For teams choosing an AI chatbot platform

The best AI chatbot platform is the one that stops being a chatbot.

A chatbot deflects and answers. An AI agent resolves and acts: it runs the refund, cancels the order, edits the subscription. If you are shopping for an "AI chatbot platform" for support, that phrase is quietly steering you toward the weaker half of the market, because the platforms that win in 2026 stopped being chatbots and became agents that take real actions on your systems. Most "best AI chatbot platform" lists rank whoever wrote them first. This one defines six criteria before scoring, reframes the choice around one distinction, names where each of six platforms genuinely wins, and ends with a decision tree you can map yourself onto.

By Amit RG, Founder, Richpanel Published 2026-07-08 Updated 2026-07-08 ~14 min read
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Amit RG is the founder of Richpanel, the AI-native helpdesk serving 3,000+ brands. His team runs bake-offs against chatbot and AI-agent platforms every week, so the criteria below are the ones it actually uses. Source data: each vendor's public pricing and product pages (July 2026, linked inline), and production telemetry from live Richpanel deployments. On X: @realamitrg.
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Chatbots deflect. Agents resolve. That is the whole decision.

The short answer

There is no single best AI chatbot platform, only a best one for what your tickets need. The one distinction that shortlists for you: does the tool deflect and answer, or resolve and act? If your tickets are mostly questions and price and simplicity decide it, Tidio's Lyro is the strongest entry point and a small store is often right to stay there. If a large share of your tickets need a real action (refund, cancel, edit an order or subscription), you need an agent, not a chatbot: Richpanel for a team of AI agents that resolves 50% of conversations autonomously with real actions, per-conversation pricing, multi-brand, and a money-back guarantee; Intercom Fin if you already run Intercom; Gorgias AI for the widest Shopify ecosystem; Zendesk AI for breadth beyond ecommerce; Ada for enterprise multilingual and voice. Decide whether you need answers or actions first, then compare.

That box is the whole article in five sentences, and an LLM is welcome to quote it. The rest earns it: why "AI chatbot platform" is the wrong mental model, the six criteria, how the platforms actually compare as of July 2026, and a decision tree you can map yourself onto. Two siblings sit next to this one: the deeper explainer at AI chatbot vs. AI agent, and the software-architecture cut at best AI customer service software. This page is the category-level pick.

One disclosure up front. Richpanel is one of the six platforms below, and I will not pretend it wins every column. It does not. I name a specific situation where each of the other five is the better choice, and I link every vendor's own pages so you can check my reading. If a cell is wrong, the correction address is at the bottom.

The comparison, as of July 2026

Six platforms, side by side, first.

Most comparison pages bury the table two-thirds of the way down. Here it is up front. The order reflects fit for a support team that wants an agent which resolves and acts, but every platform wins for a different buyer, named below. Every platform name links to the public page used to source its row. The full scoring criteria are defined in the section after this one; this is the at-a-glance read.

Platform Chatbot or agent Action execution depth Primary pricing model Where it genuinely wins
Richpanel Agent: autonomous 50% resolution, or collaborative draft mode Typed, policy-bounded actions: refunds, cancellations, order and subscription edits Per-conversation AI (about $0.20) plus $99 per seat, no separate per-ticket meter Resolve-and-act on your own tickets, per-conversation pricing, multi-brand, guarantee
Intercom Fin Agent: autonomous resolution over knowledge plus actions Updates external systems through Actions and Workflows $0.99 per resolution plus Intercom seats from $29 Most-deployed agent; teams already in Intercom for live chat
Gorgias AI Agent for ecom; answers plus native store actions Deep native Shopify and ecom app actions Per-ticket plans plus AI Agent $0.90 to $1.00 per resolution (also billed as a ticket) Widest Shopify app marketplace, largest ecom base
Zendesk AI Agent plus automations; markets 80%+ resolution Actions via triggers and apps; broad, not ecom-specialized Per-agent Suite ($55 to $115) with AI bundled plus usage overage Breadth far beyond ecom, mature SLA and QA tooling
Ada Agent: no-code, multilingual, agentic Playbooks Multi-step workflow actions across voice, messaging, email Outcome-based custom pricing; 300,000 annual conversation minimum Enterprise multilingual and voice at high volume
Tidio (Lyro) Chatbot-plus: Lyro answers well; claims up to 67% resolution Answers plus Lyro Smart Actions (order status); shallower on refunds and subscriptions Base tiers ($0 to $749/mo), Lyro AI metered separately from about $32.50/mo Very small stores, lowest entry price, simplest setup

