My AskAI vs Chatbase AI: Pricing & Features (2026)

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Jul 22, 2026 05:07 PM

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Mike Heap

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Ecomm?

What AI can I use to reply to customer support tickets: My AskAI or Chatbase?

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TL;DR: Both resolve tier-1 questions autonomously, but they sit in different places. My AskAI installs inside your existing helpdesk, while Chatbase is a standalone platform you build a bot on and deploy as a website widget, a WhatsApp or Slack agent, a voice line, or its own help desk.

Chatbase calls itself the complete platform for building and deploying AI support agents, and that's a fair badge to wear. You build one agent inside it, then send it out wherever suits: dropped on a page as a chat widget or iframe, wired into WhatsApp, Instagram, Messenger or Slack, picking up an inbound phone line, or running Chatbase's own help-desk module with a shared inbox and ticket views. It scales from a single bot on one page up to running your whole front-of-house.

We work the other way round. My AskAI is the AI layer that slots into a helpdesk you're already paying for: Zendesk, Intercom, Freshdesk, Gorgias and HubSpot.

The rate is $0.10 per ticket, flat. We slot in alongside your helpdesk and replace only the native AI product baked into those platforms: Fin, Zendesk AI, Freddy, Gorgias Automate, Breeze.

So both agents resolve the same repetitive tier-1 questions on their own, and hand off to a human when they get stuck. The difference is the wrapper: Chatbase is a platform you build on and deploy from; My AskAI is a layer inside the inbox your team already lives in.

And Chatbase is a bootstrapped business that says it's used by more than 10,000 businesses across 140+ countries (we wrote a full breakdown of how Chatbase works if you want the deep dive). Both of us review reasonably well on G2, too:

	My AskAI	Chatbase
Rating	4.5 / 5	4.7 / 5
Reviews	21	14
Reviews page	My AskAI on G2	Chatbase on G2

Chatbase also carries a larger public sample on Capterra: 4.3/5 across 73 reviews, with an Ease-of-Use sub-score of 4.6.

How does an AI customer service agent work: My AskAI vs Chatbase?

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TL;DR: Both are RAG agents, trained on your knowledge, connected to live systems to take actions, escalating to a human when unsure. The difference is the wrapper: My AskAI answers inside your helpdesk inbox, while Chatbase runs its own agent you embed or route wherever you like.

Under the hood, the two are close cousins (we've built ours the same textbook way most modern agents are built). Each one ingests your knowledge, chunks and embeds it into a vector store, pulls the relevant pieces at question time, and hands them to a large language model to write the reply.

Both take actions on live systems, and both escalate to a human the moment they hit something they can't confidently handle. Neither is a decision-tree chatbot.

Where they split is on models, and here Chatbase earns real credit. It's multi-model in the fullest sense: 35+ models across seven providers (OpenAI, Anthropic, Google, DeepSeek, Meta, MoonshotAI and xAI), and you pick the model per agent, with a side-by-side Compare view to test them head to head.

Chatbase's side-by-side model Compare, routing one customer question to two models to test them head to head.

My AskAI is multi-model too (we run OpenAI, Google and Anthropic, continuously A/B tested), but we pick the model for you and keep the slow reasoning models out of the live path, they'd stall a synchronous reply. Chatbase hands you the dial; we make the call.

On actions, Chatbase uses function-calling AI Actions that reach Stripe, Shopify, Slack, Calendly and any custom HTTP endpoint, plus a built-in escalate-to-human step. We reach live systems through Tasks and Tools, natural-language multi-step procedures that call your APIs for refunds, cancellations or order updates. Those can run fully autonomously or as propose-then-approve, and you choose which per action.

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

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TL;DR: My AskAI runs as direct replies, copilot and internal-note drafts, and a free Chrome-extension copilot inside your helpdesk. Chatbase runs direct replies across web, WhatsApp, Instagram, Messenger and Slack, and adds inbound voice agents, which My AskAI does not have.

