My AskAI vs Zipchat: Features, Pricing, and Results (2026)

Zipchat's entry plan buys 500 AI replies for $49 a month, and every reply past that bundle costs roughly double; we bill per ticket instead, at about ten cents. Under about 1,500 tickets a month Zipchat is the cheaper meter, and above that the two lines cross and keep separating in our favor. Zipchat answers the shopper still deciding whether to buy; we answer the support queue that follows the order.

I co-founded My AskAI, so one of the two products here is mine and you should read the scorecard with that in mind.

Search for either one of us and the other turns up in the same shortlist. Zipchat sits on the product page and works to turn a browsing shopper into an order. Our agent picks up the ticket that arrives after that order, in the inbox your team already works in.

A Shopify merchant with 40 pre-sales chats a day and a merchant with 4,000 post-purchase tickets a month want different tools.

The buying mistake I see is a support team buying a sales agent and then wondering why the ticket backlog has not moved.

My AskAI vs Zipchat at a glance

What AI can I use to reply in Shopify?

Zipchat installs on the storefront. Its homepage leads with "Proactive AI that sells, recovers carts, and supports", and its dashboard documentation shows what it counts as success: Sales including a conversation, Total Orders, Chat-to-Sale Conversion Rate and Average Order Value.

Its integrations page lists six ecommerce platforms: Shopify, WooCommerce, BigCommerce, Magento, PrestaShop and Wix.

We work from the inbox side. My AskAI installs into the helpdesk your team already runs and answers in the threads that are there already. That means Gorgias, Zendesk, Freshdesk, Intercom or HubSpot (one at a time, for most teams), using the same inbox, the same tags and the same routing you have today.

We get measured on how many tickets the agent closes without a human touching them.

The two sides overlap in one place. We added a Shopify Task that gives product recommendations, so the pre-sales questions about size, stock and compatibility are covered on our side too.

Zipchat has built much further down the conversion path than we have, with product cards, add-to-cart from search and revenue attribution. Most of what a shopper asks before buying is a policy question: shipping times, return windows, sizing, whether an item fits the one they already own. Those are the questions we answer all day.

Both products review well on G2:

Our complete guide to Zipchat has the full feature and pricing breakdown, and a separate post covers how My AskAI's pricing works.

How does an AI customer service agent work in Shopify?

The mechanics are similar on both sides. You point the agent at your content, it indexes it, and when a customer asks something the agent pulls the relevant material before writing a reply. The retrieval step keeps the answers yours, because the reply is built out of your own pages.

Zipchat produces the answer in a chat bubble on the storefront, then optionally passes it into Zendesk. We produce the answer inside the helpdesk ticket itself, so the reply lands in the same thread as every human reply, with the same tags and the same escalation path.

The models differ too. Zipchat names no AI model on any page frozen for this comparison.

We run several models together, mostly OpenAI, with Google and Anthropic used for the tasks where they do better. Small fast models handle routing and classification, and the larger ones write the customer-facing reply.

Our own AI resolution rate benchmark study covers 195 rated deployments and puts the field median around 70%. That aggregate mixes many vendors' own definitions of resolved, so it places the field without ranking any two products inside it.

What are the different ways I can use an AI agent in Shopify?

Direct replies

This is the default on both. The agent answers the customer itself, in the chat widget on Zipchat's side and inside the helpdesk thread on ours.

On Zipchat, a human can take the conversation over with a "Take Over" button in the top right corner of the conversation, which pauses the AI until you hand it back. We do the same thing through Human Escalation, and we write a summary of the conversation as an internal note so the agent picking it up does not make the customer repeat themselves.

Copilot replies

Our copilot is the AI Copilot Chrome Extension. It works inside any of our integrated helpdesks, drafts replies and does lookups in the agent's normal workflow, and carries no seat charge (on every plan, for everyone on the team).

Zipchat's nearest equivalent is Draft mode. The agent writes the reply and holds it until a person approves it. Zipchat's changelog announces that "Zipchat can now draft replies instead of sending them automatically", giving your team control before any message reaches the customer.