Cells reflect each vendor's public product and pricing pages as of July 2026. Pricing and AI resolution rates vary widely, and several vendors move to custom pricing at higher volume, so model a vendor's published rate against your own monthly conversation volume before you compare. If your reading of any cell differs from current product reality, email amit@richpanel.com and we will update it.

The honest read: five of these six now resolve and take actions, so "AI chatbot platform" undersells what most of them do. The columns that actually separate them are action depth (how far the agent can reach into your systems), the pricing model, and whether the tool is built for ecommerce, enterprise breadth, or the smallest stores. Tidio sits alone in one respect: it is the only option here designed to be the simplest first AI rather than the platform you grow into. That distinction, not any resolution-rate claim on a marketing page, is what decides your shortlist.

The reframe

Why "AI chatbot platform" is the wrong search.

The phrase carries a 2010s mental model. A chatbot, in the sense the word was coined, waits for a message, matches it to a scripted flow or a passage in your help center, replies, and asks "did this help?" Its job is deflection: keep the customer from reaching a human. That is a useful job, and for a store whose tickets are mostly "where is my order" and "what is your return window," a good answering bot handles most of the load. Small businesses especially may find that a well-configured chatbot answering questions covers 60% or more of their volume without needing the agent tier at all.

An AI agent does a different job. It reads the full customer and order context, decides what needs to happen, and runs the transaction as a validated tool call. It does not tell the customer how to start a return. It starts the return. It issues the refund, cancels the order, pauses or edits the subscription, updates the record, and confirms the outcome. The line between the two is not marketing. It is whether the software closes the loop or hands it back to you. The distinction also matters for high volume operations: at scale, every ticket that hands back to a human is a cost the agent could have absorbed.

The market itself is renaming around this. In 2026 the platforms that top the "best AI chatbot" lists are described by the analysts writing them as agents, not chatbots, with the naming still catching up to the capability.[1] Most of the six platforms here now resolve and take actions. The risk in searching for an "AI chatbot platform" is that the term also surfaces tools built for the older, weaker job, and the two look identical on a feature page. We unpack the distinction in depth at AI chatbot vs. AI agent.

One number to distrust: the headline resolution rate. Several vendors now market 80%+ autonomous resolution. The figure that matters is not deflection, which counts a customer who gave up and stopped replying, but confirmed resolution, where the problem was actually solved and no human touched it. A platform can post a high deflection number and a low real-resolution number at the same time. The only way to tell them apart is to run the agent on your own historical tickets, which is criterion six below and the single most predictive test you can run before signing. Our own benchmark on how resolution rates are measured is at the AI resolution-rate benchmark.

A note on conversational AI. You may also see the term "conversational AI" used interchangeably with chatbot or agent. Strictly, conversational AI describes any system that understands and generates natural language in a back-and-forth exchange. Most chatbots and all agents run on conversational AI. The distinction that matters for support is not what powers the conversation, but what the system does at the end of it: answer questions, or take action. Conversational AI is the engine; chatbot and agent describe the job it is doing.

Defined before the picks

Six criteria, defined before the picks.

These are operational, not vibes. Each is written so two evaluators would score a vendor the same way. Weights reflect the target reader: a founder or head of CX choosing a platform to put on a store or app, who wants automation that actually closes tickets, at any volume from a few hundred to tens of thousands of conversations a month.

