Content Creation
Elevate your brand's reach and boost engagement with compelling content creation strategies.
We're in the early alpha stage, book a call with us and let's chat!
Context
The Content Engine is a powerful solution that empowers organizations to harness the potential of data and AI for content creation, optimization, and monitoring. With the Content Engine, businesses can enhance their reach and engage their audience more effectively across various platforms. By leveraging advanced analytics, AI-driven content generation, and optimization recommendations, businesses can make data-informed decisions to improve their content strategy, increase reach and boost engagement.
Benefits
Content Performance Analytics
Track engagement metrics across various platforms to identify high-performing content, understand audience preferences, and optimize your content strategy. Gain insights into key metrics such as views, likes, and shares to continually refine your approach and maximize reach.
Social Media Listening
Monitor social media platforms for mentions, trends, and conversations relevant to your industry. Keep track of your competitors' activities to gain insights into their successes and learn from their missteps.
Content Optimization Recommendations
Receive AI-driven recommendations to improve content quality, readability, and SEO, driving increased audience engagement and reach. Use these insights to create a more targeted and effective content strategy that resonates with your audience and boosts your online presence.
AI-Driven Content Generation
Leverage large language models to generate relevant and engaging content, reducing the time and effort required to create compelling material. By harnessing AI technology, you can ensure that your content is on-trend, appealing, and tailored to your target audience's interests.
How it Works?
- Connect your LinkedIn Account by typing /LinkedIn_Connect in the chat bar
- Profile your profile information by typing /LinkedIn_Profile in the chat bar
- Get your content analytics by typing /LinkedIn_Content_Analytics in the chat bar
- Access the code by typing /Lab_Content_Engine in the chat bar
Workflows
Chat with Your Content Agent
You can interact with your content agent to gain insights and recommendations on your content performance data. The agent can also create your next series or posts on any different platforms for a given topic, summarize articles, repurpose content, write video scripts, iterate to find the perfect hooks…a lot can be done just by interacting with the current version of the agent in the Chat.
Receive Automated Email Reports
You will receive an email report detailing your daily or weekly content performance and providing recommendations. This report, featuring performance graphs and text analysis will help you understand how well you have performed over the month. You can customize this report and add other insights to meet your specific needs.
Create Your Own Content Creation Prompt
Craft your own content creation prompts by customizing our template according to your needs. You can then use these prompts within your Naas chat system.
Consolidate Your LinkedIn Content
Collect all LinkedIn content (including content and metrics) published by your company and individuals, and compile it into a single database. This data can then be distributed across various channels such as Notion, Google Sheets, Excel, and more.
Understand Your LinkedIn Engagement Rate
Enhance your understanding of the engagement rate on your posts, whether published individually or bundled into custom categories (such as engagement rate by topics). The engagement rate is calculated using the simple formula: (Comments + Likes + Shares) / Views.
Follow LinkedIn Influencers' Content
LinkedIn is a platform that brings together content published by a diverse range of individuals. To ensure you don't miss any valuable content that could aid your growth, consider following influencers. This will allow you to gain the best insights from their content and find inspiration for your own future posts.
Understand Sentiment Analysis Based on Comments
Analyze comments from any post to determine its relevance. Sometimes, a post can generate buzz, but the comments can provide deeper insights into expert opinions and offer constructive information.
Get “Saved” Posts from Your LinkedIn (Pro)
While browsing LinkedIn, you might find interesting posts that you want to revisit later. Our upcoming feature will allow you to save these posts and add them to your content database. This will enhance the accuracy of your AI recommendations.
Extract Trending Topics from LinkedIn Search (Pro)
LinkedIn Search is a powerful tool for finding posts based on specific keywords. Our upcoming feature will help you perform research and add relevant content to your database. This will help you stay updated on trending topics and further improve the accuracy of your AI recommendations.
Receive Improvement Recommendationsn (Pro)
Based on your content data, you'll receive personalized suggestions. These recommendations are driven by factors such as your engagement rate, content readability (scored using AI), and SEO score. The latter ensures that your keywords rank high in Google search results.
Generate Content with AI (Pro)
Using Naas Chat and your own data, we will be able to generate not only written content but also images using models like Stability. This will enhance the quality and appeal of your content.
Data Model
CONTENT_ANALYTICS
The data model behind the collection of your content insights on media platforms.
