Top 8 AI agents and support chatbots for Magento and Adobe Commerce (2026)

Running a Magento or Adobe Commerce store comes with countless support tickets, from shipping delays to return requests and B2B order questions. The 111,495 active Magento stores (Q1 2026, down roughly 10% year on year) skew enterprise: multi-store, multi-language, ERP-connected and heavily customised. That makes the AI question different here than on any other platform.

In this list, we break down the top 8 AI agents and support chatbots for Magento and Adobe Commerce. It is the Magento drill-down of our wider guide to the best AI chatbots for e-commerce: platform-agnostic tools live there, and the Magento-specific picture lives here. On Shopify instead? That lane has its own top 8. One of the eight (Engaige) is ours, so we show our working: the methodology below applies to us too. For the platform-agnostic shortlist across every helpdesk, see our guide to the best AI agents for customer service.

How is this list created?

This list is generated based on the Magento or Adobe Commerce integration each tool publishes. The inclusion rule: a tool must publish a genuine Magento integration, as a native module, marketplace extension or a documented API connection. A tool that does not publish one is left out and named below.

Integration depth, how far that integration lets the AI act (from reading order data, to processing refunds and cancellations, to subscription changes), then carries the joint-heaviest weight in the six-criterion matrix that orders this list.

One test for every number you’ll see, ours included: which named customer produced it, over what period, and what does the vendor count as “resolved”? A rate with none of those attached is a marketing figure, not a benchmark. Resolution figures below are vendor-stated unless noted, and how well a vendor substantiates its own claims counts toward its transparency score.

There is a fourth test, and it is yours to run as the buyer: ask every vendor, us included, to execute a refund or cancellation in a sandbox on your store before you sign. A live sandbox action settles in minutes what an integrations page can leave vague.

The exclusion note, because the rule only means something if it excludes real names:

• Ada: Magento is absent from its integrations page.
• Siena: its published commerce integrations are Shopify and Fulfil only.
• Yuma: claimed but not documented. Its FAQ names Magento 2 and Adobe Commerce, but its integrations page omits them.
• Tidio: publishes a widget-level install doc for Adobe Commerce; Lyro’s Magento action depth is not published.
• Zendesk (first-party): no first-party Magento app; connectors like agnoStack are third-party.
• Re:amaze: a Magento page exists, but the detail is Magento-1-era and current depth is unpublished.

What should you look for in a Magento AI agent or support chatbot?

The short answer: an AI customer support tool for Magento that acts through the Magento 2 REST API, across both Magento Open Source and Adobe Commerce, rather than one that only syncs order data into a helpdesk. Magento setups are customised by default, so the AI must handle your custom attributes, policies and workflows, and prove its resolution numbers. Here is what that means in practice.

Deep Magento and helpdesk integrations

A great AI agent connects directly to your Magento store and helpdesk so it can pull order details automatically and update tickets in real time. When a customer asks “Where’s my order?”, the classic WISMO ticket, the agent can instantly check Magento for tracking info and share it, no manual lookup required.

On Magento that bar is higher than elsewhere. Stores run multiple websites, store views and languages from one instance, often with custom order attributes and an ERP behind the scenes. An AI agent that only reads a standard order object will miss the context your customers actually ask about, so check that the integration covers your customisations, not just a vanilla install.

Breadth of integrations versus depth of integration

While comparing, you will meet integration counts: eDesk states it “natively connects with over 300+ marketplace, web store and social channels” on its integrations page, and Yuma lists 60+ integrations (both vendor-stated). Counts are countable, which is exactly what they are good for: they answer “can we start, with the stack we already run?”

Depth answers the question that decides month six: do the hard tickets, refunds, credit memos, RMAs, still get resolved, or do they still land on your team? Breadth is the sprinter, quick off the line; depth is the marathon runner still resolving at kilometre thirty. No tool covers every connection natively, us included, so weigh the count against what the AI can actually execute on Magento.

If a connection you need is not there yet, we build it on demand and you are live in about a week. Competitor counts are factual where they exist; what we add is a fast path to the connection you are missing.

Ability to take actions through the Magento API (not just suggest replies)

Unlike simple chatbots that only suggest text, the best AI agents take actions in your store through the Magento 2 REST API, like processing refunds, cancelling orders, or changing subscriptions. Customers asking about an order often don’t just want information, they want a problem resolved.

