Chatbase vs CustomGPT in 2026: Two Train-on-Your-Data Chatbots, Compared Honestly

If you have searched "train AI on my data" or "custom ChatGPT for my website" at any point in the last year, you have landed on one of two platforms: Chatbase or CustomGPT. They dominate the category. They rank for nearly identical keywords. And on the surface, they solve the same problem -- upload your docs, get an AI chatbot that answers questions from your knowledge base.

But the philosophies behind these two products are different enough that choosing the wrong one will cost you months and hundreds of dollars before you realize it.

Chatbase is the no-code, accessible entry point. Free plan, 15+ AI models to choose from, slick interface, credits-based usage. It is built for people who want something live in 20 minutes without touching code.

CustomGPT is the accuracy-first, enterprise-positioned alternative. No free plan. A 97% accuracy claim backed by their own RAG benchmark. Support for 1,400+ document formats. Deeper API access. It is built for teams that care about correctness over convenience.

This comparison breaks down both platforms feature by feature, with real pricing math, honest assessments of where each one falls short, and a clear answer on who should pick which. No affiliate links. No sponsored takes.

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The 60-Second Version

Quick verdict: Chatbase wins on accessibility, model choice, and price of entry. CustomGPT wins on document format support and accuracy claims for enterprise use cases. Neither platform offers built-in lead capture, live chat handoff, or meaningful visitor analytics -- they are AI chatbots and nothing more.

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What Chatbase Does

Chatbase is the most popular "build a custom ChatGPT" tool on the market. It has ridden the wave of ChatGPT adoption better than anyone. The pitch is simple: paste a URL or upload a PDF, pick your AI model, and get a chatbot you can embed on your site. The whole process takes less than 20 minutes if your content is already online.

The Model Marketplace

Chatbase's biggest differentiator is model flexibility. You are not locked into OpenAI. As of early 2026, the platform supports 15+ large language models including GPT-4o, GPT-4o Mini, Claude 3.5 Sonnet, Gemini 1.5 Pro, and several others. You can switch models per chatbot, which means you can test whether Claude gives better answers for your use case than GPT-4o without rebuilding anything.

This matters more than it sounds. Different models have different strengths. Claude tends to be more careful and less prone to hallucination on nuanced topics. GPT-4o is faster and better at following structured output formats. Gemini handles long documents well. Having the option to swap without migration is genuinely useful for teams that care about answer quality.

The Credit System

Here is where Chatbase gets complicated. Pricing is based on "credits," and not all credits are created equal.

On the Hobby plan ($40/month), you get 1,500 credits. But the cost per message depends on which model you use. A GPT-4o Mini response might consume 1 credit. A GPT-4o response consumes significantly more. A Claude 3.5 Sonnet response costs even more than that. The exact ratios are not always clearly documented, and they can change as Chatbase renegotiates API rates with providers.

The practical effect: if you pick the best model for quality (GPT-4o or Claude), your 1,500 credits might only cover a few hundred conversations per month. If you use the cheapest model (GPT-4o Mini), you will get more volume but noticeably worse answers on complex questions.

This credit ambiguity is the single most common complaint in Chatbase user reviews. People sign up expecting 1,500 conversations and discover they have burned through their credits in the first week.

AI Actions

Chatbase has introduced "AI Actions" -- the ability for the chatbot to take actions beyond answering questions. Think: submitting a form, updating a CRM record, or triggering a webhook. In practice, this feature is still early. The actions are configured through a visual builder, and the reliability depends heavily on how well you define the action parameters. For simple use cases like "collect an email and send it to a webhook," it works. For anything involving conditional logic or multi-step workflows, expect to spend time debugging.

The Free Plan

Chatbase offers a free plan with 1 chatbot and 50 credits per month. This is genuinely useful for testing the platform before committing money. You can train a bot on your content, test the quality of responses, and decide if it is worth upgrading. The limitation is that 50 credits barely covers a day of moderate traffic, and the free plan includes Chatbase branding on the widget.

