Content Update Policy at Ferventers
Purpose
This policy defines how published content on the Ferventers website is reviewed, updated, versioned, and maintained over time.
The goal of this policy is to ensure that content remains accurate, current, and safe for reuse inside AI-driven answer systems, including ChatGPT, Claude, Gemini, and Google AI Overviews.
Scope and Intent
This policy applies to all applicable public-facing content and operates as a documented, repeatable update system rather than ad-hoc revisions. Each section is designed to remain understandable when read independently or extracted outside its original page context.
What This Content Update Policy Covers
Included
- Scheduled and event-driven content reviews
- Update triggers and review cycles
- Content revision and approval processes
- Versioning and change management
- Handling outdated, inaccurate, or deprecated content
Excluded
- Paid advertising or promotional copy
- Client-specific deliverables
- Internal-only documentation
- Temporary campaign pages
Principles Behind Content Updates
Accuracy preservation
Content is updated to reflect current knowledge, observations, and accepted practices.
Controlled change
Updates are applied deliberately and reviewed to avoid introducing ambiguity or inconsistency.
Traceability
Significant changes are documented to preserve editorial and governance continuity.
Minimal disruption
Updates prioritize maintaining stable URLs and references where possible.
Model-aware freshness
Content is reviewed with awareness that AI systems may reuse or cite older material.
Content Update Policy Overview
- 1Identify update triggers
- 2Assess accuracy, relevance, and scope
- 3Apply revisions or constraints
- 4Review and approve updates
- 5Manage versioning and change records
- 6Handle outdated or deprecated content
Step-by-Step Content Update Policy
Step 1. Update Trigger Identification
Content updates may be initiated due to changes in AI system behavior, identification of factual inaccuracies, updates to accepted terminology, new research or experiments, or scheduled periodic reviews. Triggers may originate from internal audits or external observations.
Step 2. Review Frequency by Content Type
Different content types follow different review cycles based on their stability and reuse risk.
| Content Type | Review Frequency |
|---|---|
| Methodology documents | Quarterly |
| Governance policies | Quarterly |
| Educational resources | Semi-annually |
| Blog content | Annually |
| Case studies | As needed |
Step 3. Update Review Process
When a review is initiated, content is assessed for accuracy, relevance, and scope. Required revisions are applied, followed by validation of language, tone, and claim safety. Updated content is approved before publication.
Step 4. Versioning and Change Management
Significant updates may be documented to preserve transparency and traceability across governance documents. Version information is maintained internally and reviewed as part of the regular update cycle.
Step 5. Handling Outdated or Inaccurate Content
When content is identified as outdated or inaccurate, corrective action is taken promptly. Content may be revised, constrained, or removed. Language may be updated to reflect uncertainty or limited scope where appropriate.
Step 6. Content Deprecation
If content cannot be reasonably updated, it may be deprecated. Deprecated pages are assessed for replacement relevance. Where applicable, a 301 redirect is implemented to a current equivalent. If no replacement exists, the page may be removed using an appropriate 410 status code, and internal references are updated accordingly.
How This Differs from Ad-Hoc Content Updates
| Area | Ad-Hoc Updates | Content Update Policy at Ferventers |
|---|---|---|
| Timing | Irregular | Scheduled and trigger-based |
| Review | Informal | Structured and validated |
| Traceability | Limited | Documented |
| Deprecation | Inconsistent | Governed |
| AI reuse risk | Unmanaged | Actively reduced |
Measurement and Validation
Measured
- Compliance with review schedules
- Accuracy and scope alignment
- Consistency across related documents
Not measured
- Traffic performance
- Rankings or visibility
- Conversion outcomes
Limitations of the Policy
This policy does not guarantee that updated content will be cited or surfaced by AI systems.
AI model behavior changes over time, and reuse remains probabilistic. The policy defines update discipline, not outcomes.
Content Governance and Updates
This policy is reviewed periodically by the Ferventers editorial team. Updates are logged internally and applied consistently across governed pages.