FBF Dating Platform Index
Structured comparison of audience fit, product quality, availability and key decision attributes.
FBF research
FBF's long-term research moat is a maintained dataset of platform pricing, privacy, verification, features and market changes. Public indexes will launch only when the underlying data is complete enough to support the claim being made.
Planned original research
Each index should answer a real decision question, show its date range and methodology, and expose meaningful limitations rather than manufacturing a “study” for SEO.
Structured comparison of audience fit, product quality, availability and key decision attributes.
Visibility, location, blocking, private-mode and related privacy controls compared over time.
Market-specific paid tiers and feature packaging tracked with date and collection methodology.
Meaningful changes in verification, privacy, free features and product controls recorded as they happen.
Publication standard
FBF will not turn a tiny, simulated or invented dataset into authoritative-looking research.
State exactly what the index measures, which markets are included and what it does not measure.
Use structured platform records, dates and primary sources where practical instead of affiliate landing-page claims.
Show collection dates, exclusions, scoring assumptions and uncertainty so the research can be interpreted responsibly.
Why this matters for search and AI answers
FBF's SEO/GEO/AEO strategy depends on decision utility: dated facts, stable entities, concise comparisons, transparent methodology and original research that other people and answer engines have a reason to reference.
Every changing fact needs collection or review context.
Platforms and attributes use consistent structured naming across Finder, reviews and research.
Key findings should make sense without requiring a reader to decode the entire page.
No. They are planned research products. FBF will not label an index as published until the underlying dataset and methodology support it.
No. Simulated users, invented response counts and fake studies are outside the editorial standard.
No. Commercial economics are separate from public editorial and research conclusions.
See the Dating Apps directory, individual reviews and Compare. Those pages read from the current structured platform records.