Where Chatbase Falls Short

The biggest gap is everything around the chatbot itself. Chatbase gives you an AI Q&A widget. It does not give you:

• Lead capture: There is no built-in way to collect visitor emails, phone numbers, or company names during a conversation. If someone asks your chatbot a great question and you want to follow up, you have no way to reach them.
• Human handoff: When the AI gets stuck on a question it cannot answer, the conversation ends. There is no escalation path to a human agent. The visitor hits a dead end.
• Visitor analytics: You get basic message counts and conversation logs. You do not get visitor-level data like pages viewed, geographic location, returning visitor tracking, or conversion attribution.
• Proactive messaging: The chatbot waits for visitors to click on it. There is no way to trigger contextual messages based on visitor behavior, time on page, or scroll depth.

For many use cases -- internal knowledge bases, developer documentation, product wikis -- these gaps do not matter. But for businesses using a chatbot as a customer-facing sales or support tool, the absence of lead capture and handoff is a dealbreaker.

Chatbase Pricing in Detail

Add-on costs:

• Branding removal: $39/month
• Custom domain: $59/month
• Extra credits: varies by model tier

The Hobby plan at $40/month looks affordable until you add branding removal ($39) and realize you are at $79/month for what many would consider a basic professional setup. The Standard plan at $150/month is where most real businesses land, plus $39 for branding removal brings it to $189/month.

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What CustomGPT Does

CustomGPT takes a different approach. Where Chatbase optimizes for speed of setup and model variety, CustomGPT optimizes for accuracy and depth of document ingestion.

The Accuracy Claim

CustomGPT's headline number is a 97% accuracy rate on their own RAG benchmark. They have published a comparison showing their retrieval-augmented generation pipeline outperforming generic ChatGPT implementations on factual accuracy when answering questions from uploaded documents.

This claim deserves context. The benchmark is CustomGPT's own -- not an independent third-party evaluation. That does not mean it is wrong, but it means you should treat it as a marketing data point, not a peer-reviewed finding. In practice, CustomGPT's retrieval quality is good. User reviews consistently mention fewer hallucinated answers compared to other platforms, especially on technical and specialized content.

The underlying architecture uses OpenAI's models (primarily GPT-4o) with a proprietary retrieval layer that CustomGPT has tuned specifically for document Q&A. Unlike Chatbase, you cannot swap to Claude or Gemini. You are in OpenAI's ecosystem, and CustomGPT's value is in the retrieval pipeline they have built around it.

Document Format Support

This is CustomGPT's strongest feature. The platform claims support for 1,400+ document formats, including:

• Standard: PDF, DOCX, XLSX, PPTX, CSV, TXT
• Media: MP3, MP4, WAV (audio/video transcription)
• Code: Python, JavaScript, Java, and other source files
• Data: JSON, XML, SQL dumps
• Web: URLs, sitemaps, RSS feeds
• Specialized: EPUB, RTF, ODT, and dozens of others

For organizations sitting on large, heterogeneous document libraries -- think legal firms with decades of case files in mixed formats, or manufacturing companies with technical manuals in proprietary formats -- this breadth is genuinely valuable. You do not need to preprocess everything into PDFs before uploading.

Chatbase supports a more limited set: PDFs, plain text, URLs, and Notion imports cover the main cases but leave gaps for organizations with diverse content libraries.

Enterprise API

CustomGPT's API is more mature than Chatbase's for backend integration. You can create chatbots, manage knowledge bases, send queries, and retrieve conversation history programmatically. The API follows RESTful conventions and includes webhook support for real-time events.

For teams building CustomGPT into a larger product -- embedding it in a SaaS application, connecting it to an internal tool, or using it as a backend service for a mobile app -- the API depth matters. Chatbase has an API too, but it is narrower in scope and primarily designed for chatbot creation and querying rather than deep programmatic management.

No Free Plan

CustomGPT does not offer a free tier. They provide a 7-day free trial on the Standard plan, which gives you enough time to test document ingestion, response quality, and basic integration. After the trial, you are on a paid plan or off the platform.

This is a philosophical choice. CustomGPT positions itself for serious business use cases, not hobby projects. The 7-day trial is enough time to evaluate, but it means you cannot keep a low-traffic bot running indefinitely for free the way you can on Chatbase.

