Blogging and SEO Automation Strategy

By incorporating your specific requirements and using your provided workflow, this automation scenario effectively streamlines the article publishing process. It ensures that SEO optimization is deeply integrated from the outset, with focus keywords, related keyphrases, and synonyms influencing every step.

The scenario leverages advanced AI tools like GPT-4, Claude, and DALL·E to generate high-quality content and visuals. The inclusion of detailed SEO checks and optimizations increases the likelihood that all Yoast SEO indicators will turn green upon publishing the draft in WordPress.

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Do you need further details or adjustments on any specific part of this automation scenario?

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You:

1- I think, we need to make these steps in one and ask the chatgpt module to produce one single array containing all these parameters : Generate Related Keyphrases and Synonyms (Step 3) Generate SEO-Friendly Slug (Step 4) SEO optimized Title 2- when branching out after the router, add a fourth branch for the featured image dall-e maker and its optimization 3- when drafting the article, you didn’t stress on taking into account seo parameters keyphrase, related keyphrases, synonyms and all yoast prerequisites…

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ChatGPT:

Certainly! I’ll adjust the automation scenario based on your feedback:

1. Combine Steps: Merge the generation of related keyphrases, synonyms, SEO-friendly slug, and SEO-optimized title into a single ChatGPT module that outputs all these parameters in one array.
2. Add Fourth Branch: Introduce a fourth parallel branch in the “Phase 1: Research & Content Planning” for DALL·E image generation and optimization.
3. Emphasize SEO Parameters: Ensure that when drafting the article, SEO parameters—including the focus keyphrase, related keyphrases, synonyms, and all Yoast SEO prerequisites—are thoroughly integrated and emphasized.

Below is the updated automation scenario incorporating these changes.

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Updated Automation Scenario

Airtable Base Setup

Adjust the Airtable base to include the following fields:

1. Article Title (Text)
2. Focus Keyword/Keyphrase (Text)
3. SEO-Friendly Slug (Text)
4. Related Keyphrase 1 (Text)
5. Related Keyphrase 2 (Text)
6. Related Keyphrase 3 (Text)
7. Related Keyphrase 4 (Text)
8. Synonyms (Long Text)
9. SEO-Optimized Title (Text)
10. Status (Single Select: Pending, In Progress, Completed)
11. Outline (Long Text)
12. Generated Content (Long Text)
13. Perplexity Data (Long Text)
14. Meta Description (Text)
15. Featured Image URL (URL)
16. WordPress Post ID (Number)

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Overall Workflow Overview

The automation process will follow these phases, aligned with your flowchart and incorporating your feedback:

Phase 1: Research & Content Planning

• Initialize Content Creation
• Generate SEO Parameters (Combined into one step)
• Parallel Processing:
  • Perplexity Research Stream 1: Current Facts & Figures
  • Perplexity Research Stream 2: Recent Case Studies
  • GPT-4 Outline Creation
  • DALL·E Featured Image Generation (New fourth branch)

Phase 2: Content Generation

• Content Assembly
• GPT-4 Content Drafting with SEO Emphasis
• GPT-4 Enhancement

Phase 3: SEO Optimization

• Yoast AI Parameters
• SEO Checks:
  • Density Check
  • Structure Check
  • Meta Check
• Final Assembly

Phase 4: WordPress Integration

• WP Draft Creation
• Yoast SEO Update
• Status Update in Airtable

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Detailed Automation Scenario

Phase 1: Research & Content Planning

Step 1: Trigger Automation

• Trigger: New or updated record in Airtable with Status = “Pending”.

Step 2: Initialize Content Creation

• Module 1: Retrieve the new Airtable record.

