Generate Blog Posts

Step 1: Create a New Collection

Start by creating a new collection, which will serve as a central location for organizing and generating blog content. Think of each collection as a master document that holds the outline and specifications for individual blog posts.

From your main account or collections dashboard, select New Collection.
Name the collection according to your blog topic or campaign, for example, “Remote Work Productivity Tips.”
Group similar blog post structures into collections, such as "Listicles" or "Product Updates," to maintain an organized workspace and streamline the content creation process for each type of post.

Step 2: Add the Relevant Fields

Once your collection is set up, add specific fields that the AI will use to generate content. These fields serve as the framework for each blog post, guiding AI output and ensuring consistent quality.

Suggested fields include:

Topic: Include the primary topic or keywords for SEO, like “remote work,” “productivity,” or “work-from-home tips.”
ToC (Table of Contents): A high-level outline of the post, which serves as a guide for the main sections.
Title: Specify a compelling blog title, such as “Top Productivity Tips for Remote Workers.”
Slug: Define the URL-friendly version of the title, e.g., “remote-work-productivity-tips.”
Date: Set a publication date to help with scheduling and tracking.
Main Content: The core section for generating the bulk of the blog post. This is where the main points or sections will go.

This setup ensures that the AI can focus on relevant elements and creates a consistent structure across all posts.

Step 3: Fill in the Topic

Next, populate the Topic field with specific themes or keywords. This step helps keep the AI generation focused and SEO-friendly, ensuring that the post appeals to your target audience and performs well on search engines.

For example, for a post on remote productivity, you might enter terms like “remote work productivity,” “home office setup,” and “time management.”
These keywords will inform the AI’s tone and ensure that content is both relevant and optimized.

Step 4: Define How Fields Will Be Generated

For each field in your collection, decide on the best method to gather or generate content.

By using a mix of sources and strategies, you can create a richer, more nuanced blog post while maintaining control over quality and accuracy. Here are several methods you can use to populate each field effectively:

Title: You may manually input a unique title or use AI to generate variations of a central theme.
ToC: Manually input an outline or ask AI to propose a structure based on the topic.
Main Content: Use AI to generate each major section based on the ToC outline, such as “Creating a Productive Workspace” or “Setting Boundaries for Work-Life Balance.”

With this granular control, you can guide AI to generate content that aligns with your goals and tone while maintaining creative input over key parts of the post.

There are many ways to get the right content into each field:

Get Data from an API – Pull in data directly from an API if you’re including statistics, current trends, or other dynamic content. For example, if your post is about remote productivity, you might pull recent survey data or industry insights from a reliable source. API-driven data is especially useful for fields like statistics, current events, or market trends that require real-time information.
Ask a Colleague for Input – Collaborate with team members who may have specialized knowledge. For instance, you might ask an HR colleague for insights into remote work challenges or consult with a productivity expert on tools or tips. This approach adds credibility and unique perspectives to your content, especially for sections like tips or expert advice.
Use Rules to Generate Data – Define rules for auto-generating certain content fields. For instance, you might create a rule that suggests certain keywords for SEO, or auto-fill dates based on a weekly posting schedule. Rules are ideal for fields that need predictable and consistent formatting, such as publication dates, categories, or tags.
Generate a Paragraph from AI – Use AI to create specific sections of the post, like introductory paragraphs, detailed explanations, or even subtopics within a larger theme. AI generation is especially helpful for drafting bulk content quickly and can be refined by providing clear prompts based on your field definitions, like main content sections.
Manually Write Content – For sections that require a personal touch or a brand-specific voice, consider manually writing content. This approach works well for introductions, conclusions, or personal anecdotes that make the post feel more authentic. Manual input allows for greater flexibility in tone and style, ensuring that the content aligns with your brand voice and message.

Step 5: Generate the Content

Now that your collection and fields are in place, it’s time to generate the content. By leveraging the outline and topic definitions, AI can produce an initial draft that aligns with your goals.

Step 6: Review and Publish

After generating and refining the content, complete a final review. This step ensures quality, accuracy, and brand alignment before publication.

Review and Edit: Check for clarity, tone, and factual accuracy. Add any personal anecdotes, examples, or additional insights that will enhance the post’s value.
SEO Optimization: Make any necessary tweaks for SEO, such as adjusting keyword placement and adding meta descriptions or image alt text.
Publish: Save or publish the completed post, scheduling it if necessary according to the date field.