Get a Customized Website SEO Audit and Online Marketing Strategy and Action Plan

The purpose of this project is to use Artificial Intelligence (AI) and Hierarchical Clustering to analyze a website’s content, organize it into meaningful groups, and provide actionable recommendations to improve the content strategy.

Breaking Down the Purpose Step by Step

1. Organizing Website Content:
   • Websites often have many pages covering different topics. Sometimes, these pages are poorly organized, making it hard for users to navigate or for search engines to understand the structure.
   • This project helps organize the pages into clusters, where each cluster groups pages closely related in content or purpose. For example, all pages related to “Web Development Services” might be grouped into one cluster, while “Digital Marketing Services” pages might be grouped into another.
2. Using AI for Intelligent Analysis:
   • Instead of manually organizing pages (which can be time-consuming and prone to errors), the project uses AI to analyze the text content of each page automatically.
   • The AI reads the content, understands the main topics, and calculates how similar or different the pages are.
3. Creating Hierarchical Clusters:
   • The project uses Hierarchical Clustering, which visually shows how pages are related through a tree-like diagram called a dendrogram.
   • This clustering method doesn’t just group pages; it also shows the relationships between groups, helping you see which clusters are more closely related.
4. Improving Website Structure:
   • The clusters created by the model help improve the structure of the website. For example:
     • Grouping similar pages under a single menu or category.
     • Linking related pages to make navigation easier for users and help search engines understand the relationships between pages.
5. Providing Actionable Insights:
   • The project doesn’t stop at clustering pages. It also provides recommendations to:
     • Link pages within the same cluster: For example, link “Web Development Services” with “Website Maintenance Services.”
     • Identify content gaps: If a cluster contains only one page, the project suggests creating more content to strengthen that topic.
     • Optimize categories or menus: For example, create a “Digital Marketing” category for pages grouped in the “Digital Marketing Services” cluster.
6. Boosting SEO and User Experience:
   • A well-organized website makes ranking your pages easier for search engines because it clearly shows the relationships between content.
   • Visitors to your website will also find it easier to navigate, improving their overall experience and encouraging them to stay longer.

Who Will Benefit from This Project?

• Website Owners:
  They can organize their content more effectively, leading to better user engagement and higher search engine rankings.
• Digital Marketing Professionals:
  They can use the recommendations to improve SEO strategies and internal linking structures.
• Web Developers and Designers:
  Based on the clustering results, they can create better website menus, categories, and navigational structures.
• Businesses:
  A well-organized website can increase conversions by guiding users to relevant content faster.

How Does This Project Achieve Its Purpose?

1. Data Collection:
   The project collects the content of each page from the website.
2. Content Analysis:
   Using AI-powered techniques like TF-IDF (Term Frequency-Inverse Document Frequency), the project analyzes the importance of different words and phrases on each page.
3. Hierarchical Clustering:
   The content is grouped into clusters based on similarity, with relationships visualized through a dendrogram.
4. Actionable Insights:
   The project provides clear recommendations for internal linking, category organization, and content creation based on the clustering results.

Simplified Example to Understand the Purpose

Let’s say you own a website with 20 pages. These pages cover topics like web development, app development, SEO, digital marketing, and more. Right now, the pages are scattered, and visitors struggle to find what they need.

Here’s how this project helps:

• Step 1: It reads the content of all 20 pages.
• Step 2: It groups the pages into clusters. For example:
  • Cluster 1: “Web Development,” “Website Maintenance,” “Web Design.”
  • Cluster 2: “SEO Services,” “Competitor Analysis.”
  • Cluster 3: “Social Media Marketing,” “Branding Services.”
• Step 3: It provides actionable insights:
  • Link pages within each cluster.
  • Create categories like “Web Services” and “Digital Marketing.”
  • Identify that “Bug Testing” is a standalone page and suggest creating related pages.