Direct replies

This is the main event for both. Chatbase deploys direct replies through a website widget or iframe, and through native WhatsApp (1,000 free messages a month), Facebook Messenger, Instagram, Slack and email.

We reply directly inside your helpdesk's own chat, messaging and email channels. If your customers come at you across social, Chatbase's native channel spread is broader than ours out of the box.

Copilot replies

Both can also help your human agents directly. My AskAI includes a free Copilot Chrome Extension that works inside any of our integrated helpdesks with no seat charge, on every plan, drafting replies and doing lookups in the agent's normal workflow. Chatbase offers an in-Zendesk "Generate Draft Response" composer that does the equivalent job for agents working in Zendesk.

Screenshots showing My AskAI responding in copilot mode in Intercom (left) and internal note mode in Zendesk (right).

Internal note replies

This one is ours. My AskAI's Internal Notes mode is the default zero-risk on-ramp: the AI drafts a reply on every ticket as a private internal note the customer never sees, so your team can judge quality on real tickets, side by side with your current setup, before it ever goes live. Chatbase's Playground handles pre-deploy testing, with no live-inbox shadow mode, so there's no equivalent way to run it silently next to what you're already doing.

Voice

Here's a genuine Chatbase win. Chatbase Voice launched in May 2026: inbound voice agents over Twilio that reuse the same knowledge, actions and escalation as the chat agent, across 95+ languages, with 10 concurrent calls on Standard and 20 on Pro.

We have no voice product today, none. If you need to answer the phone with AI, that alone is a fair reason to choose Chatbase over us.

Which is easier to setup, Chatbase or My AskAI?

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TL;DR: It's close, both are no-code and self-serve. Chatbase is live in about 10 minutes with a website snippet or one-click Shopify install. My AskAI is a similar 10 to 15 minutes: sign up, connect knowledge, install the helpdesk app. Neither needs a developer for the standard setup.

On getting a first bot live, Chatbase is the quicker of the two. It's no-code, reaches first value in under 10 minutes with no credit card to trial, embeds with a single JavaScript snippet, and has a one-click Shopify install. Its Capterra Ease-of-Use score of 4.6 is its highest sub-score, which fits that experience.

The Chatbase Playground: model selector, knowledge sources, AI Actions and a live chat preview in one build-and-test screen.

We add one small step Chatbase doesn't. You sign up (with a business email), connect your knowledge, and install our app from your helpdesk's marketplace.

That's 10 to 15 minutes, and off pure knowledge you can be live in minutes to hours. No developer needed for a standard setup, and you can move across from Fin or Zendesk AI in under a day.

Word-on-the-street on Chatbase's side is that some Product Hunt reviewers report agents stuck "training" for hours, occasionally 23 hours or more, before they're usable. Take that with a grain of salt, since plenty of reviewers never hit it. Still, it's the friction that shows up most in public reviews.

So the read here is a tie, with a slight Chatbase edge on standing a first bot up. Our edge is a different kind of thing: setup means AI live in the helpdesk you already work in, with no new surface to embed and babysit.

Video preview — How To Add an AI Agent To Your Helpdesk in 10 Min | Zendesk, Intercom, HubSpot, Gorgias

And because we're free to trial for 30 days, every feature unlocked and unlimited tickets, you can measure that on your own tickets before you commit.

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

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TL;DR: My AskAI documents a broader connector set, Drive, Notion, Confluence, SharePoint, OneDrive, Dropbox, Salesforce, Shopify, the three helpdesk help-centers, plus historic-ticket training, with no published per-agent size cap. Chatbase covers files, website crawl, Q&A and Notion, but caps training data per agent (1 MB free to 40 MB Pro) and only ingests a few file types natively.

'Static' content

On the basics, the two overlap more than you'd think. Both learn from a help center, a public website, uploaded files and custom Q&A pairs. If your knowledge is a clean help center, either will get you moving.

