable Shopify CDN for all assets

Best Practices for Using AI PageSpeed

Regular Performance Audits

Run AI PageSpeed analysis regularly to:

  • Monitor performance after deployments
  • Catch regressions before they impact users
  • Track improvement progress over time
  • Identify new optimization opportunities

Prioritize High-Impact Fixes

Focus on recommendations with:

  • High confidence scores (above 80%)
  • Significant predicted improvements
  • Quick implementation times
  • Critical Core Web Vitals impact

Test Before and After

  • Document baseline metrics before making changes
  • Implement one recommendation at a time
  • Measure actual impact using real user monitoring
  • Validate that changes improve real-world performance

Combine with Deployment Workflow

Integrate performance analysis into your deployment process:

  1. Run AI PageSpeed on staging environments
  2. Implement recommended optimizations
  3. Validate improvements before production deployment
  4. Monitor production performance after deployment

Understanding the Results

Performance Scores

AI PageSpeed provides performance scores based on industry standards and real-world data from thousands of websites. Scores are categorized as:

  • Good (90-100): Excellent performance, minimal optimization needed
  • Needs Improvement (50-89): Acceptable but with clear optimization opportunities
  • Poor (0-49): Significant performance issues requiring attention

Confidence Levels

Each recommendation includes a confidence score indicating prediction accuracy:

  • 95%+: Very high confidence based on proven patterns
  • 80-94%: High confidence with expected results
  • 70-79%: Moderate confidence, results may vary
  • Below 70%: Lower confidence, test thoroughly

Time Estimates

Implementation time estimates help you prioritize work:

  • Quick wins (under 1 hour): High-impact changes requiring minimal time
  • Moderate effort (1-4 hours): Worthwhile improvements with reasonable investment
  • Significant work (4+ hours): Major optimizations requiring planning

Privacy and Data Handling

AI PageSpeed respects your privacy:

  • Analyses are performed on publicly accessible pages only
  • No personal data is collected or stored
  • Results are not permanently stored in our systems
  • URL submissions are processed securely
  • No cookies or tracking beyond basic analytics

Getting Started

To analyze your website with AI PageSpeed:

  1. Visit pagespeed.deployhq.com
  2. Enter your website URL in the analysis field
  3. Click "Analyze" to start the performance scan
  4. Review the results and recommendations in approximately 30 seconds
  5. Use the "Prompt for AI Agents" feature to generate implementation guidance
  6. Implement recommended optimizations in your codebase
  7. Re-run the analysis to verify improvements

Feedback and Support

We continuously improve AI PageSpeed based on user feedback and new optimization patterns. If you have suggestions, encounter issues, or want to share success stories, please contact our support team.

The tool is constantly learning from new analyses, and your feedback helps make the recommendations more accurate and valuable for everyone.