Key Outcomes of the Project

1. A Clear Website Structure:
   Your website will be better organized into categories or clusters, making it easier to navigate.
2. Improved SEO:
   Search engines will rank your pages higher because the site structure clearly shows relationships between content.
3. Content Strategy Optimization:
   You’ll know where to create new content to fill gaps and how to link related pages for better engagement.
4. Visual Clarity:
   The dendrogram gives you a visual map of how your website pages are related.

Hierarchical Clustering for Content Strategy

1. What is Hierarchical Clustering for Content Strategy?
Hierarchical clustering is a technique used to group similar items into a tree-like structure (called a hierarchy). For content strategy, this means organizing website content into meaningful groups based on their similarity. The goal is to improve the website’s structure, make content easier to navigate, and enhance user experience and SEO (search engine optimization).

2. What are its Use Cases and Real-Life Implementations?
Hierarchical clustering is used in various ways, such as:

• Grouping similar pages: For example, blog posts about similar topics can be grouped together.
• Improving internal linking: By linking related pages, users can navigate better and stay longer on the site.
• Optimizing content strategy: It helps identify gaps in content and suggests areas for improvement.
• E-commerce: Categorizing products into meaningful clusters (e.g., shoes, clothing, accessories) for better navigation.
• News websites: Organizing articles by topics like sports, politics, and entertainment.

3. How Does it Work in a Website Context?
For a website, hierarchical clustering works by analyzing the text content of your pages to find similarities. It could involve analyzing keywords, topics, or themes on each page. The model then groups pages that cover similar topics into clusters. For example, if your site has 500 pages, hierarchical clustering can identify clusters like “Technology,” “Health,” and “Finance,” with subcategories within each.

4. What Kind of Data Does it Need?
To perform hierarchical clustering, you need:

• Page content data: The text content from each page of your website (e.g., blog articles, product descriptions).
• Metadata: Titles, keywords, and categories of the pages.
• Optional: URLs: If extracting text automatically, the URLs of the pages can be used.

The data can either be in raw text form or organized in a CSV file, where each row represents a webpage and includes its URL, title, and text content.

5. Does it Require Webpage URLs or CSV Data?

• If you have URLs: You can use Python code to fetch (or “scrape”) the content from those URLs automatically.
• If you have CSV data: It’s easier because the content is already provided. No need to fetch anything manually.

6. What Output Does it Provide?
The hierarchical clustering model provides:

• Clustered groups: For example, it might group 500 webpages into 10 clusters based on their topics.
• Visual tree structure (Dendrogram): This is a diagram that shows how pages are grouped at different levels of similarity.
• Actionable insights: Suggestions for improving internal linking, optimizing categories, or identifying content gaps.

7. How Does it Enhance Content Strategy and Internal Linking?

• Improved structure: Helps organize your site by clustering similar content together, making navigation logical and user-friendly.
• Better internal linking: Pages within the same cluster can link to each other, boosting SEO and user engagement.
• Content gap identification: Shows areas where your website lacks sufficient content, helping you plan future posts.

Step-by-Step Process for Non-Technical Users

1. Prepare Data: Collect your webpage content. This can be done by:
   • Extracting text using webpage URLs (requires tools like Python for web scraping).
   • Using a CSV file with columns like “URL,” “Title,” and “Content.”
2. Process Data: The data is cleaned and prepared for analysis. Stopwords (common words like “and,” “the”) are removed, and important keywords are identified.
3. Run Clustering Model: The hierarchical clustering algorithm groups similar pages into clusters.
4. Analyze Output:
   • Dendrograms show how pages are grouped.
   • Lists of clusters and their pages help identify linking opportunities.
5. Action: Use the insights to:
   • Improve your website’s menu and navigation.
   • Update internal links to connect related pages.
   • Create new content to fill gaps in clusters.

1st Part : Data Collection and Scraping Content

Step-by-Step Explanation of the Code

Step 1: Import Necessary Libraries

·         What This Does:

• The requests library is used to fetch the content of webpages from the internet. Think of it as a tool that lets your computer “visit” a webpage and download its content.
• The BeautifulSoup library is used to read the HTML structure of a webpage. This helps extract specific parts of the page, like its title, description, and text.