There are a few real limits on Chatbase's side worth knowing, all documented in its Data Sources docs. Files are .pdf, .txt, .doc and .docx only (no CSV or Markdown), Custom Q&A comes in as an .xlsx capped at 100 rows or 1 MB, and the total training data per agent is hard-capped by plan: 1 MB on Free, 10 MB on Hobby, 20 MB on Standard, 40 MB on Pro. Beyond files and Q&A, the connectors are website crawl and Notion.

Chatbase Sources: uploading training files (PDF, DOC, DOCX, TXT) with per-source character counts.

We cast a wider net. Alongside your help center, website, PDFs, DOCX and Custom Answers, we connect Google Drive, Notion, Confluence, SharePoint, OneDrive, Dropbox, Salesforce (for knowledge pages) and Shopify, plus the Zendesk, Intercom and Freshdesk help centers, behind-login articles included.

A screenshot of the knowledge page in the My AskAI dashboard.

You can mark any source internal-only, and we don't publish a per-agent size cap. The big one is historic-ticket training: we auto-draft knowledge from up to 5,000 of your past resolved tickets by default (more on request).

If you don't have a polished help center yet, that's often how you get a useful agent from a standing start, by learning from how your team has answered real customers.

'Dynamic' content

For live data, Chatbase imports tickets from Salesforce or Zendesk (one at a time), fires its AI Actions against Stripe, Shopify, Slack and custom HTTP endpoints, and Auto Retrains every 24 hours on Standard and Pro (Hobby is manual). We read live data through our User Data API and a native Shopify integration for product, order and customer lookups, and take actions through Tasks and Tools.

Here's how the two stack up on what each can be trained on:

Source	My AskAI	Chatbase
Help center / KB	✅	✅
Website crawl	✅	✅
PDF / DOCX upload	✅	✅
Custom Q&A pairs	✅	✅ (.xlsx)
Notion	✅	✅
Confluence / Google Drive	✅	—
OneDrive / Dropbox / SharePoint	✅	—
Salesforce (knowledge pages)	✅	—
Historic-ticket training	✅ (up to 5,000)	Partial (ticket import, 1 source at a time)
Live CRM / order reads	✅ (User Data API, Shopify)	✅ (AI Actions: Stripe / Shopify)
Mark a source internal-only	✅	—
No published per-agent size cap	✅	— (1 MB free to 40 MB Pro)

Which has better answer quality, Chatbase or My AskAI?

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TL;DR: Roughly comparable on tier-1 questions from a clean knowledge base. Both cluster around the field's ~70% median (Chatbase markets 60 to 80%; My AskAI runs about 72% across its base). It isn't an apples-to-apples duel, because each defines resolution differently.

Neither of us has an independent benchmark to wave around. Chatbase markets resolution of "up to 80%" of tickets, with a 60 to 80% auto-resolution range as its North Star, all vendor or customer attested.

Our numbers are our numbers too, about 72% rolling resolution across the whole customer base. So a vendor-versus-vendor percentage duel isn't much use: resolution rates aren't apples-to-apples across tools, because each defines the metric differently, and it swings with your industry and ticket mix.

For where the market sits, our own AI resolution-rate benchmarks, drawn from 195 rated deployments, put the field median near 70%. That's the rough neighborhood. A tool reporting "resolution" tends to look about 12 points higher than one reporting "automation", purely because of how the words are defined.

A resolution-rate spectrum from 20% to 100%: low-by-design rollouts near 26%, the field median near 70%, and mature rollouts near 95%, drawn from 195 rated deployments.

Two things tilt quality in our favor on messy, real-world phrasing. First, we train on your actual resolved tickets, the ones real customers phrase awkwardly, which is exactly where a clean help center falls short.

