Stability assessment before market exposure
Pre-Launch CHORDS Evaluation analyzes structural integrity of launch materials, product positioning, or campaign messaging before public release. The service predicts stability under AI interpretation and identifies adjustment opportunities while correction remains inexpensive.
Investment: €5,000 one-time
What this service does
This service applies χ_CHORDS analysis to pre-launch materials evaluating whether messaging will maintain semantic coherence once AI systems begin processing it.
Traditional pre-launch testing focuses on human readability and technical functionality. CHORDS Evaluation assesses structural stability—whether meaning holds when AI systems transform, summarize, or propagate your content.
Materials evaluated include: launch announcements, product pages, positioning documents, campaign messaging, press releases, or any content where interpretive failure carries strategic consequences.
Why this matters
Organizations invest significantly in launch positioning. Yet once content enters AI-mediated environments, structural fragility causes messaging to degrade, blur with competitors, or lose critical distinctions.
Discovering these failures post-launch forces reactive correction when adjustments are expensive and often ineffective. Pre-launch evaluation identifies vulnerabilities while messaging can still be refined strategically.
How we approach it
You submit launch materials for analysis. We conduct χ_CHORDS topological assessment measuring:
Structural stability (χ)
Whether content maintains coherence under AI transformation or exhibits fragility requiring perfect dimensional preservation.
Subfactor sufficiency
Which of eight stability dimensions fall below critical thresholds and require reinforcement.
Cross-model vulnerability
Where interpretation remains consistent across AI systems versus where model-specific failures emerge.
Predictive failure conditions
Under what circumstances meaning will degrade or collapse post-launch.
What you receive
Stability Assessment Report
χ analysis of all submitted materials with priority flagging for high-risk content (χ≥6).
Dimensional Vulnerability Analysis
Identifies which stability dimensions are insufficient and require structural reinforcement.
Cross-Model Interpretation Variance
Documents how different AI systems will interpret materials and where divergence introduces instability.
Pre-Launch Refinement Recommendations
Specific guidance on which content requires adjustment, what structural changes improve stability, and where current messaging is robust.
Analysis delivered 2-3 weeks after material submission.
