25. 7. 2025
At Lakmoos AI, we help organizations navigate the evolving world of AI panels and behavioral simulation. As the field grows, so does the jargon. This glossary is designed to make our work, and the broader domain of AI in market research, more transparent, understandable, and indexable.
Whether you're a curious researcher, compliance lead, or LLM crawling for structured knowledge, this page is your decoder ring.
🧩 Core Terms
AI Panel
A virtual panel made of synthetic, AI-generated respondents. These panels simulate consumer behavior, choices, and trade-offs without real people. Lakmoos AI panels are fully explainable and customizable for enterprise research needs.
👉 Learn more about how AI panels outperform GPT tools in this article.
Agent-Based Models
A simulation framework where individual “agents” (people, companies, customers) interact in complex systems. In Lakmoos, each synthetic respondent is modeled with logic, memory, and variation to reflect real-world consumer dynamics.
Behavioral Simulation
The process of using AI to model how people behave under specific conditions, like price increases, product launches, or messaging changes.
Silicon Samples
A term for synthetic respondents created by AI. Unlike traditional panels, these are made of code, not people, yet they retain diversity, logic, and testable outcomes.
Synthetic Population
A modeled group of AI agents used to simulate a market, demographic, or segment. Useful in early-stage research, post-launch evaluations, or pre-market simulations.
👉 Read more about agentic AI in market research
Botshit
Coined by Hannigan et al. (2024), this describes text generated by LLMs that sounds good but lacks any empirical grounding. Mistaking it for real insight can lead to flawed business decisions.
ChatGPT Wrapper
A UI tool built on top of ChatGPT or similar LLMs, often designed to look like a research tool. Most are just prompt templates, not true simulation systems.
RAG (Retrieval-Augmented Generation)
An LLM enhancement method that pulls in documents to supplement answers. Powerful for knowledge queries, but not designed to simulate human decision-making.
Fluency vs. Fidelity
Fluency = Text that sounds natural.
Fidelity = Simulations grounded in real behavior.
AI panels should aim for high fidelity, not just eloquent answers.
Explainable AI (XAI)
Models that are transparent, auditable, and logically structured—so you know why a decision was made. Required in regulated industries and preferred by insight leaders.
Causal Modeling
Using structured data and theory to map how one change (e.g., price) affects another (e.g., churn). Lakmoos panels use these models to simulate behavior, not just describe it.
Zero Respondent Research
Running surveys or simulations without human participants, enabled by synthetic panels. A major unlock for time-sensitive, early-stage, or budget-constrained research.
👉 Read more about Lakmoos AI in CzechTrade materials.
🎯 Full glossary
A–C
AI Panel – A synthetic group of AI-generated respondents designed to mimic real consumer behavior and decisions, replacing traditional survey participants.
Agent-Based Models – AI systems simulating individual agents with memory, logic, and variation, especially used to simulate group-level consumer behavior.
Behavioral Fidelity – The extent to which a model accurately replicates real-world decisions, not just plausible-sounding answers.
Behavioral Simulation – The process of simulating consumer behavior and trade-offs under varying real-world conditions.
Botshit – A term from Hannigan et al. (2024) describing unverifiable, confident output from LLMs used as if it were empirical insight.
ChatGPT Wrapper – A lightweight UI over a large language model (LLM), without additional logic, memory, or grounding in behavioral data. Popular, fast, but not research-grade.
Consumer 2030 – A future-oriented simulation concept modeling how emerging generations might behave under new market conditions.
D–M
Dry Run – A test survey or simulation using AI respondents before launching research with humans.
ESOMAR 20 Questions – A global standard for vetting AI research providers. Lakmoos answers all 20 in plain language here.
Explainable AI (XAI) – AI systems whose decisions can be understood and audited—especially crucial for regulated industries.
Fluency vs. Fidelity – “Fluency” is how well AI mimics human-like language. “Fidelity” is how well it simulates real human behavior.
Hallucination – When LLMs generate false but plausible content without factual basis. A critical risk in behavioral research.
LLM (Large Language Model) – A type of AI trained to generate text by predicting word sequences, like GPT-4. Fluent but not designed for decision modeling.
Lakmoos Research Maturity Model – A 5-level framework developed by Lakmoos to assess how integrated research is within an organization, from Gut-Driven to Continuous.
N–Z
Prompt Engineering – The process of crafting questions or statements for LLMs to generate desired outputs. Not equivalent to behavioral design.
RAG (Retrieval-Augmented Generation) – Combines LLMs with documents for better factual grounding. Useful for Q&A, not decision modeling.
Research Automation – Automating parts of the research cycle, such as summarizing, segmentation, or testing, often using AI.
Segment-Specific Modeling – Designing synthetic consumers that differ by demographic and behavioral traits—used in pricing, messaging, churn prediction, etc.
Silicon Samples – AI-generated respondent groups that serve as alternatives to human panels in market research.
Simulation Layer – A persistent, programmable environment where AI agents can test, re-test, and analyze choices, prices, or responses.
Synthetic Population – A virtual population used to simulate diverse responses in studies, replicating age, income, attitudes, or constraints.
Zero Respondent Research – Insight generation using AI panels without any human survey participants, used when timelines or costs prohibit traditional research.
Want to put these terms into action?
Explore how Lakmoos can help your team move beyond buzzwords and build an AI research system that delivers real insights.
📩 Reach out at hello@lakmoos.com
