Gladly and Kustomer start from the same premise, and it is the one that normally separates a customer-service platform from its competitors: support is organized around a person, not a ticket. Every email, chat, SMS, WhatsApp message, and phone call lands on one continuous thread per customer, so nobody reconstructs context out of six ticket IDs. Because both sides already agree on the thing that would be the differentiator, a feature list will not route this decision.
What routes it in 2026 is a question neither vendor was answering a year ago: do you have to replace your helpdesk to get the AI? On 10 March 2026 Kustomer shipped Kustomer AI as a standalone platform that installs on top of a helpdesk you already run — Zendesk first, with Salesforce and further integrations announced to follow, and AI for Reps plus Data Explorer added in mid-April. Gladly moved along a narrower edge: on 25 March 2026 it shipped a Gorgias integration giving end-to-end AI resolution on chat and email. Both have partly decoupled the agent from the platform, but toward opposite ends of the market — Kustomer toward the enterprise incumbent, Gladly toward the Shopify-native merchant.
One naming note before the numbers, because 2025 sources will not match what you see in the product: in March 2026 Gladly renamed Sidekick (the AI) to just Gladly, and Gladly Hero (the platform) to Gladly Team.
Where Gladly wins
Voice is native, and the AI finishes the transaction. Sidekick on Voice shipped in March 2025 and does not answer a question and route to a queue — it processes the refund, changes the reservation, and carries the same lifelong thread the chat agent sees. Gladly’s published customer outcomes are 76% of conversations fully resolved by AI, a 65% CSAT improvement, 2.2× revenue per conversation, and a 3× increase in first-30-day resolution rate. Those are vendor-reported from favorable deployments, so treat them as a ceiling rather than a forecast — but the voice capability underneath them is genuinely ahead of chat-first competitors, Kustomer included.
The consumer-brand reference class is the right one for high-LTV retail. Nordstrom, Warby Parker, and Crate & Barrel are on the customer list, and the product follows that gravity: apparel, beauty, travel, hospitality. If your support org is measured on revenue per conversation and retention rather than cost per ticket, Gladly is instrumented to be judged that way, and the lifelong thread is the mechanism rather than a convenience.
There is a self-serve on-ramp, through Shopify. Gladly’s Shopify listing publishes what its own pricing page does not: 30 days free with 100 AI interactions and one seat, then a $250-per-month spend cap, $1.50 per AI resolution, $0.25 per AI assist, and $120 per team member per month. That is a real path to testing an AI agent on live traffic without a procurement cycle. Kustomer has no equivalent at any price.
Where Kustomer wins
You do not have to migrate to buy the AI. This is the largest single difference between them. Kustomer AI activates as an intelligence layer inside an existing Zendesk instance while preserving data, workflows, and reporting structures; CEO Brad Birnbaum’s framing is that adopting AI should not require overhauling the CX system underneath it. Early customer Aplazo reported the AI handling up to 65% of routine inquiries during peak periods within the first quarter. For a support org that has already survived one platform migration, buying the agent without buying a new system of record outweighs anything on either feature list.
The per-unit meters are published; Gladly’s are not. Kustomer’s pricing-detail page carries actual rates: $0.60 per engaged conversation for AI Agents for Customers, $40 per user per month for AI Agents for Reps, Kustomer Voice from $0.02 per minute, outbound messages at $0.025 each, WhatsApp at Meta’s per-template fee plus a 20% surcharge, and data-storage overage at $50 per GB per month. You can build a bill out of that before you talk to anyone. Above the Shopify plan, Gladly gives you nothing to model until a quote arrives.
It reaches past consumer retail. Kustomer sells a HIPAA-enabled subscription as an add-on and positions explicitly around compliance-driven workflows, and its AI Agent Studio lets teams set routing rules, tone guidelines, and knowledge sources across SMS, email, chat, WhatsApp, and voice. Gladly is a consumer support engine and does not pretend otherwise. If your contact mix includes regulated workflows, that is a hard filter, not a preference.