One caveat on every rate below, ours included: a resolution rate only means something by ticket complexity. The easy bulk (order status, returns, address changes) is table stakes that any modern AI clears; the hard middle (partial refunds, complex or multi-item returns, judgement calls) is the real test. We set out how to read a resolution rate in our e-commerce guide.

Watch for one distinction this page returns to repeatedly: agent-side buttons versus AI-executed actions. Several helpdesks let your human agents cancel orders or issue credit memos from the ticket view. That is useful, but it is not automation: a person still does the work. The question to put to every vendor is what the AI executes on its own, on which edition, under what approvals.

Trained on your business policies

Your AI agent should understand your unique return windows, shipping rules, and discount policies so it always gives accurate, on-brand responses. For a Magento store that usually means several policy sets at once: different rules per website, per country, per language, and often separate B2C and B2B terms.

If you have a 30-day return policy on one store view but final sale on outlet items, the AI must know not to promise a refund where it isn’t allowed. Being trained on your policies avoids misunderstandings, reduces escalations, and keeps answers consistent across every storefront you run from the same instance.

Context-aware: sees orders, history, and knows your tone of voice

A context-aware AI agent doesn’t just see the latest message, it has visibility into the customer’s entire order history and past support interactions. If someone writes in about a missing item, it can check their recent orders, see that part of the shipment went separately, and respond with the tracking link and an explanation.

It’s not just about knowing the facts, it’s about delivering answers in a tone that feels human, friendly, and aligned with how your support team would naturally respond. On a multi-language Adobe Commerce setup, that includes answering in the customer’s language with the right storefront’s policies.

Proven ROI through reasoning, ticket deflection and resolution

One of the biggest benefits of a strong AI agent is its ability to deflect and resolve the repetitive tickets that take up most of your team’s time, like “Where’s my order?” or “How do I return this?”. But ROI isn’t just about automation, it’s about reasoning: understanding what the customer is really asking, applying your policies and context, and choosing the right next step automatically.

By combining reasoning with API-level actions, you get fast, accurate resolutions, less manual workload, and a team free to focus on the complex B2B and ERP-touching conversations no AI should handle alone.

Magento operators who have run that comparison say the differentiator is not the feature list:

What’s the difference between a chatbot and an AI agent for a Magento store?

Now that you know what to look for, it’s also important to understand how AI agents differ from basic chatbots. People use “chatbot” and “AI agent” interchangeably across AI customer support, but for a busy Magento or Adobe Commerce store the difference decides how many tickets actually disappear.

A basic chatbot is usually rule-based or keyword-triggered

It follows simple scripts to answer FAQs like “What are your opening hours?” or “Do you ship internationally?”. These bots are limited because they can’t understand customer context or take meaningful action in your Magento store. If a customer asks to cancel an order or check delivery status, the chatbot typically says: “Please wait for an agent” or links to your help page.

Pros and cons:

• Cheap and easy to set up
• Good for very simple FAQs
• Can’t access Magento data or perform actions
• Often frustrate customers with dead ends (“Please email us”)

An AI agent is designed to automate support tasks, not just answer questions

It connects directly to your Magento store and helpdesk, so it can check real-time order data, process refunds, cancel orders, or change subscriptions. If a customer messages: “Can I cancel order #100004321?”, the AI agent can check whether it’s still unshipped and cancel it immediately, updating the customer without any human intervention.

Pros and cons:

• Can handle real support tasks end-to-end
• Personalised responses with real order data, including custom attributes
• Reduces workload for your team by solving issues automatically
• Slightly more complex to implement (needs API integration and training)

On Magento there is a third category to watch: helpdesks whose human agents get order buttons while the AI itself only drafts or answers. That is agent productivity, not automation. When evaluating the tools below, keep asking the same question: who clicks, the AI or your team?

How deep does each tool act inside Magento?

Before the list, here is the qualifying axis in one picture. Depth measures how far each tool’s published integration lets the AI act in your store, from reading order data (shallow) to executing refunds, cancellations and subscription changes through the API (deep). Engaige leads this list overall; Minimal matches us on documented depth alone, and the overall ranking below also weighs resolution, pricing and transparency, where Engaige comes out ahead.

One principle frames everything below: vendor resolution rates do not transfer across platforms. A rate earned on Shopify says little about Magento, and integration depth here determines what is achievable on your store. Gorgias’s AI Agent not being supported on Magento, covered in its entry below, is the proof.

