Trustguide

Automatically collects and consolidates product reviews from multiple platforms including Amazon, Trustpilot, and independent review sites into a single unified view. Eliminates the need for users to manually visit multiple websites to gather review data.

Analyzes review patterns using AI to identify suspicious activity such as fake reviews, coordinated rating spikes, and astroturfing campaigns. Flags anomalies that human reviewers typically miss by examining temporal patterns and statistical outliers.

Evaluates seller legitimacy by analyzing reputation signals across multiple data sources and platforms. Provides credibility indicators to help users determine if a seller is trustworthy before making a purchase.

Synthesizes aggregated review data, manipulation detection results, and seller credibility assessments into actionable purchase guidance. Provides data-driven recommendations to support informed buying decisions.

Provides a search interface to query reputation information for specific products or sellers. Returns relevant reputation data quickly without requiring users to navigate multiple websites.

Monitors and identifies unusual spikes in product ratings over time that may indicate review manipulation or coordinated campaigns. Alerts users to temporal patterns that deviate from normal rating distribution.

Provides free-tier access to basic reputation checking capabilities without requiring payment or account creation. Removes friction for casual users wanting quick reputation verification before purchases.