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Writer's picturepalmerlisac

Why Your Content Needs to Speak to Both Humans and Machines

Made in partnership with Microsoft Copilot Designer.

Content now needs to serve both people and AI.


A business owner needs to find the right CRM for her growing e-commerce company. Not long ago, she would’ve opened Google, typed in a few search terms, and clicked through a dozen results. But today? She skips Google entirely. Instead, she opens ChatGPT and types her question. Within seconds, she has detailed recommendations, comparisons, and links to documentation—all through a natural, conversational exchange, without ever touching a search engine.


This example illustrates the fundamental shift in how information is discovered and consumed. Personally, I stopped using traditional search engines so long ago that I don’t remember when I made the switch. But this shift isn’t just happening with customers. Inside organizations, it’s the same story. We’re using tools like Microsoft Copilot to pull up documents, summarize policies, or even draft emails. These tools rely on well-organized, accessible content. Without it, they just don’t deliver.


Here’s the bottom line: whether you’re talking to customers or empowering your team, content now has to serve two audiences—humans and machines.


The New Reality of Content Discovery

AI-powered tools like ChatGPT and Copilot are rewriting how content is discovered and consumed. Humans and LLMs (Large Language Models) look for different things. Humans skim headlines, engage with visuals, and click links. They want stories and simplicity. Machines, on the other hand, thrive on dense, structured information. They process long-form text and machine-readable formats like XML or JSON, no fluff required.


The challenge? Your content now needs to work for both audiences. Think of it as speaking two languages at the same time—one for humans and one for machines. Get it wrong, and you risk being invisible to one or both.


Why it Matters

Adapting your content isn't a nice-to-have, it's critical. Here's why:


Externally: Customers are turning to AI tools for answers. If your content isn’t optimized for machines, your products and expertise won’t show up—no matter how great they are.


Internally: Tools like Microsoft Copilot can only work with what they can find and understand. Disorganized or outdated content slows down your team and wastes opportunities to work smarter.


Building a Dual-Purpose Content Strategy

So, how do you make your content work for humans and machines? Let’s break it down.


For External Content

Your external content is what customers and prospects see, whether it’s on your website or through AI-generated search results.


  • Structure with Purpose: Use clear headings, detailed metadata, and organized tables or lists. Machines thrive on consistency.

  • Create Parallel Formats: Visual guides and interactive content for humans, paired with machine-readable versions like XML or JSON. Both should share the same core information.

  • Make It Easy to Access: Centralize your content in repositories, create APIs for programmatic access, and keep sitemaps updated.


Example: A software company could have a slick, interactive product guide for users and a downloadable XML file with API documentation for LLMs.


For Internal Content

Internally, content is the foundation of a productive, AI-enabled workplace. If it’s messy, your team wastes time. If it’s structured, they move faster.


  • Centralize and Organize: Use platforms like SharePoint or Teams to store documents in a single source of truth. Clear folder structures and consistent naming conventions make a difference.

  • Standardize Documentation: Templates aren’t boring—they’re lifesavers. Use them to enforce consistency, include rich metadata, and define clear update procedures.

  • Enable AI Integration: Make sure your tools can actually use your content. Keep data clean, structured, and regularly audited for accuracy.


Example: An HR policy should include a summary for quick answers and a detailed version for AI tools like Copilot to parse.


Looking Ahead

The future of content discovery is conversational and contextual. The line between human and machine audiences is already blurring. Organizations that adapt now will be the ones who thrive.

Here’s how to prepare:


  1. Audit Your Content: Identify gaps for both human and machine needs.

  2. Update Creation Processes: Design workflows that build both formats automatically.

  3. Measure and Adjust: Monitor performance and tweak as needed.


The Bottom Line

Creating content that serves humans and machines isn’t optional. Externally, it determines whether customers find your business. Internally, it’s the difference between a productive team and a frustrated one. Get this right, and you’ll stand out in a world where everyone is competing for attention—both human and machine. Get it wrong, and you'll be left behind.

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