Short answer: ChatGPT can run a decent PM mock interview if you write a good prompt, bring your own questions and judge its feedback yourself. AllthingsPM does all of that setup for you: paste any job description and an AI interviewer built for product managers asks role-specific questions, follows up on what you said and scores you, by voice or text. It sits on top of 4,122 real PM questions from 260 companies, each with its own answer guide, for $20 a month or $120 a year with a free tier.
AllthingsPM is an AI PM course and PM interview prep platform. ChatGPT is a general assistant from OpenAI. This post compares them only on one job: getting you ready for a product manager interview loop.
AllthingsPM vs ChatGPT at a glance
| AllthingsPM | ChatGPT | |
|---|---|---|
| Built for | PM interviews and AI PM careers | Any task |
| Setup before a mock | Pick a question or paste a job description | Write and maintain your own interviewer prompt |
| Mock built from a pasted job description | Yes, the JD mock shapes the interview to the role | Possible if you paste the JD and prompt it well |
| Where questions come from | 4,122 real PM questions from 260 companies, each with a page and answer guide | Generated by the model unless you supply them |
| Follow-up questions | Built in, anchored to your answer | Only if your prompt asks for them |
| Voice or text | Both, switch any time in one session | Both, with voice limits that vary by plan |
| Scoring | A score on every mock against the question or role | Whatever format you ask for; can vary between chats |
| Company prep | A hub per company, 116 live AI company PM roles with their own mocks | None built in |
| Learning material | AI PM course: 14 chapters, 101 lessons, 14 graded case studies | General explanations on request |
| Resume tools | Resume review against a JD, Resume Job Match | Edits resumes if you paste them |
| Free plan | Question bank and answer guides, first course lessons, 1 JD mock and 1 JD resume review a day | Free tier with usage limits |
| Paid plan | $20/month or $120/year (₹1,200/month or ₹8,400/year) | Plus about $20/month; Pro up to $200/month |
Prices checked September 26, 2026. AllthingsPM prices from AllthingsPM/pricing. ChatGPT plan prices as reported by IntuitionLabs in its plan comparison updated August 30, 2026; OpenAI's pricing page could not be loaded by our tools that day.
Can ChatGPT run a PM mock interview?
Yes, within limits. The common approach is a role-play prompt. Careerflow's guide suggests telling ChatGPT to "Act as an Interviewer for the role of a product manager at {Company}. Ask me 5 questions one by one, wait for my response, and then tell me how I did." LogRocket and Jobright publish similar prompt lists for PM job seekers.
That works for a first pass. ChatGPT will ask a plausible product sense or metrics question, wait, and give feedback in the format you requested. For drafting STAR stories and tightening a written answer, it is genuinely useful.
The trouble starts when you want the practice to feel like a real loop:
- You are the interview designer. Question mix, difficulty, follow-up style and the scoring rubric all live in your prompt. If the prompt is vague, the interview is vague.
- The questions are generated. Unless you paste them in, ChatGPT invents questions that sound right. You cannot tell whether Meta or Anthropic actually asks anything like them.
- The feedback drifts. MockIF, which sells a competing tool, lists "no structured scoring" among ChatGPT's gaps, saying it gives inconsistent feedback without a fixed rubric. Treat that as a vendor view, but it matches the design: each chat judges you fresh.
How AllthingsPM does this: you skip the prompt entirely. Open any question in the question bank, press practice, and the AI interviewer asks it, pushes on your reasoning with follow-ups and returns a score. Then the answer guide on the same page shows you what a strong answer covers.
What does a purpose-built PM mock tool add?
Three things matter most in mock practice: realistic questions, follow-ups that react to your answer, and feedback you can compare from one session to the next. Here is how each one differs.
Real questions from real companies
Our question bank holds 4,122 PM questions from 260 companies, every one on its own page with an answer guide. Counts include 948 from Google, 757 from Meta, 105 from Anthropic and 98 from OpenAI. Each company has a hub, such as OpenAI, so you can drill the loop you are actually facing.
Some are about ChatGPT itself. If you are interviewing at OpenAI, you might get something like how would you improve ChatGPT's memory feature for power users? or what metrics would you track to measure the success of ChatGPT Projects?. ChatGPT can discuss those; it cannot tell you they are in the bank of questions candidates report.
