If you work on a higher ed website, you’ve likely tried using AI to speed up content creation.

You paste in a prompt. The AI generates a page in seconds. It sounds polished, even impressive at first glance.

But then you read it more closely, and something doesn’t quite work.

It’s not that the writing is bad. It’s that the content isn’t grounded in clear decisions.

Who is this for? A prospective student, a parent, or a current student? What should they do next? Is this even the right place to share this information?

These are the questions that actually determine whether your content succeeds. And they’re the ones AI can’t answer unless you ask them first.

That’s why the most powerful way to use AI in higher education isn’t to generate content, but to guide better decisions.

Instead of prompting AI to “write a page,” you can design it to challenge your assumptions, pressure-test your content, and surface gaps before anything gets published.

Below are seven custom GPTs I’ve built specifically for higher ed teams. Each one is designed to support a critical content decision, from audience clarity to governance to personalization, so you can create content that actually works, not just content that sounds good.

1. The Inclusive Language Checker

Most content teams do not intentionally write exclusive content. But blind spots and hidden assumptions sneak into our drafts all the time. We make subtle assumptions about family structures, financial resources, prior knowledge, and personal identities.

The Inclusive Language Checker acts as a crucial second set of eyes. It reviews your drafts and flags potential issues before you publish.

What it flags:

• Subtle tone issues that might alienate readers
• Unintentional biases regarding age, gender, or background
• Idioms or language that create unnecessary barriers for non-native speakers

This GPT does not just point out problems. It explains exactly why a specific phrase might land poorly with certain groups. Then, it suggests thoughtful alternatives.

The goal here is not absolute perfection. The goal is awareness. Small changes in your language can make a massive difference in whether a reader feels welcome or excluded.

2. The Plain Language Translator

Jargon is everywhere, but nowhere is it more persistent than in higher education. Complex academic terms, intricate administrative processes, and policy-heavy documents are the norm, but prospective students, parents, and even staff often struggle to understand them. The gap between institutional language and everyday understanding can create a real barrier to access.

The Plain Language Translator takes your insider text and turns it into human language.

How it helps:

• Translates academic or technical terminology into everyday concepts
• Simplifies complex administrative processes
• Turns dense policy language into clear, direct instructions

Using plain language does not mean you are “dumbing down” your content. It means you are making it understandable. When people cannot quickly grasp what they are reading, they do not try harder. They simply leave your website. Clear language goes beyond writing improvement. It is a fundamental issue of access and equity.

3. The “If I Were You” GPT

One of the hardest things for a content creator to do is view their own work from an outsider’s perspective. You know your topic inside and out, which makes it easy to skip over crucial details.

The “If I Were You” GPT pressure-tests your content from real user perspectives. You can ask the AI to review a webpage acting as specific audience members.

Example perspectives to test:

• A first-time visitor looking for a high-level overview
• A parent trying to understand hidden costs and tuition fees
• A busy staff member searching for a specific form
• A community member exploring local resources

When the AI reviews the page through these lenses, it highlights missing context, confusing navigation, and gaps in information. This tool forces a vital shift in your team’s mindset. Instead of asking, “Does this sound right to us?” you start asking, “Does this actually work for them?”

4. The Audience Reality Check

Many web pages try to serve everyone at once. A single page might target prospective users, current customers, internal stakeholders, and external partners. The result? Content that serves absolutely no one well.

The Audience Reality Check GPT answers the question no one wants to answer: who is this actually for?

This tool analyzes your content to identify conflicting messaging. It spots areas where your calls-to-action compete with one another. It determines whether your page has a clear, singular purpose.

After its analysis, the AI makes a recommendation you might not love, but definitely need. It will tell you to pick a primary audience. If you cannot do that, it will suggest splitting the content into multiple, focused experiences. Clarity will always beat comprehensiveness.

5. “Should This Be On The Website?”

Every web team knows this common scenario. A stakeholder sends an email saying, “We need to put this on the website immediately.” Sometimes they are right. Often, they are wrong.

The “Should This Be On The Website?” GPT is your secret weapon for content governance conversations. It evaluates content requests based on objective criteria.

Evaluation criteria include:

• Public value and audience need
• Long-term maintenance burden
• Risk, clarity, and brand alignment
• Better alternative channels (like an internal newsletter or intranet)

The tool then provides a neutral recommendation: publish, redirect, archive, or do not publish. What makes this GPT so powerful is that it removes emotion from the debate. Instead of telling a colleague a flat “no,” you can present a solid, strategic reasoning backed by objective analysis.

6. The Personalization Opportunity Analyzer

Personalization sounds like a great strategy until you actually try to implement it. Most marketing teams either overcomplicate the process or avoid it entirely because it feels too overwhelming.

The Personalization Opportunity Analyzer takes a much smarter approach. It reviews your content library and identifies the exact spots where personalization matters.

What it identifies:

• Areas where different audiences have clearly different needs
• Situations where user context actually changes their final decisions
• Pages where small, dynamic changes could significantly reduce friction

Just as importantly, this GPT shows you where personalization would add unnecessary complexity without providing real value. The goal is never “more personalization.” The goal is better, highly intentional personalization that drives results.

7. The Career Path Researcher

One of the most frequent gaps in higher education content is explaining real, concrete outcomes for students. Prospective students and families are often met with vague statements like, “Our graduates go on to successful careers in many exciting fields,” which provide little substance and can leave them feeling uncertain about their investment.

The Career Path Researcher addresses this head-on by equipping colleges and universities with specific, actionable insights that matter to students making big decisions about their future.

That sentence tells your reader absolutely nothing.

The Career Path Researcher turns those vague outcomes into real, useful insights. You can use this AI tool to research specific data points that back up your claims.

Data points to research:

• Real entry-level roles and job titles
• Accurate salary ranges based on location
• Realistic career progression timelines
• Specific hard and soft skills required for the job

By using this tool, you can replace empty claims with specific, credible, and decision-driving information. That is exactly what prospective students and job seekers are actually looking for.

The Bigger Shift: AI as a Thinking Partner

All seven of these custom tools operate on the exact same principle. AI should not replace your judgment. It should give you the structure to make better choices.

These GPTs work best when you treat them as a thinking partner. Use them to get a second opinion, establish a structured framework, and surface your strategic blind spots. Treat AI as a consultant, not a content generator.

Better content simply does not come from stringing together better sentences. It comes from making better decisions about what to publish, who to write for, and how to structure your ideas. When you improve how your organization makes decisions, across your teams, pages, and workflows, your content quality will naturally scale.

Your Next Step

If you try just one thing this week, change your approach to your AI prompt box.

Do not start by asking AI to write a blog post or an email. Start by asking, “What decisions haven’t we made yet?” Then, use AI to help you answer that specific question. That is where you will find the real value of artificial intelligence.

Interested in trying one or more of those custom GPTs? Just drop me a note.