How to Use AI to Prepare for an Interview (5 Steps + Prompts)

The interview is on Thursday. You have read the job ad twice, you know you should “prepare”, and you still have no idea what they will actually ask or how you will answer without rambling. Most people end up skimming a list of “top 50 interview questions” the night before and hoping for the best.

Here is how to use AI to prepare for an interview properly: give ChatGPT, Claude or Gemini the job ad and your CV, let it predict what the interviewer will test, build short stories from your own real work, then have it play the interviewer, one question at a time, while you answer out loud. After each answer it gives you one piece of feedback, and you redo the weakest answer. The AI does the questions and the coaching. The stories and the words stay yours.

That takes about an hour spread over two evenings. Below are the five steps, the prompts to copy, a worked example, and where the line is between smart preparation and something an employer would not accept.

Why “give me interview questions” is not preparation

Ask any chatbot for “interview questions for a marketing manager” and you get the same generic list everyone else gets. Tell me about yourself. What is your biggest weakness. Where do you see yourself in five years. Useful to glance at, but it does not tell you what this employer cares about, and it does nothing for the part that actually goes wrong in interviews: saying a clear, specific answer out loud, under a bit of pressure.

Career services that coach candidates every day land on the same approach. MIT’s career office suggests feeding the AI your resume and the job description so it can match your experience to what the employer is looking for, and then practising answers with voice so you get feedback on structure (MIT CAPD, Using AI for interview prep). Harvard’s career center adds the warning that matters most: do not memorise answers, keep them in your own voice, and double-check anything factual the AI tells you (Harvard FAS Mignone Center, AI for Interviews and Offers).

So the job splits in two:

• The AI’s job: read the job ad like a hiring manager, predict the questions, play the interviewer, and point out what is missing from your answers.
• Your job: bring real examples from your work, say the answers out loud, and decide what sounds like you.

Step 1: Let AI decode the job ad (5 minutes)

Paste the full job ad and your CV into a new chat. Take your phone number, home address and anything confidential out of the CV first. The AI does not need them.

I have an interview for the job below. Act as the hiring manager for this role.

1. List the 5 to 7 skills or qualities you would most want to test in the interview, based only on the job ad. For each, quote the line in the ad that tells you it matters.
2. Compare them with my CV. For each skill, tell me which part of my experience is my best evidence, and where my evidence is thin.
3. Do not write answers for me. Give me talking points only.

JOB AD:
[paste]

MY CV:
[paste]

The “quote the line” part keeps the AI honest. If it claims the role needs stakeholder management, you can see exactly where the ad says so. The “where my evidence is thin” part is gold: those are the questions most likely to catch you out, so you prepare them first.

Step 2: Turn your real work into short stories (20 minutes)

Many of the interview questions that matter are some version of “tell me about a time when…”. The standard way to answer them is STAR: the Situation, your Task, the Action you took, and the Result. Harvard’s career center recommends typing your answers in STAR format and asking the AI for feedback on them.

The trap is letting the AI invent the story. It will happily write a perfect STAR answer about a project you never ran, and the first follow-up question will expose it. So flip it around: you talk, the AI asks.

I want to prepare a story for the skill "[skill from Step 1]". I will describe something that really happened at my work. Before you do anything else, ask me up to 5 short questions to get the details you need: what the situation was, what exactly I did, and what changed afterwards.

Then put it in STAR order as bullet points (not a script). Use only facts I gave you. If a part is missing, such as the result, say so and ask me for it. Do not make up numbers.

Speaking instead of typing helps here. MIT notes that speech to text can feel more natural and lets you be more descriptive, which gives the AI better material to work with. Most chat apps have a microphone button in the message box.

Aim for five or six stories that each cover two or three skills from Step 1. A story about fixing a messy handover, for example, can answer questions about problem solving, working with other teams and handling pressure.

Step 3: Cut the list down to a realistic interview (5 minutes)

Ask for questions and you will get thirty. Real interviews are much shorter. MIT makes the same point: a half-hour interview covers far fewer questions than you might expect, so ask the AI to narrow the list down to a realistic set.

This is a [length, e.g. 45-minute] [type, e.g. first-round video] interview with [who, e.g. the team lead]. Based on the job ad, give me the 8 questions I am most likely to get, in the order an interviewer would probably ask them. Mark which of my stories fits each question, and flag any question I have no story for yet.

Any question flagged “no story yet” goes back to Step 2. If a question looks off for the role, say so and ask the AI to refocus. You know the job better than it does.

