1. Home 
  2. > Blogs 
  3. > Practical Guide

10 Best AI Chat Agents for Business: Pros, Cons & Pricing

Román Filgueira

·

13 min read
10 Best AI Chat Agents for Business: Pros, Cons & Pricing

TL;DR - What are the best AI chat agents?

The best AI chat agent depends on your operational needs, whether you’re scaling B2C sales, running marketing funnels, managing social commerce or automating support.

  • B2C sales-focused AI agents – respond.io, Zendesk, Kommo.

    • Built for high-volume, revenue-driven messaging with CRM-aware automation, omnichannel routing and lifecycle tracking.

    • Winner: Respond.io - Strongest operational AI layer for qualification, routing and lifecycle execution across multiple channels and teams.

  • Marketing & growth AI agents – ManyChat, Chatfuel

    • Best for Instagram and Messenger ad funnels, comment-to-DM automation and fast campaign execution.

    • Winner: ManyChat - Most optimized for campaign-driven growth automation and native social funnel deployment.

  • Commerce & inbox-based AI agents – Pancake, SleekFlow

    • Designed for WhatsApp-first sales and social commerce teams managing chat-to-order workflows.

    • Winner: Pancake - Purpose-built for high-speed social commerce with catalog-driven chat selling.

  • Customer support AI agents – Zendesk, Freshchat, Zenvia, Trengo

    • Strongest for helpdesk-driven automation, SLA monitoring and ticket-based support operations.

    • Winner: Zendesk - Deepest ticketing infrastructure and SLA governance for structured support teams.

When customer conversations drive sales, answering quickly is only part of the job. Your team also needs to identify serious buyers, capture their requirements and follow up before they lose interest. If your current tool leaves those steps to staff or splits them across disconnected systems, more inquiries can mean more missed sales and bookings.

Nowadays, businesses expect AI Agents to do more than just answer FAQs. They are expected to understand intent, route conversations, update records and support teams.

This guide is for mid-market B2C businesses that have outgrown their current chatbot or messaging setup. You’ll see which tools can help your team qualify customers, manage sales conversations and handle support, along with the trade-offs and monthly costs to consider.

How should you compare AI chat agents for business?

To compare AI chat agents, evaluate whether they can move a customer from an inquiry to the next sales or service step. Look beyond the wording of a reply: check the information saved, the action completed and the context handed to your team.

An AI chat agent uses business information and conversation context to respond and carry out configured actions. A rule-based chatbot follows predefined paths, while an AI assistant helps a human write or summarize messages. A platform may include all three, so establish which work its AI Agent can perform itself.

Evaluation criterion

What a good platform should demonstrate

Accurate answers from business knowledge

Answers product, service and policy questions from approved sources; asks for missing information instead of inventing it

Lead qualification and saved customer details

Collects requirements such as budget, location and preferred appointment time, then saves them in usable customer fields

Customer records and CRM integration

Sends qualification details to the correct record and supports the specific lookups or updates your team needs

Actions in order or booking systems

Retrieves current information or completes a configured action, with the result recorded in the connected system

Routing and human handoff

Assigns the customer to the appropriate team based on their request, language or qualification, with conversation history and collected details

AI coverage across customer channels

Supports the required AI actions on WhatsApp, Instagram, Messenger or other channels—not just a connection to those channels

Lifecycle tracking and follow-up workflows

Shows where the customer is in the buying journey and supports the next follow-up step without staff rebuilding the context

Reporting tied to sales and service outcomes

Shows qualification, response times, handoffs and conversions where supported, so your team can identify where inquiries stall

Reliability, team access and language support

Provides high uptime, permissions and support, and handles the languages and conversation volume your customers bring

Pricing and behavior at usage limits

Explains charges for contacts, users and AI usage, including whether responses continue or pause when an allowance is exhausted

To see how a platform would handle your customers, ask the vendor to demonstrate a familiar conversation. For example, a parent asks about tutoring, shares the student’s age and curriculum, then changes the preferred schedule and asks for an advisor. The AI Agent should update the details and pass them to the advisor, so the parent doesn’t have to repeat everything.

For a retailer, use an order-status lookup. For an appointment business, check whether the booking is recorded in the booking system. These are illustrative trial scenarios: the useful evidence is what the platform completes, not how polished its answer sounds.

Top 10 best AI chat agents for businesses — Quick comparison

This comparison focuses on mid-tier paid plans for growing B2C teams. Prices use monthly billing wherever available, so you can compare them with respond.io’s monthly subscription. Kommo requires at least six months upfront, while Botcake charges by usage. For Zenvia, we show the Expert plan and its starting channel package. AI and channel fees are noted below.

