A decision guide, by research job
Best AI for market research: choose by the job, not the model
“Market research” covers five different jobs, and AI chat is useful for some of them and irrelevant to others. Start with the job. Then decide what to buy and what to verify.
Disclosure: ZeroTwo publishes this page and sells one of the options discussed. We have not tested other vendors' products for it, so it makes no claims about their features or prices.
- 01FieldworkAI drafts and critiques. It cannot collect.
- 02Licensed dataAI reads what you give it. It cannot log in for you.
- 03Secondary researchAI does the first pass. You verify the sources.
- 04Qualitative codingAI proposes codes. You review them.
- 05Quantitative analysisAI writes and explains the analysis. You validate it.
What AI chat can and cannot do, job by job
The right-hand columns are the part generic listicles skip: what the job still needs from you, and the one check that protects you before the output goes in a report.
| Research job | What the job needs | What AI chat can do | What it cannot replace | Check before you use it |
|---|---|---|---|---|
| FieldworkPrimary data from real respondents | Real respondents, a sampling plan, consent and a way to reach them. | Draft and tighten questionnaires and discussion guides, flag leading or double-barrelled questions, outline quotas and a screener. | Recruit anyone or hear from your market. Text an AI invents is not a response from your customers. | Pilot the instrument with a handful of real people before it goes out. |
| Licensed dataSyndicated reports and paid datasets | A licence for the data, consistent definitions across sources and a clean extract. | Analyse exports and PDFs you supply, reconcile definitions between sources, summarise a report and draft the comparison tables. | See anything behind your subscription that you have not provided in the chat. | Confirm your licence allows uploading the data to a third-party tool, then re-read each figure against the source table. |
| Secondary researchDesk research from public sources | Findable, dated, citable sources and a clear question. | Run searches, shortlist sources, pull out the claims that matter and draft a brief with links. ZeroTwo has web search and deep research (150 a month on Plus, included on Pro and above). | Guarantee that a cited page says what the summary says, or that the page is the primary source. | Open every link, match each number to its passage and note the publication date. |
| Qualitative codingInterviews, open-ends and reviews | Transcripts or responses with identifiers removed, a coding frame and consistent application of it. | Suggest a coding frame, apply it across hundreds of responses, count theme frequency and surface candidate quotes. | Know the context you did not give it. A quote it returns may be paraphrased. | Code a sample yourself and compare, and confirm every quoted line appears verbatim in the transcript. |
| Quantitative analysisSurvey data, sales data, market sizing | Clean data, known weighting, base sizes and the right tests. | Write and explain code or SQL, run descriptive statistics on an export, suggest tests and draft the sizing model with its assumptions listed. | Repair a weak sample or invent a base size the data does not have. | Re-run the key numbers independently, check weights and bases, and read the code before you rely on it. |
Swipe the table sideways for every column. This matrix is our own reading of how the work is structured, not a benchmark. Ready to run the desk-research and analysis rows? Follow the steps to run a source-backed market research workflow. If the quantitative rows live in a database, see how to analyse a database with pasted schema and SQL.
Who should buy what
Our recommendation, including the cases where ZeroTwo is not the answer.
Choose a research platform or agency if
You need data nobody has collected yet
You need respondents, a representative sample or defensible primary data for a decision or a report. Software that analyses text cannot supply that, and ZeroTwo is not a panel.
Choose a general AI workspace such as ZeroTwo if
You already hold the data or the sources
You have transcripts, exports, reports or a desk-research question and need synthesis, coding, analysis and drafting in one place, with a choice of models.
Use both when
A platform collects and AI helps you process
This is the common shape of real projects: fieldwork or licensed data in, then AI-assisted coding, analysis and reporting on the exported results.
Desk research without fooling yourself
Secondary research is where AI saves the most time and where a confident, wrong summary does the most damage. Web search and deep research give you sources to inspect. These four habits turn them into evidence.
Open every link
A citation is a lead, not a verification. Click through and confirm the page exists and is the one the summary describes.
Match the number to the passage
Find the sentence or table cell the figure came from. If you cannot find it, treat the figure as unsupported.
Date everything
Market size, share and pricing figures age quickly. Record the publication date next to each claim in your notes.
Prefer the primary source
If the summary cites a blog quoting a report, go to the report. If you cannot, say the figure is second-hand.
Where AI sits in a research project
Traditional projects run brief, design, fieldwork, analysis, report. AI can speed up the stages around fieldwork. It does not remove the stage in the middle, and it does not remove your accountability for the conclusions.
Stage 1
Design
- AI can
- Drafts and critiques the questionnaire or guide.
- You
- Decide the question, the audience and what a useful answer looks like.
Stage 2
Collect
- AI can
- Nothing. This stage is outside AI chat.
- You
- Field the survey, run the interviews, license the data.
Stage 3
Code and clean
- AI can
- Proposes a coding frame, applies it, flags duplicates and odd rows.
- You
- Review a sample of the coding and fix the frame.
Stage 4
Analyse
- AI can
- Writes the code or SQL, runs descriptive statistics, drafts the sizing model.
