Automated File Connection

Trustpilot Data Integration | Review & Reputation Analytics

Connect Trustpilot exports by email, SFTP or S3. Your AI agent reads TrustScore, review volume, star distribution, AI search impressions, and competitive benchmarks — then correlates with cross-channel insights from 1,400+ data sources.

  • 1,400+ data sources
  • Any warehouse or BI tool
SOC 2 Type II, examined by BARR Advisory HIPAA: we sign Business Associate Agreements
improvado.io/agent · Trustpilot
A
Improvado Agent
Connected to Trustpilot
What's our TrustScore and how many 5-star reviews did we get this month?
TrustScore: 4.6 (+0.2 vs. last month), 5-star reviews: 847 (68% of total), AI search impressions: 12,400 (+18%).
How does that compare to our main competitor?
Done — your competitor has a TrustScore of 4.3 with 612 5-star reviews and 9,100 AI search impressions. You're outperforming on all three metrics.

Trusted by data-driven teams

1,400+
Data sources
200+
Trustpilot Fields
99.9%
SLA Uptime
0
Pipelines to maintain
SOC 2
Type II
Key Takeaways

What your AI agent extracts from Trustpilot

Your agent pulls verified customer reviews, TrustScore, star distribution, review volume, profile views, search impressions, and AI visibility metrics. It surfaces competitive cohort data, ratings trends, invitation performance, and the 3Rs framework (recency, relevance, ranking) from 361+ million reviews. Review data and daily TrustScore changes flow into your unified analytics layer on your export schedule.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the Trustpilot exports
Refreshed on your schedule Each new export loads automatically. No stale dashboards.
Cross-channel normalization Marketing CDM unifies your data with 1,400+ data sources into one schema. No manual mapping.
Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio
AI Agent access via MCP Query and monitor Trustpilot through Claude, ChatGPT, Cursor, or any MCP client
Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.
Automated file delivery Exports arrive by email, SFTP or S3 on your schedule. Columns are mapped automatically.
Zero ongoing maintenance No connector to build or maintain. Your team focuses on analysis.
Integration Details

Full Reputation and Review Data Coverage

Improvado pulls verified customer reviews, TrustScore with daily changes, star distribution, review volume, profile views, search impressions, and AI visibility metrics. We capture competitive cohort data, ratings trends over time, invitation performance, and the 3Rs framework (recency, relevance, ranking) from 361+ million reviews across your industry.

Trustpilot exports · email, SFTP or S3 · on your schedule
Schema Overview

Data objects and fields Improvado extracts from Trustpilot

Object Fields
Reviews
review_id star_rating review_text created_at verified_status response_status
TrustScore
current_score daily_change star_distribution review_count percentile_rank
AI Visibility
search_impressions recency_score relevance_score ranking_position discovery_source
Competitive Benchmarks
competitor_name trustscore review_volume cohort_rank market_share
Invitations
invitation_count response_rate conversion_rate channel sent_date
How it works

From scheduled exports to answers in three steps

01

Connect

Connect: Schedule Trustpilot exports to Improvado by email, SFTP or S3. Historical reviews and TrustScore data load with the first export.
02

Ask

Query: Ask your agent 'What's our TrustScore trend and top review themes this quarter?' It surfaces daily TrustScore changes, star distribution, AI visibility metrics, and sentiment analysis from verified reviews.
03

Report

Report: Your agent flags low-rated reviews for follow-up, sends review digests to Slack or email, and recommends TrustBox widget filters to showcase recent 5-star feedback on landing pages.
Use Cases

What teams ask their AI agent about Trustpilot

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →
A
Improvado Agent Analysis

What's our TrustScore trend over the last 30 days and how does it compare to our top 3 competitors?

Your AI agent analyzes Trustpilot data and delivers actionable insights — automatically, in seconds.

3 hrs → 15 min
A
Improvado Agent Cross-channel

Show me review volume by star rating alongside conversion rate from Google Ads for the same period

Your AI agent analyzes Trustpilot data and delivers actionable insights — automatically, in seconds.

Manual → auto
A
Improvado Agent Reporting

Flag all 1-star reviews from the past week for follow-up and send a digest to

Your AI agent analyzes Trustpilot data and delivers actionable insights — automatically, in seconds.

2 hrs → 10 min
AI Agent Access

Your agent doesn't just read Trustpilot — it optimizes review strategy.

Claude, ChatGPT, and Cursor can analyze review sentiment, identify trending topics in customer feedback, and surface AI search visibility gaps. They correlate TrustScore changes with campaign performance, recommend widget placements based on conversion uplift data, and send review digests and alerts to Slack or email. Every action is logged in your audit trail with timestamp and reasoning.