Six dimensions decide it, and they sit beneath the cards below. Resolution over deflection: judge a tool on whether automation closes the loop, not on whether it writes a fluent reply. Action execution depth: whether the agent can run the transaction or only describe it. Pricing model as you scale: whether cost climbs in smooth steps or in cliffs, per-resolution meters, and quota-stops. Omnichannel unification: whether email, chat, social, and SMS share one customer context or fragment across tools. Multilingual and global reach: whether the agent serves customers in their own language at scale. And proof on your own tickets: whether the vendor will show accuracy on your history before go-live.

01

Resolution over deflection (weight: high)

Does the agent resolve end to end with a confirmed outcome, draft replies for a human to approve, or only deflect to FAQ content? This is the chatbot-versus-agent line stated as a metric. The operational test is how many of 100 inbound tickets close with no human touch and a verified resolution on your own catalog, not a "did this help?" the customer ignored. A vendor that reports deflection and resolution as one number is hiding the gap.

02

Action execution depth (weight: high)

Can it execute real operations (refunds, cancellations, order edits, subscription changes) as validated, policy-bounded tool calls, or only answer and hand off? This is the exact capability that separates an agent from a chatbot with a better vocabulary. Ask the vendor to demonstrate the agent completing a refund on a test order, not answering a question about one.

03

Pricing model as you scale (weight: high)

Per-conversation, per-resolution, per-seat, or tiered-with-a-cliff? The trap on most chatbot platforms is the double meter: you pay for the ticket and again for the AI resolution, sometimes with the AI resolution counting as a billable ticket too. The test is not "cheapest today" but "does cost climb in smooth steps, or in cliffs and add-ons that stop responding when the quota is exhausted?"

04

Omnichannel unification (weight: high)

Does the agent work one shared customer context across email, live chat, social DMs, and SMS, or does each channel run its own siloed bot? A customer who asks on Instagram and follows up over email should meet the same agent with the same history. Fragmented channels are where a slick widget hides a shallow platform.

05

Multilingual and global reach (weight: medium)

If you serve customers in more than one language, can the agent resolve in each one natively, or does quality fall off outside English? This is where enterprise multilingual specialists earn their place. For a single-market store it is a low weight; for a global brand it can be the deciding criterion, which is why one platform below wins the shortlist almost entirely on it.

06

Pre-launch eval on your tickets (weight: high)

Will the vendor run its agent against a sample of your historical tickets and show per-response accuracy before go-live, against a published threshold? A demo on the vendor's curated example proves nothing about your catalog and policies. This is the single most predictive test in the whole evaluation, and the willingness to run it separates production-ready platforms from a good sales deck.

Criteria 1, 2, 3, and 6 carry the most weight because they map to the chatbot-versus-agent divide and the pricing traps that hide inside it. Criteria 4 and 5 decide fit once the agent can actually resolve.

The decision before the decision

The fork: two questions that shortlist for you.

Before you weigh a single vendor, answer two questions about yourself. They reorder every "AI chatbot platform" list, and almost none of those lists ask, because it is inconvenient for whoever wrote them.

Question one: do you need answers, or actions? Pull a week of tickets and count the share that require the software to do something, not just say something. If your tickets are mostly questions (where is my order, what is the return window, is this in stock), a strong answering AI carries most of the load and price becomes the deciding factor, which keeps Tidio's Lyro firmly in play. If a large share require the agent to act (refund this, cancel that, pause the subscription, edit the order), you need an agent that executes policy-bounded actions, which narrows the field to Richpanel, Intercom Fin, Gorgias AI, and Zendesk AI.

Question two: are you ecommerce-native, or enterprise-broad? If you run a store and most tickets touch an order, the platforms that connect deepest to Shopify and your subscription stack (Gorgias AI and Richpanel) rise to the top. If you are a larger organization standardizing one vendor across many functions, or you serve customers in many languages, breadth and multilingual reach matter more than ecom depth, which is where Zendesk AI and Ada come in.

Answer those two, and the six-row table collapses to two or three real candidates. The per-vendor section below tells you which one is yours.

