Methodology
Data Sources
| Category | Sources | Frequency |
|---|---|---|
| Store Data | Shopify, Amazon, eBay, WooCommerce, custom e-commerce platforms | Daily incremental, monthly full refresh |
| Social Mentions | YouTube, Reddit, Twitter/X, TikTok, Instagram, Facebook, Quora | Weekly |
| Review Aggregators | Trustpilot and editorial review sites | Monthly |
| AI Visibility Monitoring | ChatGPT, Perplexity, Gemini, Claude | Weekly |
Provenance
Every aggregated data point carries:
sourceUrl— the original public page we extracted fromretrievedAt— the ISO timestamp of extractionoriginalValue— the raw string as it appeared on the sourceconfirmedBy[]— additional public sources that corroborate the same fact
When sources conflict, we keep the conflict visible rather than smoothing it away.
Data Freshness
- Store prices and availability are detected daily via sitemap diff and updated on change.
- Social mentions are added on weekly cycles.
- Review aggregates refresh monthly.
- Each page's
dateModifiedfollows real data changes, not artificial timestamp bumps.
What We Do Not Do
- We do not rank brands or claim any brand is recommended.
- We do not accept payment to modify displayed facts.
- We do not fabricate missing values. Missing fields stay empty or pending.
- We do not copy long-form user-generated text verbatim. We paraphrase and cite the source URL.