AI Agents for Market Research

Build AI Agents for Market Research
With Just a Prompt

No coding. No data scientists. Describe your research goals — RhinoAgents builds, connects, and automates data collection and sentiment analysis in minutes.

Your prompt

5 min
to launch a campaign
0
lines of code needed
4x
higher survey completion
100%
automated data cleaning
Foundations

What Is an AI Agent — and Why Do Researchers Need One?

An AI agent is software that understands context, reasons through a goal, and completes tasks autonomously. Unlike static survey forms, an AI agent can probe respondents dynamically, analyze qualitative sentiment on the fly, and clean datasets before you even look at them.

It Understands Nuance

Reads between the lines of open-ended text to identify sentiment, themes, and emotional tone accurately.

It Connects to Your Data Lakes

Pulls in historical data from Typeform, Qualtrics, or Google Sheets to enrich live conversational surveys.

It Probes Dynamically

If a respondent says "the app is okay but clunky," the agent instantly asks a follow-up: "Can you describe a specific clunky feature?"

It Screens Out Bad Data

Detects bots, speeders, and low-effort responses, automatically removing them from your final dataset.

// Anatomy of a Research AI Agent

1 · Perceive
Receives an open-ended survey response from a panelist.
2 · Reason
LLM analyzes the response, categorizes sentiment, and checks against quotas.
3 · Retrieve
Pulls the next logical question based on previous answers, avoiding irrelevance.
4 · Act
Asks a dynamic follow-up question via chat interface to extract deeper insights.
5 · Resolve
Cleans the data and exports a structured JSON or CSV to your dashboard.
How It Works

Build Your Research Agent in 5 Easy Steps

No complex logic trees. Go from research hypothesis to live data collection in under an hour — using plain language prompts.

1

Describe Your Agent

Write a prompt like "Conduct a conversational survey on GenZ skincare habits, probing on brand loyalty"

Just type
2

Pick Your Agent Type

Conversational Survey, Sentiment Analyzer, Focus Group Recruiter — or mix and match

One click
3

Connect Your Tools

Link to Google Sheets, Airtable, Qualtrics, and Slack with one-click integrations

100+ tools
4

Set Your Quotas

Define your demographic targets, screening criteria, and automatic rejection parameters

Control
5

Deploy & Go Live

Distribute your agent link. Watch as unstructured chats become clean, structured data.

Go live

// Example prompts that build real research agents on RhinoAgents

Conversational Survey Prompt

"Create an AI agent that chats with users about their coffee habits. Ask 5 core questions, but dynamically probe for deeper reasons if they mention 'price' or 'sustainability'. Save results to Airtable."

Sentiment Analyzer Prompt

"Build an AI agent that monitors Twitter mentions of our brand, categorizes the sentiment (Positive, Neutral, Negative), extracts the core complaint or praise, and sends a daily summary to Slack."

Problems & Solutions

Real Challenges. AI-Built Fixes.

Market researchers face massive data bottlenecks and low respondent engagement. See how AI agents solve these issues.

Common Challenges
Low Survey Completion Rates
Traditional 40-question forms feel like a chore, causing respondents to drop off halfway.
Shallow Qualitative Data
Open-ended text boxes yield unhelpful, one-word answers like "Good" or "Nothing."
Biased Manual Screening
Human recruiters often inject subconscious bias when selecting focus group participants.
Taking Weeks to Compile Insights
Reading and coding 1,000 open-ended responses manually takes analysts weeks.
Data Cleaning Nightmares
Removing bots, speeders, and straight-liners from datasets is a tedious, manual process.
Panel Fatigue
Sending generic emails to your entire panel results in lower engagement over time.
What Your AI Agent Does
Conversational Engagement
Turns surveys into WhatsApp or web chats. Completion rates regularly jump by 300%.
Dynamic Probing
Acts like a human moderator, asking "Can you tell me more about why you feel that way?"
Objective Screening
Qualifies candidates purely based on the rules and quotas you set, eliminating bias.
Instant Thematic Coding
Categorizes open-ends in real-time, delivering actionable dashboards instantly.
Automated Quality Control
Flags and removes low-effort or contradictory responses before they reach your database.
Personalized Panel Outreach
Sends tailored survey invites based on a panelist's past responses and interests.
Agent Library

8 AI Agents You Can Build for Research

Each agent is purpose-built for data collection and analysis workflows. Describe what you need — RhinoAgents handles the rest.

Conversational Survey Bot

Replaces static forms with an interactive chat that probes for deeper qualitative insights based on user answers.

Higher ROI Deep Data

Respondent Screener

Chats with potential participants to verify complex demographics and behaviors before allowing them into the main study.

Quality Quota Mgmt

Sentiment Analysis Agent

Reads thousands of reviews, tweets, or open-ended responses instantly, categorizing emotions and extracting key themes.

NLP Speed

Focus Group Recruiter

Automates the scheduling, consent form collection, and reminder processes for qualitative interview participants.

Logistics Auto Book

Interview Transcription Bot

Takes raw audio files, transcribes them accurately, and provides a structured executive summary of the interview.

Audio to Text Summary

Data Cleaning Agent

Scans raw datasets to identify and remove gibberish, straight-lining, speeding, and contradictory answers.

QC Reliability

Trend Spotter Bot

Monitors industry news, competitor websites, and forums to compile weekly reports on emerging consumer trends.

Secondary Res Tracking

Panel Engagement Bot

Maintains panel health by sending personalized newsletters, rewards updates, and birthday wishes to respondents.

Retention Community
FAQ

Frequently Asked Questions

Can the AI bias the respondent?

You configure strict guardrails. The AI uses non-leading phrasing (e.g., "Can you elaborate on that?" rather than "Did that make you angry?") to ensure neutral, unbiased qualitative probing.

How do conversational surveys export data?

The AI structures the unstructured chat log automatically. It exports clean CSVs, JSON, or syncs directly to Google Sheets or Airtable with categorical tags already applied.

Can it replace my survey platform?

It can replace it for conversational, qualitative-heavy studies. For complex quantitative conjoint analysis, you can integrate RhinoAgents alongside tools like Qualtrics.

Is respondent data kept private?

Yes. Data is processed securely and is never used to train global AI models. We offer PII-redaction capabilities to anonymize responses automatically before analysis.

How long does it take to deploy a survey bot?

You can build and deploy a conversational survey agent in under 15 minutes. Just type the research goals, set the questions, and generate a link to send to your panel.

How much does it cost?

Plans start at $49/month. This includes unlimited agents. Usage pricing is based on the volume of conversations or data processed. Start with a free trial to test it out.

Get Started Today

Your Research Deserves
Deeper Insights.
Your Analysts Deserve Speed.

Build your first AI research agent in minutes — with a simple prompt. No code. No contracts. Just describe your goals and start collecting data.

No credit card required · Setup in under 60 minutes · Cancel anytime