·         Example:
Imagine you are browsing a website. requests is like typing the URL into your browser and loading the page. BeautifulSoup is like a magnifying glass that helps you pick specific elements from the page, such as the title or paragraphs.

Step 2: Define a List of URLs

·         What This Does:
This step creates a list of webpage URLs that you want to analyze. Each URL represents a page on your website whose content you want to scrape and cluster later.

·         Why This is Important:
You need a starting point for analysis. This list serves as the input for your program.

·         Example:
If you want to analyze pages like “Home,” “Services,” and “SEO Services,” you would list their URLs here. For example:

• Home: https://thatware.co/
• Services: https://thatware.co/services/
• SEO Services: https://thatware.co/advanced-seo-services/

Step 3: Function to Scrape Webpage Content

·         What This Does:
This function fetches and extracts specific content from a webpage:

1. HTML Content: Downloads the webpage using requests.
2. Title: Extracts the title (e.g., “Home – ThatWare”).
3. Meta Description: Extracts the description of the page from its metadata (if available).
4. Main Content: Collects all the visible text in <p> tags (paragraphs) on the page.

·         Why This is Important:
It collects meaningful information (text content) from the website, which will later be used for analysis.

·         Example:

• URL: https://thatware.co/
• Title: “ThatWare – Advanced SEO Services”
• Meta Description: “Offering top-notch SEO services to enhance your online presence.”
• Content: “Welcome to ThatWare. We offer advanced SEO services tailored to your business needs. Contact us today to learn more about how we can help grow your online presence.”

Step 4: Loop Through URLs and Scrape Data

• What This Does:
  This loop goes through each URL in the urls list and:
  1. Calls the scrape_content function to fetch the content for that URL.
  2. Stores the extracted information (title, description, content) in a structured format (dictionary).
• Why This is Important:
  It organizes all the data from the webpages in one place, making it easier to analyze later.
• Example:
  After this step, the data list might look like this:

Step 5: Output the Scraped Data

• What This Does:
  This step prints the scraped data for each webpage in a human-readable format.
• Why This is Important:
  This allows you to verify that the data has been collected correctly before proceeding to further analysis.
• Example Output:

 

2nd Part: Numerical Transformation and Clustering

Step-by-Step Explanation of the Code

Step 5: Convert Text Content into Numerical Format Using TF-IDF

·         What This Does:

• Converts the textual content of each webpage (already scraped) into numerical data using a method called TF-IDF (Term Frequency-Inverse Document Frequency).
• TF-IDF gives higher importance (weight) to unique words in a document and lower importance to commonly used words across all documents.
• The result is a numerical matrix where:
  • Rows represent webpages.
  • Columns represent words (features).
  • Values show how important each word is for a specific webpage.

·         Why This is Important:

• Computers cannot directly analyze text; they need numbers. This step converts text into a format suitable for mathematical analysis and clustering.

·         Example: Suppose the word “SEO” appears frequently on one webpage but not on others. TF-IDF assigns a higher weight to “SEO” for that page. On the other hand, words like “the” or “and,” which are common across all documents, get very low weights.

Output: Shape of the TF-IDF Matrix

• What This Does:
  • Prints the dimensions (shape) of the TF-IDF matrix to confirm that the text data has been successfully converted into numbers.
  • X.shape[0]: The number of rows, which equals the number of webpages.
  • X.shape[1]: The number of columns, which equals the number of unique words/features (limited to 1000).
• Example Output:

·         This means:

• There are 17 webpages (documents).
• Each webpage is represented by 1000 unique words (features).

Step 6: Perform Hierarchical Clustering

·         What This Does:

• Groups webpages into clusters based on their similarity.
• Uses a method called Ward’s Linkage, which ensures that pages within the same cluster have minimal variation.
• Produces a linkage matrix that stores information about how clusters are merged step by step.

·         Why This is Important:

• The clustering process identifies groups of similar webpages. This is critical for organizing content and improving the website’s structure.