The same release note says "Draft messages count as AI replies". Draft mode bills every message the agent writes, including the ones a human decides not to send.

Internal note replies

This one is ours alone. Most of our customers start here. The AI drafts a reply on every single ticket and writes it as an internal note, and the customer sees nothing.

Your team reads the draft next to whatever the ticket actually needed. After a week or two you know what your resolution rate would have been, before you ever flip it live. It is also the way to run us alongside a tool you already have without turning anything off.

Which is easier to set up, Zipchat or My AskAI?

This one goes to Zipchat. On a Shopify storefront its setup is the one to beat, and setup is the strongest single theme in its reviews: a small-business reviewer on G2 had worked with competing tools before and rated Zipchat's the smoothest they had done.

We take about ten minutes for the standard install, and no developer is needed. You sign up, connect your knowledge, and install our app from your helpdesk's marketplace. Teams switching from an AI agent they already run are usually fully across inside a day.

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Zipchat's own site claims "Native Shopify integration, Shopify Certified, go live in under 5 minutes".

Its integrations FAQ puts a longer number on the same job. It says "Full configuration of brand tone, escalation rules, proactive triggers, and channel pairing typically takes 2 to 4 hours."

Zipchat's five minutes and our ten differ because of what each product has to be pointed at. Zipchat reads a storefront, which it can find on its own. We read your help center, your past tickets and your internal documents, which takes a few extra clicks because nobody else can guess where those live.

How do My AskAI and Zipchat differ in what they can be trained on?

Static content

Zipchat's Add new source modal offers six options: a single page, a multi-page website, a PDF, custom text, a list of links as CSV, and an XML sitemap. Every one of them is a web page or a file you upload. That covers a storefront well, because a storefront is a website.

We read the same things and then keep going into the places support knowledge actually lives: Google Drive, Notion, OneDrive, Dropbox, SharePoint, Confluence and Salesforce, plus Zendesk, Intercom and Freshdesk help centers, including the articles behind a login. Most refund and warranty policy I see sits in a Notion page or a locked help-center article that no site crawler can reach.

Dynamic content

Both sides read live Shopify data, so both can answer "where is my order" with the actual order status. Zipchat also indexes source code from GitHub and GitLab, public or private, into an isolated sandbox, which earns its place if your product is software and half your support answers live in the repository.

Our side of dynamic is Train on Historic Tickets. It reads your last 5,000 historic conversations by default, more on request, and drafts knowledge articles from how your team answered. A store with a thin help center is not starting from nothing.

A G2 review flagged that the agent could not bind to live documents, so product information had to be re-uploaded as PDFs by hand. Zipchat re-scans crawled site pages on a published schedule: weekly on Starter and Growth, daily on Pro, Scale and Enterprise. Nothing in its documentation states a refresh cadence for content uploaded directly as a file, like those PDFs.

Which has better answer quality, Zipchat or My AskAI?

A My AskAI resolution rate and a Zipchat resolution rate are not the same measurement, so setting the two side by side would tell you nothing you could act on.

The figure Zipchat repeats most is 90%+: its homepage and its pricing page both say "Zipchat handles 90%+ of inquiries automatically". The same homepage also leads with "97% resolved without looping your team", and four of its pages carry six different figures between them. A published rate like that is only worth something once you know what it counts, and no vendor in this field, ours included, counts it the same way.

Our own resolution rate benchmark study says the same thing from the other side. The deployments in it are self-selected and each vendor's definition of resolved is its own, so its field median tells you roughly what normal looks like and not what any one vendor will do for you.

Zipchat's dashboard documentation defines its Good Replies metric as "Replies that didn't receive ratings", which it calls "neutral but successful interactions".

An unrated reply is counted as a successful one, which is a generous reading of silence.

On our side, a conversation counts as resolved when the AI handled it without escalating to a human. That definition does not claim the customer's problem was solved. To find out why a particular answer came out the way it did, you ask Echo, the team-side assistant in our dashboard, and it names the knowledge source the agent used.

Both agents answer clean tier-one questions well, and because the two published rates measure different things, neither number separates them.