Step 4: Run a mock interview out loud (20 minutes)

This is the step that makes the difference, and the one people skip. Reading a good answer and saying a good answer are different skills. Use a voice conversation if you can:

• ChatGPT Voice works in the app and on chatgpt.com: select the Voice icon in the message box and start talking. OpenAI’s help page says you can ask it at the start to wait until you ask it to respond, which is handy when you need a moment to think, and the transcript is added to the chat afterwards so you can read your answers back (OpenAI Help, ChatGPT Voice).
• Gemini Live gives you a free-flowing spoken conversation in the Gemini app on your phone. Google notes it is not available in the Gemini web app (Gemini Apps Help, Gemini Live).
• No voice option? Type the prompt, then say each answer out loud before you type it in. It is slower, but you still practise the speaking part.

Start the session with this prompt (paste or read it out):

You are the interviewer for the [job title] role at [company], using the 8 questions from earlier. Ask me one question at a time and wait for my full answer.

After each answer, give me short feedback in three lines: what worked, the one change that would improve it most, and whether any part of STAR is missing. Do not rewrite my answer for me. Then ask one realistic follow-up question, the kind a curious interviewer would ask, before moving on.

After all 8 questions, tell me the patterns you noticed across my answers and which answer was weakest.

The follow-up question is the point. Anyone can rehearse a polished opening. Follow-ups are where you show the story is real.

Step 5: Redo the weakest answer, then stop

Take the weakest answer from the summary and do it again, out loud, using the one change the AI suggested. Then leave it. Coming back the next day for a second short round works better than drilling the same answer twenty times in one evening.

Watch for one thing: if your answers start sounding like the AI’s phrasing, you have gone too far. MIT calls memorising answers word for word the biggest trap, because you sound robotic and cannot adapt when the question comes in slightly differently. You want to know your stories and your key points, not a script.

Research the company with AI (and check every fact)

AI is a fast way to get oriented: what the company does, who its customers are, what is going on in its industry. It is also a fast way to walk into an interview with a confident, wrong fact. Harvard’s career center says it plainly: generative AI can produce incorrect information, so double-check your research with trusted sources.

I have an interview at [company] for [role]. Give me a one-page briefing: what they sell and to whom, how they describe themselves, and 3 things that are probably on the team's mind right now. For every fact, tell me where I should check it (their website, annual report, recent press release). Mark anything you are unsure about.

Then open the company’s own site and recent news yourself and check each point. The University of Manchester’s careers service goes further: the organisation’s own advice about its interview process should be your primary source, with AI as a helper (University of Manchester Careers, AI interview prep). If you want a deeper method for this kind of research, our guide on using AI for market research shows how to keep the sources attached to every claim.

Prepare your own questions for them

“Do you have any questions for us?” comes at the end of almost every interview, and “no, I think you covered everything” wastes it. Ask the AI for help, but feed it your actual concerns:

Here is what I want to know before I would accept this job: [e.g. how success is measured in the first 6 months, how the team works with sales, why the role is open]. Turn these into 4 short, friendly questions I can ask the interviewer. No flattering questions, nothing I could find on their website in two minutes.

A worked example: from job ad to mock round

Here is how it played out for a made-up candidate, Lena, applying for an operations coordinator role at a mid-sized logistics company. The details are fictional; the process is the one above.

Step 1 output (shortened): the AI picked out “coordinating between warehouse and customer service”, “keeping shipment data accurate” and “handling urgent escalations”, each with the line from the ad. It flagged her evidence for data accuracy as thin, because her CV only said “maintained spreadsheets”.

Step 2: Lena described, by voice, the week a supplier renumbered its products without warning. The AI asked what she noticed first, what she changed, and what happened after. Her bullets:

S: Supplier switched its product numbers overnight; our orders started showing the wrong items.
T: Find the mismatches before the next morning's shipments went out.
A: Pulled the order list, matched old and new numbers in a lookup sheet, asked the supplier to confirm the 12 I wasn't sure about, then briefed customer service on what to tell affected customers.
R: Next morning's shipments went out correct. We added a check for supplier numbering changes to the weekly routine.
Missing: how many orders were affected? (Lena to check her notes.)

Notice the last line. The AI did not invent a number; it told her to find one.

Step 4: in the mock round, her first answer to “tell me about a time you caught a mistake” took nearly three minutes and buried the result at the end. The feedback: lead with one sentence of situation, get to the action faster, and say the result clearly. The follow-up question was “what would you do differently?”, which she had not thought about. That became the answer she redid in Step 5.

Is it OK to use AI to prepare for an interview?