·         Example: If two pages, “SEO Services” and “Digital Marketing,” have similar content (e.g., words like “SEO,” “marketing,” “services”), they are grouped into the same cluster.

Step 7: Visualize the Clustering Using a Dendrogram

·         What This Does:

• Creates a dendrogram, which is a tree-like diagram that shows how webpages are grouped into clusters.
• The x-axis shows the URLs of the webpages.
• The y-axis represents the dissimilarity between pages:
  • Shorter branches mean the pages are very similar.
  • Longer branches mean the pages are less similar.

·         Why This is Important:

• The dendrogram provides a visual representation of the clustering process.
• It helps identify logical groupings of pages, which can be used to create website categories or menus.

·         Example:

• Pages like “Website Development” and “Website Design” might be grouped into the same cluster because they share similar content.
• The dendrogram will show these pages connected by a short branch, indicating high similarity.

Output Explanation

1.    TF-IDF Matrix Output:

• Confirms that the text data has been converted into numerical format, with 17 webpages and 1000 unique words/features.

2. Dendrogram Visualization:
   • Displays a tree-like structure.
   • Short branches: Represent pages that are very similar (e.g., “SEO Services” and “Digital Marketing”).
   • Long branches: Represent pages that are less similar (e.g., “SEO Services” and “Bug Testing Services”).

3rd Part: Generating Actionable Insights

Step-by-Step Explanation of the Code

Step 8: Extract Clusters and Actionable Insights

• What Happens Here:
  • The dendrogram (tree structure from the previous step) is cut at a specific height (threshold = 1.0).
  • This creates distinct clusters, grouping similar pages together based on their content.
  • Each webpage is assigned a cluster ID (e.g., Cluster 1, Cluster 2).
• Why This is Important:
  • This step converts the visual output (dendrogram) into actionable clusters that can be used for further analysis.
• Example: Imagine the dendrogram shows 17 pages grouped into clusters:
  • Cluster 1: Pages A, B, C
  • Cluster 2: Pages D, E
  • Cluster 3: Pages F

After this step, the variable clusters contains an ID for each webpage:

• What Happens Here:
  • A dictionary is created to group pages by their cluster IDs.
  • For each webpage, its cluster ID determines which group it belongs to.
• Why This is Important:
  • Organizing pages by clusters helps analyze and identify themes.
• Example: If the clusters are [1, 1, 2, 2, 3] and the URLs are:

• What Happens Here:
  • The clusters and their URLs are printed for verification.
• Example Output:

·         Use Case:

• This output helps you see which pages were grouped together, confirming the clustering logic.

Step 9: Generate Actionable Insights

• What Happens Here:
  • For each cluster:
    • Multiple Pages (e.g., Cluster 1):
      • Suggest grouping these pages under a common theme.
      • Recommend improving internal linking between these pages.
      • Ensure consistent categories or menus.
    • Single Page Clusters (e.g., Cluster 3):
      • Highlight these as content gaps.
      • Suggest creating related content to expand the topic.
• Why This is Important:
  • Provides practical insights for improving the website’s structure, navigation, and SEO.
• Example Output:

Step 10: Summarize the Findings

• What Happens Here:
  • Summarizes the overall findings and recommendations from the clustering process.
• Why This is Important:
  • Provides stakeholders with a clear, concise action plan based on the clustering results.
• Example Output:

Part 1: Visual Representation of Clustering (Dendrogram)

• This part contains the Hierarchical Clustering Dendrogram, a visual representation of how the website pages are grouped into clusters.

What Does the Output Hierarchical Clustering Dendrogram Represent?

The output above is a dendrogram, a visual representation of how your website pages are grouped into clusters based on their content similarity. Below the dendrogram, you see a list of URLs, which are the web pages analyzed.

The dendrogram shows:

• Clusters of pages: Pages that are grouped together because their content is similar.
• Levels of similarity: The height of the horizontal lines in the graph indicates how similar the pages are. Shorter lines mean higher similarity.