Step 3: Generate SEO Parameters

Module 2: ChatGPT API Call to Generate SEO Parameters

• Action: Use ChatGPT to generate:
  • Up to 4 related keyphrases.
  • Up to 10 synonyms for the focus keyword.
  • An SEO-friendly slug.
  • An SEO-optimized title.
• Prompt Example: Based on the article title "[Article Title]" and focus keyword "[Focus Keyword]", generate the following: 1. Up to 4 closely related keyphrases relevant to the topic. 2. Up to 10 synonyms or variations of the focus keyword. 3. An SEO-friendly slug derived from the article title. 4. An SEO-optimized title that includes the focus keyword and is between 50-60 characters. Provide the output in the following JSON format: { "related_keyphrases": ["Keyphrase 1", "Keyphrase 2", "Keyphrase 3", "Keyphrase 4"], "synonyms": ["Synonym 1", "Synonym 2", ..., "Synonym 10"], "seo_slug": "seo-friendly-slug", "seo_title": "SEO Optimized Title" }
• Module 3: Parse JSON Output
  • Action: Parse the JSON response and extract the related keyphrases, synonyms, slug, and SEO title.
• Module 4: Update Airtable Record
  • Action: Populate the fields:
    • Related Keyphrase 1 to Related Keyphrase 4.
    • Synonyms (joined as a comma-separated string).
    • SEO-Friendly Slug.
    • SEO-Optimized Title.

Step 4: Parallel Processing

Module 5: Initialize Parallel Processing

• Action: Use Make.com’s “Router” feature to run the following modules in parallel:
  • Branch 1: Perplexity Research Stream 1—Current Facts & Figures
  • Branch 2: Perplexity Research Stream 2—Recent Case Studies
  • Branch 3: GPT-4 Outline Creation
  • Branch 4: DALL·E Featured Image Generation (New)

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Branch 1: Perplexity Research Stream 1—Current Facts & Figures

Module 6: Perplexity API Call for Facts & Figures

• Action: Query Perplexity for recent statistics related to the focus keyword and related keyphrases.
• Queries:
  • “Latest statistics on [Focus Keyword]”
  • For each related keyphrase: “Latest statistics on [Related Keyphrase]”
• Data Extraction:
  • Collect key facts, figures, and sources (URLs).

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Branch 2: Perplexity Research Stream 2—Recent Case Studies

Module 7: Perplexity API Call for Case Studies

• Action: Query Perplexity for recent case studies.
• Queries:
  • “Recent case studies on [Focus Keyword]”
  • For each related keyphrase: “Recent case studies on [Related Keyphrase]”
• Data Extraction:
  • Summarize case studies and collect sources (URLs).

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Branch 3: GPT-4 Outline Creation

Module 8: GPT-4 API Call for Outline

• Action: Generate an SEO-optimized article outline that incorporates the focus keyword, related keyphrases, and synonyms.
• Prompt Example: Using the following information: - Article Title: "[Article Title]" - Focus Keyword: "[Focus Keyword]" - Related Keyphrases: ["[Related Keyphrase 1]", "[Related Keyphrase 2]", "[Related Keyphrase 3]", "[Related Keyphrase 4]"] - Synonyms: ["[Synonym 1]", "Synonym 2", ..., "Synonym 10"] Create a detailed article outline with H2 and H3 headings. Ensure the focus keyword, related keyphrases, and synonyms are integrated naturally into headings and subheadings, following SEO best practices.
• Module 9: Update Airtable Record
  • Action: Save the outline to the Outline field.

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Branch 4: DALL·E Featured Image Generation

Module 10: Generate Image Prompt

• Action: Create a prompt for DALL·E.
• Prompt Example: Create a high-quality image representing "[Article Title]" with themes related to "[Focus Keyword]" and "[Related Keyphrases]". The image should be visually engaging and suitable as a featured image for a climate change blog post.

Module 11: Generate Image Using DALL·E

• Action: Use DALL·E API to generate the image.

Module 12: Optimize Image for SEO

• Action:
  • Compress the image for web use.
  • Rename the image file using the SEO-friendly slug: “[SEO-Friendly Slug]-featured-image.jpg”.
  • Generate alt text including the focus keyword and related keyphrases.
• Alt Text Example: "An illustration of [Focus Keyword], depicting [brief description], related to [Related Keyphrase 1] and [Related Keyphrase 2]."