Where CustomGPT Falls Short

CustomGPT shares most of the same gaps as Chatbase when it comes to customer-facing business features:

• No lead capture: Same limitation. Your chatbot answers questions but cannot collect contact information from visitors mid-conversation.
• No human handoff: When the AI reaches its limits, the conversation ends. There is no path to a human agent.
• No visitor analytics: Basic conversation logging exists, but there is no visitor-level analytics, geographic data, or behavioral tracking.
• No proactive messaging: The chatbot is reactive only. No triggered messages, no behavioral targeting.
• No model choice: You are locked into OpenAI's GPT models. If you want to test Claude or Gemini on your content, CustomGPT cannot do that.

Additionally, CustomGPT's pricing jumps sharply between tiers. The Standard plan at $99/month limits you to 10 chatbots and 1,000 queries per month. For any business with real traffic, 1,000 queries gets exhausted quickly. The Premium plan at $499/month gives you 5,000 queries and 100 chatbots, but the 5x price increase for a 5x query increase is a steep step function.

CustomGPT Pricing in Detail

What's included vs. not:

• Branding removal: included on Premium, extra on Standard
• Custom domain: included on Premium, extra on Standard
• API access: included on all paid plans
• Sitemap crawling: included on all paid plans
• Priority support: Premium and Enterprise only

The Standard plan at $99/month with 1,000 queries sounds reasonable until you calculate that a visitor who asks 3 follow-up questions counts as 3-4 queries. A chatbot handling 10-15 conversations per day will burn through 1,000 queries in roughly two weeks. The Premium plan at $499/month is the realistic option for businesses with moderate traffic, but that is a significant jump from $99.

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Chatbase vs CustomGPT: Feature by Feature

AI Accuracy and Response Quality

CustomGPT's 97% RAG benchmark claim is their headline differentiator. In practice, both platforms use similar underlying retrieval techniques -- vector search over chunked documents, combined with a language model for answer generation. The quality difference comes from how each platform chunks documents, how they rank retrieved passages, and how they prompt the model to synthesize answers.

User reviews suggest CustomGPT produces marginally more accurate answers on dense technical content -- legal documents, medical literature, engineering specifications. The retrieval layer seems better tuned for long, complex documents where the relevant passage might be buried deep in a 200-page PDF.

Chatbase performs comparably on shorter, web-based content -- marketing pages, FAQs, product documentation. If your knowledge base is primarily website content rather than uploaded PDFs, the accuracy gap narrows significantly.

Neither platform publishes independent accuracy benchmarks. If accuracy is your primary concern, the honest recommendation is to run the same 20 questions through both platforms during a trial period and compare results on your actual content.

Edge: CustomGPT, with the caveat that the difference is most meaningful on dense, long-form documents.

Model Flexibility

Chatbase supports 15+ models from OpenAI, Anthropic, and Google. You can swap models per chatbot without retraining. This is a genuine advantage for teams that want to optimize for cost (cheaper models for simple FAQs) or quality (Claude for nuanced topics, GPT-4o for structured responses).

CustomGPT is OpenAI-only. You get GPT-4o and GPT-4o Mini. That is it. If OpenAI releases a better model, you benefit automatically. But if a competitor model outperforms GPT on your specific content type, you are stuck.

Edge: Chatbase, clearly. Model flexibility is one of those features that sounds like a nice-to-have until the day you need it.

Pricing Transparency

Neither platform wins an award here, but the problems are different.

Chatbase's credit system obscures the true per-conversation cost. "1,500 credits" means different things depending on which model you use, and the per-model credit costs are not prominently displayed. You need to either do the math yourself or discover your burn rate after a week of usage. Add-ons (branding removal at $39/month, custom domain at $59/month) are listed on the pricing page but easy to overlook when comparing headline prices.

CustomGPT's pricing is simpler per tier -- $99 for 1,000 queries, $499 for 5,000 queries. The query definition is more straightforward than credits. But the 5x jump from Standard to Premium means many businesses find themselves in an uncomfortable middle ground: Standard is not enough, Premium is 5x the cost.

Edge: CustomGPT, slightly. Queries are easier to predict than credits, even if the tier jump is steep.

Ease of Setup

Chatbase is the fastest setup experience in the category. Paste a URL, wait 2-3 minutes for ingestion, test the chatbot, copy an embed code. You can have a working chatbot on your site in under 20 minutes with zero technical knowledge. The interface is clean, the steps are obvious, and the default settings produce reasonable results.

