Heeya vs Crisp: Which AI Chatbot Wins for SMBs in 2026?

Platform Overview

Crisp — Europe's established conversational helpdesk

Crisp was founded in 2015 in Nantes, France. Over the past decade it has become one of the leading European platforms for live chat and multichannel helpdesk for startups and SMBs. The platform combines a shared inbox, a chat widget, a knowledge base, email campaigns, and — since 2022 — an AI layer (MagicReply) that suggests knowledge base articles to visitors during a conversation.

Crisp positions itself as a unified platform for human-led customer support, with AI as an assistant layer rather than the primary engine. Its advantages: genuine product maturity, a strong integration ecosystem, per-workspace pricing (not per agent), and a solid reputation among European support teams.

Heeya — autonomous AI agent with native RAG

Heeya is a SaaS platform purpose-built for creating AI conversational agents powered by RAG (Retrieval-Augmented Generation). The positioning is fundamentally different: AI is not an add-on feature here — it is the entire product. Heeya lets you connect an agent to your documents (PDF, DOCX, PPTX, TXT, web pages) and deploy a chatbot that answers user questions accurately, around the clock, without human intervention.

The target: SMBs and lean teams that want to automate repetitive questions — support FAQs, pricing, onboarding, product specs — without hiring a dedicated support team. For teams evaluating whether to build or buy their AI chatbot, our guide on custom AI chatbot: build vs buy in 2026 walks through the decision criteria. Heeya is EU-hosted, GDPR-native, and deployable in under an hour via a single JavaScript snippet.

Side-by-Side Comparison Table

AI Capabilities: RAG vs Knowledge Base Suggestions

This is where the two products diverge most fundamentally. Understanding this difference should come before evaluating any other criterion.

How Crisp's AI works

Crisp's AI — called MagicReply — operates on a knowledge base article suggestion model. When a visitor asks a question, the system identifies relevant articles from Crisp's internal knowledge base and surfaces them. If no matching article exists, the conversation escalates to a human agent.

This approach has a clear virtue: it is predictable and controllable. Human agents stay in the loop, and the risk of an incorrect AI-generated response is low because the AI is redirecting, not generating. The limitation is equally clear: the AI cannot answer questions that no article covers. If your documentation has gaps, the AI goes silent. And articles must be written and maintained manually inside Crisp — you cannot upload your own PDFs or connect an internal knowledge base.

How Heeya's AI works

Heeya is built on a RAG (Retrieval-Augmented Generation) architecture. You upload your documents (PDF, DOCX, PPTX, TXT) or provide URLs to crawl. That content is chunked, converted into semantic vector embeddings, and stored in a vector database (Qdrant). When a user asks a question, the agent:

1. Rewrites the question into a standalone query, accounting for conversation context,
2. Retrieves the most semantically relevant passages from the vector store,
3. Generates a grounded, contextual response via an LLM using those passages,
4. Cites sources where appropriate.

The result: the agent can answer precise questions about your products, pricing, procedures, or terms of service — in natural language, without you having written a dedicated article for every possible question. Response quality depends directly on the quality of the documents provided.

What about hallucinations?

A legitimate concern. A RAG agent can produce an incorrect response if the document base contains contradictory information or if the question falls entirely outside the covered scope. Heeya reduces this risk through two mechanisms: the system explicitly tells users when it cannot find an answer in the knowledge base rather than fabricating one, and the system prompt lets you strictly define the agent's scope and behavior.

For a deeper look at what EU AI Act compliance means for customer-facing AI systems, see our guide on RAG for business, which covers data grounding, traceability, and accuracy requirements.

Live Chat and Helpdesk: Where Crisp Leads

On this dimension, Crisp has no peer in this comparison. It has been building human-agent tooling for a decade, and it shows.

What Crisp offers for support teams

• Shared inbox: all channels (web chat, email, WhatsApp, Instagram, Twitter/X, Telegram) unified in one interface, with conversation assignment to agents or teams.
• Routing and assignment rules: automatic routing to the right agent or team based on configurable conditions.
• Saved replies: a library of pre-written responses to common questions for faster human replies.
• Internal notes: agents can collaborate on a conversation without the customer seeing the exchange.
• Contact history: enriched contact profiles with full conversation history, pages visited, and CRM data.
• Proactive campaigns: automated message sequences triggered by user behavior (onboarding, re-engagement, NPS).

Heeya does not include human live chat

Heeya has no human-agent interface. The tool is designed so that the AI responds autonomously. If a user wants to speak to a person, Heeya's agent can collect their contact details via an integrated form and trigger a notification — but there is no real-time handoff to a live agent.

