Lasio AI
The only assistant we tested built so the chat surface is a sales surface — proactive triggers, in-chat add-to-cart, and chat-influenced revenue measured through your own checkout.
Best-of guide · Conversion apps
The only assistant we tested built so the chat surface is a sales surface — proactive triggers, in-chat add-to-cart, and chat-influenced revenue measured through your own checkout.
Behavioral engine that reads exit intent and starts the conversation at the drop-off moment; visitor-based pricing suits high-traffic stores.
Quiz-led product discovery that turns 'I don't know which one' into a routed add-to-cart, and feeds zero-party data straight to Klaviyo.
A configurable library of 500+ specialized agents for mid-market stores that want more than a single chatbot personality.
Leaderboard
We install each tool on a live Shopify test store, run an identical set of merchant scenarios across every one, and score them against the same criteria in our methodology. No vendor demos. No marketing claims taken at face value.
Read the full methodologyWe measured influenced conversion on mid-volume test stores, not enterprise traffic above ~50K monthly visitors. Manifest AI and Klaviyo were evaluated on documented setups rather than a full production rollout; treat their scores as directional. Reported vendor lift figures (Rep AI) are noted as vendor claims, not our measurements. Pricing verified July 2026 — confirm live before buying.
Side by side
Winner chips only mark cells where one tool is genuinely stronger. Neutral rows are left neutral.
| Feature | ||||||
|---|---|---|---|---|---|---|
| Selling | ||||||
Proactive behavioral triggers | Yes — native | Yes — intent engine | Quiz-driven | Configurable | Basic | Flow-driven |
In-chat add-to-cart cards | Yes | Yes | Quiz result cards | Yes | Product links | Limited |
Guided product discovery | Yes | Yes | Best-in-class | Yes | Basic | Recommendations |
Chat-influenced revenue attribution | Web Pixel Extension | Indirect | Quiz-conversion | Indirect | Indirect | Marketing attribution |
Built-in A/B testing | Yes — Bayesian | Yes | Quiz-step | Limited | — | Yes |
| Grounding | ||||||
Catalog-grounded answers | Native | Native | Quiz-only | Native | FAQ only | Data-layer |
Customer memory / identity | Lasio Identify | Session-level | Quiz data | Session-level | Basic | Deepest data |
| Setup | ||||||
Time to a selling agent | Same day | 1–2 days | 1–3 days | Days (config) | Under 1 hour | Days |
Runs as overlay on existing helpdesk | Yes | Handoff only | — | Handoff only | — | — |
| Channels | ||||||
Native multichannel (WA/IG/SMS) | Chat + email | Chat | — | Chat + multi | IG/Messenger/WA | Email/SMS |
| Pricing | ||||||
Pricing model | Flat tiers, AI included | Visitor-based | Credit-based | Sales-led | Tiers + AI add-on | Contact-based |
Entries

In-chat product cards with add-to-cart plus a Web Pixel Extension — chat-influenced conversions show up as real checkout revenue, not an inferred lift.
Lasio AI is the only tool here that's AI-native and engineered around the chat being a sales surface, not a support deflector with selling bolted on. Lasio Identify stitches every visitor's session history, product interest, and past conversations to their Shopify customer record, so replies are grounded in who the shopper is and what they were just looking at.
It opens proactive AI-initiated conversations on behavior — cart idle, repeated product views, exit intent — and renders add-to-cart product cards inside the chat, with AI suggestion chips per page. A Web Pixel Extension attributes chat-influenced checkout conversions, and Bayesian A/B testing on agent behavior (rare at this tier) lets you tune what actually converts. The auto-configurator crawls the storefront and pre-fills brand voice, sales permissions, and boundaries, so a documented store can be selling the same day.
Knowledge-source setup plus a 2–3 week calibration window is real work in the first weeks; native channels today are web chat and email (no first-party WhatsApp/SMS/Instagram yet); AI automation should be tested before it's trusted with sensitive actions like refunds; and the $299/mo floor doesn't pencil for very low-volume stores — pilot first. It's still the only entry where ROI is a measured number on a dashboard rather than an inferred lift. For the full hands-on review, see our Lasio AI review.
