Octane AI
AI quiz maker for Shopify that builds product recommendation quizzes and turns answers into personalized results pages.
If you sell on Shopify and personalization moves real revenue, Phoenix is the quiz tool to beat — the AI draft builder and selfie-based shade matching are things most rivals still make you wire up by hand. The credit model is the catch: overages run $0.10 per credit, so high-traffic stores need to model engagement volume before scaling past a plan. Basic's two-quiz cap will frustrate anyone testing multiple funnels.
Verified 10h ago · liveness 87/100 · cite: rightaichoice.com/tools/octane-ai
- Shopify beauty and skincare brands using selfie photo matching for shade and routine recommendations
- Fashion and apparel stores running size finders to cut returns
- Supplement and health brands matching shoppers to multi-product routines by goal
- DTC brands pushing quiz data into Klaviyo flows and segments in real time
- Non-Shopify merchants on WooCommerce or BigCommerce — catalog sync and Markets assume Shopify
- Simple lead capture with no product recommendation layer
- Stores whose traffic is too low for credit spend to be paid back by the AOV lift
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Skip Octane AI if you sell on WooCommerce or BigCommerce rather than Shopify, or if your quiz volume is low enough that credit spend won't be covered by the conversion lift.
AI features are included on every plan but spend extra credits on top of the 1 credit per quiz completion — Smart Products adds about 0.3 credits, so a quiz with AI recommendations runs roughly 1.3 credits.
Basic at $50/mo month-to-month ($43/mo billed yearly) with 400 credits suits a store testing quizzes for the first time. Plus at $200/mo month-to-month ($170/mo billed yearly) with 2,200 credits is where most scaling brands land, since A/B testing and unlimited quizzes unlock there. Enterprise at $500+/mo ($425+/mo billed yearly) adds a dedicated Account Manager and 7,250+ credits. Compared with Typeform or Digioh, you pay more for ecommerce-specific recommendation logic; you pay less than a
In short
Octane AI — AI quiz maker for Shopify that builds product recommendation quizzes and turns answers into personalized results pages. Best for Shopify beauty and skincare brands using selfie photo matching for shade and routine recommendations, Fashion and apparel stores running size finders to cut returns, Supplement and health brands matching shoppers to multi-product routines by goal. Plans from $50/mo.
No head-to-head comparison for Octane AI yet — the alternatives below are the closest matches we list.
What's new in Octane AI
Checked 7 days agoAcross the latest 1 update: 1 news mention.
What people actually say about Octane AI — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
16 mentions across 4 sources (Hacker News, YouTube, Product Hunt, Lemmy), 21 more we could not attribute · researched Oct 9, 2026.
Weighted by the 37 posts each of 4 sources contributed.
- +Deep vertical templates for beauty, skincare, apparel sizing, supplements, and food/beverage quizzes
- +No-code quiz builder with advanced logic branching on higher tiers
- +CORE-1 engine recommends specific catalog products based on quiz answers in real time
- +Real-time Klaviyo sync turns quiz answers into segments and flows, not a data silo
- +Image Analyzer offers photo-based shade matching with undertone detection for beauty
- −Shopify-only by design — merchants on other platforms are explicitly told to look elsewhere
- −Credit pricing plus AI credit add-ons can be pricey for small businesses
- −Only English is supported; default messages reportedly cannot be translated
- −Thin independent review footprint on Reddit, Stack Overflow, GitHub, App Store, and Trustpilot
- −Advanced features (A/B testing, custom CSS, unlimited quizzes) locked behind Plus tier
- • AI features draw additional credits on top of the base quiz engagement credit — Smart Products, Smart Copy, and Image Analyzer all consume fractional credits per interaction
- • High-traffic stores can see credit consumption scale unpredictably with user engagement
- • Advanced features are gated to Plus tier, so the effective price of meaningful analytics or A/B testing is higher than entry-level pricing
Viability Score
How well maintained and how widely used is Octane AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- AI quiz builder: describe the quiz or upload a Word, Excel or PDF sheet and get a working draft
- Product recommendation quiz with personalized results pages for Shopify stores
- Image Analyzer: photo-based shade matching that reads skin tone and undertone from a selfie
- Smart Products AI engine recommending catalog items in real time from quiz answers
- Smart Copy generating personalized results-page copy per shopper
- AI issues finder that walks every shopper path and flags broken logic or out-of-stock products
- Per-answer, per-product and per-taker analytics with revenue, drop-off and conversion
- Order attribution for up to 90 days after a quiz, matched by email
- Real-time Klaviyo sync with custom profile properties and quiz-completed trigger events
- A/B experiments on completion rate, order conversion and revenue per visit
- Open platform with API and MCP access to query quiz data from Claude or ChatGPT
- Advanced logic branching and unlimited quizzes (Plus and above)
- Shareable results pages and custom CSS branding without developers
- Built into Shopify: catalog sync, discounts, Markets, Metafields and Shopify Pay