Second, when you want to know why the AI said something, Echo shows you why the agent gave any answer and which source it pulled from. Traceability like that helps most when an agent slips, and Chatbase has documented moments where it does, as one Capterra reviewer notes:

"It sometimes makes up URLs with our domain. I don't like how this can mislead some users." Isaiah A. on Capterra

We count a conversation as resolved when the AI handled it without escalating to a human. That number holds up because escalation is easy: a customer can ask for a person any number of ways, so a conversation that never needed one is a fair signal.

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

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TL;DR: My AskAI improves itself: Self-Learning auto-drafts new knowledge every week by comparing its replies to your agents' edits, and Echo shows why any answer landed. Chatbase gives you a Revise-to-Q&A loop and an Activity dashboard, but it's a manual, live-iteration loop with no pre-launch simulation against past tickets.

With Chatbase, improving the agent is hands-on. You review the answers that missed in the log, overwrite the wrong ones so they move into the Q&A tab, thumbs-up or thumbs-down individual messages, and check the weekly Activity dashboard.

Pro adds Sources Suggestions that flag missing knowledge. It works, but it's a manual loop you drive, and the Response Quality docs frame it as live iteration, with no pre-launch simulation against your history.

Our Self-Learning is built to take that load off you. On any ticket the AI handed over, it compares its own draft to what your human agent sent, then drafts a new knowledge article to close the gap, ready for you to approve. It runs every week, so the knowledge base largely maintains itself, without waiting for you to spot the hole.

A screenshot of the Improve - Custom Answers section of the My AskAI dashboard, showing how to add a new custom answer.

Both need a human in the loop; the difference is who does the drafting. Chatbase asks you to find and fix the gaps; we draft the fix and ask you to approve it. That's also why we lean on pre-launch confidence, you validate on real tickets in Internal Notes mode before going live, where Chatbase's loop starts once the agent is already talking to customers.

Which has more features, Chatbase or My AskAI?

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TL;DR: Chatbase has the broader raw platform: voice, 35+ models with side-by-side Compare, native web, WhatsApp, Instagram and Slack channels, a Shopify app, an Agent Page and its own help-desk module. My AskAI offers the support-specific depth teams use daily, Internal Notes, Self-Learning, Echo, Tasks, inside the helpdesk, without a new surface to run.

I'll hand Chatbase this category, flat out. As a platform, it simply does more things than an AI agent does.

You get inbound voice, 35+ models you can compare side by side, native channels across web, WhatsApp, Instagram, Messenger and Slack, a one-click Shopify app, an Agent Page (a chat-first knowledge front door), its own help desk module with a shared inbox on Standard and up, and a permanent free plan to start on. If you want one product that's your whole front-of-house, that breadth is the appeal.

Chatbase Available Actions: prebuilt AI Actions like order tracking and call rescheduling, each toggled on.

We go deep on the AI agent rather than wide on the platform. You get Internal Notes mode for silent testing, automatic Self-Learning, Echo and Inspect for answer traceability, Tasks and Tools for actions like refunds and order lookups, per-ticket Tagging, Insights that score 100% of conversations for CSAT, and a free Copilot Chrome extension with no seat charge. All of it runs inside the helpdesk you already have, and moves with you if you switch.

A screenshot of My AskAI's “Task & Tools” feature enabling complex, multi-step actions like updating addresses, or refunding an order.

Feature	My AskAI	Chatbase
Runs inside your existing helpdesk	✅	—
Standalone widget / own help desk	✅ (widget)	✅ (own help desk)
Native WhatsApp / Instagram / Messenger / Slack	—	✅
Inbound voice / phone	—	✅
35+ models with side-by-side Compare	—	✅
Internal Notes shadow mode	✅	—
Trains on historic tickets	✅	—
Auto Self-Learning	✅	—
Answer traceability (Echo / Inspect)	✅	—
Free Copilot Chrome extension	✅	—
Permanent free plan	—	✅
Portable across your helpdesks	✅	—

Is it easy to customize My AskAI and Chatbase?

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TL;DR: Both are self-serve. My AskAI gives you Guidance (three types), prompt, persona and natural-language Tasks. Chatbase gives you custom instructions, persona, temperature, per-agent model choice and widget styling, with true product white-labeling gated to Enterprise.