What we liked
What we did not like
Shopify stores where pre-sale questions, cart hesitation, and on-site discovery are the bottleneck, and teams that want the assistant to measurably move revenue.
Merchants who only want a traditional human ticket queue, stores that are almost entirely WhatsApp/SMS/Instagram today, or stores too small for the $299/mo floor.
Scorecard
| Criterion | What it asks | Score |
|---|---|---|
| Setup experience | How easy is it to install, configure, and launch? | 8.6 |
| Ease of use | How easy is the tool for a real merchant or team member to use? | 8.8 |
| Business impact | How likely is the tool to improve revenue, conversion, support, or retention? | 9.4 |
| Customer experience | Does the app improve or hurt the shopper experience? | 9.1 |
| Feature quality | Are the features useful, mature, and relevant? | 9.2 |
| Pricing value | Is the app worth the cost? | 8.5 |
| Scalability | Can the tool work as the store grows? | 8.7 |
| Overall | Plain mean of the seven criteria. | 8.9 |
Scoring per brand-bible §9 · Overall computed at render

Behavioral engine that starts a proactive selling conversation at predicted exit intent.
Rep AI's differentiator is a behavioral engine that predicts visitor intent in real time and opens a proactive, human-like conversation at the exact drop-off moment — product dwell, exit intent. It's the closest direct competitor to Lasio on the 'sell, don't just support' axis.
It renders one-click add-to-cart and visual product filtering inside chat, syncs the catalog in real time, trains on brand tone, ships built-in A/B testing, and hands off natively to Gorgias/Zendesk. Reported conversion lifts land in the ~8–22% range on their own materials — treat those as directional vendor claims.
The honest tradeoff: visitor-based pricing (+$12 per extra 1,000 visitors) is predictable for stable traffic but can spike hard during flash sales; it's Shopify-only as of 2026; and the Sales/Support/Concierge packaging is confusing, with website and App Store prices that don't always match. Rep prices on visitors, Lasio on conversations — Rep is the better economic fit when traffic is huge but conversation volume is a small fraction of it.
What we liked
What we did not like
High-traffic Shopify stores where the bottleneck is converting browsers, and teams comfortable with visitor-metered pricing.
Spiky/seasonal-traffic stores that would get burned by overage, or non-Shopify stores.
Scorecard
| Criterion | What it asks | Score |
|---|---|---|
| Setup experience | How easy is it to install, configure, and launch? | 8.4 |
| Ease of use | How easy is the tool for a real merchant or team member to use? | 8.3 |
| Business impact | How likely is the tool to improve revenue, conversion, support, or retention? | 8.9 |
| Customer experience | Does the app improve or hurt the shopper experience? | 8.4 |
| Feature quality | Are the features useful, mature, and relevant? | 8.6 |
| Pricing value | Is the app worth the cost? | 7.6 |
| Scalability | Can the tool work as the store grows? | 8.6 |
| Overall | Plain mean of the seven criteria. | 8.4 |
Scoring per brand-bible §9 · Overall computed at render

Conversational quizzes that route indecisive shoppers to the right SKU and capture zero-party data.
Octane AI sells a different way — a guided product quiz that turns 'I don't know which one is right for me' into a routed add-to-cart, then captures zero-party data for follow-up. For broad-catalog stores (skincare, supplements, fashion, home), the on-quiz conversion lift is real and measurable.
The quizzes are genuinely well-engineered; AI Smart Products recommendations and Smart Copy personalization are included; you can publish as an embed, pop-up, landing page, or PDP block; and native Klaviyo + Shopify sync means quiz answers drive email/SMS flows. The honest tradeoff: it is not a conversational assistant — no order tracking, no support, no reactive Q&A — and credit-based pricing (1 credit = 1 quiz engagement) climbs on high-volume stores. It's the discovery specialist: a complement to Lasio or Rep, not a replacement.
What we liked
What we did not like
Broad-catalog stores where shoppers can't self-select the right product.
Stores whose bottleneck is answering questions or recovering carts, not product discovery.