Which AI agent is easier to improve over time: Zipchat or My AskAI?

I like Zipchat's improvement loop. It is built with care and it runs entirely by hand. When the agent gets something wrong, you open a Create correction box from the conversation, write the reply it should have given, and can set the correction to expire.

There is also a weekly email digest of the questions the agent was least confident about. Somebody has to sit down and do it.

Our self-learning does that comparison for you. Every time a conversation is handed to a human, we read what the AI said and what the agent sent, and draft a new knowledge article out of the difference.

We run that comparison on every handover. Your part is reading the draft article and approving it.

Two G2 reviews sit on this loop. One asked Zipchat to reindex pages periodically so the agent would stop serving obsolete information. Zipchat runs scheduled scans that do exactly that for crawled pages (weekly on Starter and Growth, daily on Pro, Scale and Enterprise), though it publishes no cadence for content uploaded directly as a file.

The other complained that the agent had no memory of the customer: it could not tell a first-time buyer from a loyalty member. Zipchat's changelog has since answered that one. The agent now remembers customers across conversations and builds a persistent profile of who they are and what has happened before.

Which has more features, Zipchat or My AskAI?

Zipchat takes this one. Its release pace on anything that touches a storefront has been faster than ours: Skills with Claude Code integration and a public gallery, add-to-cart from AI search, a Shopify Sidekick integration, an official WooCommerce plugin, a Shopify reviews-app integration, a backend API that can update prompts and skills programmatically, and persistent customer memory.

Zipchat can connect internal MCP servers as a data source, the same way it connects any custom API. MCP is the open standard that lets an AI agent call other systems without a bespoke integration for each one.

Zipchat connects to WhatsApp, Instagram and Messenger directly. We answer those conversations once your helpdesk routes them into the inbox, which Gorgias and Zendesk both do. If you sell through DMs, the question is whether you want that traffic in the storefront widget or in your ticket queue.

What we have instead is the support operations layer:

• Automatic tagging across your existing helpdesk tags, at $0.05 per attribute per ticket. It doubles as a spend control, because you can tag a class of tickets the AI should not answer and pay only for the tag.
• Insights that group every conversation into topics and score all of them for AI CSAT, where most tools sample between 2% and 10%.
• Guidance rules for tone, clarification and forced handovers.
• Tasks and Tools for refunds, cancellations and account updates, defined as procedures in plain English (no decision tree to maintain).

Whether the AI actions a refund itself or flags it for a person is a setup decision you make. Most teams build the Task for order lookups and address changes, then use Handover guidance for anything with money or fraud attached.

Is it easy to customize My AskAI and Zipchat?

Zipchat's Prompt and Tools screen gives you a fixed core prompt you cannot edit, plus free-text boxes for contact information and additional instructions. Those boxes carry a 2,000-character limit, with a note telling you to contact support if you need it raised.

Two thousand characters fills up fast once you start writing out return and warranty policy. Beyond the prompt, Skills (renamed from Tools) let you build reusable behaviors with variables shared across them. There is a public gallery to publish a Skill to, and a backend API can update prompts and skills programmatically.

We split the same job across four surfaces. Guidance covers behavior rules, in three types: communication and style, context and clarification, and handover and escalation.

Custom Answers cover the questions where the wording has to be exact, which is also how teams import their existing helpdesk macros. Tools handle individual API calls, and Tasks handle multi-step procedures that ask the right questions and confirm with the customer before acting.

Normal configuration needs no developer on either side, and custom API work needs one. Zipchat's backend API updates prompts and skills programmatically. Our side keeps more of the configuration as text a support lead can write.

What about vendor lock-in?

Zipchat integrates with exactly one helpdesk. Its integrations page FAQ says "It runs as an AI agent inside Zendesk, and connects to GitHub and GitLab for code-aware support."

That page's Helpdesk tools section lists Zendesk and nothing else. It is the only helpdesk Zipchat runs inside as an AI agent, and the Zendesk setup guide is the only helpdesk guide Zipchat publishes.

