# Market and Audience Research with ChatGPT > How marketers use ChatGPT for audience research: review mining, survey analysis, interview synthesis and persona building with copyable prompts. Source: https://mentionx.ai/learn/chatgpt/chatgpt-market-audience-research Author: Dipuck Jones, founder of MentionX Updated: 4 November 2026 Level: Practitioner **ChatGPT turns raw customer input into patterns fast: it can sort hundreds of reviews, summarise interviews and draft personas, as long as you give it the input and check its quotes.** It can't talk to your customers, so treat any persona built without real data as a guess. > **Key takeaways** > > - Upload reviews, surveys or transcripts as files; data analysis handles larger sets than pasting. > - Ask for verbatim quotes with each theme so you can check them. > - Remove personal data before upload, and know your plan's training setting. > - Use search or deep research for public market facts, with citations. > - Supported audio uploads let you transcribe and summarise interview recordings. *Checked 4 November 2026 (CET) against OpenAI help center articles and chatgpt.com pages. ChatGPT changes often, so confirm plan details in your own account. "Our view" marks MentionX opinion. Ledgerline is a fictional company used for illustration.* ## Which research jobs suit ChatGPT? | Job | Input | Output | |---|---|---| | Review mining | Exported reviews (CSV) | Themes, frequency, quotes, objections | | Survey analysis | Survey export | Segment differences, open-text themes | | Interview synthesis | Transcripts or recordings | Jobs, pains, triggers, quotes | | Persona drafts | All of the above | Evidence-based personas | | Market sizing inputs | Public sources via search | Sourced figures you verify | OpenAI's data analysis article supports spreadsheets, PDFs and text files, and asks for descriptive headers and one record per row. ChatGPT also accepts supported audio files, so you can transcribe and summarise interview recordings; OpenAI notes transcription quality may vary across languages. ## How do you mine reviews? ``` REVIEW MINING Attached: [n] reviews of [our product / Competitor A] as CSV with columns rating, date, text. 1) Classify each review into themes (max 8). Show counts. 2) For each theme give three verbatim quotes, with row numbers. 3) List the top objections and the words customers use for them. 4) Compare themes in 1-2 star vs 4-5 star reviews. Don't paraphrase quotes. ``` Then check: open three of the quoted rows yourself. If a quote doesn't match, ask ChatGPT to re-run with stricter instructions. ## How do you synthesise interviews? ``` INTERVIEW SYNTHESIS Attached are [n] interview transcripts (names removed). For each, extract: role, trigger that started their search, alternatives considered, the job they hired us for, and the exact phrase they used for their main pain. Then summarise patterns across interviews in a table, with how many interviews mention each. ``` ## How do you build personas that aren't fiction? Ask ChatGPT to build personas only from the synthesis, and to show the evidence. ``` EVIDENCE-BASED PERSONAS Using only the synthesis above, draft 2-3 personas. For each: goals, pains, triggers, objections, channels, and the quotes that support each line. Mark anything inferred as [INFERRED]. ``` *Our view:* the [INFERRED] tag is the most useful line in that prompt. It shows you which parts of a persona are research and which are ChatGPT's guess. ## Where does public market data come in? For category size, trends or competitor facts, use search or deep research (lesson 10) and ask for citations. Open each cited source and check the number is there, current and about the right market. Never quote a market-size figure from ChatGPT without its source. > **Pro move:** run the same review-mining prompt on your reviews and on Competitor A's. The themes customers praise in a competitor and complain about in you are your clearest messaging gaps. ## Worked example: Ledgerline's review mining *Ledgerline is a fictional accounts-payable tool. Details are illustrative.* Ledgerline exported 400 of its own reviews and 300 of Competitor B's from a review site. Personal names were stripped first. ChatGPT found that "approval speed" led Ledgerline's positive reviews, while "setup took weeks" was the top complaint. Competitor B's reviews praised onboarding. The team checked ten quotes against the CSV; one had been merged from two reviews, so they reran with "quote one row only". The finding fed a new onboarding page and a testimonial request to customers who'd praised setup. ## What should you check before the next lesson? - Export one review or survey set and remove personal data. - Run the review-mining prompt and spot-check five quotes. - Draft one persona with [INFERRED] tags and decide what to research next. - The Claude track's version is [Claude customer review mining](https://mentionx.ai/learn/claude/claude-customer-review-mining). Next: [Content with ChatGPT: blogs, landing pages and ads](https://mentionx.ai/learn/chatgpt/chatgpt-content-blogs-landing-pages-ads). Or return to the [ChatGPT for Marketers track](https://mentionx.ai/learn/chatgpt/chatgpt-for-marketers). ## Common questions **Can ChatGPT replace customer interviews?** No. It can synthesise interviews, reviews and surveys you collect, but it has no access to your customers. Personas built without real input describe an average buyer, not yours. **How many reviews can I paste into ChatGPT?** It depends on your plan context window and the file size. For large sets, upload a CSV and use data analysis, which handles more rows than pasting. **Is it safe to upload customer data?** Remove names, emails and other personal data first, and use a Business workspace or switch off model training on a personal plan. ## Sources - OpenAI Help Center, [Data analysis with ChatGPT](https://help.openai.com/en/articles/8437071) - OpenAI Help Center, [ChatGPT release notes](https://help.openai.com/en/articles/6825453) - OpenAI Help Center, [Deep research in ChatGPT](https://help.openai.com/en/articles/10500283) - OpenAI Help Center, [Searching the web with ChatGPT](https://help.openai.com/en/articles/9237897) - OpenAI Help Center, [Data controls in ChatGPT](https://help.openai.com/en/articles/7730893) All accessed 4 Nov 2026. ## Frequently asked questions ### Can ChatGPT replace customer interviews? No. It can synthesise interviews, reviews and surveys you collect, but it has no access to your customers. Personas built without real input describe an average buyer, not yours. ### How many reviews can I paste into ChatGPT? It depends on your plan context window and the file size. For large sets, upload a CSV and use data analysis, which handles more rows than pasting. ### Is it safe to upload customer data? Remove names, emails and other personal data first, and use a Business workspace or switch off model training on a personal plan. --- Written and reviewed by Dipuck Jones for MentionX Learn. The HTML version of this page: https://mentionx.ai/learn/chatgpt/chatgpt-market-audience-research