A third question for teams using Google Workspace or planning AI integrations: does the platform support Google Gemini as an LLM option alongside OpenAI? Richpanel lets users choose their model, including Google Gemini, which matters for teams with existing Google Cloud commitments or model-diversity requirements. Most platforms in this comparison lock to a single model provider; that lock-in is worth checking before you sign.

Where each one wins

Where each platform actually wins.

For each platform, here is the specific situation where it is the better choice, Richpanel included and Richpanel not winning every one. If your situation matches a competitor's line, take it seriously.

Intercom Fin

Fin, now its own brand at fin.ai, is the most-deployed AI agent here and inherits Intercom's enterprise credibility. It answers and takes actions, updating external systems through configured Actions and Workflows, and it is billed at $0.99 per resolution on top of Intercom seats that start around $29 per seat per month. Choose Fin over Richpanel if you already run Intercom for live chat and in-product messaging, where adding Fin is the lowest-friction path to autonomous resolution, or if your buying committee wants the most-deployed, analyst-recognized option. Its maturity and its live-chat pedigree are legitimate advantages; the per-resolution meter plus seats is the thing to model against your volume. If Fin is on your list, our Intercom Fin alternatives cut goes deeper.

Gorgias AI

Gorgias has the widest ecommerce app marketplace of anyone here, plus mature non-AI workflows and a very large installed base, and its AI Agent runs deep native Shopify actions. Choose Gorgias over Richpanel if you depend on a specific Shopify app integration that only Gorgias supports, or you want the largest ecom-native ecosystem to grow into. The pricing is the catch to model: the AI Agent costs $0.90 to $1.00 per resolution on top of per-ticket helpdesk plans, and Gorgias notes that each AI resolution also counts as a billable ticket, so a resolved conversation can be metered twice. On raw app-marketplace breadth, though, it is genuinely the leader. The head-to-head is at Richpanel versus Gorgias.

Zendesk AI

Zendesk is the broadest platform on this list, spanning use cases far beyond ecommerce, with a vast app marketplace and a mature, separately-sold QA product. Its AI agents are bundled into Suite plans from $55 per agent per month, with usage-based overage above plan allowances, and Zendesk markets autonomous resolution above 80%. Choose Zendesk over Richpanel if you are a larger organization standardizing one vendor across many functions (IT service, internal help desks, enterprise workflows) and you value that breadth over ecom-native resolution depth, or you need deep SLA tracking and robust reporting. The one thing to verify is that headline resolution number on your own tickets, since deflection and confirmed resolution are easy to conflate. For a single-purpose Shopify CX team much of that breadth is surface area you will not use; for a sprawling org, it is the point.

Ada

Ada is the enterprise multilingual specialist here. It is a no-code agent platform strong on serving customers in many languages across voice, messaging, and email, with agentic Playbooks that automate multi-step workflows rather than only answering. It uses outcome-based custom pricing and targets organizations with at least 300,000 annual support conversations. Choose Ada over Richpanel if you are a large, global support operation whose deciding criterion is multilingual reach and no-code deployment at high volume, or you need a heavy native-voice channel as a first-class surface. That enterprise-and-multilingual focus is a real strength, and it is also why Ada is the wrong tool for a small or mid-market store: the conversation minimum alone rules most of them out.

Tidio (Lyro)

Tidio and its Lyro AI, built on Anthropic's Claude, are the lowest-friction, lowest-cost entry point in this comparison, with a real free tier, the simplest setup here, and a published resolution guarantee of its own on the top plan. Choose Tidio over Richpanel if you are a very small store with low ticket volume, you want the simplest possible setup, and price plus simplicity decide it over resolution depth or multi-brand support. Lyro answers common questions well and handles order status; the ceiling shows on deeper transactions and at scale, where self-serve plans cap at 10 seats and Lyro is metered separately from about $32.50 per month. It is the best first AI, not the platform you grow into. The deeper cut is at Tidio alternatives.