For preparation, yes. Even AI companies say so. Anthropic’s guidance for its own job candidates encourages using Claude to research the company, practise answers and prepare questions for the interviewers. The same page draws two clear lines: no AI help during live interviews unless they say otherwise, and no using AI to create experiences you have not had (Anthropic, Guidance on Candidates’ AI Usage).

That is a sensible rule for any employer:

• Fine: predicting questions, shaping your real stories, mock interviews, company research, preparing your questions.
• Not fine: stories that did not happen, numbers you cannot back up, or an AI feeding you answers during the real interview or a test, unless the employer explicitly allows it.
• When unsure: check the employer’s careers page or ask the recruiter. Some companies publish their own rules.

What not to paste into the chat

Interview prep pulls in a lot of personal and work detail, so a quick check before you paste:

• Your contact details and ID numbers: leave them out of the CV you paste. The AI only needs your experience.
• Your current employer’s confidential information: client names, internal figures, unreleased plans. Describe it in general terms (“a large retail client”, “about a third of our orders”) instead.
• Voice recordings: know what is kept. OpenAI’s help page says audio clips from its real-time voice conversations are stored with the chat transcript and kept for 30 days, and that deleting the chat also deletes the clips. Check the settings of whichever tool you use.

ChatGPT, Claude or Gemini for interview prep?

All three handle Steps 1 to 3 and the company research well, as long as you give them the job ad and your real material. The difference is mostly in the mock interview:

• ChatGPT: a voice option on your phone and in the browser, with a transcript you can review afterwards.
• Gemini: Gemini Live is a good spoken sparring partner on your phone, and it suits you if you already live in Google’s apps.
• Claude: very good at the typed parts: decoding the job ad, shaping stories and giving honest, detailed feedback on a written answer.

Use the one you already pay for or have open all day. If you are new to these tools, start with our ChatGPT tutorial for beginners or the Claude tutorial for beginners.

Common mistakes (and the quick fix)

• Asking for “common interview questions”: you get the generic list. Fix: always start from the job ad (Step 1).
• Letting the AI write your stories: they fall apart at the first follow-up. Fix: you talk, it asks questions, it only orders your facts.
• Only typing: you practise writing, not speaking. Fix: answer out loud, even if the AI only reads text.
• Asking for praise: “was that good?” gets you “great answer!”. Fix: ask for the one change that would improve it most.
• Memorising the AI’s wording: you sound rehearsed and get thrown by a reworded question. Fix: learn your bullet points, not sentences.
• Trusting the company briefing: one wrong fact in the interview costs more than no fact. Fix: check every point on the company’s own pages.

FAQ

Can ChatGPT do a mock interview?

Yes. Give it the job ad, tell it to act as the interviewer, ask one question at a time and wait for your answer, and give short feedback after each one. The prompt in Step 4 does exactly that. Using ChatGPT Voice makes it feel much closer to a real interview than typing.

How long before the interview should I start?

Two or three days is comfortable: Steps 1 to 3 on the first evening, a mock round on the second, and a short redo of your weakest answer the day before. If the interview is tomorrow, do Step 1, prepare your three strongest stories and run one mock round.

Does this work for technical interviews?

For the conversational parts, yes: explaining past projects, walking through a decision, talking about trade-offs. For a coding or practical test, check the employer’s rules first. Anthropic, for example, asks candidates to do take-home assessments without AI unless it says otherwise.

Can AI replace a mock interview with a real person?

Not fully. MIT points out that AI can help with the structure and content of your answers but not with fine-tuning your delivery, and suggests pairing AI practice with a real-life mock interview. Use AI for the repetitions, and a friend, mentor or your career service for one final run-through.

What if the AI’s feedback seems wrong?

Push back. Tell it what the role really involves or why the answer works for this employer, and ask it to reassess. The AI is a sparring partner, not a judge.

Need a longer talk after the interview circuit, a meetup pitch or an all-hands update? The same “your facts, AI’s structure” rule applies in how to write a speech with AI.

Your next 30 minutes

Open a new chat, paste the job ad and your CV (contact details removed), and run the Step 1 prompt. Pick the skill where your evidence is thinnest and build that story with Step 2. You will walk out of those 30 minutes knowing your weakest question, and already having a real answer for it.

Still polishing the application itself? Our guides on using AI to write a resume, writing a cover letter with AI and writing your LinkedIn profile with AI use the same rule: your facts, AI’s help with the wording. Sitting on the other side of the table? See how to use AI to create interview questions. And for more practical AI workflows you can use at work this week, start with the free Launchpad on our home page.

Did the interview go well and an offer is on the table? Our guide on how to use AI to negotiate salary helps you research a fair range, plan your counter and rehearse the conversation before you reply.