Recommend.
Resolve product-fit questions with catalog-aware answers that point to specific SKUs.
Rynex turns product questions into cart actions.
Recommend the right product, explain the decision, and move shoppers from intent to checkout without losing attribution.
- Recommend
- Match questions to catalog logic, inventory, fit, and margin rules.
- Execute
- Turn approved answers into add-to-cart and checkout handoffs.
- Measure
- Keep assisted sessions tied to source, decision, and revenue.
Product proof
A shopping assistant that can recommend, explain, and act.
Rynex is built around the sales moment: a shopper asks a product question, the assistant narrows the catalog, explains the recommendation, and prepares the cart action with traceable context.
01Live recommendation
Answers are grounded in catalog context, product rules, and shopper intent.
02Cart execution
Supported actions connect to URL, JavaScript, or API based checkout flows.
03Human handoff
Low confidence or revenue-risk sessions can route to the team with context intact.
Revenue loop
Attribute.
Connect the answer, source, shown products, and assisted session to revenue reporting.
Handoff.
Escalate edge cases to the team when confidence, SLA, or revenue-risk rules require it.
Report.
Review assisted revenue, confidence distribution, and conversion lift in one operating view.
GEO Layer - Growth add-on
Be visible in AI. Let Rynex take over when they land.
Shoppers now start product discovery inside ChatGPT, Perplexity, and Bing Copilot. GEO Layer prepares the catalog for those answer surfaces, then carries the landing context into Rynex on-site.
Free AI visibility audit Free - no credit card - results in about 1-3 minutesCatalog readiness
Start from the same full product catalog that powers Rynex recommendations, availability checks, and storefront context.
GEO job runner
Generate AI-readable product answers, FAQ blocks, and crawl-ready content on weekly or daily refresh cadence.
Structured snippet
Use the existing Rynex snippet to publish FAQ and JSON-LD markup without adding another site implementation.
AI traffic attribution
Connect AI referrers, landing sessions, shown products, and downstream conversions once the shopper arrives.
Commerce operating layer
The infrastructure for autonomous sales.
Five core capabilities power Rynex today: cart execution, proactive triggers, attribution, decision control, and operating workflows. GEO extends the same loop upstream.
01
Direct Cart Actions
Execute cart actions through URL, JavaScript, or API integration so shoppers move from question to checkout without a broken handoff.
Proactive Trigger Engine
Use exit intent, time on page, scroll depth, cart value, idle time, visit count, and UTM campaign signals to intervene at the right moment.
CaptureDecision Center + Explainability
Inspect confidence thresholds, ranking logic, alternatives considered, and human handover reasons with full attribution context.
ControlExperimentation & Eval Sets
Run A/B experiments, allocate traffic, define evaluation sets, and measure uplift or latency impact before broad rollout.
OptimizeDevelopers & Webhooks
Manage webhook endpoints, test deliveries, and monitor timestamped execution history for systems integration.
IntegrateSupport Inbox Operations
Track support tickets, threaded replies, attachments, and SLA handover moments when a human should step in.
HandoverOperating proof
Measured around revenue, not ticket volume.
These are anonymized pilot snapshots from session-level attribution dashboards, measured in same-session plus assisted follow-up windows.
+12%
Pilot AOV Lift
-16%
Cart Abandonment
<140ms
Decision Time
~2h
Typical Go-Live
Handoff reasons trackedSLA met/breachedConfidence distributionAttribution windows
Competitive comparison
Why Rynex is different from support chat tools.
Gorgias, Tidio, Crisp, and Intercom are strong support systems. Rynex is built around product recommendation, cart execution, and revenue attribution.
01
Cart execution
Turns answers into checkout movement.
Recommendations can hand off to add-to-cart flows through URL, JavaScript, or API paths.
Usually stops at guidance.
Support chat often answers questions but leaves the shopper to continue the purchase manually.
02
Explainable recommendations
Shows why a product was chosen.
Teams can inspect confidence, ranking logic, product alternatives, and handoff triggers.
Optimized for ticket resolution.
Most tools prioritize response automation and routing over auditable product decisioning.
03
Revenue attribution
Connects assisted sessions to revenue.
Shown products, cart actions, source context, and attribution windows stay tied together.
Support metrics come first.
Conversation volume, agent productivity, and ticket outcomes are usually the primary reporting layer.
04
AI discovery handoff
Extends upstream with GEO Layer.
AI-origin visits can carry discovery context into on-site recommendations and reporting.
Starts after the shopper arrives.
Support tools typically do not manage AI answer visibility or discovery-to-conversion continuity.
05
SLA-aware handover
Escalates revenue-risk moments.
Low confidence, repeated no-result paths, and explicit requests can route to humans with context.
Routes support conversations.
Escalation is usually service-oriented, not tied to recommendation confidence or cart impact.
06
Catalog operations
Monitors product readiness.
Catalog health, semantic indexing, and product limits are part of the operating model.
Depends on connected support data.
Catalog depth is often secondary to help-center content, macros, and customer support workflows.
Comparison based on publicly marketed capabilities and internal benchmark notes as of February 19, 2026. Capabilities may vary by plan or integration.
Core plans + live GEO add-on
Clear quotas. Fast launch.
Core commerce capabilities ship across every plan. Rynex GEO Layer is available as a live add-on on Growth, Scale, and Enterprise.