If you run Gorgias, the helpdesk built around Shopify stores, Zipchat sits beside it as a second inbox to watch.

We install into Zendesk, Intercom, Freshdesk, Gorgias or HubSpot. You keep your agents, macros, tags and routing rules, so adopting us is an install.

Most customers run us in one helpdesk at a time. The value shows up when you change helpdesk later, because the trained agent, the custom answers, the guidance and the tasks all come with you.

Switching from Zipchat: what carries over, what gets rebuilt

What carries over is your knowledge, mostly. Both products index the same storefront, the same PDFs and the same sitemap, so pointing us at what you already pointed Zipchat at is a ten-minute job.

You connect Shopify again on our side, over the same products, orders and customers. Your tone of voice and escalation rules are written in plain English on both sides, so they transfer as text you can paste across.

What gets rebuilt is your Skills. A Zipchat Skill and a My AskAI Task are both natural-language procedures, but there is no export path between them, so each one gets written again.

Budget an hour per workflow you use. Your corrections history does not transfer either, though our historic-ticket training reads the conversations underneath it and drafts knowledge from those.

What breaks is anything storefront-specific. Proactive chat triggers, add-to-cart from search and the revenue attribution reporting are Zipchat's own. Your WhatsApp, Instagram and Messenger conversations keep working through your helpdesk if it routes them there.

If those are pulling their weight on your store, keep them. Run us in the helpdesk for post-purchase tickets and leave Zipchat on the storefront doing what it does well.

Our trial runs 30 days and takes no card, so you can run us alongside Zipchat for a month before anyone signs anything.

Does Zipchat or My AskAI have any other AI features?

Tagging

We tag every incoming ticket automatically, across your existing helpdesk custom fields, inside Zendesk, Intercom, Freshdesk and Freshchat. It works off the tags you already have. Each one gets expanded into a full written definition you can review and edit, and classification runs against those definitions by meaning, so a reworded ticket still lands in the right place.

Each tag also carries a reply setting, so you can decide that tickets under a given tag go straight to a human. No ticket-tagging feature appears anywhere in Zipchat's documentation.

Agent translation

We support 95 languages, detected per message, and the agent replies in the customer's language by default. Live Translation goes a step further for Intercom teams: it translates the incoming conversation into your agent's language as an inline note, then translates the agent's reply back on send.

That solves the moment a human takes over a conversation they cannot read. Zipchat also states 95+ languages on its widget, so on raw language coverage the two are level.

Help center quick answers

Zipchat's well-built AI Search is the counterpart here. It answers product questions from the storefront search bar and can add the product to the cart from the result. Our version answers from your help center inside the ticket, and Custom Answers let you pin exact wording for the questions where you cannot afford a paraphrase.

Sentiment and CSAT prediction

Our Insights scores all of your conversations for AI CSAT, groups them into topics, and emails you when a new topic appears across three or more conversations. Zipchat has added conversation sentiment to its conversations view and to the rebuilt dashboard.

Sentiment and CSAT are not the same measurement. Across both of Zipchat's dashboard surfaces, its own documentation and its own release notes, there is no CSAT score, no first-response-time metric, no resolution rate and no deflection rate named. I would want a resolution rate on that screen before I signed anything.

The rebuilt dashboard does add a support-staff savings tile, described as showing "how much it would've cost to handle your conversations with a human agent, using a $4 per conversation default that you can adjust to your own numbers". Alongside it sit revenue attribution, a working-hours breakdown and a vendor-computed value figure.

What about security, is Zipchat more secure than My AskAI?

Security here means what each vendor publishes about it. A vendor can hold a control it has never written about.

We hold SOC 2 Type II and we are GDPR compliant. Data is encrypted with AES-256 at rest and TLS in transit, sits in isolated containers per customer, and is never used for model training or anything beyond serving that customer's own tickets.

The SOC 2 report is available to customers on request.

Zipchat's security answers live inside its integrations FAQ. It says "Customer data is encrypted in transit and at rest. EU and US data residency are both available on request." It adds that "PII redaction, audit logs, and SSO are available on Enterprise plans." (PII being personal information like a customer's name, email address or order details).

