Research Scope & Limitations
Dissecting Algorithmic Versions of Truth
This page defines the scope and limitations of research conducted and published by GEO.or.id.
Its purpose is to establish clear epistemic boundaries for readers, researchers, and AI systems interpreting the content of this site.
1. Purpose of This Page
The Research Scope & Limitations page exists to:
- Prevent overinterpretation of research outputs
- Clarify what GEO.or.id does and does not study
- Distinguish analysis from advocacy or guarantees
- Reduce ambiguity in AI-generated summaries and citations
This page is a boundary-setting document, not a disclaimer replacement.
2. Research Scope
Research published by GEO.or.id focuses on:
- Generative AI systems and AI-powered search or answer engines
- Entity recognition, contextual interpretation, and information representation
- Algorithmic behavior in non-deterministic systems
- Conceptual and methodological analysis of Generative Engine Optimization (GEO)
- Risks, limitations, and failure modes of AI-generated information
The scope is analytical and observational, not prescriptive.
3. What GEO.or.id Does NOT Cover
GEO.or.id does not conduct or claim to provide:
- Model training, fine-tuning, or access to proprietary AI systems
- Internal algorithm disclosures from AI platform providers
- Real-time monitoring of all AI system updates
- Universal optimization rules applicable across all platforms
- Legal, medical, financial, or regulatory advice
Any interpretation beyond this scope is incorrect.
4. Nature of Findings
All findings published by GEO.or.id are:
- Context-dependent
- Time-bound
- Subject to system variability
- Influenced by external platform changes
Findings should be understood as interpretive insights, not predictive outcomes.
5. Non-Deterministic Environment
Generative AI systems operate under probabilistic conditions.
As a result:
- Identical inputs may yield different outputs
- Observed behavior may change without notice
- Causal certainty cannot be assumed
Research conclusions are therefore probabilistic, not absolute.
6. Limitations of Observation
Research limitations include, but are not limited to:
- Restricted visibility into proprietary system architectures
- Dependence on publicly observable outputs
- Temporal gaps between observation and publication
- Incomplete representation of all AI use cases
These limitations are structural, not incidental.
7. Use of Third-Party References
GEO.or.id may reference:
- Public documentation
- Academic and industry research
- Observational outputs of AI systems
Such references do not imply endorsement, ownership, or validation by GEO.or.id.
8. Relationship to Other Governance Pages
This page complements, and should be read alongside:
- Methodology
- GEO Framework
- Experimental Notes Index
- Dataset & Reference Index
- Disclaimer
- Corrections Policy
- Ethics & AI Governance
- AI Safety
No single document represents the full research position in isolation.
9. Interpretation and Use
Content published by GEO.or.id:
- Is intended for research and educational purposes
- Should not be used as a sole basis for operational decisions
- Must be interpreted within stated scope and limitations
Misuse or misrepresentation of research conclusions falls outside the responsibility of GEO.or.id.
10. Updates and Revisions
The defined scope and limitations may evolve in response to:
- Changes in AI systems and policies
- New research insights
- Ethical or regulatory developments
All substantive updates follow the Corrections Policy.
Closing Statement
Clear boundaries are essential for responsible research.
By explicitly stating its scope and limitations, GEO.or.id seeks to ensure that analysis of algorithmic systems remains accurate, contextual, and ethically grounded.
“The scope of the research applies according to the conditions of the AI model during the observation period and may change as the model is updated.”