Pricing reality
Both vendors have pulled seat pricing off their own pages, so anyone quoting you a rate card is quoting history. Kustomer’s pricing page now says it does not post one-size-fits-all pricing and routes to an ROI calculator; its detail page lists Enterprise and Ultimate as usage-based and marks the seat-based Professional and Business plans as legacy. Gladly’s pricing page publishes no figures at all.
The numbers still worth carrying into a negotiation, marked for what they are:
Gladly, estimate: approx. $180 per agent per month at a 10-agent annual minimum, approx. $210 at a 45-agent minimum. These come from third-party trackers, not a vendor rate card.
Kustomer, legacy published:$89 per seat per month (Enterprise) and $139 (Ultimate), annual, 8-seat minimum. Still repeated across 2026 buying guides, no longer on the vendor’s own page.
At the entry end that is roughly a 2× per-seat gap. Gladly’s estimated 10-seat floor lands near $21,600 a year in seats before any usage; Kustomer’s legacy 8-seat Enterprise minimum is about $8,500. The AI usage line is closer to a wash — Kustomer meters engaged conversations at $0.60 and Gladly’s legacy Sidekick add-on was reported at roughly the same rate. So the seat line, not the AI line, is where the money is, which means agent headcount is the variable that decides this on price, not conversation volume. On both sides, plan for a usage line well above the per-seat headline once voice minutes, SMS, and per-conversation AI are added; third-party estimates put that at 30-50% on Gladly deployments.
The cost of getting evidence is asymmetric. About $250 buys roughly 166 AI resolutions on Gladly’s Shopify plan this month. Kustomer’s cheapest test is a sales cycle.
Implementation effort
These are not the same size of project, and that gap is most of the argument. Kustomer AI on an existing Zendesk instance is a configuration project — knowledge sources, routing rules, tone, escalation policy — with the system of record untouched. The full Kustomer platform, or Gladly in any deployment other than Gorgias or Shopify, is a helpdesk migration: history, macros, routing, reporting, and agent retraining.
Whichever you pick, the guards are the same. Scope one channel first — voice for Gladly, your highest-volume text channel for Kustomer — and set a containment and CSAT baseline against current tooling before the agent goes live, so the lift is measured rather than asserted. Put hard limits on irreversible actions: cap AI-issued refunds at a threshold and require human review above it. Log every agent-executed transaction for reconciliation from day one. And model the bill on your real contact mix rather than your seat count, because on both sides the metered lines move more than the license does.
Verdict
Pick Gladly when you are a consumer brand whose customers phone you and the AI has to complete the refund or the reservation change on that call rather than route it; when LTV per customer justifies a per-agent price roughly double the alternative; when revenue per conversation is a metric your support org is actually measured on; or when you sell on Shopify and want a usage-based on-ramp you can start this week. It is the voice-first, high-LTV-retail, revenue-framed pick.
Pick Kustomer when you already run Zendesk and want the agent without the migration; when you need to model per-unit cost before signing instead of after; when your contact mix includes compliance-driven or HIPAA-scoped workflows; or when you run 8 to 30 agents, where a 2× seat delta compounds faster than any feature gap closes. It is the no-migration, measurable-cost, broader-workflow pick.
If you cannot decide between those conditions, default to Kustomer AI on the helpdesk you already run. It is the reversible option: you learn what an AI agent does to your real contact mix without surrendering your system of record to find out, and because the meters are published the bill is a spreadsheet rather than a surprise. One condition overrides this — if you sell on Shopify, Gladly’s usage-based listing is the cheaper experiment and you should run that instead. Move to Gladly’s full platform when voice becomes the channel the decision turns on, or when the lifelong-thread data model turns out to be the thing you were buying all along.
Pick neither when your motion is B2B SaaS retention rather than consumer support. Health scores, renewals, and NRR belong in ChurnZero, Vitally, or Planhat, and either of these will be an expensive category mismatch. If what you want is an AI agent that runs on top of any helpdesk with published per-outcome pricing and no platform commitment at all, the decision you actually have in front of you is Decagon vs Fin. And under 8 agents doing mostly email and chat on Shopify, Gorgias stays cheaper than either side of this page.
