MoeVox

Research data platform for content creators

Get research data to back your SEO and GEO content.

From research question to citable stats. 2 min · AI + real population modeling · structured report

Without data, you’re just another person with an opinion.

W. Edwards Deming, statistician

How it works

Set a research goal. Get a finished report in minutes.

STEP 1Define your question

Describe your research goal, the audience, and the options you want to test.

Your research goal

Which oat milk latte packaging performs better among U.S. coffee drinkers — taste-forward "Silky Oat Latte" or health-forward "Light Oat Latte"? Audience: U.S. residents, 18+, who drink coffee 2+ times a week.

STEP 2We generate the survey

MoeVox turns that goal into a structured questionnaire in seconds.

  • 1.Which of these two oat milk latte concepts do you find more appealing? · single choice
  • 2.What’s the main reason behind your choice? · single choice
  • 3.How likely are you to buy this product in the next month? · scale
  • 4.What concerns, if any, do you have about this product? · open text

STEP 3AI samples real population data

500 AI respondents answer, each grounded in real U.S. demographic records matching the target audience.

STEP 4Get a structured report

A clear winner, driver rankings per concept, and top concerns — ready to use.

Which of these two oat milk latte concepts do you find more appealing?

Silky Oat Latte (taste-forward)

67%

Top driver: taste and mouthfeeln=335

Light Oat Latte (health-forward)

26.6%

Top driver: health and nutritionn=133

Neither of these options

6.4%

Top driver: price and valuen=32

You can also download the raw survey sample data:

How you use it

Turn the report into a citable source in your article.

Every report has its own public link. Pull the headline number or finding straight into your draft, and link back to the full report as your source.

MoeVox report

“Among 500 U.S. coffee drinkers, the taste-forward Silky Oat Latte won with 67.0%, versus 26.6% for the health-forward Light Oat Latte.”

Structured report + raw data (Excel, JSON)

View the full report →

Without data

…packaging is often treated as an afterthought, but it can shift preference more than the recipe itself. When we tested two oat milk latte concepts with real U.S. coffee drinkers, the result was decisive: most people preferred the taste-forward option, more than double the health-forward concept. For brands weighing a taste-first versus health-first pitch, that gap is hard to ignore…

No source, no proof

Your article

Publish-ready

…packaging is often treated as an afterthought, but it can shift preference more than the recipe itself. When we tested two oat milk latte concepts with 500 real U.S. coffee drinkers, the result was decisive: 67.0% preferred the taste-forward Silky Oat Latte, more than double the health-forward concept, according to a MoeVox consumer study.

The taste-forward packaging won for a clear reason: 335 of the 500 respondents cited taste and mouthfeel as the top driver behind their pick. The health-forward "Light Oat Latte" trailed at 26.6% (133 respondents), where health and nutrition led the reasoning — a smaller but still meaningful segment worth targeting with different messaging.

Only 6.4% (32 respondents) picked neither option, most often citing price and value as their sticking point. For brands weighing a taste-first versus health-first pitch, that gap is hard to ignore…

Cited with report link

Why the data is authoritative

Built on 100,000 real U.S. residents.

Every AI respondent is drawn from the U.S. Census Bureau’s ACS PUMS dataset — structured demographic records of actual Americans, not invented profiles.

U.S. Census Bureau · ACS PUMS 2024

Each respondent is defined by

Age & generationGenderRace & ethnicityMarital statusEducation levelOccupationIndustryHousehold incomePersonal incomeRegionStateUrbanicityHousehold sizeChildren in householdInternet accessDevice availabilityEmployment statusClass of worker

Behavioral trait labels

Each respondent carries trait labels such as price sensitivity, risk tolerance, decision style, digital fluency, and more.

Price sensitivityDigital fluencyRisk toleranceBrand loyaltyConvenience preferenceDecision styleTrust thresholdNovelty opennessEvidence preference

Research is expensive.

General consumers$3,500 / 1,000$3.50 / response
Professionals & B2B$20,000 / 1,000$20 / response
Specialists (doctors, lawyers…)$75,000 / 1,000$75 / response

AI-enhanced samples grounded in real people

Ask MoeVox

$49.80 / 1,000$0.05 / response

Pricing

Buy exactly the samples you need.

No subscription required. Add-on packs are billed once — the more credits you buy, the lower your rate per credit.

Free

100 credits

Included with Free plan

1 credit = 1 AI sample

Enough for 1 survey of 100 samples

$98

1,000 credits

$0.10 / credit

1 credit = 1 AI sample

Enough for 10 surveys of 100 samples

Most popular

$198

3,000 credits

$0.07 / credit

1 credit = 1 AI sample

Enough for 30 surveys of 100 samples

$498

10,000 credits

$0.05 / credit

1 credit = 1 AI sample

Enough for 100 surveys of 100 samples

For developers

Build it in — or just ask your AI.

The same research pipeline, exposed two ways: a REST API for your own products and automations, and an MCP server so Claude, Cursor, or ChatGPT can run surveys for you — no code to write.

REST API

Create research reports from your own service. One POST, a few minutes, a structured JSON report — credits included.

API reference

MCP for AI assistants

Add MoeVox to Claude, Cursor, ChatGPT, or any MCP client with one config block, then describe what you want to research in plain language.

MCP docs
curl
$ curl -X POST https://api.moevox.com/api/v1/reports \
-H "Authorization: Bearer moe_sk_live_..." \
-H "Content-Type: application/json" \
-d '{
"question": "Which pricing plan should we launch first?",
"options": ["Monthly $29", "Monthly $49", "Annual $299"],
"sample_size": 100
}'
 
→ request_id: req_4f3a9c21e8b7d6c5

See it live

A quick, live demo of how it works.

Press play to watch a real research question turn into a finished report, start to finish.

moevox.com

Watch a concept test demo

24-second demo · no signup

Define concept
Generate test
Collect responses
Reveal results

Which packaging concept for a new oat milk latte performs better among US coffee drinkers: 'Light Oat Latte' (emphasizing health) or 'Silky Oat Latte' (emphasizing taste)?

Define concept

Generate test

Collect responses

Reveal results

Which packaging concept for a new oat milk latte performs better among US coffee drinkers: 'Light Oat Latte' (emphasizing health) or 'Silky Oat Latte' (emphasizing taste)?

Silky Oat Latte (emphasizing taste and texture)Light Oat Latte (emphasizing health benefits)

0%

0%

n=335n=133

FAQ

Answers to common questions.

How MoeVox turns a research question into citable numbers.

What is MoeVox?

MoeVox is a research data platform for content creators. It turns a research question into citable statistics — audience-representative samples, response distributions, and structured reports — so you can back your SEO and GEO content with real numbers instead of assumptions.

What research data does MoeVox provide?

MoeVox returns a structured research report for the question you ask. It includes audience-representative samples, demographic breakdowns, and response distributions, so every figure you cite has context you can point to.

How does MoeVox build representative samples?

MoeVox combines AI with a pool of 100,000 real population records and draws around 1,000 representative samples. A typical study goes from research question to a structured report in about two minutes.

How is MoeVox different from ChatGPT?

ChatGPT helps you draft content. MoeVox provides real research data — sample profiles, response distributions, and demographic breakdowns — so your content becomes authoritative and citable instead of just well-written.