Module 13: Update Airtable Record

• Action: Save the image URL to the Featured Image URL field.

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Phase 2: Content Generation

Step 5: Content Assembly

Module 14: Assemble Research Data

• Action: Compile data from:
  • Facts & Figures (Module 6)
  • Case Studies (Module 7)
  • Outline (Module 9)

Step 6: GPT-4 Content Drafting with SEO Emphasis

Module 15: GPT-4 API Call for Content Drafting

• Action: Generate the article, emphasizing SEO parameters.
• Prompt Example: Using the following outline and research data, write a comprehensive article: - **Outline**: [Insert Outline] - **Facts & Figures**: [List of Facts & Figures with Sources] - **Case Studies**: [Summaries of Case Studies with Sources] Incorporate the focus keyword "[Focus Keyword]", related keyphrases ["[Related Keyphrase 1]", ..., "[Related Keyphrase 4]"], and synonyms ["[Synonym 1]", ..., "[Synonym 10]"] throughout the article. Ensure the article: - Meets all Yoast SEO prerequisites. - Has the focus keyword in the first paragraph, headings, and conclusion. - Uses short paragraphs and sentences. - Includes transition words. - Is written in active voice. - Avoids keyword stuffing. - Integrates facts, figures, and case studies with proper citations and external links. Follow SEO best practices for content structure and readability.
• Module 16: Save Draft
  • Action: Save the draft to a variable for further processing.

Step 7: GPT-4 Enhancement

Module 17: GPT-4 API Call for Enhancement

• Action: Refine the draft to ensure it fully meets SEO criteria.
• Prompt Example: Review and enhance the following article to ensure it meets all Yoast SEO criteria and reads naturally. Here is the article: [Insert Draft] Make sure to: - Optimize keyword density for the focus keyword and related keyphrases. - Ensure proper use of synonyms. - Maintain a natural flow without over-optimization. - Correct any grammatical or stylistic issues.
• Module 18: Update Generated Content
  • Action: Save the enhanced article to the Generated Content field in Airtable.

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Phase 3: SEO Optimization

Step 8: Yoast AI Parameters

Module 19: Prepare for SEO Checks

• Action: Prepare parameters for SEO checks.

Step 9: SEO Checks

Module 20: Density Check (Keyphrase Optimization)

• Action: Analyze keyword density for focus keyword and related keyphrases.
• Method:
  • Calculate keyword frequencies.
  • Ensure densities are within Yoast recommended ranges (e.g., 0.5% to 2.5%).

Module 21: Structure Check (Header Optimization)

• Action: Verify proper heading structure and keyword inclusion.
• Check:
  • H1: Includes focus keyword.
  • H2/H3: Include related keyphrases and synonyms.

Module 22: Meta Check (Meta Description/Title)

• Action: Generate or verify meta description and SEO title.
• Prompt Example:
  • Meta Description: Write an SEO-friendly meta description for the article, including the focus keyword and related keyphrases, between 150-160 characters.
• Module 23: Update Airtable Record
  • Action: Save the meta description to the Meta Description field.

Step 10: Final Assembly

Module 24: Apply Adjustments

• Action: If any SEO issues are detected, use GPT-4 to adjust the content.
• Prompt Example: The following article requires adjustments to meet these SEO criteria: - [List of issues] Please make the necessary changes while maintaining natural readability. Article: [Insert Enhanced Article]
• Module 25: Update Generated Content
  • Action: Save the final article to the Generated Content field.

