How to Refresh Content with AI-Powered Workflows

In a recent webinar, Steve Toth, founder of SEO Notebook, joined the AirOps team to share insights on updating content for new trends, market developments, and research using AI-powered content workflows.

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Watch the full recording below or keep reading for more lessons.

Quick Recap of Key Takeaways

• Focus on refreshing content that aligns with your client's goals and high-value offerings
• Optimize at the sentence level by reducing dependency hops between words for better search engine understanding
• Incorporate your own data, writing style guide, and tone of voice into AI-assisted content refresh workflows
• Always have a human review the final output to ensure quality and relevance

The Challenge

As industries evolve and new information emerges, previously published content can quickly become outdated, losing its relevance and search engine rankings. For example, an article about writing a resume cover letter from 2020 might not mention AI or ChatGPT, which have become important considerations in 2023. Failing to update such content leaves valuable opportunities on the table for engaging today's searchers and readers.

Efficient Content Refresh at Scale

The AirOps content refresh workflow streamlines the process from selecting a URL to updating the page, facilitating human review, and publishing to the CMS. Key steps include:

1. Extracting metadata, page structure, and clean content from the target URL
2. Researching the main topic and reader goal using AI-powered tools like perplexity
3. Dynamically generating a content style guide aligned with the brand's tone and voice
4. Iterating over subtopics, incorporating relevant data (e.g., product information, sales data, or expert quotes)
5. Amalgamating updates, refreshing metadata, and reassembling the article for human review
6. Reviewing changes, making final edits, and publishing to the CMS

By automating repetitive tasks and providing a structured approach, this workflow enables teams to refresh content efficiently at scale while maintaining quality through human oversight.

Best Practices and Key Learnings

Align Refresh Efforts with Client Goals

Prioritize content refresh initiatives based on the client's objectives and high-value offerings. Focus on pages that are most important to their business and have the potential to drive meaningful results.

Optimize Sentences for Search Engine Understanding

Craft sentences that minimize the distance between words that give each other meaning. This reduces the computational cost for search engines to process and understand the content, increasing the likelihood of ranking well.

Incorporate Brand Voice and Style

Ensure that the refreshed content aligns with your brand's unique tone of voice and writing style guide. Avoid relying solely on AI-generated content without human refinement to maintain authenticity.

Leverage First-Party Data

Enrich your content refresh process by incorporating your own product data, sales data, customer insights, or expert quotes. This adds unique value that sets your content apart from competitors.

Conduct a Final Human Review

Always have a human editor review the refreshed content before publication. They should assess the article's quality, relevance, and ability to engage and inform the target audience effectively.

Putting the Insights into Practice

Implementing an AI-powered content refresh workflow can help you stay ahead of industry changes, improve search engine rankings, and drive meaningful business results. By focusing on high-priority pages, optimizing at the sentence level, incorporating brand voice and first-party data, and ensuring human oversight, you can create winning content that resonates with your target audience.

To learn more about building content refresh workflows tailored to your unique needs, sign up for an exclusive strategy session with the AirOps team. Simply email team@airops.com to reserve your spot and take the first step towards revolutionizing your content operations.

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