On the surface these are close. Chatbase lets you write custom instructions and a persona, set the temperature, pick the model per agent, and style the widget (brand colors, bubble icon, welcome messages, initial questions, custom domains). The one thing to watch is that true product white-labeling sits on Enterprise; even just removing the "Powered by Chatbase" badge is a separate $1,188 a year add-on.

We lean on Guidance, plain-English control in three flavors: Communication and Style, Context and Clarification, and Handover and Escalation. You write a short rule ("if a customer asks about refunds over $200, hand to a human") and the agent follows it, with no decision-tree to build.

A screenshot of My AskAI's Guidance feature.

Combined with natural-language Tasks, that turns most behavior changes into a sentence rather than a settings safari, so we edge this one on plain-English control, while Chatbase edges it on per-agent model and temperature knobs. Branding removal on our side is $49 a month, and free on Scale and Enterprise.

What about vendor lock-in?

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TL;DR: My AskAI moves across all five helpdesks (Zendesk, Intercom, Freshdesk, Gorgias, HubSpot), switch from Zendesk to Intercom and your trained agent, custom answers and tasks come with you. Chatbase is its own platform: your agent, training and workflows live inside Chatbase, so leaving means rebuilding elsewhere.

The structural difference is that Chatbase is its own platform, so the agent, its training and its workflows all live inside it.

It integrates with helpdesks (Zendesk, Salesforce, Intercom, Freshdesk, HubSpot, Zoho Desk and Help Scout) to create and escalate tickets, but the agent itself runs in Chatbase, and there's no native Intercom or Gorgias marketplace app, those go through Zapier or middleware. If you ever leave Chatbase, the training you invested leaves with the platform.

We built My AskAI so that doesn't happen. The trained agent, custom answers, guidance and tasks carry across the five helpdesks we support: Zendesk, Intercom, Freshdesk, Gorgias and HubSpot. You typically run in one helpdesk at a time, but if you switch, the AI moves with you and you don't rebuild from scratch.

A screenshot of the Channels section of the My AskAI dashboard showing the 5 native integration options of Intercom, Zendesk, Gorgias, Freshdesk and HubSpot.

We're a layer too, of course, so we're not free of the general "your AI lives somewhere" reality. The difference is that our layer keeps your existing stack and travels with you, while Chatbase asks you to run part of your support on its platform, and keeps the training there.

Does Chatbase or My AskAI have any other AI features?

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TL;DR: Both auto-tag and both handle multilingual support. Chatbase adds inbound voice, sentiment analysis and side-by-side model Compare; My AskAI adds Insights that score every conversation for CSAT, well beyond the usual sample.

Tagging

We auto-tag tickets across up to three custom fields, natively inside Zendesk, Intercom, Freshdesk and Freshchat. It works off your existing helpdesk tags, expands each into a full definition you can edit, and classifies each incoming message by meaning.

Because tagging is billed separately at $0.05 per attribute per ticket, it doubles as a spend-control lever: route a class of tickets you'd rather the AI didn't answer to a human, and pay only the tag. Chatbase has its own Zendesk auto-tagging (chatbase-involved, chatbase-soft-resolved, chatbase-routed-to-workspace) plus automatic Topics grouping in its Analytics.

Agent translation and languages

Both handle multilingual support well. We support 95 languages, auto-detected per message, plus a Live Translation add-on that translates a handed-over conversation into your agent's language and their reply back again. Chatbase covers 80 to 95+ languages with cross-language retrieval, so it can be trained in one language and answer in the customer's.

Voice and analytics

This is where Chatbase's platform breadth shows. On top of its inbound voice agents, its Analytics surface sentiment analysis and topic grouping, and its Playground adds that side-by-side model Compare view.

Chatbase Analytics: topic grouping and message sentiment.

