Ask whether a generic AI could have produced the same paragraph from a basic prompt. If you could swap in a different applicant, industry, or story and it still reads fine, it isn’t selling your story.
Well written and generic aren’t opposites. A clean, grammatical paragraph can still fail the test. This is what that looks like on a real paragraph.
What did the paragraph say before using AI?
A client wrote this for Harvard Business School’s Leadership-Focused essay, describing how she mentored a student as one example of leadership:
“I have made it a point to be a resource for students navigating the internship process by regularly having coffee chats with freshmen and sophomores and letting university advisors know that I’m available to help. Over multiple conversations with one sophomore, I shared insights into the company and role she was applying for, tips on how to navigate behavioral interviews, and an introduction to the possibilities within various finance roles. I broke down what I wished I had known earlier, from structuring interview responses to making an impact in a new role.”
What does generic AI feedback catch?
I ran this exact paragraph through a plain “give me feedback on this MBA essay passage” prompt, no coaching context attached, to see what a generic pass would flag. It wasn’t nothing:
“First sentence is doing too much… ‘I shared insights… tips… and an introduction to’ is a list-of-three construction… Missing the ‘so what.’ Right now the passage documents generosity and competence but doesn’t say what happened as a result.”
That’s a real edit. The list-of-three flag is correct, one of the tells we teach people to spot. The “so what” flag is directionally right too. If your only bar is decent writing advice, generic AI clears it more often than people expect.
What does generic AI miss on an MBA essay?
A general-purpose review can’t give you admissions-specific pattern recognition. It hasn’t read hundreds of essays that got you into your target school versus rejected. My note, after coaching hundreds of admits through this exact essay question:
“The details of what you shared are good, although it does feel like you are sticking to describing those facts of what happened. I wonder if there is a way to inject more personally your approach to doing this. As this will be the main leadership and investing in others example, it’s your opportunity to share more of the soft power, your approach to leading without a title. Consider an extreme, but relevant, example — a generic AI could do exactly what you described here. What’s the more unique aspect you brought to the table? Connection?”
What does MBA.AI expert feedback say?
MBA.AI exists because I spent two years encoding exactly this judgment into its expert prompt layer. Here’s what it catches, specific to what HBS’s Leadership-Focused prompt is actually testing:
- Open with a more active, scene-grounded moment rather than a general habit statement. “I have made it a point to be a resource” tells us your intent but doesn’t show the reader who you are in action. A single, specific detail — a question this sophomore asked, or the moment you realized she needed more than interview tips — would pull the reader in immediately and let your mentorship style speak for itself.
- “Over multiple conversations with one sophomore, I shared insights into the company and role…” This sentence carries a lot of weight by stacking three things in a list. Consider trimming one item and using the space to show how you shared — did you walk her through a mock answer? Did you reframe finance as a career she hadn’t considered? The how is where your leadership style lives.
- “What I wished I had known” deserves more room. This is quietly the most compelling phrase in the paragraph — it tells us your mentorship isn’t transactional, it’s reflective, built from your own early uncertainty.
- To strengthen it within a full essay, make sure it connects back to the leadership style you name elsewhere, whether that’s proximity, service, developing others, or something else entirely. Right now it reads as a warm, genuine act of mentorship; the next revision can make it legible as your specific way of leading.
Generic feedback tells you the opening sentence is doing too much and the paragraph never lands an outcome. MBA.AI tells you exactly how to fix both: replace the general habit statement with one concrete scene, and use the space that list-of-three wastes to show the specific exchange that reveals your leadership style, not just which topics got covered. That’s the gap between knowing something reads as generic and knowing precisely what to put in its place.
Why can’t generic AI catch this on its own?
Generic AI is trained to sound helpful across every domain at once. It can catch structure, a list-of-three or a missing outcome. What it can’t catch is the specific bar your target MBA is holding you to, because that bar isn’t written down anywhere a model can retrieve it. Admissions officers pattern-match it from hundreds of real admits and real rejections, at a specific school, for a specific kind of prompt.
That’s the gap MBA.AI is built to close. Not “AI is bad at editing,” because it isn’t. Generic AI doesn’t know what makes your essay land at your specific MBA program, and you can’t always tell the difference between a suggestion that sounds smart and one that’s actually going to land with your adcom.
Run your own paragraph through the test above before you send it anywhere. If a generic AI could have written it, an admissions reader has read the generic version a hundred times already.
FAQ
How do I know if my MBA essay sounds like AI wrote it? Ask whether a generic AI could have produced the same paragraph from a basic prompt. If you could swap in a different applicant, industry, or story and the paragraph still reads fine, it isn’t unique to you. That’s the tell, regardless of how polished the sentences are.
Can admissions officers tell if I used AI to write my essay? They can tell when an essay is generic, which is often the same thing. Adcoms read thousands of essays a cycle and recognize interchangeable phrasing on sight, whether it came from AI or from a human writing what sounds safe. AI misses the connections across your lived experience that self-reflection and expert coaching help surface.
Is it OK to use AI to help write my MBA essay? Yes, used as a thought partner rather than a ghostwriter. The problem isn’t the tool, it’s a generic prompt producing generic output. AI sharpened with real admissions expertise catches different, more specific issues than a plain “give me feedback” prompt does.