paellaSEO Feature Documentation

paellaSEO is built with a modern technology stack that prioritizes efficiency and performance

Technical Architecture and Development Environment

paellaSEO is built with a modern technology stack that prioritizes efficiency and performance:

Development Stack

  • Bun: Used as a package manager and JavaScript runtime, completely replacing npm.
  • Vite: Ultra-fast build framework for project bundling, instead of Webpack.
  • TypeScript: Implemented for static typing and better maintainability.
  • ESM (ECMAScript Modules): Used for better organization and code modularity.

Technical Stack Advantages

  • Superior Performance: Bun offers installation and compilation times up to 10x faster than npm.
  • Efficient Development: Instant Hot Module Replacement (HMR) thanks to Vite.
  • Lower Memory Footprint: Resource optimization during development and in production.
  • Modern Compatibility: Focus on current and future web standards.

This technical approach allows the development team to iterate quickly and ensures that the extension maintains optimal performance for end users.

1. Current Page SEO Analysis

Description

This functionality analyzes the HTML structure of the current webpage and provides a detailed report on its SEO optimization. The analysis is performed in real-time, evaluating more than 30 critical on-page SEO factors that directly affect search engine positioning.

Features

  • Automatic scanning when loading the page
  • Analysis of SEO-relevant HTML tags
  • Overall SEO optimization score (0-100)
  • Identification of missing critical elements
  • Optimized scanning time (<2 seconds for most pages)
  • Categorization of issues by severity (Critical, Important, Suggestion)
  • Analysis history to compare improvements

User Interface Components

  • Summary Panel: Displays the overall score and a visual summary of SEO status
  • Issue List: Organized by categories and severity
  • Technical Details: Expandable panel with detailed technical information
  • Analysis History: Graph showing the evolution of SEO score over time

Technical Implementation

// Simplified example of the SEO analyzer
class SEOAnalyzer {
  constructor(domContent) {
    this.dom = domContent;
    this.scores = {};
    this.issues = [];
    this.totalScore = 0;
  }
  
  analyze() {
    this.analyzeMetaTags();
    this.analyzeHeadings();
    this.analyzeContent();
    this.analyzeLinks();
    this.analyzeImages();
    this.calculateTotalScore();
    return {
      score: this.totalScore,
      issues: this.issues,
      detailedScores: this.scores
    };
  }
  
  // Specific analysis methods
  analyzeMetaTags() { /* ... */ }
  analyzeHeadings() { /* ... */ }
  // ...
}

Evaluated Factors

  1. Basic Metadata:
    • Page title (presence, length, keywords)
    • Meta description (presence, length, persuasiveness)
    • Meta viewport for mobile devices
    • Declared language
  2. Heading Structure:
    • Presence of unique H1
    • Correct heading hierarchy
    • Keyword distribution in headings
    • Appropriate heading length
  3. Text Content:
    • Content length
    • Keyword density
    • Text readability
    • Paragraphs and reading structure
  4. Links:
    • Internal links (quantity and relevance)
    • External links (authority and relevance)
    • Descriptive anchor texts
    • Broken links
  5. Images:
    • Alt attributes
    • Size and optimization
    • Descriptive file names

Technical Requirements

  • Access to the DOM of the current page through content scripts
  • Extension permissions to analyze the complete content of the page
  • Algorithm based on weighted rules for SEO criteria
  • Local storage for saving analysis history
  • Performance optimization to not affect navigation experience

Use Cases

  1. Web Development: A developer quickly verifies if new pages meet SEO standards before publishing.
  2. SEO Audit: A specialist performs an initial evaluation to identify critical issues.
  3. Education: A student learns about SEO by seeing in real time how changes affect the score.

2. Improvement Recommendations

Description

Based on the analysis, the extension provides specific and actionable recommendations to improve page SEO. Each recommendation is prioritized by its potential impact on positioning and is accompanied by a detailed explanation and implementation examples.