The goal of this output is to:

1. Group related pages together into categories (clusters).
2. Help you understand relationships between pages for better content organization.
3. Suggest opportunities for improving internal linking, navigation, and SEO.

Detailed Explanation of the Dendrogram

1. Horizontal Lines:

• Each horizontal line connects two or more URLs (web pages). The lower the line, the more similar the pages.
• For example, two URLs connected by a very short horizontal line (close to the bottom) are very similar in content.

2. Vertical Lines:

• These lines represent the grouping process. Pages are merged into clusters as you move up the dendrogram.
• For example, if two small clusters are joined by a higher horizontal line, it means those clusters are less similar but are still grouped together.

3. Distance (Y-Axis):

• The Y-axis measures the “distance” or difference between clusters.
• Smaller distance = more similar pages.
• Larger distance = less similar pages.

What Do the URLs at the Bottom Represent?

The URLs at the bottom are the web pages from your website that were analyzed. Each URL corresponds to a page on your site, such as:

• Example:
  https://thatware.co/web-development-services/
  This is one of the pages analyzed. The dendrogram tells us which other pages it is most similar to.

Interpreting the Output

Let’s break it down into clusters (groups of pages):

1.    Identify Clusters:

• Look for pages connected by short horizontal lines. These are closely related.
• For example, in the dendrogram, https://thatware.co/web-development-services/ might be grouped with https://thatware.co/website-design-services/ because they both deal with similar topics (web services).

2.    Understand Hierarchy:

• At lower levels, you see small, tightly related clusters.
• As you go higher, smaller clusters merge into broader groups. This shows larger thematic relationships.

Insights and Next Steps

Cluster Identification:

• Cluster 1: Pages about development (app development, software development).
• Cluster 2: Pages about website services (web design, web development, website maintenance).
• Cluster 3: Pages about digital marketing (digital marketing, social media marketing).
• Cluster 4: General services (services, SEO, business intelligence).

Steps You Should Take

1. Group Pages by Theme:

• Create logical categories for your website based on the clusters.
• Example: Group pages in Cluster 2 under a category like “Web Services.”

2. Improve Internal Linking:

• Link pages within the same cluster. For example, link the “Web Development” page to the “Web Design” page.
• This helps users navigate and improves SEO.

3. Address Content Gaps:

• If a page appears as a standalone cluster (e.g., Competitor Analysis), create additional related content.

4. Ensure Consistency in Categories:

• Check if pages in the same cluster share consistent menus, tags, and categories. Update them if needed.

Why This Matters

1.    Improved User Experience:
Organized content helps users navigate your site easily.

2.    Better SEO:
Linking related pages and grouping them into categories makes it easier for search engines to understand your site.

3.    Actionable Content Strategy:
The output tells you where you need to create new content or reorganize existing content.

Part 2: Grouped Pages by Cluster

• This part shows the Clustered Pages, listing which URLs belong to which cluster.

What Does This Output Represent?

The output is the result of applying hierarchical clustering to the website’s pages. It groups similar pages together based on their content and metadata. These groups, or clusters, are formed based on the relationships between the content on different pages.

Here’s a breakdown of what this output means:

• Each cluster contains pages that are closely related in terms of topics or themes.
• The goal of clustering is to group related pages together so you can organize your website better, improve internal linking, and identify content gaps.
• For example, pages about “digital marketing” are grouped into one cluster, while pages about “software development” are in another cluster.

Explanation of the Output

Let’s go through the output cluster by cluster:

Cluster 4:

• What It Means: These pages are about general services offered by the website. The main page (thatware.co) and its subpages like “services” and “SEO services” are closely related.
• What to Do:
  1. Group these pages under a single category, like “Our Services.”
  2. Create internal links between these pages. For example, on the “Services” page, link to “SEO services” and “Business Intelligence Services.”
  3. Ensure these pages are logically grouped in your website’s menu or navigation.

