Platform Features

Everything you need to stop the leak

Detection, testing, attribution, and repair: the full loop from "we can't see this traffic" to "we know what it costs and we fixed it."

See the visitors your analytics can't

AI Traffic Detection

AI assistants and shopping agents don't show up in GA4 the way a human does. They arrive without a referrer, without a session, and often without a trace. Product Gale identifies them by signature and behaviour, so you finally know who's reading your store and how much of it they get through.

Recognises the major assistants and shopping agents by name
Separates crawling from genuine shopper-driven visits
Shows which products and categories get read most
Flags the pages agents abandon partway through
Trends volume over time as new agents appear
Works from your public store; logs optional for depth
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No tag
Required To Start
Daily
Detection Refresh
Named
Agent Identification
Hear what AI tells shoppers about you

Answer Accuracy Testing

A shopper asks an assistant for the best waterproof boots under $150. Whatever it answers is a sale that either comes to you or goes to a competitor. We run those questions for real, against the assistants your customers use, and record every answer that gets you wrong.

Runs realistic shopper questions, not keyword checks
Catches wrong prices, wrong stock, and invented specs
Records when a competitor is recommended instead of you
Tracks share of relevant questions where you appear
Re-tests after every fix so you see the answer change
Covers the assistants your buyers actually use
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Real
Shopper Questions
Verbatim
Answers Captured
Tracked
Competitor Wins
Does your store work when the visitor is a robot?

Agent Journey Testing

Being recommended is worth nothing if the agent then can't finish. We send an AI shopper through your actual buying flow (search, product page, variant, cart, checkout) and record the precise step where it stalls, with the reason and a replay you can hand to your developer.

End-to-end runs against your live storefront
Pinpoints the failing step, not just a pass/fail
Catches unparseable variant and size selectors
Surfaces blockers agents silently give up on
Replay and screenshots attached to every failure
Re-runs on a schedule to catch regressions
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Step
Level Failure Detail
Replay
For Every Run
Live
Storefront Testing
Every failure ends in a number

Revenue Leak Attribution

A readability grade doesn't tell you what to do on Monday. We take each failure and attach a monthly dollar figure built from your own traffic, average order value, and conversion rate. Then we rank the list, so the first thing you fix is the thing that pays the most.

Monthly leak total for the whole store
Per-product and per-category breakdown
Ranked fix list ordered by revenue at stake
Built from your numbers, with assumptions shown
Before-and-after view once a fix ships
Exportable for the person who signs off budget
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Dollars
Not A Score
Ranked
Fix Priority
Visible
Assumptions
The fix, not just the finding

Automatic Page Repair

Most failures trace back to something the AI couldn't work out from your page: a spec that isn't stated, a variant it can't resolve, a price or stock status it can't read with confidence. Product Gale repairs those pages so the assistant can answer correctly, then re-runs the same test to prove it worked.

Fills the gaps the assistants tripped on
Makes variants, price, and availability unambiguous
Every change reviewable before it goes live
Confidence scoring, with low-confidence items held back
Full history of what changed and why
Pushes back to your store or exports for your team
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Review
Before Publish
Proven
By Re-test
Reversible
Change History
Answers drift; you should know first

Continuous Monitoring

A correct answer today is not a correct answer next month. Models update, your catalog changes, and new agents show up without warning. Product Gale keeps running the same checks on a schedule and tells you the moment something moves in the wrong direction.

Scheduled re-runs of answer and journey tests
Alerts when a previously correct answer regresses
Notification when an unfamiliar agent starts visiting
Month-over-month view of your leak total
Webhooks into Slack, email, or your own tooling
History retained so you can prove the trend
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Scheduled
Re-testing
Instant
Regression Alerts
Tracked
Month Over Month
Security-first architecture

Enterprise Security

Built for teams with stringent security requirements. Multi-tenant workspaces, role-based access control, comprehensive audit logging, and SOC 2 compliance ensure your store and product data is always protected.

SOC 2 Type II certified
Role-based access control (RBAC)
SSO with SAML 2.0 and OIDC
Complete audit logging
Data encryption at rest and in transit
GDPR and CCPA compliant
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SOC 2
Certified
256-bit
AES Encryption
100%
Audit Coverage

Fits the stack you already run

Findings and fixes go where your team already works, with no new dashboard nobody opens.

REST API

Pull findings, leak figures, and fix status into your own reporting. Full REST API with docs and SDKs for Python and JavaScript.

Webhooks

Get a Slack or email alert the moment an answer regresses, a journey breaks, or a new agent starts visiting.

Team Collaboration

Growth owns the leak report, engineering owns the broken steps. Invite both, assign roles, work the same list.

See what AI shoppers do on your store

Start with $20 in free credits. No credit card required.

Ask AI to summarize