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Phase 4: WordPress Integration

Step 11: WP Draft Creation

Module 26: WordPress Create a Post

• Action: Create a new draft post with:
  • Title: SEO-optimized title from SEO-Optimized Title field.
  • Content: Final article from Generated Content field.
  • Slug: From SEO-Friendly Slug field.
  • Status: Draft.
  • Meta Fields:
    • Yoast SEO Focus Keyword: “[Focus Keyword]”
    • Yoast SEO Related Keyphrases: List of related keyphrases.
    • Meta Description: From Meta Description field.
  • Featured Image:
    • Upload the optimized featured image.
    • Set alt text as per Module 12.
  • Categories/Tags: Assign as appropriate.

Module 27: Upload Additional Images (If Any)

• Action: Upload any additional images and update their URLs in the content.

Step 12: Yoast SEO Update

Module 28: Yoast SEO Configuration

• Action: If possible via the WordPress REST API, set Yoast SEO settings for the post.

Step 13: Update Airtable Record

Module 29: Save WordPress Post ID

• Action: Save the WordPress Post ID to Airtable.
• Update: Set Status to “Completed”.

Step 14: Status Update and Notification

Module 30: Notify Team for Review

• Action: Send notification to the editorial team.

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Error Handling and Logging

Module 31: Error Handling

• Action: Implement error handling to catch and log issues.

Module 32: Logging

• Action: Maintain logs of each operation.

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Visual Workflow Mapping

Here’s how the steps align with your updated flowchart:

Phase 1: Research & Content Planning

• Airtable Base → Trigger Automation (Step 1)
• Initialize Content Creation (Step 2)
• Generate SEO Parameters (Step 3)
• Parallel Processing (Step 4)
  • Branch 1: Perplexity Research Stream 1 (Modules 6)
  • Branch 2: Perplexity Research Stream 2 (Modules 7)
  • Branch 3: GPT-4 Outline Creation (Modules 8-9)
  • Branch 4: DALL·E Featured Image Generation (Modules 10-13)

Phase 2: Content Generation

• Content Assembly (Module 14)
• GPT-4 Content Drafting with SEO Emphasis (Modules 15-16)
• GPT-4 Enhancement (Modules 17-18)

Phase 3: SEO Optimization

• Yoast AI Parameters (Module 19)
• SEO Checks (Modules 20-23)
• Final Assembly (Modules 24-25)

Phase 4: WordPress Integration

• WP Draft Creation (Module 26)
• Yoast SEO Update (Module 28)
• Status Update in Airtable (Module 29)
• Notify Team for Review (Module 30)

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Conclusion

By integrating your feedback:

1. Combined SEO Parameter Generation: We now generate related keyphrases, synonyms, SEO-friendly slug, and SEO-optimized title in a single ChatGPT module, streamlining the process and ensuring consistency.
2. Added Fourth Branch for DALL·E: Including the DALL·E image generation as a parallel process reduces total execution time and aligns with the initial research and planning phase.
3. Emphasized SEO Parameters in Content Drafting: The content drafting step now explicitly focuses on integrating SEO parameters, ensuring that the focus keyword, related keyphrases, synonyms, and Yoast SEO prerequisites are thoroughly incorporated.

This updated automation scenario enhances efficiency and effectiveness by ensuring that SEO considerations are deeply embedded throughout the content creation process.

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Do you need any further adjustments or details on any specific part of this automation scenario?

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You:

1- “synonyms”: [“Synonym 1”, “Synonym 2”, …, “Synonym 10”] must not be an array; otherwise we will struggle to parse them; all synonyms must be considered as one value; therefore, related_keyphrases, synonyms, seo_slug and seo_title are all combined in one single array 2- Which modules would you use to do all the sophisticated seo calculations and checkings of step 9?

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ChatGPT:

Certainly! I’ll address both of your points:

1. Adjusting the Output Format for Easier Parsing
2. Specifying the Modules for Sophisticated SEO Calculations and Checks in Step 9

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1. Adjusting the Output Format for Easier Parsing

Understanding Your Requirement:

• You want the synonyms to be a single string value rather than an array to simplify parsing.
• You prefer that all the SEO parameters—related_keyphrases, synonyms, seo_slug, and seo_title—are combined in one single JSON object.

