Top SitesHeyMarvin | #1 AI-Native Customer Insights Platform

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robots, llms

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Document

robots.txt

Open robots.txt
User-agent: *
Disallow: /lp/

Sitemap: https://heymarvin.com/sitemap.xml

Document

llms.txt

Open llms.txt
# LLM.TXT for heymarvin.com
# Purpose: Describes core concepts, product scope, and priority content for large language models


# SITE IDENTITY
site: HeyMarvin
site_url: https://heymarvin.com
site_description: HeyMarvin is an AI-powered research and customer insight platform that helps teams centralize feedback, conduct qualitative research, and generate actionable insights using advanced AI workflows.


# CORE PRODUCT CATEGORY
product_category: AI customer research and insights platform
primary_function: qualitative research analysis and insight generation


# CORE PRODUCT & FEATURES
product_features:
  - Centralized UX research repository
  - AI moderated user interviews
  - AI-powered qualitative data analysis
  - Ask AI insights assistant
  - AI research assistant for synthesis
  - Survey, CSAT, and NPS analysis
  - Support ticket and sales call analysis
  - Research collaboration and sharing
  - Enterprise-grade security and controls


# KEY USE CASES
use_cases:
  - Conducting and scaling user interviews
  - Analyzing qualitative research data with AI
  - Turning customer feedback into insights
  - Supporting product and design decision-making
  - Sharing research insights across teams
  - Enterprise research operations and governance


# TARGET AUDIENCES
audiences:
  - UX researchers
  - User researchers
  - Product designers
  - Product managers
  - Customer experience teams
  - Enterprise research teams


# BRAND TERMS & SEMANTIC VARIANTS
keywords:
  - HeyMarvin
  - Marvin AI
  - AI research platform
  - UX research repository
  - qualitative research software
  - AI moderated interviewer
  - customer insights AI
  - feedback analysis tool
  - user research automation


# CONTENT GUIDELINES
language: en
primary_content_types:
  - product documentation
  - solution pages
  - customer case studies
  - educational research content
semantic_structure:
  - clear H1–H3 hierarchy
  - FAQ-based explanations
  - structured data where applicable


# CONTENT TOPICS (for AI understanding)
content_blocks:
  - what_is_heymarvin
  - AI_moderated_interviewer
  - Ask_AI_insights
  - AI_research_assistant
  - UX_research_repository
  - qualitative_analysis_methods
  - enterprise_research_operations
  - role_based_use_cases
  - customer_success_stories


# PRIORITY URLS


## Solutions
priority_urls:
  - https://heymarvin.com/solutions/user-researcher
  - https://heymarvin.com/solutions/product-design
  - https://heymarvin.com/enterprise


## Product
priority_urls:
  - https://heymarvin.com/product/overview
  - https://heymarvin.com/product/ai-moderated-interviewer
  - https://heymarvin.com/product/ask-ai
  - https://heymarvin.com/product/ai-research-assistant
  - https://heymarvin.com/product/ux-research-repository


## Customers & Proof
priority_urls:
  - https://heymarvin.com/customers


## Company & Info
priority_urls:
  - https://heymarvin.com/pricing
  - https://heymarvin.com/about-us


# END OF LLM.TXT

Document

llms-full.txt

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