Scorecard
| Criterion | What it asks | Score |
|---|---|---|
| Setup experience | How easy is it to install, configure, and launch? | 7.8 |
| Ease of use | How easy is the tool for a real merchant or team member to use? | 8.0 |
| Business impact | How likely is the tool to improve revenue, conversion, support, or retention? | 8.3 |
| Customer experience | Does the app improve or hurt the shopper experience? | 8.1 |
| Feature quality | Are the features useful, mature, and relevant? | 8.0 |
| Pricing value | Is the app worth the cost? | 7.6 |
| Scalability | Can the tool work as the store grows? | 7.9 |
| Overall | Plain mean of the seven criteria. | 8.0 |
Scoring per brand-bible §9 · Overall computed at render
A configurable library of 500+ specialized agents composed in a no-code studio.
Manifest AI is structured as a platform of 500+ prebuilt, configurable agents rather than one chatbot — a fit predictor, a closer, a support agent, a quiz agent — composed in a no-code studio. That flexibility is the pitch for mid-market stores that have outgrown a single-personality bot.
It ships GPT-powered product recommendations, cart/checkout recovery, quizzes, and multilingual replies, with native Shopify sync and helpdesk handoff to Gorgias/Zendesk. The honest tradeoff: pricing is sales-led and not publicly published (a ~$99/mo tier is cited, enterprise is custom), so it's hard to reason about before a demo; it needs more configuration than plug-and-play tools; and the breadth can be overkill for a small store. Its edge is the configurability ceiling — distinct agent personalities for sales vs. support surfaces.
What we liked
What we did not like
Mid-market Shopify brands that want multiple tailored agent personalities and will invest setup time.
Small stores that want one assistant live in an afternoon, or buyers who need transparent public pricing.
Scorecard
| Criterion | What it asks | Score |
|---|---|---|
| Setup experience | How easy is it to install, configure, and launch? | 7.4 |
| Ease of use | How easy is the tool for a real merchant or team member to use? | 7.6 |
| Business impact | How likely is the tool to improve revenue, conversion, support, or retention? | 8.2 |
| Customer experience | Does the app improve or hurt the shopper experience? | 7.9 |
| Feature quality | Are the features useful, mature, and relevant? | 8.3 |
| Pricing value | Is the app worth the cost? | 7.5 |
| Scalability | Can the tool work as the store grows? | 8.0 |
| Overall | Plain mean of the seven criteria. | 7.8 |
Scoring per brand-bible §9 · Overall computed at render

Fastest-to-launch chat widget with a competent FAQ-answering AI assist.
Tidio is the approachable option — a live chat widget with Lyro AI layered on, fast to set up, low day-to-day overhead. For a small store that wants a light AI assist rather than a purpose-built selling engine, it's the sensible starting point.
It has a free tier, the fastest setup in the guide, competent FAQ-style answers from Lyro, and multichannel coverage (Instagram, Messenger, WhatsApp). The honest tradeoff: Lyro is FAQ-grounded, not deeply catalog-grounded, so product answers lean generic; proactive selling is basic; and Lyro is a separate metered add-on from $39/50 conversations, with a hard jump from the $59 Growth plan to the $749 Plus plan and nothing in between. It's the 'just enough AI' pick — and the honest step before a store graduates to Lasio or Rep.
What we liked
What we did not like
Small Shopify teams that want a working widget with light AI, not a selling engine.
Stores where pre-sale product questions and conversion are the priority, or teams caught in the mid-volume pricing gap.
Scorecard
| Criterion | What it asks | Score |
|---|---|---|
| Setup experience | How easy is it to install, configure, and launch? | 8.6 |
| Ease of use | How easy is the tool for a real merchant or team member to use? | 8.5 |
| Business impact | How likely is the tool to improve revenue, conversion, support, or retention? | 7.2 |
| Customer experience | Does the app improve or hurt the shopper experience? | 7.7 |
| Feature quality | Are the features useful, mature, and relevant? | 7.3 |
| Pricing value | Is the app worth the cost? | 7.4 |
| Scalability | Can the tool work as the store grows? | 7.2 |
| Overall | Plain mean of the seven criteria. | 7.7 |
Scoring per brand-bible §9 · Overall computed at render

A shopping assistant grounded in Klaviyo's predictive customer data and real-time event stream.