Tool

Who it is best for

What it is mainly used for

Plan and pricing

Respond.io

Mid-market B2C businesses growing revenue through customer conversations

AI qualification, sales routing, Lifecycle tracking and follow-up across channels

Growth: US$199/month, billed monthly; 10 users

Kommo

Sales teams wanting messaging inside a CRM

Customer chats, lead records and pipeline management

Advanced: US$35/user/month; minimum six-month subscription

Wati / Astra AI

Businesses prioritizing WhatsApp and website inquiries

AI qualification, FAQ replies and handoff through Wati

Astra Pro: US$99/month, billed monthly; Wati and channel charges may apply

Manychat

Teams running social messaging campaigns

Comment and DM automation, AI Steps and Instagram AI features

Business: US$99/month, billed monthly; regional and account availability varies

Chatfuel

Businesses needing social messaging automation

Replies, lead capture and configured booking conversations

Business: US$20/month, billed monthly; US$20 in monthly AI credits

Pancake / Botcake

Retailers connecting social messages with orders

Product information and configured Pancake POS order workflows

Charges for Botcake Pro start at US$30 per 3 million automated messages; OpenAI usage and Pancake tools extra

SleekFlow

Teams centralizing multichannel messages

Messaging, team assignment and configured integrations

Premium: US$349/month, billed monthly; WhatsApp hosting and usage extra

Freshchat

Support teams using Freshworks

AI support, routing and human collaboration

Pro: US$59/human user/month, billed monthly; Freddy AI extra

Zenvia

Businesses seeking customer communication in Latin America

Messaging, AI responses and customer-service workflows

Customer Cloud Expert: from US$410/month, billed monthly; US$421 setup fee

Zendesk

Teams managing support through tickets

AI support resolutions and structured escalation

Suite Professional: US$149/human user/month, billed monthly; additional AI resolutions extra

Top 10 best AI chat agents for businesses — Detailed comparison

Each tool has a different role in your customer conversations. If your customers ask about products, courses or appointments before buying, look for AI that can collect their requirements and help your team move the conversation forward. Here’s what each platform offers, where it fits and what you’ll pay.

1. Respond.io — For B2C sales conversations that drive revenue

Respond.io is a customer conversation platform for mid-market B2C businesses whose customers chat before buying or booking. It connects AI Agents, human teams and customer data across channels, so inquiries can move through qualification, sales follow-up and post-purchase support in the same platform.

Best for

Businesses receiving high volumes of sales inquiries through WhatsApp, Instagram, Messenger and other channels, where the team still spends too much time qualifying customers, recording details and finding the right person to help.

Pros

  • AI Agents answer product questions, collect requirements and save customer details before a salesperson joins.

  • Manage WhatsApp, Instagram, TikTok, Messenger, SMS, email, web chat and supported calls together, so your team can handle customer conversations without switching tools.

  • Assign conversations to the right person or team with the chat history and qualification details available in the same inbox.

  • Update customer stages and help the team identify inquiries that need attention or follow-up.

  • Build structured qualification, routing and follow-up processes, then let AI Agents trigger the appropriate workflow. Workflows can also add collected details to Google Sheets.

  • Native HubSpot and Salesforce connections let your team view CRM information during conversations. Use n8n, Zapier or Make for configured data updates and automation across other tools. On eligible plans, chat AI Agents can use HTTP requests for configured external lookups and actions.

  • Review response times, campaign performance and conversions to understand where customer conversations produce results or stall.

  • The MCP connector lets authorized teams create and update AI Agents, improve prompts and configure their actions using natural-language instructions.

  • Copilot helps your team create, test and improve AI Agents inside respond.io. Get 24/7 customer support when you need help, with an onboarding program available as an add-on for guided migration and setup.

  • Respond.io publishes 99.999% uptime to support high-volume customer conversations.

Cons

  • Advanced workflows and AI configuration have a learning curve. Copilot and 24/7 support help teams get set up, but your business still needs clear qualification and handoff rules.

  • It costs more than a basic chatbot. The investment makes more sense when missed inquiries, manual qualification or fragmented follow-up affect sales.

Pricing

Growth starts at US$199/month, billed monthly, and includes 10 users, chat AI Agents, workflow automation and advanced reports. Voice AI Agents are also available on Advanced, starting at US$349/month, billed monthly, if your team needs to extend the setup to calls.

Customer sentiment and platform rating

Users highlight respond.io’s centralized customer conversations, automation capabilities and helpful support. Teams value managing several channels without moving between disconnected tools. Some reviewers raise concerns about pricing or missing features, making workflow fit important when assessing the investment.

Platform rating: G2 — 4.8/5.

2. Kommo — Messaging-first CRM

Kommo, previously amoCRM, combines customer messaging with lead records and sales pipelines.

Best for

Consumer-facing sales teams that want customer conversations managed directly inside their CRM.

