I wouldn’t worry too much about the AI detector percentage itself. What matters much more is whether the LOR genuinely reflects your recommender’s own experiences, observations and perspective.
There’s also a difference between using AI to clean up a few sentences and having AI actually write the recommendation. That said, some schools do have specific rules around this. For example, Stanford GSB says recommenders should be the sole authors of their recommendations, and applicants shouldn’t draft, write or edit the letter.
So if the recommendation is based on genuine experiences and your recommender is comfortable with the final version, I wouldn’t obsess over a 77–90% AI score. AI detectors aren’t a reliable measure of authenticity anyway. The bigger risk is a letter that feels generic, overly polished or doesn’t sound like the person recommending you.
I’d suggest having your recommender review the final version themselves, make any changes they genuinely want and then submit it directly. That’s much more important than trying to make the AI percentage go down.
We also help MiM/MBA applicants with the broader application process, including LOR strategy, essays, school selection and interview preparation. If you’d like to discuss your application, you can hop on a complimentary call with us at
Elevanted and we’d be happy to help.
Hope this helps!
Maanvi Prasad | INSEAD Alum, Class of 2012Shambhavi | McCombs, Texas Alum, Class of 2018Founders, Elevanted zitipiti
So, I was side by side preparing my resume, essays, and LoR. Although I just have one doubt regarding the LoR. I was using AI to fine-tune the sentences, but it turns out to be 77-90% AI generated, which is not!! i myself wrote things and corrected the sentences. Now this made me wonder, do universities or admissions committees actually run LoRs through AI detectors? even if the recommendation is written based on genuine experiences but has few professional edits?
I get it that many applicants hire consultants too even I myself hired someone. But I'm just curious how admissions teams view this. Is the focus mainly on the content being authentic and truly reflecting the recommender's POV, or is there any risk in it being too polished or AI like?
I'd really appreciate insights from anyone who has gone through the same mim/mba application processes.
Thanks!