Rep AI — Store Experience & Conversion AI

Before you start

• Choose one bounded, reversible conversion experiment or merchandising change to test.
• Prepare traffic and funnel data, the current page or theme, product rules, and a measurable hypothesis, removing sensitive fields the trial does not need.
• Record the current conversion rate, revenue per visitor, add-to-cart rate, and guardrail metrics, then name the approver and stop conditions.

Operator-ready setup plan

1. Start with one real task

   Do not begin with a store-wide rollout. Pick one reversible task where Rep AI can help you improve product discovery, merchandising, and onsite conversion.

   Checkpoint: The input boundary, owner, and one primary measure from conversion rate, revenue per visitor, add-to-cart rate, and guardrail metrics are written down.

2. Prepare the input and guardrails

   Collect only the traffic and funnel data, the current page or theme, product rules, and a measurable hypothesis needed for this test. Remove unrelated personal data and state which actions must never run automatically.

   Checkpoint: Every input has a known source, sensitive fields are minimized, and the approver knows what the trial can read or change.

3. Configure a contained trial

   Follow the official setup path, connect the fewest accounts possible, and grant only the permissions this test needs. Let Rep AI recommend before it acts.

   Checkpoint: You have a conversion experiment or merchandising change that a responsible operator can inspect, and it stayed inside the approved boundary.

4. Review it against a baseline

   Do not judge the result by fluency. Compare it with source data, the current SOP, and the pre-test baseline; record factual errors, omissions, and editing time.

   Checkpoint: conversion rate, revenue per visitor, add-to-cart rate, and guardrail metrics has a pre-test baseline, and errors and exceptions are logged separately.

5. Expand in small batches with a stop rule

   Increase one batch at a time and decide in advance what will stop the rollout. Add it to the regular SOP only after it repeatedly clears the quality bar.

   Checkpoint: Wider use does not push error, complaint, or rework costs above the previous baseline.

How to test it

• Test one normal case, one edge case, and one case with a deliberately missing critical field.
• Compare the result with the pre-test baseline for conversion rate, revenue per visitor, add-to-cart rate, and guardrail metrics; do not record time saved alone.
• Review errors, human edits, permissions used, and unresolved exceptions before expanding scope.

Limits to account for

• We checked the public source and resource identity on 2026-07-19. That review does not cover every workflow result, and vendor performance claims are not treated as EcomAgentTools tests.
• A change that lifts one funnel metric can still hurt margin, accessibility, speed, or customer trust.
• This page reflects the review completed on 2026-07-19, not a permanent guarantee. Recheck the current documentation, pricing, and contract terms before production use.

Frequently asked questions

Key features

• Behavioral AI that detects shopper disengagement and proactively starts conversations
• Conversational product recommendations with follow-up questions
• Automated support resolving up to 97% of inquiries (order tracking, returns, cancellations)
• Smart upselling and cross-selling based on cart contents and behavior
• Cart abandonment recovery at the moment of hesitation
• Conversation analytics revealing why shoppers don't convert
• Integration with Klaviyo, Gorgias, Zendesk, Yotpo, Postscript, and 20+ apps
• AI Training allowing merchants to teach the bot brand voice and product knowledge

Best for

Rep AI best fits CRO operator, Shopify merchandiser, Store experience lead, and other teams with a defined personalized shopping journeys, recommendations, and conversion experiments process that want to operationalize Behavioral AI that detects shopper disengagement and proactively starts conversations; Conversational product recommendations with follow-up questions; Automated support resolving up to 97% of inquiries (order tracking, returns, cancellations). Its practical value rests on Proven revenue impact — one merchant attributed $69K in a single month; 93–97% automated resolution rate dramatically reduces support workload; Behavioral AI approach more intelligent than passive chatbots. It is a poor fit for a team expecting instant results without an owner for data, rules, and review. Validate or reject it before contracting if these constraints cross an operating boundary: Shopify-exclusive — no support for WooCommerce, BigCommerce, or other platforms; Session-based pricing with $12/1K overage fees can spike during traffic surges.

Pricing analysis

Current published or described options are Pay-as-you-Grow: $0 (100 free visitors/month); Starter: $99/month; Basic: $199/month; Standard: $350/month. Pay-as-you-Grow has the lowest acquisition cost for validating the workflow, while Starter is the first useful cost baseline for steady use. A higher tier earns its premium through measurable labor savings, revenue lift, or lower unit cost—not through a longer feature list alone. Complete cost also includes monthly orders or traffic, feature packages, platform-tier requirements, implementation, experimentation, and incremental margin; model both normal and peak periods. A custom quote should state the billing unit, minimum commitment, overages, add-ons, implementation scope, renewal terms, and data-export path.

Pros

• Proven revenue impact — one merchant attributed $69K in a single month
• 93–97% automated resolution rate dramatically reduces support workload
• Behavioral AI approach more intelligent than passive chatbots
• Quick setup on Shopify with 30-day free trial, no credit card required
• Exceptional support team praised consistently in Shopify App Store reviews

Limitations

• Shopify-exclusive — no support for WooCommerce, BigCommerce, or other platforms
• Session-based pricing with $12/1K overage fees can spike during traffic surges
• Requires ongoing training effort to dial in brand voice and edge cases
• Limited to ~200 detected stores, suggesting smaller market adoption than competitors

Selection guidance

Document the current manual process, data sources, owner, and recovery path, then run one high-traffic journey or merchandising placement with a control group with real business data. Cover permission boundaries, null and exception data, duplicate execution, human override, third-party sync delays, export, and rollback. Also run these product checks: Test one normal case, one edge case, and one case with a deliberately missing critical field.; Compare the result with the pre-test baseline for conversion rate, revenue per visitor, add-to-cart rate, and guardrail metrics; do not record time saved alone.. Keep the pilot live for a complete business cycle and compare conversion rate, average order value, revenue per visitor, response latency, and merchandising effort with the pre-pilot baseline. Contract only if quality, controllable risk, and total cost all pass, and explicitly test these known constraints: Shopify-exclusive — no support for WooCommerce, BigCommerce, or other platforms; Session-based pricing with $12/1K overage fees can spike during traffic surges.

Published pricing

Pay-as-you-Grow

$0 (100 free visitors/month)

Starter

$99/month

Basic

$199/month

Standard

$350/month

Alternatives

• tidio
• vanchat
• heichat
• manifest ai
• neuralens