This is an intentional architectural choice, not a hidden limitation. Heeya is built for organizations that want to reduce the load on human support, not for those managing a real-time support team. For businesses that need both, running Heeya for automated FAQ responses alongside a ticketing tool (Intercom, Freshdesk, or Crisp) is a viable configuration.

Multichannel Coverage

Crisp's channel coverage

Crisp covers a broad set of channels: web chat widget, email, WhatsApp Business, Instagram, Facebook Messenger, Twitter/X, and Telegram. All channels feed into the shared inbox. This "omnichannel hub" positioning is a genuine differentiator for support teams handling customer contact across platforms.

Heeya's channel coverage

Heeya is currently focused on the embedded web chat widget (JavaScript snippet, compatible with any CMS or framework), with external integrations via API. WhatsApp and additional messaging channel integrations are on the roadmap. For the primary use cases today — automating support on a website, customer portal, or SaaS application — web coverage is sufficient.

If your core need is managing high-volume WhatsApp Business conversations with human agents, Crisp has a clear lead. If your need is an accurate AI agent on your website or app, Heeya is operational today.

Widget Customization and Branding

Heeya — personalization centered on the AI agent's identity

Heeya lets you configure the agent's name, personality via the system prompt, avatar, widget colors, and welcome message. The goal is an agent that feels consistent with your brand — not a generic chatbot. On paid plans, the Heeya branding is not visible in the widget.

Crisp — customization oriented around a support team

Crisp offers visual widget customization (colors, avatar, welcome message), but the logic is different: the agents responding are real humans with their actual names and photos. The customization is that of a support team, not an AI persona. On the free plan, the Crisp logo is visible; it disappears from the Mini plan ($25/month) onward.

CRM and Third-Party Integrations

Crisp — a mature, extensive ecosystem

With a decade of development, Crisp has built a substantial integration catalog: HubSpot, Salesforce, Slack, Zapier, Pipedrive, Shopify, WordPress, Segment, Stripe, and dozens more via Zapier and Make. For teams already running an established tool stack, this breadth is a real advantage.

For e-commerce teams, Crisp's Shopify integration surfaces order status directly in the conversation window — a genuine time-saver for human support agents handling order inquiries.

Heeya — API-first with growing native connectors

Heeya provides an open API for integrating the agent into existing workflows. Native integrations include webhooks to trigger actions in CRMs or third-party tools when a form is submitted or a conversation ends. HubSpot and Salesforce native connectors are available on higher-tier plans.

The integration catalog is smaller than Crisp's today, but covers the core needs of most SMBs. For teams using HubSpot or Salesforce as their CRM, the native connectors handle the most common data flows — contact creation, lead scoring, and conversation logging — without requiring a Zapier intermediary.

GDPR and Data Residency

A shared advantage over US-headquartered alternatives

Both platforms share a structural advantage over US-based competitors: their data is hosted in Europe. Crisp is headquartered and hosted in France. Heeya is also EU-hosted. With the EU AI Act fully in force in 2026 and growing DPO scrutiny around cross-border data transfers — particularly in healthcare, education, legal, and financial services — this is an increasingly hard requirement for European businesses.

What this means for your compliance posture

With Heeya, the documents you upload (product sheets, internal documentation, terms of service) remain stored within EU infrastructure. Conversations with your users do not route through US servers. A Data Processing Agreement (DPA) is provided on all paid plans and is ready for DPO review.

Crisp offers the same hosting guarantees. One nuance: if you enable certain third-party integrations (Zapier, for example, or US-headquartered CRMs), data may flow outside the EU depending on configuration — a point worth verifying with your DPO if you operate in a regulated sector.

Heeya and Crisp both support EU AI Act compliance at the data residency level. A RAG system grounded in your own verified documents also has a structural advantage for AI Act transparency requirements — answers are traceable to specific source passages, not generated from opaque training data. For a practical checklist of what this means for your deployment, see our guide on EU AI Act compliance for chatbots in 2026.

Pricing Breakdown 2026

Crisp pricing

Crisp bills per workspace, not per agent — an advantage for larger teams. As of May 2026, the plans are:

• Free (Basic): 2 agents, limited features, Crisp branding visible, no advanced AI.
• Mini — $25/month: unlimited agents, branding removed, knowledge base, MagicReply (article suggestion AI), email campaigns.
• Unlimited — $95/month: all features, WhatsApp, advanced CRM integrations, behavioral analytics.

The Mini plan at $25/month is genuinely competitive for small teams. Unlimited at $95/month holds up well against Intercom or Zendesk at the SMB level.

Heeya pricing

Heeya uses a different pricing logic: plans are based on the number of AI agents deployed and conversation volume, with a flat monthly fee — no per-resolution variable cost. Check the current Heeya pricing page for up-to-date plan details, as they evolve alongside new features. A free plan with usage limits lets you evaluate the RAG technology before committing.