Adjusting the Output Format:

We will modify the ChatGPT prompt and expected output to reflect this requirement.

Updated Prompt for ChatGPT Module:

Based on the article title "[Article Title]" and focus keyword "[Focus Keyword]", generate the following SEO parameters:

1. **Related Keyphrases**: Up to 4 closely related keyphrases relevant to the topic, separated by semicolons.
2. **Synonyms**: Up to 10 synonyms or variations of the focus keyword, separated by semicolons.
3. **SEO-Friendly Slug**: An SEO-friendly slug derived from the article title.
4. **SEO-Optimized Title**: An SEO-optimized title that includes the focus keyword and is between 50-60 characters.

Provide the output in the following JSON format:

{
  "related_keyphrases": "Keyphrase 1; Keyphrase 2; Keyphrase 3; Keyphrase 4",
  "synonyms": "Synonym 1; Synonym 2; Synonym 3; Synonym 4; Synonym 5; Synonym 6; Synonym 7; Synonym 8; Synonym 9; Synonym 10",
  "seo_slug": "seo-friendly-slug",
  "seo_title": "SEO Optimized Title"
}

Explanation:

• Synonyms and Related Keyphrases: Instead of arrays, they are now strings with items separated by semicolons.
• Combined into a Single JSON Object: All parameters are included in one object for easier parsing.

Parsing the Output:

• Use the JSON Parse function in Make.com to parse the JSON object.
• For the synonyms and related_keyphrases, use the Text Split function to split the strings by semicolons into lists if needed.
• Store the values directly into the Airtable fields.

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2. Modules for Sophisticated SEO Calculations and Checks in Step 9

Understanding Your Requirement:

• You need to know which specific modules can be used to perform the sophisticated SEO calculations and checks outlined in Step 9 of the automation scenario.

Modules to Use for SEO Calculations and Checks:

Module 19: Prepare for SEO Checks

• No specific module: This is a preparatory step.

Module 20-25: SEO Checks and Adjustments

To perform the sophisticated SEO calculations and checks, we’ll use a combination of the following modules:

1. OpenAI GPT-4 Module (via HTTP or a dedicated OpenAI module)
2. Make.com Text Tools
3. Code Module (JavaScript)

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Detailed Breakdown:

A. OpenAI GPT-4 Module

Usage:

• Function: Leverage GPT-4’s advanced language capabilities to analyze and adjust content based on SEO criteria.
• Modules: Use the HTTP module to make API calls to OpenAI’s GPT-4 or use a dedicated OpenAI module if available in Make.com.

Applications in Step 9:

• Density Check: Ask GPT-4 to analyze the keyword density and provide feedback.
• Structure Check: Request GPT-4 to verify heading structures and inclusion of keywords.
• Meta Check: Generate or validate meta descriptions and titles.
• Adjustments: Use GPT-4 to rewrite sections to meet SEO guidelines.

Example Prompt for GPT-4:

Please analyze the following article for SEO optimization based on these criteria:

- Ensure the focus keyword "[Focus Keyword]" has a keyword density between 0.5% and 2.5%.
- Related keyphrases ("[Related Keyphrase 1]", "[Related Keyphrase 2]", etc.) should be naturally integrated.
- Synonyms should be used to enhance content richness.
- Check that headings (H1, H2, H3) include relevant keywords.
- Verify that the meta description and title are optimized.

Provide feedback on any issues and suggest specific adjustments.

Article:
[Insert Article Content]

B. Make.com Text Tools

Usage:

• Function: Utilize built-in text manipulation and analysis tools within Make.com.
• Modules: Use the Text Parser, Text Aggregator, and Text Functions modules.

Applications in Step 9:

• Keyword Density Calculation:
  • Use the Text Parser module to count occurrences of the focus keyword and related keyphrases.
  • Calculate keyword density using a formula: Keyword Density (%) = (Number of Times Keyword Appears / Total Number of Words) * 100
• Structure Verification:
  • Use the Text Parser to extract headings and verify the inclusion of keywords.
• Meta Data Verification:
  • Ensure the meta description and title meet length requirements.

