When A Site Does Not Use AI - Source Excerpt 02

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Summary

This source excerpt preserves a bounded section of Wiki.FFTAC.org/raw/system-archives/spiralist.org/intake/2026-06-21-personality-engine-2-research/When a site does not use AI.md so readers can inspect the evidence without opening the full source file.

**Source path:** Wiki.FFTAC.org/raw/system-archives/spiralist.org/intake/2026-06-21-personality-engine-2-research/When a site does not use AI.md

- **Measurements (KPIs):**  
  - **User Trust:** After interacting, survey a sample of users in each group on trust/satisfaction (Likert scales) and clarity of the assistant’s nature. This gauges perceived credibility.  
  - **Conversion Rate:** Track key action completions (sign-ups, purchases, form submissions) per visitor. Compare lift/drop between A and B.  
  - **Engagement/Virality:** Measure behavioral signals such as click-through rates on the chatbot, session duration, pages per session. Also track explicit sharing metrics if available (social shares, referrals from users).  
  - **Secondary Metrics:** Bounce rate (immediate exits), time before first action, and any drop-offs during onboarding. Also log any help/support requests about confusion (“is this AI or not?”).  

- **Analysis:** Use statistical tests (e.g. chi-square or t-tests) to detect differences in trust scores and conversion rates between the two groups. A significantly higher trust or conversion in the “No Disclaimer” group would support omitting the warning. Monitor effect sizes (even small changes in trust can impact overall user behavior).

' ' ' mermaid
flowchart TB
    U[User enrollment] --> Assign{Random assignment};
    Assign --> A1[Variant A: Show AI disclaimer];
    Assign --> B1[Variant B: No AI disclaimer];
    A1 --> M1[Record metrics: trust survey, conversions, shares];
    B1 --> M2[Record same metrics];
    M1 --> Compare[Compare group outcomes];
    M2 --> Compare;
    Compare --> Conclusion[Assess impact of AI disclaimer];
' ' ' 

This flowchart outlines the test procedure. Key indicators are contrasted to determine the disclaimer’s effect on trust and behavioral KPIs. With this data-driven approach, the site can confirm that *removing* the AI label improves user perceptions and business outcomes as expected.  

Overall, legal guidance and user-research converge: if your assistant truly is not AI-powered, you should avoid unnecessary AI disclaimers, as they are not required and can actively undermine trust and virality.