Data-Driven Content Strategy with AI: Setup and Scale

Goals and KPIs

In order to measure the success of your data driven content strategy, you need to measure your goals and KPIs (Key Performance Indicators). This can include:

• Increasing organic website traffic
• Boosting engagement on social media
• Improving conversions
• Improving brand awareness
• Improving customer retention

Create a Training Database

AI models require a training database in order to create high quality and relevant content. This involves collecting your successful content pieces. This may include:

• High performing blog post
• Social media updates that have boosted engagement
• Landing pages that are high converting
• Email campaigns that have proven effective

The database is a blueprint for your AI tools, helping them understand your brand voice, style, along with the content that best resonates with your audience.

Data Structuring

The next step is to arrange your training data in a format that AI models understand. Well-structured Google spreadsheets can be effective. You should include columns for:

• Content type
• Title
• Body of text 
• Targeted keywords
• Performance metrics

With a structured approach, AI tools will be able to analyse patterns and generate content that best aligns with your most successful pieces.

Upload Training Data 

With your data well-structured, you can now feed it into your AI model using the following steps:

• Select an AI model
• Format your data based on the models requirements
• Upload your training dataset
• Allow the model to process and learn from the data you provide 
• Test the output and refine as needed

Providing the AI model with the relevant training data helps to ensure the AI-generated content you publish reflects your brand voice, while meeting your objectives.

Human Oversight

AI offers excellent capabilities when it comes to your content strategy, yet human oversight is still essential You will want to establish a system to check each piece of content, ensuring it is high quality, accurate, and resonates with your audience:

• Set up a review process for all AI-generated content
• Assign a team member to edit and refine any content
• Use human creativity to supplement any AI-generated ideas
• Assess the performance of your content regularly
• Adjust AI tools and processes based on results

Balancing AI tools with human creativity helps to produce high quality content in larger volumes, while maintaining your brand voice.

Conclusion

A data-driven content strategy is an effective way to ensure your brand remains visible online, providing high quality and accurate content that not only aligns with your brand voice and style, but resonates with your audience. Do you need help with your content strategy? Contact Genie Crawl now for a free evaluation and quote.