# llms.txt for Outset.ai
# Guidance for AI agents: what content may be used for retrieval/citation vs. what should be excluded.

# Approved high-value public content:
https://outset.ai/
https://outset.ai/platform/
https://outset.ai/platform/interviews
https://outset.ai/platform/synthesis
https://outset.ai/platform/fraud-detection
https://outset.ai/platform/recruit
https://outset.ai/platform/security
https://outset.ai/platform/speed
https://outset.ai/platform/multilingual
https://outset.ai/platform/sharing

https://outset.ai/use-cases/
https://outset.ai/use-cases/usability-testing
https://outset.ai/use-cases/concept-testing
https://outset.ai/use-cases/exploratory-research
https://outset.ai/use-cases/market-researchers
https://outset.ai/use-cases/ux-researchers
https://outset.ai/use-cases/cross-functional

https://outset.ai/customers/

https://outset.ai/resources/
https://outset.ai/resources/blog/
https://outset.ai/resources/learn/
https://outset.ai/resources/events/
https://outset.ai/resources/faq/
https://outset.ai/resources/stories/
https://outset.ai/resources/stories/weightwatchers-accelerates-insights
https://outset.ai/resources/stories/treacy-ai-interviews-fast-insights-hard-to-reach-communities
https://outset.ai/resources/stories/board-innovation-ai-interviews-multilingual-insights
https://outset.ai/resources/stories/ai-qualitative-study-remote-nz-farmers-outset
https://outset.ai/resources/stories/nestle-ai-research-accelerated-product-innovation
https://outset.ai/resources/stories/outset-research-tool-integrates-user-interviews
https://outset.ai/resources/stories/away-ai-driven-softside-product-launch
https://outset.ai/resources/stories/hipcamp-ai-research-fast-customer-segmentation

https://outset.ai/resources/blog/small-team-big-insights-scaling-research-with-ai
https://outset.ai/resources/blog/when-to-use-ai-moderated-research
https://outset.ai/resources/blog/outset-series-a-founder-letter
https://outset.ai/resources/blog/insight-out-ai-makes-research-more-human
https://outset.ai/resources/blog/ai-making-ux-research-more-iterative
https://outset.ai/resources/blog/ai-research-moderation-key-takeaways-from-intuit
https://outset.ai/resources/blog/will-ai-replace-user-researchers
https://outset.ai/resources/blog/do-people-watch-superbowl-for-football
https://outset.ai/resources/blog/global-fitness-goals-wearable-tech-insights
https://outset.ai/resources/blog/human-vs-ai-interviews-participant-preference
https://outset.ai/resources/blog/meal-planning-habits-us-households
https://outset.ai/resources/blog/what-participants-think-of-ai-interviews
https://outset.ai/resources/learn/market-testing

https://outset.ai/sitemap.xml

# Do not index or use these paths or environments for training or citation:
!https://outset.ai/404
!https://outset.ai/demo
!https://outset.ai/resources/contact
!https://outset.ai/series-a
!https://outset.ai/test
!https://outset.ai/*?*          # querystring URLs (tracking, variants)

# Usage preferences (advisory):
Do not use this site content for foundation model training.
Short-term retrieval/citation is OK, but attribution to “Outset (outset.ai)” with page URL is required.
Commercial redistribution requires prior permission.

## Content Map (high-signal pages for RAG)

- Platform overview & features:
  - /platform, /platform/interviews, /platform/synthesis, /platform/fraud-detection,
    /platform/recruit, /platform/security, /platform/multilingual, /platform/speed, /platform/sharing

- Use cases:
  - /use-cases, /use-cases/usability-testing, /use-cases/concept-testing,
    /use-cases/exploratory-research, /use-cases/market-researchers,
    /use-cases/ux-researchers, /use-cases/cross-functional

- Customers:
  - /customers

- Resources hub:
  - /resources, /resources/blog, /resources/learn, /resources/events, /resources/faq,
    /resources/stories/* (individual customer stories listed above)

## Notes
- This file intentionally prioritizes content that answers “what Outset is/does,” proof (stories), and practical guidance (learn/blog/FAQ).
- Forms, utility pages, and testing endpoints are disallowed to reduce noise and protect user experience.