Depth is not the number of integrations a vendor lists; it is how far the AI can act per integration. That is why the score matrix further down puts depth first, level with resolution at the heaviest weight.

Depth measures how far the AI can act per the vendor’s published material, not integration count. Engaige leads at the top; Minimal matches on documented depth alone, both vendor claims, ours included, and the same substantiation tests apply to Engaige as to Minimal. A tool is credited for depth only on what it documents; undocumented action capability is noted “action docs not published”. Gorgias and Richpanel score on agent-side actions. Source: public docs + our analysis, June 2026.

The list: top 8 AI agents and support chatbots for Magento and Adobe Commerce (2026)

Alright, enough with the theory. It’s time to take a closer look at the different AI agents and support chatbots. The entries follow the weighted ranking from the score matrix further down. What exactly does each tool do inside Magento and Adobe Commerce, how do they differ, and what’s the best use case for each? Let’s find out below.

1. Engaige

letsengaige.com (that’s us!)

Engaige is an AI agent for customer service built for e-commerce support teams in industries like fashion, beauty, and electronics. It doesn’t just respond to tickets: it resolves them end-to-end by understanding your products, policies, and workflows, instructed in plain language through an AI Manager. On Magento it connects to both editions, Magento Open Source and Adobe Commerce, through the documented API; the integration is listed on our integrations page.

The verified outcomes, with the case studies open for inspection: Otrium resolves 65% of 120,000 annual tickets autonomously, and HelloPrint automated 70% of support, cut first-response time by 90%, and shrank its team from 100 to 28. On product-advice tickets it also lifts conversion 7-12% (first-party Engaige figure). The “up to 80%” we state is our ceiling at the deepest integrations, the same kind of vendor-stated ceiling you should challenge every supplier on.

Neither is a Magento case study: our named outcomes (Otrium, HelloPrint) are e-commerce deployments, so that depth statement is our claim, and the sandbox test from the top of this page applies to us first.

On depth we take all the actions a ticket needs, sandbox-tested, with Minimal matching our depth score on documented actions alone. What separates us, and puts Engaige top of this list overall, is substantiation, the named outcomes above, not the length of the action list. If a connection you need is not there yet, we build it on demand and you are live in about a week.

Inside Magento it can: read orders, catalogue and customer history in real time across Magento Open Source and Adobe Commerce; process refunds and cancellations per your policy; handle subscription changes; work with complex, customised setups via the documented API.

Key features:

• AI agent trained on your company’s policies, in plain language (no prompt engineers)
• Fully integrated with Magento Open Source and Adobe Commerce via the documented API
• AI agent integrated with your product catalogue
• Automates conversations via email, chat and social
• You can test and preview your AI agent outputs before they go live

Pros

• Resolves the repetitive middle end to end: named outcomes of 65% (Otrium) and 70% (HelloPrint), with up to 80% as our stated ceiling
• Full control and transparency over AI behaviour
• Flat monthly pricing to a ticket volume, so the bill stays predictable as you scale

Cons

• Needs an initial training phase on your policies, so it ramps over weeks rather than launching same-day

The catch: that ramp is real, which is why we score ourselves a 3 on time-to-value in our own matrix. Deep integration is a marathon, not a sprint, though you are live in days: 30-50% of tickets autonomous in week 2, up to 80% by week 4, that last figure our ceiling at the deepest integrations. A customised, multi-storefront Magento instance means more policies to train on before go-live.

Best for: Magento and Adobe Commerce stores in fashion, beauty and consumer electronics looking to scale customer service with deep automation.

2. eesel

eesel.ai

eesel is an AI layer that sits on your existing helpdesk, and its Magento integration page names both editions explicitly: Adobe Commerce (cloud) and Magento Open Source. It reads your catalogue, orders and promotions, and handles returns in semi-automatic and autonomous modes (vendor-stated). Pricing is unusually concrete: $0.40 per chat session with no platform fee.

What earns eesel its position is restraint: it claims only what it documents. Returns handling is published; refunds, cancellations and order edits are not claimed at all. On a page full of vendors stretching their integration claims, that precision counts toward transparency, and the per-session price makes the maths easy to run before you commit.

Inside Magento it can: read catalogue, order and promotion data on both Magento Open Source and Adobe Commerce; handle returns in semi-automatic and autonomous modes. Refunds and order edits are not part of the documented offer.