Example Workflow:

• Step 1: Use Text Parser to tokenize the article content into words.
• Step 2: Count the total number of words.
• Step 3: Count occurrences of the focus keyword and related keyphrases.
• Step 4: Calculate keyword density.
• Step 5: If densities are outside the desired range, flag for adjustment.

C. Code Module (JavaScript)

Usage:

• Function: Write custom JavaScript code to perform complex text analysis not covered by built-in modules.
• Module: Use the Code module in Make.com, which supports JavaScript.

Applications in Step 9:

• Advanced Keyword Density Analysis:
  • Account for word variations and synonyms.
  • Ignore keyword occurrences in code blocks or quotations.
• Readability Analysis:
  • Calculate readability scores (e.g., Flesch-Kincaid).
  • Ensure sentences are of appropriate length.
• Heading Structure Verification:
  • Parse the article content to extract heading tags.
  • Verify that headings follow proper hierarchy (H1, H2, H3).

Example Code Snippet:

// Input variables
let articleContent = inputData.articleContent;
let focusKeyword = inputData.focusKeyword;
let relatedKeyphrases = inputData.relatedKeyphrases.split(';').map(k => k.trim());
let synonyms = inputData.synonyms.split(';').map(s => s.trim());

// Calculate total word count
let totalWords = articleContent.split(/\s+/).length;

// Function to count keyword occurrences
function countOccurrences(text, keyword) {
  let regex = new RegExp('\\b' + keyword + '\\b', 'gi');
  return (text.match(regex) || []).length;
}

// Count occurrences for focus keyword
let focusKeywordCount = countOccurrences(articleContent, focusKeyword);

// Calculate keyword density
let focusKeywordDensity = (focusKeywordCount / totalWords) * 100;

// Output results
outputData = {
  totalWords: totalWords,
  focusKeywordCount: focusKeywordCount,
  focusKeywordDensity: focusKeywordDensity.toFixed(2)
};

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Combining the Modules:

• Initial Analysis:
  • Use the Code Module to perform quantitative analysis (e.g., keyword density).
  • Use Text Tools for basic parsing and manipulation.
• Qualitative Feedback:
  • Use OpenAI GPT-4 Module to get nuanced feedback on content quality, readability, and SEO compliance.
• Adjustments:
  • Based on the analysis, decide whether to:
    • Automatically Adjust: Use GPT-4 to rewrite or tweak content.
    • Flag for Manual Review: If certain issues cannot be resolved automatically.

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Example Workflow for Step 9:

1. Keyword Density Calculation:
   • Code Module calculates the density of the focus keyword and related keyphrases.
   • If densities are outside Yoast’s recommended ranges, the content is flagged.
2. Heading Structure Verification:
   • Text Parser extracts headings.
   • Code Module checks for proper hierarchy and keyword inclusion.
3. Meta Data Verification:
   • Text Tools check the length of the meta description and title.
   • Ensure inclusion of the focus keyword.
4. Readability and Style Analysis:
   • OpenAI GPT-4 Module assesses readability, sentence length, use of transition words, and active voice.
5. Adjustments:
   • If issues are found, use the OpenAI GPT-4 Module to adjust the content.
   • Provide specific prompts to guide the adjustments.

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Advantages of Using These Modules:

• Flexibility: Combining different modules allows for comprehensive analysis and adjustments.
• Automation: Minimizes the need for manual intervention.
• Advanced Analysis: Leverages AI capabilities for nuanced feedback.

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Final Notes

• API Rate Limits and Costs:
  • Be mindful of API usage limits for OpenAI.
  • Optimize prompts to reduce token usage and costs.
• Data Privacy:
  • Ensure compliance with data handling policies when sending content to external APIs.
• Testing and Validation:
  • Thoroughly test the automation to ensure accuracy.
  • Validate the outputs before deploying to production.