CustomGPT's setup is similar in concept but takes slightly longer. The document upload and processing pipeline is more thorough (parsing 1,400+ formats requires more processing time), and the configuration options are more detailed. Expect 15-30 minutes for a basic setup, longer if you are uploading large document collections.

Both platforms offer no-code embed options (JavaScript snippet or iframe). Both provide Zapier and webhook integrations for connecting to other tools.

Edge: Chatbase. The setup experience is measurably faster and more intuitive.

Customization and Branding

This is where Chatbase's add-on pricing becomes a real issue.

On Chatbase, the chatbot displays "Powered by Chatbase" branding on every plan. Removing it costs $39/month extra. Adding a custom domain costs another $59/month. Both of these are features that most businesses consider table stakes. A chatbot on your company's website with another company's branding looks unprofessional. A chatbot hosted on chatbase.co instead of your own domain breaks trust for privacy-conscious visitors.

On Chatbase's Hobby plan ($40/month), a brandless chatbot on a custom domain costs $40 + $39 + $59 = $138/month. That is 3.5x the headline price for what most buyers would consider the minimum viable configuration.

CustomGPT includes branding removal and custom domains on the Premium plan ($499/month) but charges extra for them on the Standard plan ($99/month). The Standard plan add-on costs are not always clearly listed, which makes it hard to calculate the true cost at that tier.

Both platforms let you customize colors, greeting messages, and chatbot personality through system prompts. Chatbase has a slight edge on visual customization with more granular color and positioning options. CustomGPT focuses more on behavior customization -- conversation starters, citation formatting, and response length controls.

Edge: Neither. Chatbase charges too much for branding removal. CustomGPT gates it behind the $499 tier. Both make you pay extra for what should be standard.

Analytics and Reporting

Both platforms offer basic conversation analytics: message counts, conversation logs, popular questions, and unanswered question tracking. Neither offers anything approaching serious business analytics.

What you get:

• Conversation logs with timestamps
• Message volume over time
• Most common questions
• Unanswered or low-confidence questions
• Basic usage metrics (credits consumed or queries used)

What you do not get from either:

• Visitor-level analytics (who is asking, from where, on which page)
• Conversion tracking (did the conversation lead to a signup, purchase, or form submission)
• Satisfaction scores or CSAT ratings
• A/B testing of different chatbot configurations
• Behavioral analytics (scroll depth, time on page, engagement patterns)

For teams using these chatbots as internal tools or documentation assistants, the basic analytics are sufficient. For teams using them as customer-facing business tools, the analytics gap means you are flying blind on whether the chatbot is actually helping your business or just answering questions into the void.

Edge: Tied. Both offer the same level of basic analytics.

Lead Capture and Contact Collection

Neither Chatbase nor CustomGPT has built-in lead capture.

This deserves emphasis because it is the single biggest gap for businesses using either platform as a customer-facing tool. When a visitor asks your chatbot a question about pricing, or requests a demo, or wants to speak with someone -- the conversation ends when the AI finishes responding. You have no email. You have no phone number. You have no way to follow up.

Both platforms let you build workarounds. You can instruct the chatbot via system prompts to ask for an email address. You can use AI Actions (Chatbase) or API webhooks (CustomGPT) to send collected information somewhere. But these are workarounds, not features. They are brittle, inconsistent, and add complexity.

For internal knowledge base use cases, this does not matter. For customer-facing chatbots where the goal is partly to generate leads, the lack of native lead capture is a significant limitation.

Edge: Neither. Both have the same gap.

Human Handoff and Escalation

Neither platform offers live chat or human handoff.

When the AI cannot answer a question -- because the topic is not in the knowledge base, because the question requires human judgment, or because the visitor explicitly asks for a person -- both Chatbase and CustomGPT hit a dead end. The chatbot says some version of "I don't have information about that" and the conversation stalls.

There is no way to route the conversation to a human agent. There is no live chat fallback. There is no email escalation. There is no ticket creation.

For documentation chatbots and internal tools, this is acceptable. For customer support and sales chatbots, it means the moments when a human touch would be most valuable -- complex questions, frustrated visitors, high-intent buyers -- are exactly the moments both platforms fail.