- Zero-party data capture with shopper profiles, email opt-in widgets and quiz-taker insights
About Octane AI
Octane AI's Phoenix is an AI quiz maker built specifically for Shopify stores, where the quiz doubles as a merchandising surface rather than a lead-gen form. You describe the quiz in a sentence or drag in a Word, Excel or PDF quiz sheet, and Phoenix returns a working draft with questions, images, a product matrix and results pages. The target buyer is a DTC brand in skincare, beauty, fashion, supplements or food where the right recommendation depends on shade, skin type, size or goal. Several pieces do the heavy lifting. Image Analyzer lets a shopper snap a selfie and reads skin tone and undertone from it, then feeds that like any other answer into product selection. Smart Products picks catalog items in real time and Smart Copy writes personalized results-page copy per shopper. An AI issues finder walks every path a shopper could take and flags broken logic, unreachable pages and out-of-stock products before launch. Analytics go deeper than most quiz tools bother with: revenue, drop-off and conversion broken out by answer, product and individual taker, with orders matched by email for up to 90 days after a quiz. Quiz data syncs to Klaviyo in real time as profile properties and a quiz-completed trigger, and an open API plus MCP access lets you query quiz data from Claude or ChatGPT. Pricing is credit-based, where one credit roughly equals one quiz engagement and AI features consume a little more. Against Typeform or a generic quiz app, Phoenix trades flexibility for Shopify-native catalog sync, discount handling and attribution baked in — a narrower but sharper fit.
Behind the Verdict
Phoenix makes most sense for one kind of store: a Shopify brand with enough catalog depth and traffic that matching a shopper to the right SKU actually lifts average order value. If you're in skincare or beauty, the photo-based Image Analyzer is the standout — a selfie replaces a string of shade questions, and the answer flows into recommendations like any other response. We'd reach for this when the quiz is meant to earn, not just collect emails. Where it bites is the credit accounting. One credit is roughly one completed quiz, but Smart Products sips about 0.3 credits and Image Analyzer around 0.4 per interaction, so a completion with AI recommendations lands nearer 1.3. At $0.10 per overage credit, a store doing serious quiz volume outgrows Basic's 400 credits fast. Run the numbers against your monthly engagement before you commit — their estimator helps here, but the math is on you. The two-quiz ceiling on Basic is the other friction point. A brand testing a gift finder alongside a routine quiz needs Plus just to publish both, plus A/B testing and custom CSS. Budget for that jump rather than discovering it mid-campaign. The Klaviyo sync is where the data pays off. Quiz answers land as profile properties and a completion trigger fires in real time, so segments and flows update without export gymnastics. Per-taker analytics showing revenue by answer are genuinely useful for pruning questions that don't convert. Pass if you're on WooCommerce or BigCommerce — catalog sync, Markets and Metafields all assume Shopify. Pass too if you need heavily custom-coded logic; branching and custom CSS go far, but it's a quiz builder, not a blank canvas. Simple lead capture with no product recommendation layer is overkill here. Closest alternative is Typeform or a generic quiz
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Real-world workflow fit
Concrete scenarios for the personas Octane AI actually fits — and what changes day-one when you adopt it.
Launch a skin type quiz using the skincare vertical template, map answers to Klaviyo profile properties, and set a Smart Products rule so recommendations pull from the current catalog.
Outcome: Quiz goes live without code, quiz completion triggers a Klaviyo flow, and Image Analyzer drives photo-based shade matching with undertone detection to cut returns.
Build a size finder quiz, route ad traffic straight to it, and use Zero-Party Data capture plus opt-in widgets to grow the email list.
Outcome: Shoppers get fit recommendations based on measurement, body type and brand comparison data; the vendor reports up to 60% fewer returns on size finders.
Use the Agency Partner Program to stand up a taste profile or gift finder quiz per client, then monitor revenue attribution in Plus-tier analytics.
Outcome: Repeatable quiz builds across clients, with credits billed per quiz engagement and the Credits Estimator used to size each client's plan before sign-off.
Use Cases
- Beauty brand uses a skin quiz to recommend a foundation shade and full routine, with Image Analyzer driving 3x fewer returns on shade matching.
- Apparel store uses a size finder quiz to cut returns by up to 60% while lifting conversion.
- Supplements brand uses a health goal quiz to segment email lists and push subscription signups.
- Food subscription brand uses a taste profile quiz to personalize monthly boxes and reduce churn.
- DTC brand runs a gift finder quiz for holiday campaigns to capture seasonal revenue.
- Store runs a single product quiz that personalizes the pitch for one hero product, reporting 32% higher conversion.
- Lead generation campaign uses an interactive quiz to capture email and SMS opt-ins at a 42% rate.
- Agency manages quizzes across multiple client stores through the Octane AI Agency Partner Program.
Models Under the Hood
as of 2026-10-16
Limitations
- Octane AI is a quiz platform built specifically for Shopify.