Our Insights go the other way: we score 100% of conversations for AI CSAT (not the usual 2 to 10% sample), and report topics, resolution time and handover rates. Chatbase adds voice and model-comparison analytics; ours concentrate on the support-ops numbers.

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

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TL;DR: Near parity. Both are SOC 2 Type II and GDPR compliant with encryption at rest and in transit, and neither offers HIPAA. Chatbase gates SSO and audit logs to Enterprise; My AskAI adds AES-256 and a public trust center.

Both take security seriously, and they land in a similar place. We're SOC 2 Type II certified and GDPR compliant, with AES-256 encryption at rest and TLS in transit, customer data never used to train models, and isolated containers per customer.

You can pull the full details from our trust center. Chatbase's security page lists the same SOC 2 Type II, GDPR and encryption at rest and in transit, and it adds HMAC identity verification and user roles on all plans.

The differences are only at the edges (the kind a security reviewer pokes at): on Chatbase, SSO, audit logs and custom roles are Enterprise-only. Here's the head-to-head:

	My AskAI	Chatbase
SOC 2 Type II	✅	✅
GDPR	✅	✅
Encryption at rest and in transit	✅ (AES-256 / TLS)	✅
HIPAA	—	—
SSO / audit logs	Enterprise	Enterprise only
Public trust center	✅	—

For most B2B SaaS and ecommerce teams, SOC 2 Type II plus GDPR is the grid the security reviewer asks for, and both clear it.

Which costs more, Chatbase or My AskAI?

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TL;DR: It depends entirely on which models you run. Chatbase's flat tiers ($0 / $32 / $120 / $400) meter every reply in credits that cost 1 to 6 each by model, so the same plan can serve 2,500 or 15,000 replies. My AskAI is a flat $0.10 a ticket you can forecast before you sign.

The pricing model

There are lots of ways to price an AI agent, and they differ mostly in whether you can forecast your own usage of the meter.

Pricing-meter contrast: My AskAI bills a flat $0.10 per ticket you can forecast with no seat ceiling and no outage when the meter runs dry; Chatbase bills per reply in 1 to 6 credits by model, caps every plan at five seats, and takes the agent offline when credits run out.

I've watched vendors price on replies, and the snag is you don't really know how many replies you'll do in a month. Some price on resolution, but you've no idea what rate you'll get on day one.

And some price on a credit that isn't obvious, the hardest of all to compare up front, because you only learn what it costs once you're already using it. Tickets are the one meter almost every team can forecast, which is why we price on them.

Chatbase prices on flat monthly tiers plus message credits: Free $0, Hobby $32, Standard $120, Pro $400, and Enterprise on a custom quote (20% off annual). Each tier includes a monthly credit allotment (50 on Free, 500 on Hobby, 4,000 on Standard, 15,000 on Pro) that renews on the 1st, and each reply spends 1 to 6 credits depending on the model.

Per Chatbase's own FAQ, most current frontier models cost 2 to 4 credits a reply, the top Claude Opus models cost 5 to 6, and "all other models" cost 1. Run out mid-month and the customer sees "This AI Agent is currently unavailable," unless you've turned on auto-recharge at $40 per 1,000 credits.

Extra AI agents run $300 a year, and every plan, including the $400 Pro, is capped at 1 AI agent and a 5-person support team (1 seat on Free, up to 5 on Pro).

We charge per ticket at a flat $0.10 on our published plans: Pro at $199 a month for 1,000 credits with 5 seats, Scale at $499 a month for 2,000 credits with unlimited seats and branding removal included, and Enterprise from $999. In practice every two AI chat replies is one credit (about $0.10 a chat ticket; email works out around $0.15). The bill tracks tickets, and tickets are a number you can forecast up front.

The overall cost

Chatbase can be cheaper than us. At 10,000 tickets a month on its cheapest 1-credit models, a Chatbase bill lands around $600, against roughly $1,299 for us on Scale.

If you run cheap models on straightforward tickets, Chatbase wins on sticker price.