Follow-ups that are always on
A real PM interviewer rarely lets your first answer stand. "Why that user segment?" "What would you cut to ship in six weeks?" "Which metric would tell you it failed?" In ChatGPT you only get those if your prompt asks for them, and the model may still move on after one exchange.
On AllthingsPM, follow-ups are part of every mock. The interviewer reads what you said and probes the weakest part of it before scoring.
Feedback you can track
Because every AllthingsPM mock runs against the same question or the same job description, you can repeat a session a few days later and see whether your score and the follow-ups that caught you have changed. That is how you know practice is working.
How AllthingsPM does this: start a session in practice, answer by voice or text, and the score arrives with notes tied to the question. Repeat the same question later, or run a second JD mock on the same posting, and compare.
Is ChatGPT voice mode good enough for interview practice?
Speaking matters. Revarta puts it bluntly: "Typing and speaking are different skills. And ChatGPT only helps with one of them." ChatGPT does have voice conversations, which narrows that gap, but writers who tried it found limits.
Quinten Epting, testing ChatGPT voice mode for interview prep on MakeUseOf, noted that it "sometimes gave repetitive responses, especially with niche, technical topics". Body language and eye contact, he added, "are outside its scope". Voice usage also has plan-based limits, and IntuitionLabs reports that voice on the free tier has separate limits from text.
None of that makes ChatGPT voice useless. It makes it an unstructured conversation partner rather than a PM interviewer.
How AllthingsPM does this: our mock interview is one session screen with a Type and Voice switch, so you can speak your answer, drop to typing for a tricky estimate, and switch back. The interviewer, follow-ups and score behave the same either way, and the free tier does not cap voice separately.
Which is better for AI PM interviews?
AllthingsPM, clearly. AI company loops increasingly test evals, model tradeoffs, agent failure modes and AI product metrics. ChatGPT knows a lot about those topics, but it does not know which of them hiring managers actually ask about or how the role you want weighs them.
Our AI PM course was built backwards from 604 real PM job postings, as covered in our state of AI PM hiring report, and is updated weekly. Lessons such as the AI product sense and execution rounds and the AI PRD teach what the rounds test, and the knowledge graph shows how the concepts connect.
Then the jobs catalog lets you rehearse on 116 live AI company PM roles, each with its own mock. For company detail, read our OpenAI PM interview guide and what OpenAI looks for in a PM.
How AllthingsPM does this: a mock on an AI company role exposes a gap, say evaluation design; the course has a lesson on it; the question bank has real questions to drill it. The loop from mistake to lesson to rehearsal happens in one product.
How much does each cost for interview prep?
| Plan | AllthingsPM | ChatGPT |
|---|---|---|
| Free | Question bank and answer guides, first course lessons, 1 JD mock and 1 JD resume review a day, Resume Job Match | Free tier with usage limits on voice, uploads and more |
| Monthly | $20 (₹1,200) | Plus about $20; Go and Pro tiers also listed |
| One year | $120 (₹8,400) | About $240 for twelve months of Plus |
| What paid adds for PM prep | Whole AI PM course with graded case studies, unlimited mocks and resume reviews | Higher limits on a general assistant |
Prices checked September 26, 2026. ChatGPT figures as reported by IntuitionLabs (updated August 30, 2026) and eesel AI.
Many candidates already pay for ChatGPT for work, so the fair question is what AllthingsPM adds on top. The answer is the parts ChatGPT does not ship: real questions with guides, a consistent interviewer, JD-based mocks, company hubs and a course. And if you do not already pay for ChatGPT, a year of AllthingsPM costs half of a year of Plus.
How AllthingsPM does this: start on the free tier. One JD mock and one JD resume review a day, plus every question and answer guide, is enough to judge whether it helps. Check pricing only after that.
How should you combine ChatGPT and AllthingsPM?
You do not have to pick only one. A split that plays to each tool's strength:
- Draft with ChatGPT. Brainstorm your behavioral stories and ask it to tighten them. Keep your own words; Revarta warns that hiring managers notice "overly formal language" and "generic buzzwords".
- Check your resume against the role on AllthingsPM. Run a resume review against the JD to see which responsibilities your resume does not yet prove. Those are where the interviewer will probe.
- Rehearse on AllthingsPM. Paste the posting into the JD mock and answer by voice. Save the follow-ups that caught you out.