Features

  • Prioritized suggestions by potential impact (High, Medium, Low)
  • Step-by-step instructions to implement improvements
  • Code examples for recommended modifications
  • Explanation of expected impact of each improvement
  • Implementation effort estimation
  • References to relevant educational resources
  • Function to mark recommendations as “implemented” or “ignored”

User Interface Components

  • Suggestion List: Ordered by priority with color codes
  • Suggestion Details: Expandable view with detailed instructions
  • Code Editor: To show current code and proposed
  • Educational Resources: Links to articles and relevant documentation
  • Progress Panel: Tracking of implemented recommendations

Technical Implementation

// Simplified example of the recommendation system
class SEORecommender {
  constructor(analysisResults) {
    this.analysis = analysisResults;
    this.recommendations = [];
  }
  
  generateRecommendations() {
    this.checkMetaTagsRecommendations();
    this.checkHeadingsRecommendations();
    this.checkContentRecommendations();
    this.checkLinkRecommendations();
    this.checkImageRecommendations();
    this.prioritizeRecommendations();
    return this.recommendations;
  }
  
  // Example of specific recommendation method
  checkMetaTagsRecommendations() {
    const title = this.analysis.metaTags.title;
    
    if (!title) {
      this.recommendations.push({
        priority: 'high',
        impact: 'critical',
        category: 'metaTags',
        title: 'Add title tag',
        description: 'The page does not have a defined title tag...',
        currentCode: '<!-- No title tag found -->',
        suggestedCode: '<title>Descriptive title with main keywords</title>',
        effort: 'low',
        resources: ['https://ejemplo.com/seo-title-best-practices']
      });
    } else if (title.length < 10 || title.length > 60) {
      // Recommendation for title length
      // ...
    }
    
    // More checks and recommendations...
  }
}

Suggestion Types

  1. Critical Corrections: Problems that must be solved immediately (e.g., missing title).
  2. Significant Improvements: Changes that will have a significant impact (e.g., improve meta descriptions).
  3. Advanced Optimizations: Adjustments to perfect already well-optimized pages.
  4. Best Practices: Suggestions following the latest SEO trends.

Prioritization Algorithm

Recommendations are prioritized considering:

  • Potential impact on positioning
  • Implementation ease
  • Visibility for search engines
  • Relevance for the type of analyzed page
  • Current trends in search algorithms

Technical Requirements

  • Score system to prioritize recommendations based on multiple factors
  • Updated knowledge base of SEO best practices
  • Code generator for HTML contextualized to the page
  • Tracking system for implemented recommendations
  • SEO knowledge base update mechanism

Use Cases

  1. Iterative Optimization: A site owner implements improvements progressively, starting with the most critical.
  2. Training: A marketing team learns about SEO while implementing recommendations.
  3. SEO Consulting: A consultant uses recommendations as a basis for their service proposal.

3. Meta Tag Analysis

Description

Detailed evaluation of meta tags present in the page and their effectiveness for SEO. This functionality examines not only basic meta tags but also specific ones for social media, mobile search, and search engine robot directives.

Features

  • Verification of title and description meta tags
  • Analysis of Open Graph tags for sharing on social media
  • Evaluation of meta tags for robots and indexation directives
  • Analysis of Twitter Card tags
  • Verification of canonical tags
  • Check for hreflang tags for multilingual content
  • Analysis of schema.org and structured data
  • Suggestions for meta tag optimization

User Interface Components

  • General Meta Tags View: Visual summary of all meta tags
  • Previews: Simulation of how the page will look in search results and social media
  • Meta Tag Editor: Interface for editing and seeing changes in real time
  • Structured Data Validator: Tool for verifying correct implementation