The catch is three things the sticker hides. First, that same 10,000-ticket month swings from about $600 to about $4,600, a 7.7x range, purely on the model dropdown (the top Claude Opus models cost 6 credits a reply and each ticket is roughly two replies), and the pricing page never spells it out.

One 10,000-ticket month on Chatbase costs about $600 on the cheapest one-credit models but about $4,600 on the top Claude Opus models, a 7.7 times swing set only by the model dropdown.

The cheap end buys you a 1-credit model on exactly the hard tickets you bought AI for. Second, credit exhaustion is a customer-visible outage: your customers see "This AI Agent is currently unavailable," where an overage would only ever be a quiet line on your invoice.

Third, the ladder stops at a 5-person support team, so a 20 or 50-agent team has no plan it can actually buy, short of an unpriced Enterprise conversation.

So our win here is a flat $0.10 a ticket you can forecast before you sign, no seat ceiling, and no outage when the meter runs dry.

If you want the math on your own volume, our pricing page and pricing explainer lay it out, and our AI resolution-rate benchmarks show where real resolution rates land. You can also prove it before you pay: the free trial is 30 days, every feature unlocked, unlimited tickets, no card.

Chatbase has a permanent free plan (50 credits a month, no card), a fair way to kick the tires, though those free credits are thin.

Conclusion - should I choose Chatbase or My AskAI?

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TL;DR: For a team that wants a standalone bot live across web, WhatsApp, Slack and voice this week, or wants to run its own lightweight help desk, Chatbase is a strong, fast, self-serve pick. For a team that already runs a helpdesk and wants tier-1 tickets resolved inside it at a bill they can forecast, My AskAI wins.

If you have no helpdesk and want a standalone AI bot live across your website, WhatsApp, Slack or a phone line this afternoon, Chatbase is the better call, even though I'm on the other side of it. If you already run a helpdesk (or you'll grow into one) and you want tier-1 tickets resolved inside it at a bill you can forecast, My AskAI is the stronger long-term pick.

Here's how the categories score:

	My AskAI	Chatbase
Modes	7/10	9/10	Chatbase (voice + native WhatsApp / Instagram / Messenger / Slack)
Ease of setup	8/10	8/10	Tie (both no-code, live in ~10 min, no card)
Training/Integrations	9/10	6/10	My AskAI (broader connectors, historic tickets, no published size cap)
Answer Quality	8/10	7/10	My AskAI (Echo traceability + pre-launch testing)
Improving	9/10	7/10	My AskAI (Self-Learning auto-drafts)
Features	7/10	8/10	Chatbase (voice, 35+ models / Compare, own help desk)
Price	8/10	7/10	My AskAI (predictable, no seat ceiling, no outage)
Customization	8/10	7/10	My AskAI (plain-English Tasks + Guidance)
Lock-in	9/10	6/10	My AskAI (moves across Zendesk, Intercom, Freshdesk, Gorgias, HubSpot)
Other AI features	7/10	8/10	Chatbase (voice, model Compare, cross-language retrieval)
Security	7/10	7/10	Tie (both SOC 2 Type II + GDPR, neither HIPAA)

The split is clear. Chatbase wins where being a whole platform pays off: more channels and modes, a broader raw feature set, and platform-side AI extras like voice and model Compare.

A positioning map: Chatbase sits in the standalone-platform, broad-front-of-house quadrant; My AskAI sits in the lives-in-your-helpdesk, deep-support-ops quadrant.

We win on the AI-agent fundamentals: training on your real tickets, improving ourselves, a forecastable bill with no seat ceiling, and not stranding your work when you change helpdesks. On price it's close, and on cheap models Chatbase can be cheaper; what we sell is predictability over the lowest possible sticker.

Choose Chatbase if:

You want a standalone AI bot on your website, WhatsApp or Slack this afternoon.

You need inbound voice or a phone line.

You want to run a lightweight help desk on one platform.