Key features:

• Names both Magento editions explicitly on its integration page
• Returns handled in semi-automatic or fully autonomous mode
• Sits on top of your existing helpdesk rather than replacing it
• Public per-session pricing: $0.40 per chat session, no platform fee

Pros

• Documents exactly what it does and claims nothing more
• Cheapest entry into genuine AI-handled returns on Magento
• Keep your current helpdesk and tooling

Cons

• Action depth stops at returns: no refund, cancellation or order-edit claims
• Per-session billing scales with conversation volume
• No published Magento resolution rate or named Magento customer

The catch: returns are one job. If your ticket mix needs refunds, cancellations or subscription changes executed by the AI, eesel’s documented Magento scope does not cover it.

Best for: Magento stores that want affordable, honest AI on top of their existing helpdesk, starting with returns.

3. DigitalGenius

digitalgenius.com

DigitalGenius is the enterprise entry, an AI platform for retail brands with public integration docs for Magento 1 and 2, via an Admin access token with Sales and Customers scope, per its Magento docs page. Its named customers are enterprise retail: On and AllSaints, with On’s wait times cut by 93% (vendor-stated).

The nuance to check in a demo: the Magento docs detail the connection and data scope, while the action claims (returns, order edits, replacements) sit at platform level on its homepage rather than in the Magento docs. For an ERP-connected Adobe Commerce estate that enterprise posture is a feature; for a leaner team it is overhead.

Inside Magento it can: connect to Magento 1 and 2 via an Admin access token with Sales and Customers scope, per its public docs. Magento-specific write actions are not detailed on the docs page; action claims are platform-wide.

Key features:

• Public developer docs for both Magento 1 and Magento 2
• Enterprise retail track record with named customers (On, AllSaints)
• Platform-wide automation claims spanning returns, replacements and carrier integrations
• Built for high-volume, multi-market operations

Pros

• Named enterprise outcomes, including On’s 93% wait-time reduction (vendor-stated)
• Public docs you can hand to your developers before a sales call
• Fits ERP-connected, multi-market Magento estates

Cons

• Quote-based pricing, not public
• Magento write actions not detailed in the docs, so verify depth on your edition
• Enterprise deployment, not a quick start

The catch: you are buying an enterprise programme, not an app install. Budget for implementation time and confirm in writing which actions the AI executes on your Magento edition.

Best for: Enterprise Magento and Adobe Commerce retailers with ERP-connected operations and the volume to justify a platform deployment.

4. Gorgias

gorgias.com

Gorgias calls itself “the only helpdesk designed for Magento” (their words) on its Magento page, and as a helpdesk the claim has substance: its docs cover Magento 2.2 to 2.4 across Open Source, Commerce and cloud, and agent permissions include viewing and editing orders, cancellations and credit memos, right from the ticket view.

The asterisk is the AI. Gorgias states in its documentation that its AI Agent “is not supported on stores that use BigCommerce, Magento or WooCommerce”. The “60% of inquiries resolved instantly” headline (vendor-stated) belongs to that Shopify-scoped AI Agent. On Magento, the order actions exist, but your human agents execute them.

Inside Magento it can: let agents view and edit orders, cancel orders and issue credit memos from the helpdesk, across Magento 2.2-2.4 on Open Source, Commerce and cloud. Per its documentation, the AI Agent is not supported on Magento stores.

Key features:

• Dedicated Magento helpdesk positioning with documented 2.2-2.4 coverage
• Agent-side order actions: view, edit, cancel, credit memos
• Multichannel inbox combining email, chat and social
• Robust macros for agent productivity and consistent responses

Pros

• The deepest agent-side Magento order tooling on this list
• Honest documentation: the AI limitation is stated plainly in its own docs
• Mature helpdesk ecosystem

Cons

• The AI Agent that defines Gorgias on Shopify is not supported on Magento, per its documentation
• Order actions are human-executed, so headcount still scales with volume
• Seat pricing for a tool whose automation layer is unavailable on your platform

The catch: on Magento you are buying Gorgias the helpdesk, not Gorgias the AI. Every order action it enables still consumes an agent’s time.

Best for: Magento teams that want a strong human-agent helpdesk with native order actions, and accept that the AI layer stays off.

5. Richpanel

richpanel.com

Richpanel publishes a Magento integration page and an Adobe Commerce Marketplace extension. The documented actions are agent-side: “update discounts, addresses, and refunds” from the helpdesk (vendor-stated). Its headline AI numbers, 70-80% resolved autonomously at maturity and a 50% guarantee in the first 30 days, are platform-level claims (both vendor-stated, per its homepage).