Technical Implementation

// Simplified example of the meta tag analyzer
class MetaTagAnalyzer {
  constructor(headContent) {
    this.head = headContent;
    this.metaTags = this.extractAllMetaTags();
    this.results = {};
  }
  
  extractAllMetaTags() {
    // Extract all relevant meta, title, link[rel] tags
    return {
      title: this.extractTitle(),
      description: this.extractMetaByName('description'),
      robots: this.extractMetaByName('robots'),
      canonical: this.extractLinkByRel('canonical'),
      ogTags: this.extractOpenGraphTags(),
      twitterTags: this.extractTwitterTags(),
      schemaData: this.extractSchemaData()
    };
  }
  
  analyzeMetaTags() {
    this.analyzeTitleTag();
    this.analyzeDescriptionTag();
    this.analyzeRobotsDirectives();
    this.analyzeCanonicalTag();
    this.analyzeSocialTags();
    this.analyzeStructuredData();
    return this.results;
  }
  
  // Specific methods for each type of meta tag
  analyzeTitleTag() { /* ... */ }
  // ...
}

Evaluated Factors in Meta Tags

  1. Page Title:
    • Optimal length (50-60 characters)
    • Inclusion of main keywords
    • Uniqueness in the website
    • Persuasive structure
  2. Meta Description:
    • Appropriate length (120-158 characters)
    • Call to action
    • Natural inclusion of keywords
    • Precise description
  3. Open Graph and Twitter Tags:
    • Specific title, description, and image
    • Correct image dimensions
    • Defined canonical URL
    • Specified content type
  4. Robots Directives:
    • Appropriate indexation configuration
    • Link tracking directives
    • Appropriate use of noindex/nofollow when appropriate
  5. Structured Data:
    • Correct implementation of schema.org
    • Relevance of structured data type
    • Validity of JSON-LD or microdata format

Technical Requirements

  • Complete meta tag extractor from the DOM
  • Quality and relevance evaluation algorithm for meta data
  • Generator of contextualized suggestions for optimized meta tags
  • Syntax validator for structured data
  • SERP appearance simulator

Use Cases

  1. CTR Optimization: An editor improves meta descriptions to increase click-through rate.
  2. Social Media Presence: A marketing team optimizes Open Graph tags for better presentation on social media.
  3. Selective Indexing: A webmaster correctly configures robots directives for specific pages.

4. Content Structure Analysis

Description

Evaluation of heading hierarchy, paragraphs, and general content structure from a SEO perspective. This functionality analyzes how information is organized in the page to maximize understanding by search engines and improve user experience.

Features

  • Analysis of heading hierarchy (H1-H6)
  • Evaluation of content length and density
  • Identification of poorly structured paragraphs
  • Analysis of text readability
  • Evaluation of keyword density
  • Detection of internal content duplication
  • Analysis of internal link structure
  • Suggestions for improving content hierarchy

User Interface Components

  • Structure Map: Visual representation of content hierarchy
  • Readability Analyzer: Readability metrics
  • Keyword Highlighter: Visualization of keyword distribution
  • Structure Editor: Interactive suggestions for reorganization

Technical Implementation

// Simplified example of the content structure analyzer
class ContentStructureAnalyzer {
  constructor(bodyContent) {
    this.body = bodyContent;
    this.headings = this.extractHeadings();
    this.paragraphs = this.extractParagraphs();
    this.results = {
      structure: {},
      readability: {},
      keywords: {},
      suggestions: []
    };
  }
  
  extractHeadings() {
    // Extract all H1-H6 headings
    return {
      h1: this.extractElementsByTag('h1'),
      h2: this.extractElementsByTag('h2'),
      h3: this.extractElementsByTag('h3'),
      h4: this.extractElementsByTag('h4'),
      h5: this.extractElementsByTag('h5'),
      h6: this.extractElementsByTag('h6')
    };
  }
  
  analyzeHeadingStructure() {
    // Verify correct hierarchy (H1 > H2 > H3...)
    // Verify presence of unique H1
    // Verify appropriate distribution
    // ...
  }
  
  analyzeContentReadability() {
    // Calculate readability scores (Flesch-Kincaid, etc.)
    // Evaluate paragraph length and sentence
    // ...
  }
  
  analyzeKeywordDistribution() {
    // Identify main keywords
    // Evaluate density and positioning
    // ...
  }
  