Dataset
| URL | PLATFORM | DATE | TITLE | CONTENT | MEDIA_TYPE | KEYWORDS | AUTHOR | VIEWS | LIKES | COMMENTS | SHARES | ENGAGEMENT_RATE |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://www.linkedin.com/posts/activity-6807940803196346368-FHjg | 5/3/2023 10:00:00 | This is a first title | This is the full content | Text | #keyword | Jeremy Ravenel | 1020 | 12 | 23 | 1 | 0.035 | |
| https://twitter.com/elonmusk/status/1441575030638141443 | 5/3/2023 10:00:00 | This is a first title | This is the full content | Text | #keyword | naas | 1020 | 12 | 23 | 1 | 0.035 | |
| https://www.facebook.com/username/posts/10101010101010101 | 5/4/2023 10:00:00 | Sharing my latest insights | Here are some of my thoughts... | Text | #keyword | naas | 800 | 36 | 15 | 12 | 0.079 | |
| https://username.medium.com/title-of-the-article-b8f90375c54a | Medium | 5/5/2023 10:00:00 | Lessons from FY2023 | In this article, I reflect on... | Text | #keyword | naas | 1200 | 115 | 30 | 20 | 0.137 |
| https://www.youtube.com/watch?v=3tmd-ClpJxA | YouTube | 5/6/2023 10:00:00 | My thoughts on FY2023 | In this video, I share my views... | Video | #keyword | naas | 3200 | 500 | 150 | 75 | 0.219 |
Schema
{
"type": "object",
"properties": {
"URL": {
"type": "string",
"description": "The URL of the social media post."
},
"PLATFORM": {
"type": "string",
"description": "The social media platform where the post was published."
},
"DATE": {
"type": "string",
"format": "date-time",
"description": "The date and time when the post was published."
},
"TITLE": {
"type": "string",
"description": "The title of the post."
},
"CONTENT": {
"type": "string",
"description": "The full content of the post."
},
"MEDIA_TYPE": {
"type": "string",
"description": "The type of media used in the post (e.g., Text, Image, Video)."
},
"KEYWORDS": {
"type": "string",
"description": "Keywords associated with the post."
},
"AUTHOR": {
"type": "string",
"description": "The name of the content author."
},
"VIEWS": {
"type": "integer",
"description": "The number of views the post has received."
},
"LIKES": {
"type": "integer",
"description": "The number of likes the post has received."
},
"COMMENTS": {
"type": "integer",
"description": "The number of comments the post has received."
},
"SHARES": {
"type": "integer",
"description": "The number of times the post has been shared."
},
"ENGAGEMENT_RATE": {
"type": "number",
"description": "The engagement rate of the post, calculated as (Comments + Likes + Shares) / Views."
}
}
}
MEDIA_LISTENING
The data model behind the collection of content insights by monitoring competitors, influencers, and trending topics.
Dataset
| URL | PLATFORM | DATE | TITLE | CONTENT | MEDIA_TYPE | KEYWORDS | AUTHOR | AUTHOR_URL | FOLLOWERS | LIKES | COMMENTS | SHARES | ENGAGEMENT_RATE |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 5/3/2023 10:00:00 | This is a first title | This is the full content | Text | #opensource #jupyter | Travis Oliphant | 10000 | 122 | 18 | 10 | 0.035 | |||
| 5/3/2023 10:00:00 | This is a first title | This is the full content | Text | #ai | Vin Vashishta | 170000 | 455 | 23 | 1 | 0.035 | |||
| YouTube | 5/6/2023 10:00:00 | My thoughts on FY2023 | In this video, I share my views... | Video | #bi #finance | Alexandre Stevens | 3200 | 500 | 150 | 75 | 0.219 |
Schema
{
"type": "object",
"properties": {
"URL": {
"type": "string",
"description": "The URL of the social media post."
},
"PLATFORM": {
"type": "string",
"description": "The social media platform where the post was published."
},
"DATE": {
"type": "string",
"format": "date-time",
"description": "The date and time when the post was published."
},
"TITLE": {
"type": "string",
"description": "The title of the post."
},
"CONTENT": {
"type": "string",
"description": "The full content of the post."
},
"MEDIA_TYPE": {
"type": "string",
"description": "The type of media used in the post (e.g., Text, Image, Video)."
},
"KEYWORDS": {
"type": "string",
"description": "Keywords associated with the post."
},
"AUTHOR": {
"type": "string",
"description": "The name of the content author."
},
"AUTHOR_URL": {
"type": "string",
"description": "The URL of the content author."
