Blazly

SEO

Page Speed

The Page Speed feature helps users analyze how fast their website pages load and identifies performance issues that can affect user experience, SEO rankings, co

The Page Speed feature helps users analyze how fast their website pages load and identifies performance issues that can affect user experience, SEO rankings, conversions, and Core Web Vitals.

Page Speed uses Lighthouse-style performance analysis to evaluate every URL and provides actionable recommendations for improving website speed and overall page experience. Google considers page experience and Core Web Vitals as important quality signals, making speed optimization an essential part of SEO.

1. Page Speed Dashboard

The Page Speed dashboard serves as the entry point for analyzing website performance.

Purpose

Allows users to select a connected website property and run performance audits across all URLs.

Features

  • Displays all connected website properties.
  • Supports URL Prefix properties.
  • One-click access to performance analysis.
  • Centralized speed monitoring for multiple projects.

User Action

1. Open Page Speed from the Analyze section.

2. Select a website property

3. Start the analysis process

2. URL Performance Overview

After selecting a property, users can see a complete summary of website performance.

Metrics Displayed

Analyzed URLs

Shows the total number of URLs successfully audited.

Example:

27 / 27 URLs analyzed

Average Performance Score

Average Lighthouse Performance Score across all pages.

Score Range

Score

Status

90 – 100

Excellent

50 – 89

Needs Improvement

0 – 49

Poor

Google generally considers scores above 90 as good performance. (RankGap)

Needs Attention

Displays pages with low performance scores requiring optimization.

This helps users quickly identify problem pages without reviewing every URL manually.

CWV Passing

Shows how many pages successfully pass Core Web Vitals requirements.

Core Web Vitals include:

  • Largest Contentful Paint (LCP)
  • Interaction Responsiveness
  • Cumulative Layout Shift (CLS)

These metrics are used by Google to evaluate page experience. (Core Web Vitals Analyzer)

3. Mobile & Desktop Analysis

Users can switch between:

Mobile

Analyzes performance on mobile devices

Desktop

Analyzes performance on desktop devices.

Since Google primarily evaluates user experience on mobile devices, mobile scores are often lower and require more optimization. (Glasp)

4. Analyze All URLs

Purpose

Runs a fresh performance audit across every page in the selected website.

Benefits

  • Updates performance scores.
  • Detects new speed issues.
  • Monitors optimization progress over time.

5. URL Performance List

Displays every analyzed page

For each URL, users can view:

Performance Score

Overall page speed score

Accessibility Score

Measures accessibility compliance

Examples:

  • Color contrast
  • Alt text usage
  • Screen reader compatibility

Best Practices Score

Measures technical quality and modern web standards.

Examples:

  • HTTPS usage
  • Secure coding practices
  • Browser compatibility

SEO Score

Measures basic SEO implementation

Examples:

  • Meta tags
  • Crawlability
  • Structured page elements

Status Indicator

Pages are categorized as:

  • Good
  • Needs Improvement
  • Needs Work

This allows users to prioritize optimization efforts.

6. URL Detail Report

Clicking any URL opens a detailed performance report.

The report provides a complete breakdown of page performance metrics.

Performance Score

The main Lighthouse performance score

Example:

53 / 100

Status:

Room for Improvement

This indicates users may experience slower loading times or interaction delays.

7. Performance Categories

Each page receives four major scores:

Performance

Measures loading speed and responsiveness.

Accessibility

Measures usability for all users

Best Practices

Measures technical implementation quality.

SEO

Measures search engine optimization readiness.

8. Opportunities Section

Shows actionable improvements that can increase page speed.

Examples

  • Compress images
  • Reduce unused JavaScript
  • Optimize CSS
  • Enable caching
  • Minify code
  • Reduce server response time

These opportunities represent the highest-impact optimizations available for the page. (supermonitoring.com)

9. Core Web Vitals

Core Web Vitals are Google's user experience metrics.

Metrics

Largest Contentful Paint (LCP)

Measures how quickly the main content loads.

Good: Under 2.5 seconds

Interaction Responsiveness

Measures how quickly users can interact with the page.

Cumulative Layout Shift (CLS)

Measures visual stability

Example:

  • Buttons moving while loading
  • Images causing layout jumps

Pages passing these metrics generally provide a better user experience. (Core Web Vitals Analyzer)

10. Poor Metrics Section

Displays metrics that exceed Google's recommended thresholds.

Purpose

Helps users identify:

  • Slow loading elements
  • Heavy scripts
  • Render-blocking resources
  • User experience issues

The lower this number, the better

11. Diagnostics Section

Technical findings discovered during analysis.

Examples

  • Large JavaScript bundles
  • Excessive DOM size
  • Slow server responses
  • Unused CSS
  • Third-party script impact
  • Long main-thread tasks

Diagnostics help developers understand the root cause of performance issues.

12. Core Web Vitals & Lab Metrics

Provides detailed performance measurements collected during testing.

Common Metrics

First Contentful Paint (FCP)

When the first visible content appears

Largest Contentful Paint (LCP)

When the main content becomes visible

Speed Index

How quickly page content becomes visually available.

Total Blocking Time (TBT)

Measures how long the browser is blocked by scripts.

Cumulative Layout Shift (CLS)

Measures visual stability.

These metrics are commonly used by Lighthouse and PageSpeed tools to evaluate website performance. (PageSpeed Insights)

13. AI Performance Advisor

Purpose

Provides AI-generated recommendations for improving page speed.

Features

  • Analyzes Lighthouse data
  • Reviews Core Web Vitals
  • Identifies optimization opportunities
  • Generates prioritized fixes
  • Provides implementation suggestions
  • Helps developers resolve issues faster