SEO Keywords

9 min read

Updated 2 days ago

SEO Keywords

Overview

The SEO Keywords module provides comprehensive keyword research, analysis, and management tools to optimize your content's search engine performance. It leverages advanced algorithms including TF-IDF (Term Frequency-Inverse Document Frequency) analysis to help you identify optimal keywords, analyze keyword density, and discover content opportunities for better search rankings.

Accessing SEO Keywords

Navigation Path: Dashboard > SEO System > SEO Keywords
Required Permission: blog.view
URL: /admin/seo/keywords

Key Features

Keyword Research Tools: Advanced keyword analysis and suggestion algorithms
TF-IDF Analysis: Scientific approach to keyword density optimization
Keyword Gap Analysis: Identify posts missing focus keywords
Density Analysis: Monitor keyword density across all content
Usage Statistics: Track keyword performance and usage patterns
Related Keywords: Discover semantically related keyword opportunities
Bulk Operations: Manage keywords across multiple posts efficiently
Competition Analysis: Understand internal keyword competition

Main Interface

Page Header

The keywords page provides:

Page Title: "Keyword Research" with management subtitle
Refresh Button: Update data and clear caches
Real-time Statistics: Live keyword usage metrics

Statistics Dashboard

Four key metrics provide keyword usage overview:

Total Keywords

Display: Count of unique focus keywords in use
Purpose: Shows keyword diversity across content
Icon: Key symbol indicating keyword management

Posts with Keywords

Display: Number of posts with assigned focus keywords
Coverage Percentage: Percentage of total posts with keywords
Purpose: Tracks keyword assignment progress

Missing Keywords

Display: Count of posts without focus keywords
Purpose: Identifies optimization opportunities
Action: Direct link to posts needing keywords

Keyword Gaps

Display: Number of content gaps identified
Purpose: Shows opportunities for new content
Analysis: Based on keyword research algorithms

Keyword Research Tools

Top Keywords Analysis

Table showing most frequently used focus keywords:

Columns

Keyword: The focus keyword text with tag icon
Usage Count: Number of posts using this keyword (with badge)
Actions: Research button for detailed analysis

Features

Usage Tracking: Monitor which keywords are most popular
Research Access: Click "Research" for detailed keyword analysis
Visual Indicators: Color-coded badges for usage frequency

Keyword Research Modal

Detailed analysis popup for individual keywords:

Research Data

Usage Statistics: How many posts use this keyword
Related Posts: List of posts targeting this keyword
Related Keywords: Semantically similar keyword suggestions
Competition Analysis: Internal competition assessment

Analysis Features

Similarity Scoring: Algorithm-based keyword relationship analysis
Usage Patterns: Historical usage trends
Optimization Suggestions: Recommendations for keyword strategy

Keyword Gap Analysis

Missing Keywords Table

Identifies posts without focus keywords:

Columns

Post Title: Title of the post missing keywords
Category: Content category with badge styling
Actions: "Edit Post" link for immediate optimization

Strategic Value

Quick Wins: Easy optimization opportunities
Coverage Improvement: Increase keyword assignment percentage
SEO Enhancement: Improve overall content optimization

Gap Identification Algorithm

The system identifies gaps by:

Database Query: Posts with NULL focus_keyword field
Category Analysis: Distribution of gaps across categories
Priority Scoring: Based on post performance and potential

Keyword Density Analysis

Density Distribution

Visual breakdown of keyword density across content:

Density Categories

Optimal (1-3%): Green - Ideal keyword density range
Too Low (<1%): Yellow - Insufficient keyword presence
Too High (>3%): Red - Risk of keyword stuffing
Average Density: Blue - Overall content average

Analysis Algorithm

Keyword Density = (Keyword Count / Total Word Count) × 100

Optimization Guidelines

Target Range: 1-3% for optimal SEO performance
Natural Usage: Keywords should appear naturally in content
Avoid Stuffing: Excessive density can harm rankings

Advanced Keyword Analysis

TF-IDF Analysis

Term Frequency-Inverse Document Frequency analysis for keyword optimization:

TF-IDF Components

Term Frequency (TF): How often a keyword appears in a document
Inverse Document Frequency (IDF): How rare the keyword is across all documents
TF-IDF Score: Combined score indicating keyword importance

Applications

Keyword Suggestions: Identify important terms in content
Content Optimization: Optimize existing content for better keywords
Competitive Analysis: Compare keyword usage across posts

BM25 Relevance Scoring

Advanced relevance algorithm for keyword analysis:

BM25 Features

Relevance Scoring: Measure how well content matches keywords
Document Length Normalization: Account for content length variations
Saturation Handling: Prevent over-optimization penalties

Optimization Suggestions

Content Improvements: Specific recommendations for keyword usage
Placement Optimization: Where to place keywords for maximum impact
Semantic Enhancement: Related terms to improve content relevance

Keyword Research Functions

Keyword Suggestions API

Automated keyword extraction from content:

Input Parameters

Content: Text content to analyze
Limit: Number of keyword suggestions to return (default: 10)

Output

Ranked Keywords: Keywords sorted by TF-IDF importance
Relevance Scores: Numerical scores for each keyword
Usage Recommendations: How to implement suggested keywords

Related Keywords Discovery

Find semantically related keywords:

Similarity Algorithm

Similarity = Intersection(Words1, Words2) / Union(Words1, Words2)

Features

Semantic Analysis: Find conceptually related terms
Usage Patterns: How related keywords are used across content
Opportunity Identification: Gaps in related keyword coverage

Keyword Performance Tracking

Usage Statistics

Monitor keyword performance across content:

Metrics Tracked

Usage Count: How many posts use each keyword
Performance Correlation: Relationship between keywords and SEO scores
Trend Analysis: Keyword usage patterns over time

Competition Analysis

Understand internal keyword competition:

Competition Metrics

Internal Competition: How many posts target the same keyword
Difficulty Assessment: Estimated optimization difficulty
Cannibalization Risk: Potential for keyword cannibalization

Keyword Prominence Analysis

Placement Analysis

Analyze where keywords appear in content:

Prominence Factors

In Title: Keyword presence in post title
In Meta Description: Keyword in meta description
In First Paragraph: Keyword in opening content
In Headings: Keyword in H1-H6 tags

Optimization Recommendations

Title Optimization: Include keywords in titles when natural
Meta Description: Ensure keywords appear in meta descriptions
Content Structure: Place keywords in prominent content positions

Bulk Keyword Operations

Mass Keyword Assignment

Efficiently manage keywords across multiple posts:

Bulk Operations

Keyword Assignment: Add keywords to multiple posts
Keyword Updates: Change keywords across related content
Gap Filling: Automatically suggest keywords for posts without them

Batch Analysis

Analyze multiple posts simultaneously:

Analysis Features

Density Checking: Bulk keyword density analysis
Prominence Review: Check keyword placement across posts
Optimization Scoring: Bulk SEO score impact assessment

API Endpoints

Keyword Analysis API

Programmatic access to keyword analysis:

Available Endpoints

POST /admin/seo/keywords/analyze: Analyze keywords for specific post
POST /admin/seo/keywords/suggestions: Get keyword suggestions for content
POST /admin/seo/keywords/research: Research specific keyword data

Request/Response Format

{
  "keyword": "example keyword",
  "density": 2.5,
  "prominence": {
    "in_title": true,
    "in_meta_description": false,
    "in_first_paragraph": true,
    "in_headings": false
  },
  "relevance": 0.85,
  "suggestions": ["related keyword 1", "related keyword 2"]
}