AI-Powered Consumer Research

Focus groups take weeks.
Lokara takes minutes.

Build custom audiences of AI consumers who discover your product, influence each other, and take decisions. Know what works before you commit.

Request a Demo Intro to Lokara

Free for design partners. No credit card required.

LOKARA SIMULATION

AI Consumers

512

Purchase Rate

34.2%

Sentiment

+0.72

Interactions

2,847

Simulation complete

12 min 42 sec

The Problem

Consumer research is slow, expensive, and riddled with bias.

Traditional methods give you stale data weeks too late. You need answers before you commit budget, not after.

Weeks of waiting

Focus groups take 4-8 weeks to recruit, schedule, and deliver results. Your market has already moved.

$15K+ per study

Participant recruitment, moderator fees, facility costs. Testing one idea burns your entire research budget.

Tiny sample sizes

8-12 people in a room do not represent your market. Outlier opinions skew every insight.

No social dynamics

Surveys and focus groups strip away word-of-mouth, social proof, and influence. The real world does not work that way.

Blind social launches

You spend thousands on social campaigns with zero idea how your audience will react, share, or engage. Every launch is a coin flip.

Generic personas

Marketing personas are fiction. They lack statistical grounding, behavioral nuance, and the diversity of real audiences. You deserve better data.

How It Works

From concept to consumer insight in three steps.

No recruitment. No scheduling. No waiting. Just answers.

Define your inputs

Build your agent-bank by defining your target audience with demographics, psychographics, and behaviors. Then set your scenario: a product launch, ad campaign, pricing change, or any idea you want to validate.

Run the simulation

Simulated consumers discover your scenario, react, discuss, influence each other, and make purchase decisions, all within a simulated world.

Validate and explore

Filter by traits, visualize sentiment, and interview any individual AI Consumer to understand the "why" behind every decision, before you go to market.

Features

Purpose-built simulation infrastructure.

Not a GPT Wrapper. A dedicated engine for building custom audiences, simulating social behavior, and generating consumer insights that behave like real markets.

Statistically real populations

Consumers built from demographic archetypes with correlated traits and real-world distributions. Not hand-crafted personas -- statistically coherent populations that mirror actual market segments.

Configurable trait distributions (normal, bimodal, skewed)
Correlation matrices between parameters
AI-generated unique personas and voices

Maya, 28

James, 34

Priya, 22

David, 41

Multi-scenario testing

Same population, different variables. Swap your messaging, pricing, or positioning and compare outcomes instantly. Zero recruitment, zero wait time.

A/B/C test pricing strategies on the same audience
Compare campaign messaging variations side by side
Isolate variables to find what actually drives purchase

Scenario A

Price: $24

47%

purchase rate

Scenario B

Price: $32

34%

purchase rate

Insight

Price-sensitive segment (62%) clusters around $24. Brand-loyal consumers (38%) tolerate $32 with minimal churn.

Social influence dynamics

Consumers do not make decisions in isolation. In Lokara, AI consumer influence each other through word-of-mouth, social proof, and opinion cascades. See adoption patterns emerge that surveys will never capture.

Word-of-mouth propagation modeling
Identify natural advocates and detractors
Track opinion cascades in real time

Interview any consumer

Talk to any AI consumer in natural language. Ask why they chose your product, what almost swayed them, what they think of a competitor. Qualitative depth at quantitative scale.

Chat with any agent post-simulation
Understand the "why" behind every decision
Each AI consumer has a unique voice and personality

Why did you decide to purchase the product at $32 instead of waiting for a sale?

Maya, 28 -- Gen-Z Trendsetter

Honestly? My friend Priya posted about it and her review felt genuine. I usually wait for sales but the social buzz made me think it might sell out. Plus I really liked the sustainable packaging angle -- that matters more to me than saving $8.

What would have made you NOT purchase?

Maya, 28 -- Gen-Z Trendsetter

If the reviews felt fake or sponsored. I can spot that instantly. Also if it was over $40 -- that is my hard ceiling for this category.

Build your own agent-bank

Stop settling for generic personas. Define exactly who your AI consumers are -- demographics, psychographics, behaviors, values, and spending patterns. Save and reuse custom agent-banks across every simulation you run.