  // Additional methods for specific analyses
  // ...
}

Evaluated Factors in Content Structure

  1. Heading Hierarchy:
    • Presence of a single H1 related to the main topic
    • Logical sequence of headings without skipping levels
    • Balanced distribution of headings in the content
    • Relevance of keywords in headings
  2. Paragraphs and Text:
    • Appropriate paragraph length (ideal 3-5 sentences)
    • Use of lists for better readability
    • Presence of introduction and conclusion
    • Use of bold for highlighting important concepts
  3. Keywords:
    • Natural density (avoiding keyword stuffing)
    • Distribution throughout the content
    • Semantic variations and related terms
    • Strategic positioning (paragraph start, headings)
  4. Readability:
    • Readability score (Flesch-Kincaid, SMOG)
    • Sentence length and syntactic complexity
    • Use of active voice vs. passive voice
    • Consistency in verbal and grammatical person

Technical Requirements

  • DOM structure analyzer to extract and classify content elements
  • Algorithms for evaluating hierarchy and relationships between elements
  • Readability analyzer with support for Spanish and other languages
  • System for detecting relevant keywords and phrases
  • Knowledge base for SEO best practices

Use Cases

  1. Content Creation: A writer uses analysis to improve structure before publishing.
  2. Existing Page Optimization: A specialist in SEO reorganizes content for better hierarchy.
  3. Content Audit: A writer analyzes multiple pages to detect improvement patterns.

5. SEO Performance Analysis

Description

Evaluation of technical factors related to performance that directly affect SEO, such as loading speed, elements blocking rendering, and mobile optimization. This functionality connects user experience metrics with their impact on positioning.

Features

  • Analysis of page loading time
  • Detection of resources blocking rendering
  • Evaluation of resource size (HTML, CSS, JS, images)
  • Check for mobile optimization
  • Analysis of Core Web Vitals (LCP, FID, CLS)
  • Identification of unnecessary scripts and resources
  • Recommendations for improving performance

User Interface Components

  • Performance Dashboard: Visual summary of key metrics
  • Load Cascade: Visualization of resource loading order and time
  • Mobile Simulator: Preview of how the page looks on different devices
  • Metric Comparator: Contrast with industry standards

Technical Implementation

// Simplified example of the performance analyzer
class PerformanceAnalyzer {
  constructor() {
    this.metrics = this.collectPerformanceMetrics();
    this.resources = this.analyzePageResources();
    this.mobileOptimization = this.checkMobileOptimization();
    this.coreWebVitals = this.estimateCoreWebVitals();
    this.results = {
      score: 0,
      metrics: {},
      issues: [],
      recommendations: []
    };
  }
  
  collectPerformanceMetrics() {
    // Collect performance metrics from the browser API
    return {
      loadTime: this.calculateLoadTime(),
      domContentLoaded: this.calculateDOMContentLoaded(),
      firstPaint: this.calculateFirstPaint(),
      // ...
    };
  }
  
  analyzePageResources() {
    // Analyze resource size, type, and loading time
    // ...
  }
  
  // Additional methods for specific evaluations
  // ...
}

Evaluated Factors in Performance

  1. Loading Speed:
    • Time to first byte (TTFB)
    • First Contentful Paint (FCP)
    • Largest Contentful Paint (LCP)
    • Time to Interactive (TTI)
  2. Resource Optimization:
    • Image, CSS, and JavaScript compression
    • Code minification
    • Lazy loading of non-critical resources
    • Appropriate use of browser cache
  3. Mobile Experience:
    • Responsive design
    • Font size and touch elements
    • Absence of horizontal scroll with content
    • Correctly configured viewport
  4. Core Web Vitals:
    • Compliance with Google recommended thresholds
    • Visual stability (CLS)
    • Interactivity (FID)
    • Perceived loading speed (LCP)

Technical Requirements

  • Access to browser performance API
  • Ability to evaluate loaded resources and their impact
  • Algorithms for simulating Core Web Vitals metrics
  • Optimization recommendation generator
  • Interface for visually displaying performance data

Use Cases

  1. Technical Optimization: A developer identifies and eliminates scripts blocking rendering.
  2. Mobile Experience Improvement: A web designer adjusts elements for better usability on mobile devices.
  3. Preparation for Algorithm Updates: A team prepares for changes in ranking factors based on user experience.