You're a small (five seats or fewer) team happy to pick your model and watch your credits.

You have no existing helpdesk you want to keep.

But if you already run a helpdesk, or you can see yourself growing into one, and you want tier-1 tickets resolved inside it at a bill you can forecast before you sign, My AskAI is the stronger pick, and you keep your stack while you're at it.

If Chatbase's credit meter or its five-seat ceiling is what pushed you to look around, our Chatbase alternatives roundup goes wider, and if you're weighing another self-serve bot builder, our My AskAI vs eesel AI comparison covers a close neighbor. Either way, you can trial My AskAI free for 30 days on your own tickets first.

FAQs

Can My AskAI replace Chatbase?

It depends what you're using Chatbase for. If you're resolving tier-1 tickets inside an existing helpdesk, then yes, we're the in-inbox AI layer that does that job, usually better trained and more portable.

If you're using Chatbase as a standalone website widget, an inbound voice line, or its own help desk, we don't replace those, we have no voice product and we're not a standalone platform builder. Match the tool to what you run.

What can My AskAI and Chatbase each be trained on?

Both train on your help center, custom Q&A, website and files. We add a wider connector set (Notion, Confluence, Google Drive, OneDrive, Dropbox, SharePoint, Salesforce knowledge pages and Shopify), train on up to 5,000 of your historic tickets, and don't publish a per-agent size cap. Chatbase covers files (.pdf, .txt, .doc, .docx), website crawl, Custom Q&A (.xlsx) and Notion, imports tickets from Salesforce or Zendesk one source at a time, and caps training data per agent from 1 MB on Free to 40 MB on Pro.

How long does setup take and do we need developers?

Both are minutes, with no developer needed for a standard setup. Chatbase is around 10 minutes with a site snippet or one-click Shopify install.

We're about 10 to 15 minutes: sign up, connect your knowledge, install our app in your helpdesk's marketplace, and off pure knowledge you can be live within minutes to hours. You'd only pull in a developer for custom API work, on either side.

How do My AskAI vs Chatbase pricing models differ, and what might we actually pay?

Chatbase is a flat monthly tier plus message credits (1 to 6 per reply by model); My AskAI is a flat $0.10 per ticket. Which is cheaper depends entirely on the models you run, and Chatbase can come in lower at the cheap end.

	My AskAI	Chatbase
Pricing model	Flat per ticket	Monthly tier + message credits
Headline rate	$0.10 / ticket	1–6 credits / reply (by model)
Plans	Pro $199 / Scale $499 / mo	Free $0 / Hobby $32 / Standard $120 / Pro $400 / mo
~10k tickets / month	~$1,299 (Scale, flat)	~$600 (cheap models) to ~$4,600 (top models)
Seats	Unlimited on Scale	5 or fewer on every plan (incl. $400 Pro)
Free trial / plan	30-day free trial, all features, no card	Permanent free plan (50 credits / mo)

Can they handle multilingual support and agent translations?

Yes on both. We support 95 languages auto-detected per message, plus a Live Translation add-on that translates a handed-over conversation into your agent's language and their reply back. Chatbase covers 80 to 95+ languages with cross-language retrieval, so it can be trained in one language and answer the customer in theirs.

How do they compare on security and compliance?

Both are SOC 2 Type II and GDPR compliant, with encryption at rest and in transit, and neither offers HIPAA. We add AES-256 encryption and a public trust center, while Chatbase gates SSO, audit logs and custom roles to its Enterprise plan.

For most B2B SaaS and ecommerce reviewers, SOC 2 Type II plus GDPR is the grid that matters, and both clear it.

Does each one offer a free trial?

Both let you try before you pay. Ours is a 30-day free trial with every feature unlocked, unlimited tickets and no card, so you can test on your real volume without watching a meter. Chatbase has a permanent free plan (50 credits a month, no card), with the caveat that the free credits are thin and the agents auto-delete after 14 days of inactivity.

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