# Market and audience research with Perplexity

> Use Perplexity for market sizing sources, trend scans, audience pain points and voice-of-customer research, with prompts and checks.

Source: https://mentionx.ai/learn/perplexity/perplexity-market-audience-research  
Author: Dipuck Jones, founder of MentionX  
Updated: 5 November 2026  
Level: Practitioner

**Perplexity is very good at three market research jobs: finding and comparing published sources (market estimates, regulations, analyst views), scanning for trends with date filters, and collecting the words your audience uses (from reviews, communities and forums). It is bad at inventing numbers, so don't ask it to. Use it to collect evidence quickly, then do the analysis yourself in a spreadsheet you control.**

> **Key takeaways**
>
> - Ask for sources of market estimates, never "the market size". Compare at least three and note their methods.
> - Build bottom-up sizing from inputs Perplexity can source (company counts, prices, adoption) and do the maths yourself.
> - Use Social sources and review text for voice-of-customer language. It's qualitative, not representative.
> - Mix in your own call notes inside a Project, and label which findings are internal and which are public.

*Checked 5 November 2026 (CET) against the Perplexity Help Center, Perplexity blog, Perplexity API docs and the outlets cited in Sources. Perplexity renames and moves features often, so confirm labels and limits in your own account. "Our view" marks MentionX opinion. Ledgerline is a fictional company used for illustration.*

## What market research questions suit Perplexity?

| Question type | Good fit? | Mode | Watch out for |
|---|---|---|---|
| "Who has published estimates for X market?" | Yes | Research | Paywalled reports quoted second-hand |
| "What regulations affect X in country Y?" | Yes | Research, official sources only | Dates and effective dates |
| "What are buyers complaining about in X?" | Yes | Pro Search with Social and Web | Loud minorities |
| "What's trending in X this quarter?" | Yes | Pro Search with recency rules | Hype pieces |
| "How big is the X market?" | Only as a source hunt | Research | Invented or blended numbers |
| "What will X be worth in 2030?" | Weak | | Forecasts without methodology |

## How do you build a market sizing source sheet?

1. **Hunt for published estimates.**
```
Find published market size estimates for accounts-payable automation software. Table: publisher, year published, market definition, region, value, CAGR if given, methodology note, URL. Exclude press-release aggregators that don't name the original publisher.
```
2. **Compare definitions.** Estimates differ mostly because definitions differ (software only or with services, global or regional).
3. **Source bottom-up inputs.**
```
Find official or reputable sources for: number of US companies with 200–2,000 employees; typical AP software price per month for mid-market; adoption rate of AP automation in mid-market (cite survey and sample size).
```
4. **Do the maths yourself.** Companies × adoption headroom × price × 12, in a sheet with every input linked.
5. **Sense-check with Model Council** (if you have it). "Here is our bottom-up model. Which inputs are weakest?"

*Our view:* a bottom-up model with linked inputs is far more persuasive to a CFO than a big top-down number from a report you can't read.

## How do you scan for trends?

Use date windows and source rules:

```
What changed in AP automation in the last 90 days? Cover product launches, regulation, funding and analyst commentary. Only use sources published after [date]. Table: date, change, source, why it matters for mid-market finance teams.
```

Follow up with "Which of these are likely to matter in 12 months, and what evidence supports that?" Perplexity will give reasons. You decide which you believe.

For recurring scans, the API's `search_recency_filter` or `search_after_date_filter` makes this reproducible. Perplexity's cookbook includes a news-monitor example using recency and domain filters ([lesson 11](https://mentionx.ai/learn/perplexity/perplexity-api-agent-search-marketers)).

## How do you collect voice-of-customer language?

Choose Social plus Web sources, then ask:

```
Search community threads and review text from the last 12 months where finance managers discuss accounts-payable problems. Extract exact phrases they use to describe pain, grouped into themes. Include the link for each quote. Do not paraphrase.
```

Then:

```
For each theme, what words do they use for the outcome they want? Which competitor names come up, and in what context?
```

Use the output for:

- **Headlines and ad copy.** Use buyers' words, not yours.
- **FAQ content.** Turn real questions into answer-first sections (see [lesson 15](https://mentionx.ai/learn/perplexity/perplexity-content-formats-get-cited)).
- **Prompt sets.** Real phrasing makes better tracking prompts ([lesson 19](https://mentionx.ai/learn/perplexity/perplexity-share-of-citations-tracking)).

> **Pro move:** ask Perplexity to sort quotes into "problem aware", "solution aware" and "vendor aware". Each stage needs different content, and you'll see which stage your site has nothing for.

## How do you combine public research with your own data?

Inside a Project:

1. Upload anonymised call notes, survey exports or support tags. Check your data policy first.
2. Ask "Compare themes in the attached call notes with themes in public reviews. Label each theme as internal only, public only, or both."
3. Themes found only in your internal data are differentiated insight and good content angles.
4. Public-only themes show where competitors' customers are unhappy.