- Pricing is credit-based: Basic $50/mo (400 credits, limited to two quizzes), Plus $200/mo (2,200 credits, unlimited quizzes, A/B testing, advanced features), and Enterprise $500+/mo (7,250+ credits or unlimited, dedicated account manager).
- One credit equals one quiz engagement and AI features consume additional credits.
as of 2026-09-30
Verification history
We have re-verified Octane AI 23 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 23 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Octane AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Octane AI Basic
$50/mo or $43/mo billed yearly
Ideal for
Small Shopify store testing quizzes for the first time, with under roughly 400 quiz engagements a month and only one or two quizzes to run.
What this tier adds
Starting tier — includes 400 credits, pop-ups and opt-ins, Klaviyo and Shopify sync, AI features and analytics, but caps you at two quizzes with no A/B testing.
Octane AI Plus
$200/mo or $170/mo billed yearly
Ideal for
Scaling Shopify brand where quizzes are a real acquisition channel and you need to test variants and run more than two quiz experiences.
What this tier adds
Adds unlimited quizzes, A/B testing, advanced analytics, advanced logic branching, custom CSS and 2,200 credits versus Basic's 400.
Octane AI Enterprise & Unlimited
$500+/mo or $425+/mo billed yearly
Ideal for
High-volume or high-touch Shopify brands that want a dedicated strategist plus unlimited credits instead of metering usage.
What this tier adds
Adds a Dedicated Account Manager, quiz strategy and optimization guidance, email flow blueprints, custom onboarding and monthly strategy calls, with 7,250+ credits or unlimited. Note there is also a contact-sales Enterprise option at custom pricing with unlimited credits, SOC 2
Enterprise (Custom)
Custom
Where the pricing makes sense
The company stage and team size where Octane AI's pricing actually pencils out — and where peers do it cheaper.
Basic at $50/mo month-to-month ($43/mo billed yearly) with 400 credits suits a store testing quizzes for the first time. Plus at $200/mo month-to-month ($170/mo billed yearly) with 2,200 credits is where most scaling brands land, since A/B testing and unlimited quizzes unlock there. Enterprise at $500+/mo ($425+/mo billed yearly) adds a dedicated Account Manager and 7,250+ credits. Compared with Typeform or Digioh, you pay more for ecommerce-specific recommendation logic; you pay less than a
Setup time & first value
How long it actually takes to get something useful out of Octane AI — broken out by persona, not the marketing-page minute.
First quiz is template-driven, so a Shopify store can typically publish a working quiz the same day it connects the app. Expect a few hours for template selection, Klaviyo property mapping and results-page copy review. Branding via custom CSS requires Plus. Enterprise onboarding adds a dedicated Account Manager for strategy and email flow blueprints.
Switching to or from Octane AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Typeform: rebuild using Octane AI's vertical quiz templates and connect the results page to Shopify products for real recommendations instead of static outcomes.
- →From Digioh: move quiz logic into an Octane AI template and re-point data syncs to Klaviyo profile properties.
- →From a custom-coded quiz: import quiz questions manually, use Smart Products for recommendations, and use custom CSS on Plus to match existing branding.
- →From a generic Shopify quiz app: map existing quiz answers to Smart Properties so segments carry over rather than being rebuilt.
- ↗To Typeform: export quiz questions and rebuild as a general form, accepting the loss of catalog-aware product recommendations.
- ↗To a custom build: use Enterprise API access to pull quiz data out before you leave, and rebuild recommendation logic in-house.
- ↗To Klaviyo forms: recreate opt-in steps natively, though you lose AI product recommendations, shade matching and Smart Copy.
- ↗To Digioh: migrate quiz flows for broader personalization, but expect to rebuild ecommerce-specific recommendation logic from scratch.
Integrations
Resources & Guides
- Resourceoctaneai.com
Octane AI Blog - Ecommerce Quiz Strategies
Learn how to grow your ecommerce business with personalized quizzes and AI-powered recommendations.
- Resourceoctaneai.com
Octane AI Case Studies - Ecommerce Success Stories
See how leading brands use Octane AI quizzes to grow revenue and collect subscribers.
Tutorials & Learning
YouTube returned 6 videos for “Octane AI”, and we withheld 5: 5 could not be judged, because “Octane AI” is a single word that other videos use for other things. Showing the 1 we can prove is about Octane AI.
Official links
Tools that pair well with Octane AI
Common stack mates teams adopt alongside Octane AI, with the specific reason each pairing earns its keep.
Yuma AI
Yuma AI resolves ecommerce support tickets end to end with AI agents that act in Shopify, not just draft replies.
SayWhatt
SayWhatt is an AI sales assistant that turns e-commerce product questions into guided, expert buying conversations.
Gorgias
Gorgias is the ecommerce helpdesk with a built-in AI Agent that resolves tickets and sells on Shopify.
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Frequently Asked Questions
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