How to compare them fairly

A direct price-to-price comparison is misleading because the two tools do not cover the same functional ground. The more useful question: what is the cost of not automating the 300 repetitive questions your team handles every week? Heeya is an investment in reducing human support volume. Crisp is an investment in making human support more effective. They optimize for different outcomes.

For a detailed breakdown of what AI chatbot tooling actually costs across deployment models, see how much does an AI chatbot cost in 2026.

When to Pick Heeya, When to Pick Crisp

Choose Heeya if:

• You receive a high volume of repetitive questions (FAQs, pricing, policies, onboarding) and want to automate them without writing hundreds of knowledge base articles.
• You have existing documentation (PDFs, internal docs, a product website) that you want customers or prospects to be able to query directly.
• Your team is lean and cannot staff dedicated support coverage around the clock.
• You operate in a sector where answer accuracy and source traceability matter: healthcare, HR, legal, finance, SaaS.
• You want to qualify inbound leads through a conversational agent that collects information before passing prospects to your sales team.
• You need EU AI Act and GDPR compliance with a clear data processing trail.

Choose Crisp if:

• You have a support team of 2 to 20 human agents handling conversations in real time.
• Your support requires ticket management, routing rules, and agent collaboration on shared conversations.
• You run active multichannel support (WhatsApp, Instagram, Messenger) with human agents responding.
• AI for you is a reply-drafting assistant for human agents — not a fully autonomous resolver.
• You need proactive messaging campaigns (onboarding sequences, NPS surveys, re-engagement) alongside reactive support.

What if you need both?

Some organizations need an autonomous AI agent for repetitive questions and a human live chat for complex cases. Two practical paths: run Heeya for automated responses on your public site and Crisp for human-agent support on existing customer channels (two separate widgets in different contexts), or wait for Heeya's human handoff feature, which is on the product roadmap. SMBs specifically looking to overhaul their customer support with AI will find practical guidance in our overview of how to transform SMB customer support with AI.

Migrating from Crisp to Heeya

If you are using Crisp today and considering adding Heeya to your stack — or replacing Crisp for the AI-first use case — here is a practical sequence.

Step 1 — Export your Crisp knowledge base

Crisp allows you to export knowledge base articles in HTML format or via its API. Retrieve that content — it will form a base layer of your Heeya document set. Well-structured Crisp articles are directly usable by Heeya's RAG system. If some articles are thin or fragmented, consolidating them before upload improves retrieval quality.

Step 2 — Identify your full knowledge source inventory

List every document your support agents reference when answering customers: product sheets, pricing documents, terms of service, user guides, internal procedures. These files — often living in Google Drive, Notion, or Confluence — are directly uploadable into Heeya (PDF, DOCX, PPTX, TXT).

Step 3 — Configure and test your Heeya agent

Create your Heeya agent, upload your documents, write the system prompt (defining the agent's personality and scope), and run it against the 20 to 30 most common questions you receive. Use the gaps to identify missing documentation. Initial setup typically takes 1 to 3 business days depending on documentation volume.

Step 4 — Run in parallel during transition

For the first two to four weeks, run Heeya in production alongside Crisp. Review Heeya conversation logs: which questions did the agent fail to answer? Fill those gaps in the document base. After this period, you will have a clear view of your actual automation rate and can make an informed decision about whether to scale down or cancel Crisp.

Step 5 — Swap the JavaScript snippet

Replace the Crisp snippet in your codebase or CMS with the Heeya snippet. If you use Google Tag Manager, the change takes under ten minutes. If you manage the script directly in a template or HTML file, it is a one-line replacement.

FAQ — Heeya vs Crisp

Final Verdict — Heeya vs Crisp

The conclusion from this comparison is clear: Heeya and Crisp are not direct competitors. They solve different problems for different types of organizations.

Crisp excels for support teams of 2 to 20 human agents who need a unified multichannel inbox, mature ticket management, and proactive messaging — at a per-workspace price that is hard to beat at the SMB level. AI in Crisp is an assistant for humans, not a replacement.

Heeya excels for organizations that want a fully autonomous AI agent, capable of answering accurately from their own documents, without mobilizing a human team around the clock. RAG is the foundation of the product, not a bolt-on. The positioning is automation-first, not human-assistance-first.

The right question is not "which is better?" but "which one matches what you actually need?" If the priority is a high-performing human support team — choose Crisp. If the priority is an AI agent that works continuously and scales without headcount — choose Heeya. And if you need both, they can coexist in the same stack.

Further Reading

• Best Intercom Alternatives for SMBs in 2026
• Best AI Chatbot Platforms in 2026: Full Comparison
• How Much Does an AI Chatbot Cost in 2026?
• What Is RAG? A Business Guide to Retrieval-Augmented Generation