Gladly and Kustomer start from the same premise, and it is the one that normally separates a customer-service platform from its competitors: support is organized around a person, not a ticket. Every email, chat, SMS, WhatsApp message, and phone call lands on one continuous thread per customer, so nobody reconstructs context out of six ticket IDs. Because both sides already agree on the thing that would be the differentiator, a feature list will not route this decision.
What routes it in 2026 is a question neither vendor was answering a year ago: do you have to replace your helpdesk to get the AI? On 10 March 2026 Kustomer shipped Kustomer AI as a standalone platform that installs on top of a helpdesk you already run — Zendesk first, with Salesforce and further integrations announced to follow, and AI for Reps plus Data Explorer added in mid-April. Gladly moved along a narrower edge: on 25 March 2026 it shipped a Gorgias integration giving end-to-end AI resolution on chat and email. Both have partly decoupled the agent from the platform, but toward opposite ends of the market — Kustomer toward the enterprise incumbent, Gladly toward the Shopify-native merchant.
One naming note before the numbers, because 2025 sources will not match what you see in the product: in March 2026 Gladly renamed Sidekick (the AI) to just Gladly, and Gladly Hero (the platform) to Gladly Team.
Where Gladly wins
Voice is native, and the AI finishes the transaction. Sidekick on Voice shipped in March 2025 and does not answer a question and route to a queue — it processes the refund, changes the reservation, and carries the same lifelong thread the chat agent sees. Gladly’s published customer outcomes are 76% of conversations fully resolved by AI, a 65% CSAT improvement, 2.2× revenue per conversation, and a 3× increase in first-30-day resolution rate. Those are vendor-reported from favorable deployments, so treat them as a ceiling rather than a forecast — but the voice capability underneath them is genuinely ahead of chat-first competitors, Kustomer included.
The consumer-brand reference class is the right one for high-LTV retail. Nordstrom, Warby Parker, and Crate & Barrel are on the customer list, and the product follows that gravity: apparel, beauty, travel, hospitality. If your support org is measured on revenue per conversation and retention rather than cost per ticket, Gladly is instrumented to be judged that way, and the lifelong thread is the mechanism rather than a convenience.
There is a self-serve on-ramp, through Shopify. Gladly’s Shopify listing publishes what its own pricing page does not: 30 days free with 100 AI interactions and one seat, then a $250-per-month spend cap, $1.50 per AI resolution, $0.25 per AI assist, and $120 per team member per month. That is a real path to testing an AI agent on live traffic without a procurement cycle. Kustomer has no equivalent at any price.
Where Kustomer wins
You do not have to migrate to buy the AI. This is the largest single difference between them. Kustomer AI activates as an intelligence layer inside an existing Zendesk instance while preserving data, workflows, and reporting structures; CEO Brad Birnbaum’s framing is that adopting AI should not require overhauling the CX system underneath it. Early customer Aplazo reported the AI handling up to 65% of routine inquiries during peak periods within the first quarter. For a support org that has already survived one platform migration, buying the agent without buying a new system of record outweighs anything on either feature list.
The per-unit meters are published; Gladly’s are not. Kustomer’s pricing-detail page carries actual rates: $0.60 per engaged conversation for AI Agents for Customers, $40 per user per month for AI Agents for Reps, Kustomer Voice from $0.02 per minute, outbound messages at $0.025 each, WhatsApp at Meta’s per-template fee plus a 20% surcharge, and data-storage overage at $50 per GB per month. You can build a bill out of that before you talk to anyone. Above the Shopify plan, Gladly gives you nothing to model until a quote arrives.
It reaches past consumer retail. Kustomer sells a HIPAA-enabled subscription as an add-on and positions explicitly around compliance-driven workflows, and its AI Agent Studio lets teams set routing rules, tone guidelines, and knowledge sources across SMS, email, chat, WhatsApp, and voice. Gladly is a consumer support engine and does not pretend otherwise. If your contact mix includes regulated workflows, that is a hard filter, not a preference.