The question to put to its team is whether those AI numbers transfer to Magento, because the Magento page documents what agents can do, not what the AI executes. The marketplace extension and self-service portal are real assets; the AI-on-Magento depth is the unknown.

Inside Magento it can: let agents update discounts, addresses and refunds from the helpdesk via its integration and marketplace extension; run a self-service portal on your store data. AI-executed action depth on Magento is not stated.

Key features:

• Magento integration page plus an Adobe Commerce Marketplace extension
• Agent-side actions: discounts, addresses, refunds
• Branded self-service portal
• Centralised multichannel inbox

Pros

• A published guarantee (50% in 30 days) is rare accountability, if it applies to your platform
• Marketplace extension signals real Magento investment
• E-commerce-native helpdesk design

Cons

• Documented Magento actions are agent-side buttons, not AI-executed
• Whether the 70-80% AI claims transfer to Magento is not published
• Deeper value requires adopting the full Richpanel platform

The catch: the impressive numbers and the Magento documentation describe two different layers. Get the AI’s Magento action list, and the guarantee’s applicability, in writing.

Best for: Magento teams that want a helpdesk with agent-side order tooling and a self-service portal, and will verify the AI claims themselves.

6. Minimal

gominimal.ai

Minimal documents a long, granular AI-executed action list on Magento, so on documentation alone the depth scores meet. They do not meet anywhere else: Minimal’s own two posts disagree on what is in the list, there is no named customer behind it, and Engaige leads this list overall on the strength of proof, not documentation.

Its Magento deep-dive describes order lookup including custom attributes, full and partial refunds, cancelling and editing orders, and customer data access (all vendor-stated). Its own Magento listicle additionally claims store credit and RMA handling, which do not appear in the deep-dive, so treat those two as listicle-only claims.

If the claims hold, that is genuine AI-executed depth, custom attributes included. What’s missing is everything around them: no published pricing, no named Magento customer, no case study, and the two posts disagree on the action list. Apply the four tests from the top of this page, the sandbox one especially, and ask for references.

Inside Magento it can: per its own posts, look up orders including custom attributes, process full and partial refunds, cancel and edit orders, and access customer data (vendor-stated). Store credit and RMA handling appear in its listicle only.

Key features:

• Claimed AI-executed actions: refunds (full and partial), order cancellation and edits
• Claimed support for custom order attributes, the customised-Magento pain point
• AI agent positioning rather than helpdesk-plus-buttons
• Published Magento-specific content showing platform focus

Pros

• A deep claimed AI action list, matching Engaige on the documented-depth axis
• Custom-attribute support targets exactly what makes Magento stores hard
• Direct competitor energy: it is visibly investing in this platform

Cons

• No public pricing
• No named Magento customer or case study to verify any claim
• Its own posts disagree on the action list (store credit and RMA are listicle-only)

The catch: every fact above traces to Minimal’s own blog posts and nowhere else. Documented claims earn the depth score, so Minimal matches Engaige on that axis alone, but without substantiation they cost transparency, which is why it trails Engaige on the weighted total and sits here rather than higher.

Best for: Magento stores willing to pilot a newer vendor and verify deep action claims first-hand before committing.

7. Webkul AI chatbot module

commercemarketplace.adobe.com

Webkul’s “AI Chatbot using Open Source LLM” is the cheap-native baseline of this list: a module on the official marketplace at $1,299 one-time. It handles product and order questions and tracking lookups inside your store, with no write actions (vendor-stated).

It earns its slot for a structural reason: Adobe ships no native support AI assistant for Commerce (checked June 2026). There is no Magento equivalent of a free built-in inbox with AI, so the marketplace module tier is the closest thing to a native baseline, and at a one-time price it is the easiest ROI maths on this page.

Inside Magento it can: answer product and order questions and provide order tracking from your store data, as a native module. No write actions: refunds, cancellations and returns stay manual.