Enterprise plans add data protections. On personal plans, don't upload anything you wouldn't send to a vendor.

## How do you check market research before using it?

| Check | How |
|---|---|
| Original source | Click through to the publisher, not an aggregator |
| Definition match | Same market definition as yours? |
| Date | Publication date within 24 months for market data, 12 months for trends |
| Method | Survey sample size, or a modelled estimate? |
| Independence | Vendor-funded study? Note it |
| Representativeness | Community quotes are qualitative only |

## Worked example: Ledgerline

*Ledgerline is a fictional accounts-payable software company. Details are illustrative.*

Ledgerline's board asked for "the size of our market". Marketing used Perplexity to build a source sheet instead of quoting one number.

| Step | Output |
|---|---|
| Estimate hunt | Five published estimates found. Two were reprints of the same report |
| Definition check | Estimates ranged widely, mostly because some included services and some covered only large enterprises |
| Bottom-up inputs | Company counts from an official statistics source, price ranges from competitor pricing pages, an adoption figure from a named survey |
| Voice of customer | 40 quotes in six themes. "Month-end crunch" came up most often in community threads |
| Internal comparison | "Approval chasing" was common in sales calls but rare in public reviews, which made it a differentiated content angle |

### Walkthrough

1. Ran the estimate-hunt Research prompt and removed duplicates.
2. Built a definitions table to explain the spread.
3. Sourced three bottom-up inputs and calculated a range in a sheet.
4. Ran the voice-of-customer prompts with Social sources.
5. Uploaded anonymised call notes to the Project and ran the comparison prompt.
6. Presented a range with linked inputs, and the "approval chasing" content angle.

## Common mistakes

- **Asking for "the" market size.** You'll get a number without a method.
- **Citing aggregators.** Always find the original publisher.
- **Treating Reddit as a survey.** It's language, not statistics.
- **Uploading sensitive data to a personal plan.** Check policy and plan protections first.

## Try it yourself

Run the voice-of-customer prompt for your category. Collect 20 exact quotes, sort them into themes, and compare them with your homepage headline. Is your headline in your buyers' words? Rewrite it if not.

## Quick quiz

**1. Why do published market estimates differ so much?**

*Answer:* Mostly because the market definition, region and method differ.

**2. What should you do with a number Perplexity gives without a named source?**

*Answer:* Don't use it. Find the original source or mark it unknown.

**3. What is community-thread evidence good for?**

*Answer:* Language and themes (qualitative), not representative statistics.

## What should you check before the next lesson?

- A market source sheet with definitions and linked inputs exists.
- You have at least 20 voice-of-customer quotes in themes.
- You know which themes appear only in your internal data.

Previous: [Competitor research with Perplexity](https://mentionx.ai/learn/perplexity/perplexity-competitor-research). Next: [SEO and content briefs](https://mentionx.ai/learn/perplexity/perplexity-content-briefs-seo). Or return to the [Perplexity for Marketers track](https://mentionx.ai/learn/perplexity/perplexity-for-marketers). Related: [Search modes and Research](https://mentionx.ai/learn/perplexity/perplexity-search-modes-research), [ChatGPT market and audience research](https://mentionx.ai/learn/chatgpt/chatgpt-market-audience-research).

## Common questions

**Can Perplexity size my market?** It can find and compare published estimates and the inputs for a bottom-up model. It shouldn't invent a market size, so always trace each number to a named source.

**Is Social search good for audience research?** Yes for language and pain points, because it pulls community threads. It isn't representative, so treat it as qualitative evidence.

**How do I combine Perplexity with my own customer data?** Upload call notes or survey exports into a Project and ask Perplexity to label each finding as internal or public, then compare the two.

## Sources

- Perplexity Help Center, [What is Pro Search?](https://www.perplexity.ai/help-center/en/articles/10352903-what-is-pro-search)
- Perplexity API docs, [Search News Monitor](https://docs.perplexity.ai/docs/cookbook/examples/search-news-monitor/README)
- Perplexity API docs, [Search Date and Time Filters](https://docs.perplexity.ai/docs/search/filters/date-time-filters)
- All accessed 5 Nov 2026.

## Frequently asked questions

### Can Perplexity size my market?

It can find and compare published estimates and the inputs for a bottom-up model. It should not invent a market size, so always trace each number to a named source.

### Is Social search good for audience research?

Yes for language and pain points, because it pulls community threads. It is not representative, so treat it as qualitative evidence.

### How do I combine Perplexity with my own customer data?

Upload call notes or survey exports into a Project and ask Perplexity to label each finding as internal or public, then compare the two.

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Written and reviewed by Dipuck Jones for MentionX Learn. The HTML version of this page: https://mentionx.ai/learn/perplexity/perplexity-market-audience-research