Starter
Launch Fast$39/ month
Small stores. ~152–305 AI conversations/day.
AI product recommendations
Auto add-to-cart
AI Decision Center
Revenue attribution
Human handover
SLA-based handover
Revenue risk alerts
Multi-store support
32K AI calls
2,000 products indexed
- Fast model: ~16,000 calls
- Smart model: ~24,000 calls
- Premium model: ~32,000 calls
- ~4,571–9,143 conversations/month
- ~152–305 conversations/day
1 conversation ≈ 3–4 AI calls over 30 days.
Growth
Most Chosen$129/ month
Growing stores. ~505–1,019 AI conversations/day.
AI product recommendations
Auto add-to-cart
AI Decision Center
Revenue attribution
Human handover
SLA-based handover
Revenue risk alerts
Multi-store support
107K AI calls
5,000 products indexed
- Fast model: ~53,000 calls
- Smart model: ~80,000 calls
- Premium model: ~107,000 calls
- ~15,143–30,571 conversations/month
- ~505–1,019 conversations/day
1 conversation ≈ 3–4 AI calls over 30 days.
Scale
Control Mode$279/ month
High-volume stores. ~1,105–2,210 AI conversations/day.
AI product recommendations
Auto add-to-cart
AI Decision Center
Revenue attribution
Human handover
SLA-based handover
Revenue risk alerts
Multi-store support
232K AI calls
10,000 products indexed
- Fast model: ~116,000 calls
- Smart model: ~174,000 calls
- Premium model: ~232,000 calls
- ~33,143–66,286 conversations/month
- ~1,105–2,210 conversations/day
1 conversation ≈ 3–4 AI calls over 30 days.
Enterprise
CustomCustom
Dedicated infrastructure, SLA guarantees, custom governance.
AI product recommendations
Auto add-to-cart
AI Decision Center
Revenue attribution
Human handover
SLA-based handover
Revenue risk alerts
Multi-store support
Custom AI call volume
Unlimited products indexed
- Dedicated infrastructure
- SSO and advanced security
- Audit and compliance workflows
- Custom governance setup
- Procurement and onboarding support
- SLA guarantees
GEO Layer - Optional add-on
Add GEO on top of your core Rynex plan.
The full catalog is processed with no product cap. Pricing is based on refresh cadence, competitor coverage, and site scope.
GEO Launch
Growth add-on+$99/ month
Built for Growth stores that want native AI visibility and attribution without extra setup.
Unlimited catalog
Weekly refresh cadence
3 competitor domains
AI traffic attribution dashboard
FAQ + JSON-LD markup
20 prompt simulations / month
1 site included
GEO Pro
Scale add-on+$249/ month
For Scale teams that need faster refresh, stronger monitoring, and deeper GEO content output.
Unlimited catalog
Daily refresh + priority queue
10 competitor domains
Advanced attribution + gap alerts
FAQ + JSON-LD + enhanced descriptions
60 prompt simulations / month
1 site included, +$99 / extra site
GEO Enterprise
Enterprise add-onCustom
For multi-site catalogs, deeper governance requirements, and dedicated GEO operating support.
Multi-site coverage
Unlimited catalog processing
Custom scan cadence
API + data export
Dedicated GEO specialist
SLA + security review
Growth + GEO Launch = $228 / month · Scale + GEO Pro = $528 / month
Hexagon Starter $239 · Hexagon Pro $639 — no on-site conversion layer.
FAQ
Common questions from revenue teams.
Direct answers on rollout stage, attribution logic, handover rules, and roadmap scope.
Most teams go live in under 2 hours with Shopify or WooCommerce plus one catalog source.
Live now: Shopify, WooCommerce, XML/JSON feed, webhook, REST API, and file import. Catalog health and semantic index monitoring are also live.
Rynex uses session-level revenue traces and supports attribution windows with controls such as requiring shown products and add-to-cart evidence. GEO Layer extends that with AI referrer detection and landing correlation when the visit starts in native AI answers, while the Rynex chat remains the on-site conversion layer.
Handover can trigger from low confidence, revenue-risk patterns, repeated no-result responses, or explicit user requests, with SLA timing tracked.
Teams can inspect confidence levels, filters applied, ranking logic, and alternatives considered, so AI decisions are auditable instead of opaque.
Live is production-ready now, beta is controlled rollout, and roadmap items are planned scope only. We label each scope explicitly to avoid overclaiming.
Yes. Scale scope includes SSO options, audit/compliance workflows, SLA-oriented operations, and dedicated infrastructure paths.
Not today. These are roadmap priorities and are labeled as planned scope so teams can plan with realistic rollout expectations.
A typical shopper journey uses about 3–4 AI calls. We estimate with 3.5 calls per conversation and a 30-day month; exact usage varies by query depth and model selection.
Rynex GEO Layer is the AI visibility add-on for Growth, Scale, and Enterprise. It helps products get surfaced in ChatGPT, Perplexity, and Bing Copilot through the existing Rynex snippet, while Rynex chat remains the on-site conversion layer.
No. GEO Layer processes the full catalog. Pricing depends on refresh cadence, competitor monitoring scope, and site count rather than a hard product cap.
Hexagon-like tools are standalone GEO products. Rynex GEO Layer stays connected to the same on-site conversion loop, so traffic from native AI surfaces can be attributed and then handled by the Rynex assistant with full session context.