Edge: Neither. Same gap on both sides.

Integrations

Chatbase offers integrations with Slack, WhatsApp, Zapier, WordPress, Shopify, and several others. The Zapier integration is the most useful for most businesses, as it lets you connect chatbot events to nearly any other tool. There is also a WordPress plugin for one-click embedding.

CustomGPT offers integrations with Zapier, Slack, and a broader API for custom integrations. The API is more comprehensive than Chatbase's, which makes programmatic integration easier for teams with developers. CustomGPT also supports embedding via iframe, JavaScript snippet, and API -- giving more flexibility for complex embedding scenarios.

Both platforms support Zapier, which is the great equalizer for non-technical teams. If the integration you need exists as a Zapier app, both platforms can connect to it.

Edge: Chatbase for no-code users (more out-of-the-box integrations). CustomGPT for developer teams (deeper API).

Security and Compliance

CustomGPT positions more heavily on enterprise security. They offer SOC 2 Type II compliance, GDPR support, data encryption at rest and in transit, and the ability to choose your data region. For regulated industries and enterprise procurement processes, these certifications matter.

Chatbase offers standard security measures -- HTTPS, encrypted storage, GDPR compliance -- but does not publish SOC 2 certification or offer the same level of compliance documentation. For businesses subject to enterprise security reviews, this can be a blocking issue during vendor evaluation.

Both platforms process data through OpenAI's API (and in Chatbase's case, through Anthropic and Google's APIs as well), which means your document content is sent to third-party model providers. Neither platform runs models locally. If your data cannot leave your infrastructure under any circumstances, neither platform works.

Edge: CustomGPT. Stronger compliance posture for enterprise buyers.

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The Cost Reality

Headline pricing is misleading for both platforms. Here is what you actually pay for a business-grade setup.

Chatbase: The Add-On Tax

The Hobby plan at $40/month looks like a bargain. But a business-grade chatbot needs branding removal (minimum professional standard) and enough credits to handle real traffic.

Chatbase Hobby (realistic): $40 (base) + $39 (branding removal) = $79/month for 1,500 credits with no Chatbase logo. If you want a custom domain, add $59 for $138/month.

Chatbase Standard (realistic): $150 (base) + $39 (branding removal) = $189/month for 10,000 credits. Custom domain pushes it to $248/month.

And the credit math still applies. On the Standard plan with 10,000 credits, if you use GPT-4o for quality answers, you are looking at perhaps 2,000-3,000 actual conversations per month. That is $189 divided by 2,500 conversations = roughly $0.076 per conversation, which is reasonable. But if you assumed 10,000 conversations and budgeted accordingly, you will overshoot by month 2.

CustomGPT: The Tier Jump

CustomGPT's Standard plan at $99/month gives you 1,000 queries. For a chatbot handling 15-20 conversations per day (a modest traffic level for any business with a website), each conversation averaging 3-4 queries, you burn through 1,000 queries in under two weeks.

The only real option is the Premium plan at $499/month for 5,000 queries. That puts your per-query cost at roughly $0.10, which is not unreasonable for high-quality AI responses. But $499/month is a significant line item for a tool that only does one thing (answer questions from your documents).

If you need more than 5,000 queries, you are in enterprise pricing territory -- custom quotes, annual contracts, and sales calls.

Side by Side

That last row illustrates the pricing gap. Canary's Growth plan at $49/month includes 1,000 conversations, lead capture, human handoff, visitor analytics, and branding removal. No add-ons. No credit math. No $39 surcharge to remove someone else's logo from your website. The free tier covers 50 conversations with the same feature set.

That is not to say it replaces Chatbase or CustomGPT for every use case. If you need 15 AI model options, Chatbase is the better choice. If you need 1,400+ document formats and SOC 2 compliance, CustomGPT is the better choice. But for businesses that want an AI chatbot that also captures leads, hands off to humans, and provides real visitor analytics, neither Chatbase nor CustomGPT covers those bases at any price.

