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// reputation

Hear everything. Respond as one brand.

Reviews and mentions trickle in across platforms until one bad week becomes a rating problem. Magistry ingests Trustpilot, Google News, Reddit, RSS blogs, Shopify reviews, and Shopinion, classifies every item, drafts responses in your voice, and flips into a crisis command center the moment sentiment spikes.

Reviews + mentions, one inbox Brand-voice drafts Crisis command center
app.magistry.io/dashboard/reputation
Reputationsentiment · stable
review · 2★draft ready
“Blazer arrived with a loose seam…”
defect · linked SKU-9241
mention · socialno action
“obsessed with this linen set”
positive · amplification candidate
review · 3★→ cs_agent signal
“took 12 days to arrive”
shipping · cluster (4 this week)

// the loop

Ingest → classify → decide → execute.

The same loop every Magistry surface runs — applied to the words people write about you. Nothing posts without your review unless you've widened autonomy for it.
01

Ingest

Trustpilot, Google News, Reddit, RSS blogs, Shopify reviews, and Shopinion are pulled in on a cycle — the slow drip of feedback that decides whether your next thousand visitors trust you.

02

Classify

Each item is AI-classified: sentiment, topic, severity, product linkage. A sizing complaint on a winning SKU is a different animal than a shipping gripe.

03

Decide & draft

Response drafts are generated in your brand voice and queued for review. Recurring complaint clusters become signals the CS and Catalog agents subscribe to.

04

Escalate

When negative sentiment spikes beyond the baseline, the crisis command center activates — one coordinated view of what's burning, where, and what's drafted.

// shopinion

Your own review engine, built in.

Shopinion is Magistry's own post-purchase review platform, bridged straight into the reputation loop — so you're not just monitoring reviews, you're generating them.

Invitations

Post-purchase review invitations go out on your schedule — timed after delivery, not after checkout.

Moderation

Incoming reviews land in a moderation queue before they publish, and flow into the same classification loop as every other source.

Rewards

Reward customers for leaving a review — configurable incentives that turn quiet happy buyers into visible social proof.

// connected

Reputation is a signal, not a silo.

A complaint cluster about sizing feeds the Catalog Agent's variant review. A spike in shipping complaints reaches the CS Agent's proactive outbound. Reputation data works because it flows.
Complaint clusters → CS & Catalog agents Review health caps product-research scores Crisis center coordinates drafts in one view Every published response is a logged row

// get started

Stop finding out about bad reviews from customers.

Turn on reputation monitoring and see every review, mention, and draft response in one place.

Free plan · No credit card · Starts in dry-run