The same page badges the product as GDPR and AI Act compliant, and the agent defaults to labeling itself as AI to meet the EU AI Act.

Zipchat publishes no SOC 2 report, no ISO 27001 certificate and no trust portal, and SAML and SCIM appear nowhere on its site. Its documentation carries no security, trust or compliance page at all.

If your procurement process asks for an independent auditor's report, that is the gap to raise on the call. We answer that one with the SOC 2 Type II report.

Which costs more, Zipchat or My AskAI?

The pricing model

Zipchat sells reply bundles. The pricing page starts at $49 a month for 500 AI replies and climbs through $129, $249 and $499 to an unlimited tier from $999.

When you run out, "Extra reply packages are available at $49 for 250 additional replies", which is about $0.196 a reply, roughly double the rate you pay inside the entry plan. Every plan comes with a 7-day free trial and asks for a card.

We bill per ticket. Pro is $199 a month with 1,000 credits included, Scale is $499 with 2,000 credits, and Enterprise starts at $999 with everything metered.

On helpdesk chat, two AI replies make one credit, so a typical chat ticket lands around $0.10. Email tickets run closer to $0.15, because the first reply is a full credit.

Two figures on our own pricing get confused. The headline rate is about $0.10 a ticket, the Scale and Enterprise credit rate.

The Pro plan's rate for tickets beyond its included 1,000 is $0.12. They are different lines on different plans, and neither is an average of the other.

The structural difference is what happens as the agent improves. We bill when the AI does the work, so your bill stays flat as your resolution rate climbs, while per-resolution models charge you more as the AI gets better at its job.

Before any of this, there is a 30-day free trial on our side with every feature unlocked, unlimited tickets and no card required. Run your own volume through it and you will have your number.

The overall cost

Assume two AI replies per conversation, which is our own billing assumption for chat, and take the cheapest plan on each side that covers the volume.

At 250 tickets a month it is $49 on their side against $199 on ours, and no amount of feature argument closes that for a store that size.

The two lines cross just over 1,500 tickets a month. That is where 3,000 AI replies tips a store past Zipchat's $249 plan, onto either a $49 reply pack or its $499 tier, while our bill climbs $0.12 at a time. Past the cross the gap opens in our favor and keeps opening, because our marginal rate falls to $0.10 while Zipchat's overage runs at about twice its own plan rate.

Two things push the crossover lower. Draft mode messages count as billable AI replies on Zipchat, so a cautious rollout costs full price. A support queue also runs past two replies per conversation more often than a pre-sales chat.

For the full Zipchat plan ladder, our complete guide to Zipchat lays out every tier.

Conclusion - should I choose Zipchat or My AskAI?

If shoppers leave the product page without buying, Zipchat is the better tool and I will say so on a call. Post-purchase tickets piling up in Gorgias or Zendesk is the job we were built for, and Zipchat only reaches into one of those two helpdesks.

The 11 categories are modes, ease of setup, training and integrations, answer quality, improving, features, price, customization, lock-in, other AI features and security. Evidence comes from Zipchat's own documentation, pricing page, integrations FAQ and changelog, from My AskAI's own product documentation and pricing, and from G2 reviews of both products. Where neither vendor publishes a figure, the row is scored on what is documented.

We win 6 of the 11 categories, Zipchat wins 2, and 3 are tied. The two Zipchat wins are the two a merchant feels first: it is quicker to a live reply, and new storefront features arrive faster than ours.

Answer quality cannot be scored when neither side's number is defined, price flips direction depending on your volume, and customization comes out level because each side hands you a different half of the same job.

Plenty of merchants run both: Zipchat on the storefront for the sale, My AskAI in the helpdesk for everything after it. Our Internal Notes mode drafts on every ticket without sending anything, so you can watch what a support-side agent would have done for a couple of weeks before deciding.

If your helpdesk is Gorgias, the closer comparison is our head-to-head with Gorgias's own AI Automate agent, which covers the native option you are already paying for.

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