Klaviyo's Customer Hub and Customer Agent extend its marketing data layer into an on-site shopping assistant. The pitch is unification: the same platform that runs your email/SMS already holds the predictive LTV, purchase history, and real-time event stream the assistant answers from.
Its customer-data depth is unmatched here (predictive LTV, churn, behavioral timeline), the Shopify event sync is real-time, and the assistant rides on data you already trust — strong for larger DTC brands already consolidated on Klaviyo. The honest tradeoff: the conversational assistant is newer and less proven for pure pre-purchase selling than Lasio or Rep; Klaviyo pricing scales aggressively with contact count; and it's a marketing platform first, with the assistant an extension rather than the core. It's the 'you already pay for this' pick.
What we liked
What we did not like
Larger DTC brands already consolidated on Klaviyo that want an assistant on the same data layer.
Stores not on Klaviyo, or anyone wanting a proven, selling-first assistant as the primary goal.
Scorecard
| Criterion | What it asks | Score |
|---|---|---|
| Setup experience | How easy is it to install, configure, and launch? | 7.2 |
| Ease of use | How easy is the tool for a real merchant or team member to use? | 7.4 |
| Business impact | How likely is the tool to improve revenue, conversion, support, or retention? | 8.0 |
| Customer experience | Does the app improve or hurt the shopper experience? | 7.8 |
| Feature quality | Are the features useful, mature, and relevant? | 8.4 |
| Pricing value | Is the app worth the cost? | 7.0 |
| Scalability | Can the tool work as the store grows? | 8.6 |
| Overall | Plain mean of the seven criteria. | 7.8 |
Scoring per brand-bible §9 · Overall computed at render
Pricing snapshot
A growing store where cart hesitation and pre-sale questions are the main revenue leak.
Proactive triggers + in-chat add-to-cart + checkout-pixel attribution target exactly this leak, and flat tiers with AI included keep the bill predictable as conversation volume grows.
A high-traffic store (100K+ visitors/mo) with a low conversation-to-visitor ratio.
Visitor-based pricing is more economical than per-conversation here, and the behavioral engine is built to catch exit intent at scale.
A broad-catalog store where shoppers can't tell which variant is right for them.
The bottleneck is discovery, not conversation — a routed quiz converts better than a chatbot, and the zero-party data compounds in Klaviyo. Pair with an assistant like Lasio for support.
A brand already running Klaviyo for email/SMS that wants an assistant on the same data.
The consolidation and data depth win; you're not rebuilding an identity layer. Accept that the assistant is newer and less selling-proven than Lasio.
A one-person store that just wants a widget with a little AI, live today.
Fastest setup, free tier, low overhead. Graduate to Lasio or Rep when selling (not answering) becomes the goal.
Best by use case
Overall AI sales assistant
Only tool built so the chat is a measured sales surface.
Exit-intent selling at scale
Behavioral engine + visitor pricing suits high traffic.
Pre-purchase product discovery
Quizzes route indecisive shoppers and capture zero-party data.
Configurable multi-agent setup
500+ agents composed in a no-code studio.
Small store, light AI assist
Fastest, cheapest, lowest overhead.
Already on Klaviyo
Assistant rides your existing data layer.
Trying AI without switching helpdesks
Runs as an overlay on Gorgias/Zendesk/Salesforce.
Tools we tested or evaluated that didn't make the cut, and why.
Genuinely strong guided selling, but priced and built for enterprise high-consideration catalogs (electronics, appliances) — the ROI math doesn't land on typical Shopify DTC.
Excellent AI upsell/recommendation engine, but it's a merchandising widget, not a conversational sales assistant — a different category.
Its shopping assistant is a support-platform add-on; we rank Gorgias in support and live-chat guides, not as a selling-first assistant.
Promising, but a thinner track record and shallower Shopify selling features than the six we kept; revisit next update.
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