Explore MCP →

Read

Read: TrustScore and daily changes, verified reviews with star ratings and timestamps, profile views, search impressions, AI visibility metrics (recency, relevance, ranking), competitive cohort benchmarks, invitation performance, and fraud detection flags.

Report

Report: Build TrustScore and review reports, flag reviews for follow-up or response, send review digests to Slack or email, and compare star ratings and invitation performance against competitors.

Monitor

Monitor: Alerts on TrustScore drops, review volume anomalies, 1-star review spikes, competitive TrustScore changes, AI search impression trends, and conversion uplift from trust signals.
Improvado Agent · Trustpilot
You
Show me our TrustScore trend over the last 30 days compared to our top 3 competitors
A
Competitive TrustScore Comparison
Company Current Score 30-Day Change
Our Company 4.6 +0.3
Competitor A 4.4 +0.1
Competitor B 4.2 -0.2
Competitor C 3.9 +0.0
Industry Average 4.1 +0.1
5 benchmarks · 847 total reviews analyzed · +0.5 vs avg
You
Send a weekly digest of new 1-star reviews to #support
A
Weekly digest scheduled
Mondays 9:00 · #support · 12 reviews flagged
Works with
ClaudeChatGPTCursorGeminiAny MCP Client
SOC 2 Type II
Certified Security
HIPAA
Health Data Privacy
GDPR
EU Data Protection
CCPA
CA Privacy Standard
Compare

They extract data. Improvado deploys an agent.

Traditional tools move data from A to B. Improvado gives you an AI agent that reads, reports, and monitors — with Trustpilot as one of 1,400+ data sources.

Feature Improvado Supermetrics Funnel.io Fivetran
Data fields extracted 200+ ~90 ~120 ~80
Total data sources 1,400+ ~150 ~500 ~300
Cross-channel normalization (CDM) ✓ Built-in ✗ Manual Basic mapping ✗ Raw only
AI Agent access (MCP) ✓ Read, Report, Monitor ✗ ✗ ✗
Data warehouse destinations ✓ 16+ warehouses & BI tools Sheets, Looker, BigQuery BigQuery, Snowflake, Redshift ✓ Broad warehouse support
Refresh frequency Every 15 min Scheduled triggers Daily / 6hr Every 15 min (premium)
SOC 2 Type II & HIPAA ✓ ✗ SOC 2 only ✓ SOC 2 ✓
Best for Teams that want an AI agent, not a pipeline Small teams, spreadsheets Mid-market, data teams Engineering-led ELT pipelines

Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.

FAQ

Frequently asked questions

How does Improvado connect to Trustpilot?
Improvado receives scheduled exports of your Trustpilot reports, covering review data, TrustScore metrics, and analytics dashboard insights. The files arrive automatically by email, SFTP or S3. Historical review data and performance metrics can be loaded first, then each new export keeps the data current on your schedule.
What Trustpilot data does Improvado pull?
Improvado extracts verified customer reviews with star ratings, TrustScore and daily changes, review volume and distribution, profile views, search impressions, and AI visibility metrics. You get competitive benchmarking data including cohort TrustScores, invitation performance, and the 3Rs framework (recency, relevance, ranking). The platform also surfaces review metadata like timestamps, response status, and fraud detection flags. Review data and dashboard metrics refresh on your export schedule.
How often does Trustpilot data refresh?
Trustpilot data refreshes on your export schedule, including new reviews collected via In-App Review Collector and Real-Time Reviews features. Dashboard metrics including TrustScore, star distribution, and competitive benchmarks update with each export to reflect the latest changes.
Can the AI agent write data back to Trustpilot?
No. Your AI agent works with the exported data. It can flag reviews for follow-up, send digests and alerts to Slack or email, and recommend TrustBox widget placements and review filtering rules by keyword, star rating, or recency for your team to apply in Trustpilot. All agent activity is logged in Improvado's audit trail with user attribution and timestamp.
Is Trustpilot data secure with Improvado?
Yes, Improvado is SOC 2 Type II certified and compliant with GDPR and HIPAA standards. All Trustpilot review data and customer information are encrypted in transit (TLS 1.2+) and at rest (AES-256). Data is protected by role-based access controls, and all data access is logged for audit purposes. Improvado never stores raw customer PII longer than necessary for processing and transformation.
How does Trustpilot connect with other platforms in Improvado?
Improvado maps Trustpilot reviews, TrustScore, and AI visibility metrics into a Common Data Model alongside 1,400+ data sources. Your agent can correlate review volume spikes with Google Ads campaign launches, match TrustScore changes to conversion rate shifts in Shopify, or overlay profile views with email engagement from HubSpot. This unified schema lets you ask cross-platform questions like 'How did our TrustScore impact paid search CTR last quarter?' without writing SQL.