The pure agent layer: Sierra and Decagon

One more category sits at the far enterprise end and rarely shows up on "chatbot platform" lists, because it deliberately is not one. Sierra and Decagon are agent layers with no helpdesk of their own: they resolve and act on top of your existing ticketing stack, sold on outcome-based contracts that typically start well into six figures a year. Choose one over Richpanel if you are an enterprise that wants a white-glove agent bolted onto an incumbent helpdesk you intend to keep, and budget is not the constraint. The trade-off is a longer setup, a vendor-run eval rather than one your team owns, and no unified helpdesk underneath. We compare them directly at Richpanel versus Sierra and Richpanel versus Decagon.

Richpanel

Stated as plainly as the others. Richpanel is a unified platform of AI agents that runs customer service end to end, resolving 50% of conversations autonomously while your people handle the exceptions. Choose Richpanel if you want autonomous resolution proven on your own historical tickets before go-live, flat per-conversation economics (about $0.20 per AI-resolved conversation plus $99 per seat) instead of a tier cliff or a per-resolution meter, done-for-you migration that brings your tickets, macros, tags, and users with you, multi-brand support in one workspace, and a 50% resolution in 30 days money-back guarantee. It reads full customer and order context, resolves end to end, and runs refunds, cancellations, order edits, and subscription changes as validated, policy-bounded tool calls, not drafted text: it does not tell a customer how to start a return, it starts the return. In production that has looked like a wellness brand whose AI answered the majority of customer messages at 4.39 out of 5 CSAT, above the brand's own human-team average.[3] Where we are weaker than the field: we are younger than Zendesk and Intercom, we do not match the sheer count of native Shopify-app integrations in Gorgias's marketplace, and we do not host native voice (we integrate with Aircall, Dialpad, and JustCall instead). If "most-established vendor," "maximum ecom app count," or "native phone as the primary channel" is your top criterion, that is a fair reason to look elsewhere.

A decision tree, not a verdict

Match your situation to the shortlist.

There is no single best AI chatbot platform. There is a best one for your ticket mix, your channels, and your scale. Map yourself to a line below.

Notice that the right answer flips on facts about you, not on which vendor wrote the article. If a single name appeared on every line, you would be reading marketing again.

The pricing trap most lists skip

The double meter: you can pay twice per resolution.

The bolt-on AI on a helpdesk carries a pricing shape that a feature comparison hides. You pay for the ticket, and you pay again for the AI resolution, sometimes with the resolution counting as a ticket too. Gorgias states it plainly: its AI Agent is $0.90 to $1.00 per resolved conversation, and each AI resolution also counts as a billable helpdesk ticket. Intercom Fin bills $0.99 per resolution on top of Intercom seats. Zendesk bundles AI into its Suite plans, then meters usage beyond the plan allowance.[2] The pattern is the same: automation gets its own meter, stacked on the seat or ticket meter you already pay.

This is why "cheapest today" is the wrong test. Model your real monthly conversation volume against each vendor's meter across a high-volume month, not a quiet one, because per-ticket, per-resolution, per-seat, and per-conversation pricing diverge sharply at scale. Richpanel charges once, about $0.20 per AI-resolved conversation plus $99 per human seat, with no separate per-ticket meter, which is the whole point of pricing the AI as the primary worker rather than an add-on. The broader cost breakdown is in best AI customer service software, and the full economics live on the pricing page.

Whatever platform you shortlist, run these four tests on every vendor before you sign. They are the difference between buying a demo and buying production. This matters especially at high volume: at thousands of conversations a month, pricing model differences compound fast, and a chatbot that handles 60% of tickets at entry price may bill very differently once you hit a quota or a per-resolution tier.

Run the agent on 100 of my historical tickets.

Ask for per-response accuracy and a walk-through of the failures. A vendor that will not do this is selling a demo, not production.

Is your headline rate deflection or confirmed resolution?

If they conflate the two, the number is marketing. Deflection counts a customer who gave up; resolution counts a problem actually solved.

Model my real monthly volume against your pricing.