Key features:

• Native Magento 2 module from the official Adobe Commerce Marketplace
• One-time licence: $1,299, no recurring AI fees
• Product and order Q&A plus order tracking
• Runs on an open-source LLM rather than a per-token vendor API

Pros

• One-time cost makes the ROI bar very low
• Native module: no third-party SaaS layer between the AI and your store
• Covers the basic Q&A and tracking tier of tickets

Cons

• Q&A only: it answers, it does not act
• An open-source LLM module needs technical ownership to run well
• No resolution rates or named customers published

The catch: this is a chatbot, not an AI agent, by this page’s own definitions. It will absorb simple questions; everything requiring an action still lands on your team.

Best for: Magento stores that want a cheap, native Q&A and tracking baseline before investing in real automation.

8. Kustomer

kustomer.com

Kustomer is an enterprise CRM-helpdesk that publishes a Magento and Adobe Commerce integration syncing customers, orders and real-time cart data into its customer timeline, with setup documentation to match. The published depth is read and sync level: commerce context flows in, and agents work from one screen.

For a large team consolidating channels onto a CRM-grade platform, that context is valuable. Against this page’s qualifying axis it is the shallow end: the published Magento integration brings data in rather than letting an AI act on orders.

Inside Magento it can: sync customers, orders and real-time cart data into the Kustomer timeline, per its integration docs. Magento order actions are not part of the published offer.

Key features:

• Published Magento/Adobe Commerce integration with setup docs
• Customer timeline unifying commerce context with every conversation
• Enterprise CRM-helpdesk with omnichannel routing
• Real-time cart visibility during conversations

Pros

• Clean, documented data sync from Magento into a CRM-grade timeline
• Strong fit for large teams consolidating support channels
• Real-time cart context helps pre-sales conversations

Cons

• Published integration is data-in only: no Magento order actions
• Enterprise platform weight and pricing for what is, here, a sync
• No Magento-specific AI depth or resolution numbers published

The catch: on this page’s axis, Kustomer’s Magento integration informs the humans rather than empowering an AI. You get context, not automation.

Best for: Enterprise teams standardising on a CRM-helpdesk that need Magento order context in the timeline, not Magento automation.

Comparison of the best AI agents and support chatbots for Magento stores

Engaige leads this list overall and, with Minimal, claims the deepest AI-executed actions on Magento, though only Engaige backs that depth with named outcomes. eesel automates returns only, and DigitalGenius keeps its action claims at platform level rather than in its Magento docs. Gorgias and Richpanel document agent-side buttons, not AI execution, Webkul answers without acting, and Kustomer syncs data in. The table summarises what each AI customer support tool for Magento does inside the store.

How do they score side by side?

Engaige leads at 4.65 out of 5, ahead of eesel (3.4) and DigitalGenius (3.2), with Minimal at 3.2, Gorgias and Richpanel level on 3.1, Webkul at 2.8 and Kustomer at 2.5. The gap traces to the two heaviest criteria: Magento-native action depth and resolution backed by named, openable outcomes.

A vendor’s resolution ceiling is roughly its action depth times its integration breadth, with depth the heavier multiplier. That is why depth and resolution carry the joint-heaviest weight in the matrix.

The method: scores are 1-5 per criterion, multiplied by weight and summed to a weighted score out of 5 (rounded to one decimal), sorted highest first, based on public information and our own research, June 2026.

The criteria and weights match our e-commerce comparison, but every criterion is scored for a Magento deployment specifically, pricing and configurability included, so a vendor’s scores can differ across our platform guides and totals are not 1:1 comparable. Our own row is identical across the four platform guides because our published claims, pricing and ramp are the same on each platform; competitor rows move because theirs differ.

We are Engaige, so treat our row as an interested party: the scores credit named outcomes you can open over homepage claims, and substantiation counts toward transparency.

A fair word on the table. Engaige leads on the weighted total. Minimal matches our depth score (5) on the documented-action axis alone, but trails us on proven resolution and the total; what separates us is substantiation, not depth. Gorgias earns the same transparency score we hold, because its docs state plainly what its AI cannot do on Magento. eesel outscores bigger names by claiming only what it documents. Engaige’s lead is flat pricing, plain-language configurability, and openable outcomes.

Hold our numbers to the same test as everyone else’s. Our named, verifiable outcomes are Otrium (65% of 120,000 annual tickets) and HelloPrint (70%), each a full case study you can read. The “up to 80%” on our homepage is our ceiling at the deepest integrations: the same kind of vendor-stated ceiling you should challenge every supplier on, us included.

Verdict per criterion

No tool wins on everything, which is the honest reading of the matrix. The weighted total rewards balance, but most buyers have one criterion that matters more than the rest: the cheapest start, the fastest launch, or the deepest AI-executed actions on Magento. Broken out per criterion, the picture looks like this.