Cluster 3:

• What It Means: These pages are focused on digital marketing. They cover branding, social media marketing, and general digital marketing services.
• What to Do:
  1. Group these pages into a “Digital Marketing” category.
  2. Link these pages to one another. For example, on the “Digital Marketing Services” page, provide links to “Branding” and “Social Media Marketing.”
  3. Add a subcategory on your site menu called “Digital Marketing.”

Cluster 5:

• What It Means: This page is standalone and focuses on a very specific service: content proofreading.
• What to Do:
  1. Identify if there are related pages that might belong to this cluster. If not, this indicates a content gap.
  2. Consider creating related pages, like “Content Writing Services” or “Editing Services,” to make this a complete category.
  3. Link this page to other service pages to improve navigation.

Cluster 2:

• What It Means: These pages are about website development and maintenance. They form a cluster because they share a common theme of “Web Services.”
• What to Do:
  1. Group these pages under a category called “Web Services.”
  2. Create internal links between these pages. For example, on the “Web Development” page, link to “Website Maintenance.”
  3. Consider adding these to your navigation menu.

Cluster 1:

• What It Means: These pages focus on development services, specifically software and app development.
• What to Do:
  1. Group these pages under a “Development Services” category.
  2. Link them internally. For example, mention “App Development” on the “Software Development” page and link to it.
  3. Consider creating a broader “Development Services” landing page to describe these services.

Cluster 6:

• What It Means: This page is standalone and focuses on bug testing services. It doesn’t currently have related content.
• What to Do:
  1. This is a content gap. Consider creating related pages, like “Quality Assurance Services” or “Testing Methodologies,” to expand this cluster.
  2. Link this page to other development-related pages to connect it to the broader theme.

Cluster 7:

• What It Means: This page is standalone and focuses on a specific SEO service: competitor keyword analysis.
• What to Do:
  1. This is another content gap. Create related pages, like “Keyword Research Services” or “SEO Tools,” to form a cluster.
  2. Link this page to broader SEO-related pages (e.g., “Advanced SEO Services”).

Key Takeaways from the Output

1.    Clusters Represent Themes:
Each cluster groups related pages. For example, Cluster 3 groups digital marketing-related pages, while Cluster 2 groups website-related services.

2.    Actionable Steps for Each Cluster:

• Internal Linking: Pages within the same cluster should link to one another.
• Category Creation: Create website categories based on clusters, such as “Digital Marketing” or “Web Services.”
• Content Gaps: Standalone pages like “Bug Testing” and “Competitor Analysis” highlight areas where you could create more content.

3.    Improving User Experience:
By organizing your website based on these clusters, users will find it easier to navigate. Search engines will also better understand your site’s structure, improving your SEO rankings.

Next Steps for Website Owner

1. Review Clusters: Look at each cluster and confirm whether the grouped pages logically belong together.
2. Implement Internal Links: Update your website so that pages within the same cluster link to each other.
3. Create Categories: Add new categories (e.g., “Web Services,” “Digital Marketing”) to your site structure.
4. Fill Content Gaps: Create new content for standalone pages to strengthen your clusters.
5. Revisit Dendrogram: Use the dendrogram to visually confirm how pages are grouped and make refinements as needed.

Part 3: Actionable Insights for Clusters

• This part provides Actionable Insights, which include recommendations for internal linking, category optimization, and identifying content gaps for each cluster.

What Is This Output About?

This output provides actionable insights derived from the hierarchical clustering model. The clustering model grouped similar pages on your website into clusters based on their content. The actionable insights suggest practical steps to optimize your website structure and content strategy, including:

1. Grouping Pages into Themes: Identifying a central topic or theme for each cluster of pages.
2. Improving Internal Linking: Recommending links between pages in the same cluster to make navigation easier and boost SEO.
3. Optimizing Categories or Menus: Ensuring that pages in the same cluster are grouped logically in your website’s categories or menus.
4. Identifying Content Gaps: Highlighting clusters with only one page and suggesting related content to fill those gaps.

This output serves as a roadmap for improving website structure, navigation, and content.