},
"FOLLOWERS": {
"type": "integer",
"description": "The number of author's followers."
},
"LIKES": {
"type": "integer",
"description": "The number of likes the post has received."
},
"COMMENTS": {
"type": "integer",
"description": "The number of comments the post has received."
},
"SHARES": {
"type": "integer",
"description": "The number of times the post has been shared."
},
"ENGAGEMENT_RATE": {
"type": "number",
"description": "The engagement rate of the post, calculated as (Comments + Likes + Shares) / Followers."
}
}
}
CONTENT_RECOMMENDATIONS
The data model behind the enrichment of content with optimizations and recommendations.
Dataset
| URL | TITLE | CONTENT | KEYWORDS | ENGAGEMENT_SCORE | READABILITY_SCORE | SEO_SCORE | RECOMMENDATIONS |
|---|---|---|---|---|---|---|---|
| First Title | This is the full content... | #FY2023, #Strategy | 0.035 | 60 | 75 | "Increase use of keywords throughout the text." | |
| Second Title | This is another piece of content... | #FY2024, #Plan | 0.045 | 70 | 65 | "Improve readability by simplifying complex sentences." | |
| Third Title | Yet another piece of content... | #FY2023, #Review | 0.025 | 55 | 80 | "Increase engagement by adding a call to action." | |
| Fourth Title | More content... | #FY2024, #Forecast | 0.055 | 80 | 70 | "Improve SEO score by adding metadata." |
Schema
{
"type": "object",
"properties": {
"URL": {
"type": "integer",
"description": "The unique identifier for the content."
"TITLE": {
"type": "string",
"description": "The title of the post."
},
"CONTENT": {
"type": "string",
"description": "The full content of the post."
},
"KEYWORDS": {
"type": "string",
"description": "The keywords or hashtags associated with the content."
},
"ENGAGEMENT_SCORE": {
"type": "number"
"description": "A score indicating the level of user engagement with the content."
},
"READABILITY_SCORE": {
"type": "integer",
"description": "A score indicating the readability of the content."
},
"SEO_SCORE": {
"type": "integer",
"description": "A score indicating how well the content is optimized for search engines."
},
"RECOMMENDATIONS": {
"type": "string",
"description": "Specific recommendations for improving the content."
}
},
}
}
CONTENT_GENERATION
The data model behind the content creation.
Dataset
| PLATFORM | TITLE | CONTENT | KEYWORDS | DATE | RELATED_CONTENT |
|---|---|---|---|---|---|
| Title | This is the full content... | #ai #openai | +1 day | url1, url2, … | |
| Title | This is another piece of content... | #openai | +2 day | url1, url2, … | |
| Title | Yet another piece of content... | #jupyter #anaconda | + 3 day | url1, url2, … |
Schema
{
"type": "object",
"properties": {
"PLATFORM": {
"type": "string",
"description": "The social media platform where the post should be published."
},
"TITLE": {
"type": "string",
"description": "The title of the post."
},
"CONTENT": {
"type": "string",
"description": "The full content of the post."
},
"KEYWORDS": {
"type": "string",
"description": "The keywords or hashtags associated with the content."
},
"DATE": {
"type": "string",
"format": "date-time",
"description": "The date and time when the post should be published."
},
"RELATED_CONTENT": {
"type": "string",
"description": "The list of URLs used to inspire the content created."
},
}
}
FAQ
- Which platforms does the Content Engine support? The Content Engine currently supports LinkedIn (Profile and Company), coming soon for Twitter/X, YouTube, Instagram, and TikTok.
- Is the AI-generated content customizable? Yes, you can customize the AI-generated content to better align with your brand voice and messaging.
- How can I stay updated on new features and improvements to the Content Engine? Stay connected with the Naas community, and subscribe to the platform newsletter for regular updates on new features, enhancements, and tips.
- Is my data secure when using the Content Engine? Naas takes data security seriously and follows industry-standard practices to ensure the protection of your data. For more information, refer to the Security Suite documentation.
How to Contribute?
Collaborate with Us on our Public GitHub Repo
Accelerate development by working with us on issues in our public GitHub repository: https://github.com/jupyter-naas/engine-content.
Submit Your Ideas and Improvements
Create GitHub Issues or Participate in GitHub discussions with fellow community members. Your ideas and suggestions for improvements are always welcome.
Talk About Naas On Social Media
If you like what we are doing, share your story and case studies on social platforms to inspire others in the community. Your experiences can provide valuable insights for others.