Content Harmony provides AI Suggestions throughout our workflow.
Like any AI-generated content, your team can use these suggestions as-is, but we highly recommend you customize them to match your writing style and make your content more engaging.
Here are a few things you should remember when using AI Suggestions in the Content Harmony workflow.
AI Suggestions are intended as a starting point
AI-generated content should be treated as a starting point, not the final product.
Content Harmony's AI Suggestions should not replace human creativity and innovation. While AI can help generate ideas and content, it's important to put in the effort to ensure your content is accurate and high quality.
AI Suggestions need to be modified to fit your brand
AI can be a powerful tool for brainstorming and ideation, but it's important to ensure that the AI-generated content aligns with your brand's voice and stance on the topic.
AI Suggestions may need to be fact-checked
While AI-generated content can help save time, it's important to have a human in the loop to review and edit the content. This will help ensure that the content is high-quality, unique, and engaging.
Content Harmony will be transparent with all AI-generated suggestions
In general, there are 4 types of data you'll find in Content Harmony:
- Scraped Data - This is data we report to you directly from the source, such as a search result or a competitor URL we're analyzing.
- Third Party Data - This is data we pull from third-party partners and vendors. For example, our link metrics are provided by Moz.
- Calculated Data - These are proprietary Content Harmony metrics that we create based upon scraped data. For example, our Domain Difficulty and Link Difficulty metrics are based upon underlying link data we pull from Moz.
- AI-Generated Data - This is data suggested by our AI providers, such as OpenAI & GPT-3.
To make sure it's clear to your team when we're using AI-generated suggestions for your content, we'll typically include labels like ✨ AI Suggested Headings in the following example:
We want your feedback on our AI Suggestions
In the future, we may implement new features to allow users to provide feedback on our AI Suggestions, such as a rating system or the ability to flag content that doesn't meet your standards.
For now, please ping us in live chat if you encounter any AI Suggestions that are concerning, glitchy, or unexpected, and we can take a closer look.