Social Proof · Ratings & Reviews
Reviews that work for you, not the other way around.
An AI pipeline that handles sentiment, moderation, tagging, and analysis, so your reviews actually drive product decisions, not weekly busywork.
What it does
A review system that does the work, then hands you the intelligence.
AI moderation that scales
4-class detection, clean, spam, profanity, policy violation, with suggested actions. You review the exceptions, not every submission.
3-tier sentiment on every review
Positive, neutral, negative classification with per-product breakdowns. See where customer feeling is shifting before it shows up in conversion.
Auto-tagging from review content
Recurring themes, fit, sizing, fabric, scent, fragrance throw, extracted as tags. Optional whitelist gives you vocabulary control.
Insights synced to your catalog
Batch analysis writes top likes, top complaints, key topics, and notable quotes back to product metafields your merchandising team can act on.
Multi-source import
Bring reviews from Judge.me, Loox, Yotpo, CSV, or Amazon. Switch platforms without losing the social proof you spent years building.
Configurable featured widgets
Featured review widgets with display variants, synced to Shopify metaobjects for fast storefront resolution. A/B test layouts via Studio.
Why it matters
Reviews are the highest-leverage social proof on a product page.
270%
Higher purchase likelihood
On products with 5+ reviews vs. zero.
Spiegel Research Center / PowerReviews
211%
Conversion lift at 51–100 reviews
Volume compounds the conversion gain.
PowerReviews, 4.5B+ site visits
77%
Trust user-generated imagery
Photo and video reviews drive purchase decisions.
PowerReviews 2023 (n=8,153)
Four AI playbooks already running on real catalogs.
The AI for Reviews is not roadmap, it's shipped, running today, and processing thousands of reviews per week across brands.
Sentiment analysis
LiveRuns across the catalog. 3-tier classification feeds per-product sentiment breakdowns and trend detection.
AI moderation
LiveFlags spam, profanity, and policy violations with suggested actions. Human-in-the-loop approval before publishing.
Auto-tagging
LiveExtracts recurring themes from review text. Optional whitelist constrains the vocabulary to your brand language.
Theme + insights extraction
LiveTop likes, top complaints, key topics, and notable quotes, written back as product metafields your team can act on.
Built for
Brands where review volume outgrows the team behind it.
Apparel & Fashion
Fit and quality feedback is conversion-critical. AI tags fit/sizing/material themes across thousands of reviews; insights flow back to PDPs and size guides.
Beauty & Personal Care
Reviews surface skin-type, ingredient, and reaction signals. AI moderation catches scam claims and policy violations at scale.
Jewellery & Accessories
Lower review volume per product, higher AOV. Sentiment authenticity matters more than volume, moderation keeps the signal clean.
Catalog-rich brands
Hundreds of SKUs mean reviewing every submission is impossible. AI handles the 95% so your team focuses on the exceptions that matter.
What it replaces
Beyond stars-and-text. Reviews that actually feed your product roadmap.
Most review apps stop at collection and display. Spectrum turns the dataset into intelligence, automatically, at catalog scale.
How it fits the rest of Spectrum
Cross-feature integrations land here next.
Reviews connects to Studio (A/B-test widget variants), Brand Context Engine (tone for response generation), Product FAQs (review themes seed FAQ generation), and the Operations Agent (automated review responses). Full diagrams arriving with the next content drop.
FAQ
Questions, answered.
A few we hear most often. Want a deeper walk-through? Book a demo.
Talk to a humanWill my existing reviews import cleanly?
Yes, Spectrum imports from Judge.me, Loox, Yotpo, Amazon, or any CSV. Photo and video reviews preserve their media; verified-buyer flags carry over where available. You can switch without losing the social proof you accumulated.
Does AI moderation auto-publish reviews?
Only if you configure it that way. Default flow is human-in-the-loop: the AI flags and suggests actions (approve, reject, flag for review); your team confirms. You can move to auto-approve per category once you trust the model on your catalog.
How are review insights synced to my catalog?
The analysis playbook writes themes, top likes, top complaints, and notable quotes back to a `spectrum/review_insights` metafield on each product. Your merchandising, content, and ops teams can read these via the portal or directly from Shopify.
What happens to my reviews if I leave Spectrum?
Your review data is yours. Full CSV export at any time. Reviews stay in Shopify metaobjects so the storefront keeps rendering them on uninstall, no immediate breakage of your PDPs.
See it running on your reviews.
A 20-minute walk-through. Real moderation, real sentiment, your catalog.
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