Question 1

What is Trustpilot?

Accepted Answer

Trustpilot is one of the world's largest open consumer review platforms, where anyone can review any business and businesses can respond, learn from, and showcase that feedback. Founded in Denmark in 2007, it hosts hundreds of millions of reviews across virtually every industry.

Question 2

What does Trustpilot do with AI?

Accepted Answer

Trustpilot processes millions of incoming reviews a day with machine learning. Most notably, it built a real-time data enrichment architecture with Google Cloud using fine-tuned Gemma models to extract structure from human-written reviews — entities, business categories, sentiment, and customer intent — in near real time.

Question 3

Who uses Trustpilot?

Accepted Answer

Consumers use Trustpilot to research businesses before buying, while companies of every size — from small e-commerce shops to global brands — use it to collect reviews, respond to customers, and display trust signals like the TrustScore and star ratings on their own sites and ads.

Question 4

Why is Trustpilot's review data valuable?

Accepted Answer

Reviews are unstructured, high-volume, and written in dozens of languages, yet they contain direct signals about customer experience. Trustpilot's enrichment pipeline turns that raw text into structured metadata — topics, sentiment, intent — which powers search, insights for businesses, and platform integrity work at scale.

Question 5

What makes Trustpilot different from other review platforms?

Accepted Answer

Trustpilot is an open platform: reviews can be written by any consumer with a genuine experience, not just verified buyers funneled by the business. Combined with public transparency reporting and ML-driven fraud detection, this openness is the core of its positioning against closed or merchant-controlled review systems.

Question 6

How does Trustpilot work for businesses?

Accepted Answer

Businesses claim a free profile, invite customers to leave reviews through email invitations and integrations, respond to feedback publicly, and embed trust widgets such as TrustBox on their sites. Paid plans add richer invitation automation, analytics, and marketing assets built on review data.

Question 7

How does Trustpilot's real-time AI enrichment architecture work?

Accepted Answer

According to Google Cloud's published case study, Trustpilot runs a high-volume streaming pipeline on Dataflow that applies a suite of specialized models fine-tuned from the lightweight Gemma 9B base. Each model handles a focused task — named entity recognition, topic classification, sentiment scoring, intent detection — and the pipeline processes millions of reviews a day in near real time.

Question 8

Why did Trustpilot fine-tune small specialized models instead of using one large LLM?

Accepted Answer

Cost and latency. Processing millions of reviews daily under strict latency budgets makes large general-purpose models impractical. Trustpilot used larger Gemini-family teacher models with consensus annotation to generate high-quality training data, then distilled that capability into small, fast Gemma-based specialists for each task.

Question 9

How does Trustpilot detect fake reviews?

Accepted Answer

Trustpilot combines automated fraud-detection systems with human investigation, removing millions of fake reviews each year and publishing the results in a transparency report. Its ML systems analyze patterns in review content, account behavior, and network signals to flag suspicious activity.

Question 10

What is a TrustScore?

Accepted Answer

The TrustScore is Trustpilot's 1-to-5 rating summarizing a business's review performance. It weighs review recency and volume, so a company's score reflects its current service quality rather than a static lifetime average.

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