Pricing reality
Both vendors have pulled seat pricing off their own pages, so anyone quoting you a rate card is quoting history. Kustomer’s pricing page now says it does not post one-size-fits-all pricing and routes to an ROI calculator; its detail page lists Enterprise and Ultimate as usage-based and marks the seat-based Professional and Business plans as legacy. Gladly’s pricing page publishes no figures at all.
The numbers still worth carrying into a negotiation, marked for what they are:
At the entry end that is roughly a 2× per-seat gap. Gladly’s estimated 10-seat floor lands near $21,600 a year in seats before any usage; Kustomer’s legacy 8-seat Enterprise minimum is about $8,500. The AI usage line is closer to a wash — Kustomer meters engaged conversations at $0.60 and Gladly’s legacy Sidekick add-on was reported at roughly the same rate. So the seat line, not the AI line, is where the money is, which means agent headcount is the variable that decides this on price, not conversation volume. On both sides, plan for a usage line well above the per-seat headline once voice minutes, SMS, and per-conversation AI are added; third-party estimates put that at 30-50% on Gladly deployments.
The cost of getting evidence is asymmetric. About $250 buys roughly 166 AI resolutions on Gladly’s Shopify plan this month. Kustomer’s cheapest test is a sales cycle.
Implementation effort
These are not the same size of project, and that gap is most of the argument. Kustomer AI on an existing Zendesk instance is a configuration project — knowledge sources, routing rules, tone, escalation policy — with the system of record untouched. The full Kustomer platform, or Gladly in any deployment other than Gorgias or Shopify, is a helpdesk migration: history, macros, routing, reporting, and agent retraining.
Whichever you pick, the guards are the same. Scope one channel first — voice for Gladly, your highest-volume text channel for Kustomer — and set a containment and CSAT baseline against current tooling before the agent goes live, so the lift is measured rather than asserted. Put hard limits on irreversible actions: cap AI-issued refunds at a threshold and require human review above it. Log every agent-executed transaction for reconciliation from day one. And model the bill on your real contact mix rather than your seat count, because on both sides the metered lines move more than the license does.
Verdict
Pick Gladly when you are a consumer brand whose customers phone you and the AI has to complete the refund or the reservation change on that call rather than route it; when LTV per customer justifies a per-agent price roughly double the alternative; when revenue per conversation is a metric your support org is actually measured on; or when you sell on Shopify and want a usage-based on-ramp you can start this week. It is the voice-first, high-LTV-retail, revenue-framed pick.
Pick Kustomer when you already run Zendesk and want the agent without the migration; when you need to model per-unit cost before signing instead of after; when your contact mix includes compliance-driven or HIPAA-scoped workflows; or when you run 8 to 30 agents, where a 2× seat delta compounds faster than any feature gap closes. It is the no-migration, measurable-cost, broader-workflow pick.
If you cannot decide between those conditions, default to Kustomer AI on the helpdesk you already run. It is the reversible option: you learn what an AI agent does to your real contact mix without surrendering your system of record to find out, and because the meters are published the bill is a spreadsheet rather than a surprise. One condition overrides this — if you sell on Shopify, Gladly’s usage-based listing is the cheaper experiment and you should run that instead. Move to Gladly’s full platform when voice becomes the channel the decision turns on, or when the lifelong-thread data model turns out to be the thing you were buying all along.
Pick neither when your motion is B2B SaaS retention rather than consumer support. Health scores, renewals, and NRR belong in ChurnZero, Vitally, or Planhat, and either of these will be an expensive category mismatch. If what you want is an AI agent that runs on top of any helpdesk with published per-outcome pricing and no platform commitment at all, the decision you actually have in front of you is Decagon vs Fin. And under 8 agents doing mostly email and chat on Shopify, Gorgias stays cheaper than either side of this page.