- Study the gaps. Open the matching AI PM course lesson or the answer guides in the company hub.
- Test before you read. Answer five real questions out loud before opening their guides. Roediger and Karpicke (2006) found that testing yourself produced better recall a week later than restudying.
- Repeat the JD mock a few days later and compare the score.
If you want more on AI mock tools in general, see our guides to the best AI mock interview tools for product managers, free AI mock interviews for PMs and running a mock interview from any job description.
How AllthingsPM does this: steps 2 to 6 all happen in one account, and the free tier covers a daily JD mock and resume review, so you can run this plan for a week before paying anything.
Why AllthingsPM is the better choice for PM mock interviews
ChatGPT is a remarkable general assistant, and it is a fine place to draft stories or ask what a metric means. For the job of rehearsing a PM interview, AllthingsPM fits better on every point we could check:
- It is ready the moment you open it. No prompt to write, no rubric to invent, no need to remind the model to follow up.
- The questions are real. 4,122 PM questions from 260 companies, each with an answer guide, and a hub per company.
- It starts from your role. Mocks built from any job description you paste, plus 116 live AI company roles with their own mocks.
- It teaches, not only tests. A 14 chapter, 101 lesson AI PM course with 14 graded case studies, built from 604 job postings and updated weekly.
- It is cheaper for the job. $120 a year against about $240 for twelve months of ChatGPT Plus, with a free daily JD mock.
ChatGPT's real strength is breadth: it will help with anything, including your interview notes. Keep it for drafting. For practice that feels like the real loop, our verdict is AllthingsPM. Start a free JD mock or browse the questions.
Start today, free: paste the job description you most want into the JD mock, answer out loud, and by the end of one session you will know which follow-ups the real interviewer is likely to push on. No card needed.
Frequently asked questions
What is the best way to do a PM mock interview with AI?
AllthingsPM is the best choice for most PM candidates: it builds the mock from any job description, asks follow-ups, scores your answer and links you to answer guides for 4,122 real questions. ChatGPT can work if you write a detailed interviewer prompt, but you supply the questions and the rubric.
Can I use ChatGPT as a PM interviewer?
Yes. Tell it to act as a PM interviewer for a named company, ask one question at a time, wait for your answer and give structured feedback. Expect to rewrite the prompt often, and check its questions against real ones in a question bank.
Is ChatGPT voice mode good for mock interviews?
It helps you practise speaking, which matters. Testers have found it can repeat itself on niche topics and it cannot read body language, and voice use has plan limits. AllthingsPM's mock lets you switch between voice and text in the same scored session.
Does ChatGPT know real PM interview questions?
It can generate questions that sound like real ones, but it does not show where a question was asked. AllthingsPM lists 4,122 questions from 260 companies, each on its own page with an answer guide.
Is AllthingsPM cheaper than ChatGPT Plus?
Over a year, yes: $120 a year against about $240 for twelve months of Plus at $20 a month. Monthly, both are about $20, and both have free tiers. Prices checked September 2026.
Should I stop using ChatGPT for interview prep?
No. Use it to brainstorm and tighten stories, then rehearse them out loud on AllthingsPM, where the questions are real and the scoring is consistent.
Sources
- AllthingsPM, Pricing (plans and free tier, checked September 26, 2026)
- AllthingsPM, question bank and jobs catalog (counts as of September 2026)
- IntuitionLabs, "ChatGPT Plans 2026: Free vs Plus vs Pro Compared" (updated August 30, 2026)
- eesel AI, "ChatGPT pricing 2026: Plus, Pro, Business, and API costs"
- Careerflow, "How To Use ChatGPT to Crack Product Manager Interview"
- LogRocket, "How to use ChatGPT for your product management job search"
- Jobright, "20 ChatGPT Prompts for Job Interviews to Practice Smarter"
- MockIF, "Can You Use ChatGPT for Mock Interviews? What Works and What Doesn't"
- Quinten Epting, "I Used ChatGPT Voice Mode to Prepare for an Interview", MakeUseOf (November 3, 2024)
- Revarta, "Can ChatGPT Help With Interview Prep? Honest Answer" (updated March 11, 2026)
- Roediger and Karpicke, "Test-Enhanced Learning", Psychological Science (2006)