6. Export and Reports

Description

Functionality to generate, save, and share detailed SEO analysis reports. Allows documenting current state, recommendations, and following optimization progress over time.

Features

  • Report generation in PDF, HTML, and CSV formats
  • Customizable report content and sections
  • Inclusion of comparison screenshots
  • Analysis history for tracking improvements
  • Executive reports for client presentations
  • Detailed technical reports for implementation
  • Option to share directly by email or link

User Interface Components

  • Report Generator: Interface for selecting options and format
  • Report Templates: Different designs based on purpose
  • History Viewer: Progress and comparison graphs
  • Share Options: Integration with email and storage services

Technical Implementation

// Simplified example of the report generator
class ReportGenerator {
  constructor(analysisData, options) {
    this.data = analysisData;
    this.options = this.mergeWithDefaultOptions(options);
    this.templates = this.loadTemplates();
  }
  
  generateReport(format) {
    switch(format) {
      case 'pdf':
        return this.generatePDFReport();
      case 'html':
        return this.generateHTMLReport();
      case 'csv':
        return this.generateCSVReport();
      default:
        throw new Error('Unsupported format');
    }
  }
  
  generatePDFReport() {
    // Create report structure
    // Apply style and formatting
    // Generate visualizations
    // Include recommendations
    // ...
  }
  
  // Methods for different formats and options
  // ...
}

Report Types

  1. Executive Report:
    • Concise summary for managers and clients
    • Overall score and comparisons
    • Main findings and recommendations
    • Progress graphs
  2. Technical Report:
    • Detailed analysis of all factors
    • HTML code with issues and solutions
    • Step-by-step implementation instructions
    • References to technical documentation
  3. Progress Report:
    • Comparison with previous analyses
    • Implemented improvements and their impact
    • Prioritized pending tasks
    • Potential benefit estimation

Technical Requirements

  • PDF document generator with support for styles and graphics
  • HTML template system for web reports
  • Data export mechanism for structured data
  • Secure storage of analysis history
  • API for sharing reports (email, link, etc.)

Use Cases

  1. Client Reports: An SEO agency generates professional reports for their clients.
  2. Internal Documentation: A development team maintains a record of implemented SEO improvements.
  3. Value Demonstration: A freelance uses reports to show the impact of their work.

7. Competitor SEO Analysis

Description

Functionality that allows analyzing and comparing the SEO performance of the current page with direct competitors. Provides insights on successful strategies, optimization gaps, and opportunities to outperform competitors.

Features

  • Automatic identification of potential competitors
  • Comparative analysis of key SEO factors
  • Detection of keywords used by competitors
  • Evaluation of content and structure strategies
  • Comparative performance and user experience
  • Recommendations based on competitive analysis
  • Tracking of changes in competitor sites

User Interface Components

  • Competitor Selector: Interface for adding and managing sites to compare
  • Comparative Dashboard: Visual side-by-side comparison of key metrics
  • Gap Analysis: Identification of areas where competitors outperform the current site
  • Keyword Tracker: Keywords used by competitors not present in the current site

Technical Implementation

// Simplified example of the competitor analyzer
class CompetitorAnalyzer {
  constructor(currentSiteData) {
    this.currentSite = currentSiteData;
    this.competitors = [];
    this.comparisonResults = {};
  }
  
  addCompetitor(url) {
    // Analyze competitor site
    const competitorData = this.analyzeSite(url);
    this.competitors.push(competitorData);
    return competitorData;
  }
  
  compareWithCompetitors() {
    // For each relevant metric, compare with competitors
    this.comparisonResults = {
      contentStrategy: this.compareContentStrategy(),
      technicalSEO: this.compareTechnicalFactors(),
      keywordCoverage: this.compareKeywordUsage(),
      userExperience: this.compareUserExperience(),
      // ...
    };
    