• Magento-native action depth. Engaige scores top here, matched by Minimal on documented depth alone, and both are vendor claims, ours included. Engaige leads the list once resolution and the weighted total are counted. The fault line below them: Gorgias and Richpanel document agent-side buttons, not AI-executed actions.
• Resolution level. Won by Engaige on named, openable outcomes (65% and 70%), with DigitalGenius’s enterprise results close behind. Notably, no vendor on this list publishes a Magento-specific resolution rate; every headline number was produced elsewhere.
• Pricing predictability. Won by Webkul ($1,299 one-time) and Engaige (flat monthly to a ticket volume). eesel’s $0.40 per session is public but scales with volume; Minimal and DigitalGenius are quote-based.
• Transparency and control. Gorgias’s docs honesty, eesel’s claim-only-what-you-document restraint, and DigitalGenius’s public developer docs all score well; Engaige adds preview-before-live control. Minimal’s unsubstantiated claims cost it here.
• Time-to-value. Won by the Webkul module and eesel’s helpdesk-overlay model; Gorgias’s documented Magento install is quick for a helpdesk. The deep agents trade launch speed for a higher ceiling, the ramp-up trade we explain in the e-commerce guide.
• Configurability. Won by Engaige’s plain-language AI Manager; Gorgias and Richpanel offer mature helpdesk rules; the enterprise platforms need implementation support.

What does an AI agent for Magento cost?

AI support on Magento and Adobe Commerce is priced five different ways, and the model matters more than the sticker. Adobe ships no native support AI for Commerce, so there is no free baseline like Shopify’s Inbox: the cheapest native option is a one-time marketplace module, and everything deeper is a recurring commitment.

The two-layer anatomy to watch on Magento specifically: if the tool is also your helpdesk, you pay per agent seat before any AI, and on this platform the AI layer often is not available (Gorgias states its AI Agent is not supported on Magento) or not published (Richpanel). The honest comparison remains total cost per resolved ticket, not the headline per-unit price.

FAQs about AI agents and support chatbots for Magento and Adobe Commerce

The questions Magento and Adobe Commerce teams ask most when comparing these tools, answered from the research above.

What is the difference between a chatbot and an AI agent for a Magento store?

A chatbot answers questions, usually from scripts or FAQs, and hands anything real to your team. An AI agent connects to your Magento store through the API and acts: it reads the order, applies your policy, and processes the refund, cancellation or subscription change itself. The dividing line is whether it acts in Magento or only replies.

Does Magento or Adobe Commerce have a built-in AI for customer support?

No. Adobe ships no native support AI assistant for Commerce (checked June 2026), so there is no Magento equivalent of Shopify Inbox. The closest native baseline is the marketplace module tier, like Webkul’s $1,299 one-time AI chatbot, which answers product and order questions but takes no actions.

Does Gorgias’s AI Agent work on Magento?

No. Gorgias’s documentation states the AI Agent “is not supported on stores that use BigCommerce, Magento or WooCommerce”. The Gorgias helpdesk itself supports Magento 2.2-2.4 across Open Source, Commerce and cloud, with agent-side order actions including edits, cancellations and credit memos, but those actions are executed by your human agents, not the AI.

How many tickets can an AI agent resolve for a Magento store?

There is no single honest figure. Vendor-stated rates on this list range from FAQ-level deflection to “up to 80%” ceilings, and ceilings are best-case figures, not guarantees. The named outcomes on this list are 65% (Otrium) and 70% (HelloPrint), and no vendor here publishes a Magento-specific rate. Pilot on your own ticket mix.

Does an AI agent work on both Magento Open Source and Adobe Commerce?

It depends on the vendor, so check the integration page for your edition. Engaige and eesel name both editions explicitly; Gorgias’s helpdesk docs cover Magento 2.2-2.4 across Open Source, Commerce and cloud; others publish a single “Magento” integration without specifying. Confirm your edition, version and customisations before any pilot.

What does an AI agent for Magento cost?

Five models: a one-time module licence ($1,299 for Webkul), flat monthly to a ticket volume (predictable as you scale), per chat session ($0.40 at eesel), helpdesk seats (which on Magento mostly buy human work), or quote-based enterprise pricing. Compare tools on the total cost per resolved ticket, not the per-unit headline.