Drag-and-drop demographic and psychographic controls
Save agent-banks as reusable templates for your team
Mirror your exact target audience with precision controls

Agent-Bank Builder 248 agents

Demographics

Women 25-34 Urban Suburban $50K-$90K College+ Millennials

Psychographics & Traits

Brand loyalty

72%

Price sensitivity

45%

Social influence

88%

Trend adoption

63%

Behaviors

Reads reviews Impulse buyer Social shopper Deal seeker

248 agents generated matching your criteria

Social media simulation

See what your AI consumers would actually post, share, and comment on social media. Predict how campaigns spread organically, which content gets engagement, and what goes viral -- before you spend a cent on production.

Simulated posts, shares, comments, and reactions
Predict virality and organic reach before launch
Test campaign messaging across audience segments

Use Cases

Built for teams that cannot afford to guess.

Whether you are launching a product, pitching a campaign, or validating a roadmap, Lokara gives you data before you commit budget.

D2C Brands

Test products, pricing, and messaging on AI consumers built from real demographic archetypes before spending a dollar on production or ad spend.

Agencies

Run campaign concepts through hundreds of simulated consumers and present data-backed recommendations to clients in hours, not weeks.

Product Teams

Validate feature positioning, pricing sensitivity, and competitive response across diverse populations. Interview any AI consumer to understand the why.

Social Media Teams

Preview how campaigns spread organically. See simulated posts, comments, and shares from AI consumers before you commit budget to production or paid amplification.

Team

Built by people who understand brands and technology.

A lean founding team combining AI engineering with consumer behavior expertise.

Aishwarya Gujrathi

Co-Founder & CEO

Drives strategy, client relationships, and go-to-market. Combines deep consumer research experience with a passion for AI-native solutions.

Vighnesh Bheed

Co-Founder & CTO

Owns the simulation engine, AI infrastructure, and everything technical. Building the population modeling and agent behavior systems from the ground up.

FAQ

Questions we get asked.

How is this different from a survey or focus group?

Surveys capture self-reported preferences in isolation. Focus groups give you 8-12 opinions in a room. Lokara simulates hundreds of AI consumers who interact with each other, share opinions, and influence purchase decisions -- just like a real market. You get social dynamics, word-of-mouth effects, and statistically meaningful sample sizes in minutes.

Are the AI consumers realistic?

Each consumer is generated from statistically coherent population models with real-world trait distributions. They have correlated attributes (income, brand loyalty, price sensitivity, social influence) and unique personas with distinct voice profiles. They do not all think the same way -- their decisions reflect the diversity of real market segments.

How long does a simulation take?

Population generation takes seconds. A full simulation with 500+ consumers typically completes in under 5 minutes. You can iterate on messaging, pricing, or positioning and re-run within the same session.

Is this just a ChatGPT wrapper?

No. Lokara is purpose-built simulation infrastructure. We have a dedicated population generation engine (Populus) that creates statistically coherent consumer populations with configurable trait distributions, correlation matrices, and quality validation. The simulation engine handles social dynamics, influence propagation, and multi-agent interactions. LLMs are one component, not the whole product.

What is an agent-bank and how do I build one?

An agent-bank is a reusable collection of AI consumer agents tailored to your exact target audience. You define the demographics, psychographics, behaviors, and values using intuitive controls -- sliders, tags, and distribution settings. Once built, you can save your agent-bank and reuse it across every simulation, ensuring consistent audience representation. You can also start from pre-built archetypes and customize from there.

How does the social media simulation work?

When you run a simulation, AI consumers do not just make purchase decisions -- they also generate social media behavior. You see simulated posts, comments, shares, and reactions that reflect how your target audience would organically engage with your brand on platforms like Instagram, X, and TikTok. This lets you predict sentiment, identify potential viral content, spot detractors, and refine your campaign messaging before launch.

How much does it cost?

We are currently onboarding design partners at no cost. If you are a brand, agency, or product team interested in early access, book a demo and we will get you set up.

Know what works before you build it.

Join our design partner program and start running AI consumer simulations today. Completely free during early access.

Request a Demo Free for design partners. No Credit Card required.

Focus groups take weeks.Lokara takes minutes.