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GPPI is designed to be defensible: evidence-first signals, explicit uncertainty, and a right-to-respond workflow.
GPPI 2025 is assembled from multiple datasets (‘drivers’ and ‘signals’). Each dataset has its own cohort size, capture rules, and confidence level.
Core driver datasets:
• DSHI (Discoverability): n=58 measured portals in the 2025 cycle; reports distributions and indexability posture.
• MEI (Market Experience, consumer): n=20 portals; reports prevalence of complaint themes where available.
• PFOS (Product Innovation): multiple subsets; trust/verification median reported for n=16 where explicitly measured; friction sample n=20.
Signals datasets:
• AI announcements: n=24 captured disclosures in 2025 (public announcements).
• M&A signals: n=21 captured deals in 2025 (directional; not exhaustive).
• Compliance signals: n=80 captured regulatory signals (theme prevalence lens).
Clear, repeatable evidence across the measured cohort. Example: DSHI distribution statistics within the DSHI cohort.
Evidence is strong within a limited cohort or classification involves interpretation. Example: indexability posture and PFOS friction signals.
Data is missing, ambiguous, or not captured uniformly. GPPI labels these explicitly rather than inferring.
GPPI supports portal submissions for corrections and additional evidence. Submissions are reviewed using an evidence rubric.
If accepted, the report is updated with a visible change note (what changed and why) and an incremented content version.
This keeps the system credible: portals can improve and correct, without turning GPPI into a marketing scoreboard.
Submissions must include evidence. GPPI does not accept unverifiable claims.
Global Property Portal Index (GPPI). (2025). *State of Portal Health 2025*. Powered by Coraly.ai. Accessed YYYY‑MM‑DD.