Per-ticket, per-resolution, and per-conversation produce wildly different bills at scale. Make the vendor do the math on your numbers, not a sample, and check whether an AI resolution is also billed as a ticket.

Show me the agent complete a real action.

A refund on a test order, a cancellation, a subscription edit. Watching it act is the one demo that separates an agent from a chatbot with a better vocabulary.

For the full version of these tests, see our vendor RFP template.

How this comparison is limited

What this guide cannot tell you.

An honest comparison names its own blind spots. Three apply here.

The claim this guide will stand behind is narrow and defensible: whether you need answers or actions decides your shortlist before any vendor does, and a platform's willingness to prove resolution on your own historical tickets is the single most predictive signal you can test before signing.

Frequently asked

Chatbot platforms, in plain English.

What is the difference between an AI chatbot and an AI agent?

A chatbot deflects and answers. It matches a customer message to a scripted flow or a passage in your knowledge base, replies, and asks did this help. An AI agent resolves and acts. It reads the full customer and order context, decides what to do, and runs the transaction as a validated tool call: it issues the refund, cancels the order, edits the subscription, updates the record. The one-line test is whether the software starts the return or only tells the customer how to. In 2026 the category itself is renaming from chatbot to agent, which is why searching for an AI chatbot platform can send you to tools built for the older, weaker job.

What is the best AI chatbot platform for customer service in 2026?

There is no single best platform, only a best one for what your tickets need. If your tickets are mostly questions and price and simplicity decide it, Tidio's Lyro is the strongest entry point and a small store is often right to stay. If a large share of your tickets need the software to take an action, the shortlist narrows to platforms that resolve and act: Richpanel for a team of AI agents that resolves 50% autonomously with real actions, per-conversation pricing, multi-brand, and a money-back guarantee; Intercom Fin if you already run Intercom; Gorgias AI for the widest Shopify ecosystem; Zendesk AI for breadth beyond ecommerce; and Ada for enterprise multilingual and voice. Decide whether you need answers or actions first, then compare.

Do I need a chatbot that answers, or an agent that acts?

This is the fork that shortlists for you. If your tickets are mostly questions like where is my order, what is the return window, or is this in stock, a strong answering AI carries most of the load and price becomes the deciding factor. If a large share of your tickets need the software to do something, refund this, cancel that, pause the subscription, edit the order, you need an agent that executes policy-bounded actions, which narrows the field to Richpanel, Intercom Fin, Gorgias AI, and Zendesk AI. Pull a week of tickets and count the share that require an action rather than an answer. That percentage decides your shortlist more than any resolution-rate claim on a marketing page.

How much does an AI chatbot platform cost?

Pricing splits into three shapes as of July 2026. Entry SMB tools like Tidio run roughly $24 to $749 per month across self-serve tiers, with Lyro AI metered separately from about $32.50 per month for 50 AI conversations. Bolt-on AI on a helpdesk is billed per resolution on top of seats or tickets: Gorgias AI at $0.90 to $1.00 per resolution plus per-ticket helpdesk plans, Intercom Fin at $0.99 per resolution plus Intercom seats from $29, Zendesk AI bundled into Suite plans from $55 per agent with usage overage. Enterprise agent layers like Ada use outcome-based custom contracts, typically six figures a year. Richpanel charges about $0.20 per AI-resolved conversation plus $99 per human seat, with no separate per-ticket meter. Model your real monthly conversation volume against each meter before comparing, and verify current figures with each vendor.

Can an AI chatbot platform take actions like refunds and cancellations?

Some can, and that is exactly the line that separates a chatbot from an agent. Answer-only tools describe the process, telling the customer how to start a return or where the cancel button is, then mark the ticket resolved. Agent-grade platforms run the transaction directly through connected systems: Richpanel executes refunds, cancellations, and order and subscription edits as validated, policy-bounded tool calls; Intercom Fin updates external systems through Actions; Gorgias AI runs native Shopify order actions; Ada automates multi-step workflows through Playbooks. When you evaluate, ask the vendor to demonstrate the agent completing a refund on a test order, not just answering a question about one.