Annual Pricing Considerations

Both platforms offer annual billing discounts. Chatbase typically discounts 15-20% on annual plans. CustomGPT offers similar savings. These discounts are worth calculating:

• Chatbase Standard annual: roughly $150/month (discounted) + $39/month branding = still $189/month effective, but committed for a year
• CustomGPT Premium annual: roughly $400/month (discounted), saving roughly $1,200/year vs. monthly billing

Annual billing makes sense if you have validated that the platform works for your use case during a monthly trial period. Do not commit to annual billing before you have run the chatbot for at least 30 days and confirmed that your credit/query usage fits within the plan limits.

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Who Should Choose Chatbase

Chatbase is the right choice if you match most of these criteria:

• You want speed above everything else. You need a chatbot live on your site today, not next week. Chatbase's setup experience is the fastest in the market.
• You want to experiment with multiple AI models. The ability to swap between GPT-4o, Claude, and Gemini without rebuilding your chatbot is valuable for teams optimizing answer quality.
• Your use case is internal or documentation-focused. If the chatbot is a knowledge base assistant for your team, a documentation search tool, or an internal FAQ bot, the absence of lead capture and handoff does not matter.
• Budget flexibility matters. The free plan lets you test before buying. The Hobby plan at $40/month (before add-ons) is the lowest entry point of any serious AI chatbot builder.
• You are a developer or agency prototyping. Chatbase is excellent for quickly spinning up proof-of-concept chatbots for client demos or internal evaluation.

Chatbase is not the right choice if you need your chatbot to capture visitor contact information, hand off conversations to human agents, or provide business-level analytics. Those features simply do not exist on the platform.

Who Should Choose CustomGPT

CustomGPT is the right choice if you match most of these criteria:

• Accuracy is your top priority. If your chatbot answers questions about legal compliance, medical information, engineering specifications, or any domain where a wrong answer has real consequences, CustomGPT's retrieval accuracy is worth the premium.
• Your knowledge base is large and diverse. If you have thousands of documents in mixed formats -- PDFs, Word docs, PowerPoint decks, spreadsheets, audio recordings -- CustomGPT's 1,400+ format support saves you from a preprocessing nightmare.
• You need enterprise compliance. SOC 2 Type II, data residency controls, and enterprise security documentation matter for your procurement process.
• You are building a product on top of the chatbot. CustomGPT's API is deep enough to use as a backend for custom applications, not just as an embeddable widget.
• You have the budget for Premium. The Standard plan at $99/month is a trial tier in practice. The Premium plan at $499/month is where the product delivers on its promises.

CustomGPT is not the right choice if you are cost-sensitive, want model flexibility, or need customer-facing features like lead capture and handoff. The $499/month price point also makes it hard to justify for small businesses or solopreneurs.

When Neither Chatbase Nor CustomGPT Is Enough

Both Chatbase and CustomGPT are pure-play "train AI on your data" tools. They do one thing -- answer questions from your knowledge base -- and they do it well. But for many businesses, the chatbot on your website needs to do more than answer questions.

Think about what happens in a real customer interaction:

1. A visitor lands on your pricing page and asks the chatbot a question about your enterprise plan
2. The AI gives a solid answer from your docs
3. The visitor has a follow-up question that is too specific for the knowledge base
4. The visitor wants to talk to someone
5. You want to capture their email so sales can follow up

Steps 1 and 2 work on both platforms. Steps 3, 4, and 5 fail on both. The conversation ends, the lead is lost, and you never knew it happened because neither platform tracks visitor behavior.

If your chatbot is a documentation tool, steps 3-5 do not apply. Use Chatbase or CustomGPT and be happy.

If your chatbot is a business tool -- customer support, sales, lead generation -- you need a platform built for customer interactions, not just AI Q&A. Tools like Canary exist for exactly this gap: AI trained on your content, with lead capture, human handoff, and visitor analytics included at every tier. Plans start free, and the $49/month Growth plan includes everything both Chatbase and CustomGPT charge extra for.

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Further Reading

• Full Chatbase Alternative Comparison -- a deeper look at how the platforms differ on multi-tenant support, lead capture, and pricing
• Full CustomGPT Alternative Comparison -- detailed feature comparison including API depth and document format support
• How to Train a Chatbot on Your Website (2026 Guide) -- if you have decided on a platform and want the step-by-step setup process
• AI Chatbot Pricing in 2026: What It Actually Costs -- a broader look at chatbot pricing across 7+ platforms

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Frequently Asked Questions