Detailed Explanation of the Output

For Cluster 4

·         What Does It Mean?

• This cluster includes pages like homepage (thatware.co) and services page (thatware.co/services). These pages are related because they provide general information about website and its offerings.
• The suggested theme indicates that these pages can be grouped under a category like “Our Services”.

·         What Should You Do?

1.            Add links between these pages. For example, your homepage should link to the services page and vice versa.

2. Ensure that both pages are part of a Services menu or category for consistency.

·         Use Case:
Users visiting your homepage or services page will find it easier to navigate your website if these pages are interlinked and logically grouped.

For Cluster 3

·         What Does It Mean?

• This cluster includes pages related to digital marketing, such as digital-marketing-services and branding-press-release-services. These pages share a common theme and should be grouped together.

·         What Should You Do?

1.            Create a category or menu called Digital Marketing and include these pages in it.

2. Add links between these pages. For example, the digital marketing page should link to the branding page, and vice versa.

·         Use Case:
Users interested in digital marketing services will find it easier to discover related services if these pages are grouped and interlinked.

For Cluster 5

·         What Does It Mean?

• This cluster contains only one page. This indicates a content gap—there aren’t enough related pages to form a meaningful group.

·         What Should You Do?

1.            Analyze the content of the page in this cluster.

2. Create additional related pages. For example, if the page is about Content Proofreading Services, you could add pages about Content Editing Services or Content Writing Tips.

·         Use Case:
Expanding this cluster will help your website cover the topic more comprehensively and improve its SEO ranking.

For Cluster 2

·         What Does It Mean?

• This cluster includes pages about web design and development. These pages are closely related and should be grouped together under a theme like Web Services.

·         What Should You Do?

1.            Create a Web Services category or section on your website.

2. Link these pages to one another. For example, the web design page should link to the web development page, and vice versa.

·         Use Case:
Users looking for website services will find it easier to navigate if these pages are grouped logically and interlinked.

For Cluster 1

·         What Does It Mean?

• This cluster includes pages related to software and app development. These pages should be grouped together and interlinked to form a cohesive section.

·         What Should You Do?

1.            Create a Development Services category and include these pages in it.

2. Link these pages to one another. For example, the app development page should link to the software development page.

·         Use Case:
Users interested in development services will find it easier to navigate if these pages are grouped and linked.

For Cluster 6

·         What Does It Mean?

• Similar to Cluster 5, this cluster contains only one page, indicating a content gap.

·         What Should You Do?

1.            Analyze the content of this page.

2. Create related pages to form a meaningful group.

·         Use Case:
Expanding this cluster will help improve topical coverage and navigation.

For Cluster 7

·         What Does It Mean?

• This is another single-page cluster, indicating a content gap.

·         What Should You Do?

1.            Analyze the page and identify related topics.

2. Create additional pages to expand the cluster.

·         Use Case:
Filling this content gap will improve your site’s SEO and user experience.

Summary of Actionable Steps

1.    Group Pages into Themes:
Create categories like Our Services, Digital Marketing, and Web Services to organize pages into logical sections.

2.    Improve Internal Linking:
Add links between pages within the same cluster to improve navigation and SEO.

3.    Fill Content Gaps:
For single-page clusters, create additional related pages to expand the topics.

4.    Optimize Menus:
Ensure pages in the same cluster have consistent categories and appear logically in your website menus.

Final Thoughts

This output provides a detailed roadmap for improving website structure and content strategy. By implementing the suggested themes, internal linking, and category optimization, you can enhance user experience and SEO performance.

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Tuhin Banik

Thatware | Founder & CEO

Tuhin is recognized across the globe for his vision to revolutionize digital transformation industry with the help of cutting-edge technology. He won bronze for India at the Stevie Awards USA as well as winning the India Business Awards, India Technology Award, Top 100 influential tech leaders from Analytics Insights, Clutch Global Front runner in digital marketing, founder of the fastest growing company in Asia by The CEO Magazine and is a TEDx speaker.

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