- You
- Re-run key numbers, check bases and weights.
Stage 5
Report
- AI can
- Drafts the narrative and the tables from your verified findings.
- You
- Own the conclusions and every claim in them.
Run your own same-brief comparison
We have not published matched-task results for this page, so we will not rank tools or models for you. A fair test takes an afternoon and tells you more than any list, because it uses your brief.
- Pick one brief you can check: a market you already know, with several facts you can verify at the source.
- Freeze the inputs: the same prompt, the same files, the same day.
- Run it on each candidate. That can be two models in ZeroTwo and, if you use one, your current research tool.
- Score every output blind against the rubric.
- Record the tool, model, date and settings, and repeat the test when something changes.
| Criterion | How to score it | Red flag |
|---|---|---|
| Figures | Check each number against its source. | A figure with no findable source. |
| Sources | Are they real, relevant, dated and primary where possible? | Links that load but do not contain the claim. |
| Coverage | Does the output answer every part of the brief? | A fluent answer to a narrower question. |
| Honesty about gaps | Does it say what it could not find? | Confident filler where evidence is thin. |
| Time and cost | Hours to a usable draft, plus subscription or usage cost. | Fast output that needs a full rewrite. |
Models you can compare in ZeroTwo
You choose the model for each chat, so the comparison above is cheap to run. Availability depends on your plan, and the model list shows what is current.
GPT-5
OpenAI
Claude Sonnet 4.5
Anthropic
Gemini 2.5 Pro
Google
Gemini 3 Pro
Google
Grok 4
xAI
Sonar
Perplexity
- Pro per month, or $26.99/mo billed annually
- $29.99
- Deep research runs on Plus, drawing on credits; included on Pro and above
- 150/mo
- Free credits to start, plus 20 bonus credits every day you log in
- 100
Plan details come from the pricing page, and paid plans run on monthly credit and Auto-request allowances.
When not to use AI for market research
Know these failure modes before you build a research process around AI.
Primary data collection
AI cannot survey real respondents. Use fieldwork for primary research and let AI process the output.
Data you are not licensed to upload
Reports and datasets often carry licence terms. Check them before pasting or uploading content into any AI tool.
Personal data about respondents
Remove names, emails and other identifiers before analysis, and check the consent you collected and the privacy policy.
Decisions that need a live, authoritative figure
Search results and model memory can lag. For live pricing or stock data use the authoritative source directly.
Plausible but invented numbers
Models can produce figures that sound right. Verify every statistic against its source before it goes in a deck.
Frequently asked questions
What is the best AI for market research?
It depends on the job. Fieldwork needs respondents, so it needs a research platform or agency, not an AI chat. Licensed datasets need access you control. Desk research, qualitative coding and quantitative analysis are where a general AI workspace helps most, as long as you verify sources, quotes and numbers.
Can AI replace primary market research?
No. AI can draft and critique your instruments and speed up processing the results, but it cannot supply responses from real people in your market. Text it generates is not primary data.
How does AI help with competitor analysis?
It can search public sources, pull out the claims that matter and draft a structured brief with links. You still need to open the sources, confirm each claim and date it, because competitor pages change and summaries can misstate them.
Which AI is best for survey analysis?
We do not rank models for this. Export the responses, remove personal data, ask for a coding frame, apply it, and compare the result with your own coding on a sample. Run the same task on two models and keep the one that matches your judgement.
How much does AI market research software cost?
Dedicated research platforms price by plan and sample, so check each vendor directly. ZeroTwo Pro is $29.99/month ($26.99/month billed annually). That buys a general AI workspace with monthly credits, not respondents or licensed datasets.
How should I check an AI-generated market size?
Treat it as a hypothesis. Ask for the formula, the inputs and a source for each input, rebuild the calculation in a spreadsheet, and check every input at its source. If an input has no source, mark it as an assumption.
Can AI analyse qualitative research data?
Yes, as a first pass. It can propose and apply a coding frame and count themes across many responses. You should review a sample of the coding, and confirm each quote appears verbatim in the transcript.
Does ZeroTwo pick the right model for each task automatically?
This page does not claim that. You choose the model for each chat, and the sensible way to choose is to run the same prompt on two models and compare the results against your own checks.
Related guides and tools
- AI market research tool
The step-by-step research workflow, from brief to sourced report.
- Market research tool
A shorter overview of ZeroTwo for research tasks.
- Deep research
Multi-step research across many sources, on Plus and above.
- Web search
Search with citations that you can open and check.
- Analyse a database
Paste a schema and get SQL for quantitative questions.
- Market development assistance
Turn research into a go-to-market decision.
- AI in marketing
Where marketers use AI beyond research.
- Competitor intelligence monitor
An agent use case for tracking competitor changes.
- Survey insight report
An agent use case that clusters open-ended survey themes.
- Market sizing research
An agent use case for sizing a market from first principles.
SaaS operators can also read the SaaS expansion revenue playbook, SaaS knowledge base software guide, and SaaS metrics for startups.