    return this.comparisonResults;
  }
  
  // Specific methods for different comparisons
  // ...
}

Compared Factors

  1. Content Strategy:
    • Length and depth of content
    • Structure and format
    • Frequency of updates
    • Content types (text, video, infographics, etc.)
  2. Technical Factors:
    • Loading speed
    • Mobile optimization
    • HTML structure
    • Structured data implementation
  3. Keyword Strategy:
    • Main and secondary keywords
    • Density and positioning
    • Semantic-related terms
    • Search intent covered
  4. Authority and Links:
    • Internal link structure
    • External link strategy
    • Authority presence
    • Anchor text usage

Technical Requirements

  • API for basic site analysis
  • SEO comparison algorithms
  • System for identifying keywords
  • Ability to detect gaps and opportunities
  • Visual interface for clear and actionable comparisons

Use Cases

  1. Market Research: A business evaluates SEO strategies of its direct competitors.
  2. Strategic Planning: A marketing specialist identifies opportunities not exploited by competitors.
  3. Benchmarking: A website measures its SEO performance against industry leaders.

8. Integration with Google Search Console

Description

Connects the extension with the Google Search Console API to provide real-time performance data from searches, complementing on-page analysis with behavior data from search results.

Features

  • Secure connection with Google Search Console account
  • Visualization of impressions and clicks for the analyzed URL
  • Average position data in search results
  • Analysis of keywords generating traffic
  • Identification of opportunities for improvement based on real data
  • Tracking of changes in performance after implementing improvements
  • Alerts for problems detected by Google

User Interface Components

  • Authentication Panel: To connect with Google Search Console
  • Performance Dashboard: Graphs and metrics of performance in searches
  • Query Analyzer: Keywords generating impressions and clicks
  • Position Tracker: Tracking changes in ranking

Technical Implementation

// Simplified example of Google Search Console integration
class SearchConsoleIntegration {
  constructor(apiCredentials) {
    this.credentials = apiCredentials;
    this.api = this.initializeAPI();
    this.data = {};
  }
  
  async authenticate() {
    // Authenticate with Google API
    // ...
  }
  
  async fetchPerformanceData(url, dateRange) {
    // Get performance data for the specific URL
    const response = await this.api.performanceReport({
      url: url,
      startDate: dateRange.start,
      endDate: dateRange.end,
      dimensions: ['query', 'device', 'page', 'date']
    });
    
    this.data.performance = this.processPerformanceData(response);
    return this.data.performance;
  }
  
  // Methods for different types of data and analysis
  // ...
}

Integrated Data

  1. Performance Metrics:
    • Impressions in search results
    • Clicks and CTR (Click-Through Rate)
    • Average position
    • Trends over time
  2. Query Analysis:
    • Keywords generating impressions
    • Terms with better and worse CTR
    • Opportunities for improving positions
    • Emerging keywords
  3. Technical Diagnostics:
    • Detected tracking issues
    • Index coverage errors
    • Mobile experience issues
    • Security or spam alerts
  4. Data-Based Recommendations:
    • Suggestions based on real behavior
    • Prioritization based on potential traffic
    • Corrections for problems detected by Google

Technical Requirements

  • Implementation of OAuth for Google authentication
  • API for connection with Google Search Console
  • Secure storage of credentials
  • Temporal data visualization systems
  • Algorithms for identifying opportunities in performance data

Use Cases

  1. Impact Evaluation: An SEO verifies if implemented changes improved real performance in searches.
  2. Keyword Discovery: An editor identifies terms not considered that already generate traffic.
  3. Problem Resolution: A webmaster detects and resolves problems reported by Google.

Technical Requirements

  • DOM structure analyzer to extract and classify content elements
  • Algorithms for evaluating hierarchy and relationships between elements
  • Readability analyzer with support for Spanish and other languages
  • SEO best practices knowledge base
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