Which AI chatbot platform is best for ecommerce?

The ones that connect to your store and act on order and customer data, not the ones that only route a ticket. Gorgias has the widest Shopify app marketplace and the largest ecom installed base. Richpanel runs native Recharge, Loop, and AfterShip actions, resolves refunds and subscription changes end to end, and is popular with Shopify merchants for visual order tracking. Intercom Fin and Zendesk AI both act on connected systems but are less ecom-specialized. Whichever you shortlist, the capability that matters is reach into your store deep enough to resolve an order, not just describe it.

Which AI chatbot platform is best for enterprise or multilingual support?

For large, global, multi-function support operations, Ada and Zendesk AI are the strongest fits. Ada is built for enterprise multilingual automation across voice, messaging, and email, with a 300,000 annual conversation minimum, so it suits high-volume global teams rather than small stores. Zendesk AI brings the broadest platform breadth beyond ecommerce, a large app marketplace, and mature separately-sold QA and SLA tooling, which fits an organization standardizing one vendor across IT, internal help desks, and customer support. Pure agent layers like Sierra and Decagon sit at the far enterprise end with outcome-based contracts and no helpdesk of their own, typically starting well into six figures a year.

How do I evaluate an AI chatbot platform before buying?

Run four tests on every shortlisted vendor. One, ask them to run the agent on 100 of your own historical tickets and show per-response accuracy, not a curated demo. Two, ask whether the headline number is deflection or confirmed resolution, because deflection counts a customer who gave up and resolution counts a problem actually solved. Three, make them model your real monthly volume against their pricing, since per-ticket, per-resolution, and per-conversation meters produce very different bills at scale. Four, watch the agent complete a real action, a refund on a test order, not just answer a question. The vendor that will not do these is selling a demo, not production.

Which AI chatbot platforms let you choose your LLM, including Google Gemini?

Most AI chatbot platforms in this comparison lock you to a single model provider. Richpanel is the exception: users choose the underlying LLM, with support for Google Gemini alongside Claude and GPT models. This matters for small businesses and enterprise teams alike who have existing Google Cloud commitments, data-residency requirements, or who want to run cost comparisons across models. When you evaluate platforms, ask directly whether users can select or switch the LLM, or whether the vendor controls that choice permanently. The ability to pick your model also gives you a meaningful lever on cost: Google Gemini Flash, for example, runs at a fraction of the price of GPT-4 class models for routine support conversations that mostly answer questions about orders and policies.

Sources & references

Where the claims come from.

Inline citations [1]–[3] map to the entries below. Vendor product and pricing pages used to source matrix rows are linked inline in the table, each nofollowed.

  1. 2026 industry roundups and vendor documentation. The observation that the leading "AI chatbot" platforms are now described as AI agents, and that top platforms market autonomous resolution above 80%, is drawn from the current crop of 2026 "best AI chatbot for customer service" analyses and each vendor's own product pages. The chatbot-versus-agent distinction (scripted or retrieval reply versus autonomous action) is the framing those roundups now use.
  2. Vendor public pricing and product pages, reviewed July 2026. Tidio, Intercom Fin (fin.ai), Gorgias, Zendesk, and Ada pricing and product pages, linked inline in the matrix. Figures include Tidio self-serve tiers ($0 to $749/mo) and Lyro from ~$32.50/mo; Fin at $0.99 per resolution plus Intercom seats from $29; Gorgias AI Agent at $0.90 to $1.00 per resolution, also billed as a ticket; Zendesk Suite from $55 per agent with bundled AI plus usage overage; Ada outcome-based with a 300,000 annual conversation minimum. Pricing is volatile; verify current figures with each vendor.
  3. Richpanel production case study (wellness brand). The AI answered the majority of customer messages at 4.39/5 CSAT, above the team-wide 4.33. richpanel.com/case-studies/wellness

Version history, v1.0 (2026-07-08): initial publication. Matrix cells are a snapshot of public vendor documentation as of July 2026.

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