Pros

  • Customer chats and lead records in one workspace.

  • Pipeline automation for sales follow-up.

  • AI Agents available on the Advanced plan.

Cons

  • Adopting it may mean changing how your team uses an existing CRM.

  • Advanced limits the number of AI Agents and connected channels; larger configurations may require Pro.

  • A six-month minimum subscription reduces flexibility compared with monthly contracts.

Pricing

Advanced costs US$35/user/month with a six-month minimum. It includes up to three AI Agents and 1,250 AI credits per paid seat/month. Extra seats increase the allowance; additional credit packages are available. Unused credits do not roll over.

Customer sentiment and platform rating

Users highlight ease of use, automation and integrations. Some mention onboarding and support difficulties or dissatisfaction with pricing changes.

Platform rating: G2 — 4.2/5.

For a closer comparison, read our Kommo alternative guide.

3. Wati’s Astra AI — For WhatsApp and website qualification

Wati focuses on customer messaging, while its Astra offering handles AI qualification and replies on WhatsApp and websites.

Best for

Businesses that rely on WhatsApp for customer inquiries and want AI qualification connected to Wati’s team inbox.

Pros

  • WhatsApp and website AI responses.

  • FAQ handling and conversational lead capture.

  • Human assignment through the Wati inbox.

  • Pro integrations for HubSpot lead syncing and Slack alerts.

Cons

  • Astra’s listed chat channels are WhatsApp and web; confirm coverage if other channels drive your sales.

  • Wati adds a markup to WhatsApp messaging fees.

  • Wati lists Astra as an add-on priced separately from its platform subscription.

Pricing

Astra Pro costs US$99/month, billed monthly, for up to three AI Agents, three team members and 5,000 monthly credits. Extra credits cost US$20 per 1,000. Business costs US$399/month, billed monthly, for higher allowances and API actions. Include any required Wati subscription and WhatsApp charges when budgeting for your setup.

Customer sentiment and platform rating

Wati reviewers highlight ease of use, WhatsApp integration and automation. Pricing and missing features also appear in feedback.

Platform rating: G2 — 4.6/5 for Wati overall; Astra does not have a separate rating included here.

For a closer comparison, read our Wati vs. respond.io guide.

4. Manychat — For turning social engagement into conversations

Manychat is a social messaging automation platform used for comment, DM and campaign flows.

Best for

Businesses running promotions and lead-capture campaigns through Instagram, Messenger and other supported channels where human agent involvement is minimal.

Pros

  • Visual automation builder for social messaging flows.

  • Comment and DM automation for campaigns.

  • AI Steps for collecting information and generating contextual replies.

  • Team Inbox and assignment capabilities on Business.

Cons

  • Autonomous AI Replies, Comments and Goals are documented as Instagram-only and in beta.

  • Active-contact overages and additional Inbox seats increase cost.

Pricing

Business costs US$99/month, billed monthly, with 7,500 active contacts, five users and three Inbox seats. Additional contacts and Inbox seats cost extra. The newer pricing model’s availability varies by region and account.

Customer sentiment and platform rating

Users praise ease of use and automation. Some report limitations in features, support responsiveness and pricing.

Platform rating: G2 — 4.5/5.

For a closer comparison, read our Manychat alternative guide.

5. Chatfuel — For social messaging automation

Chatfuel is a no-code messaging automation product with AI responses and lead-capture capabilities.

Best for

Businesses needing social messaging flows for FAQs, promotions and customer inquiries with minimal human agent involvement, similar to Manychat.

Pros

  • No-code setup for messaging automation.

  • Comment replies and lead qualification.

  • WhatsApp meeting booking and CRM sync listed in its Business offering.

Cons

  • AI replies pause when the documented usage allowance is exhausted.

  • AI consumption depends on business knowledge, instructions and conversation history, making volume estimates important.

  • Confirm the exact CRM or booking action your configuration supports.

Pricing

Business costs US$20/month, billed monthly, and includes US$20 in monthly AI credits. This is Chatfuel’s standard plan for one business. AI usage limits apply, so check the allowance against the number of customer conversations you expect.

Customer sentiment and platform rating

Reviewers highlight ease of use and straightforward automation. Some mention cost and customer-support concerns.

Platform rating: G2 — 4.4/5.

6. Pancake’s Botcake — For retail operations

Pancake connects social messages with retail tools. Botcake provides configured automation and AI capabilities within that ecosystem.

Best for

Retailers using customer chats to answer product questions and create orders in Pancake POS.

Pros

  • Product information can be imported from Pancake POS into Botcake AI.

  • Configured flows collect customer details and create POS orders.

  • Retail tools support connected product and order processes.

Cons

  • The AI workflow requires Botcake configuration alongside the relevant retail tools.

  • Businesses using a different store or order system need to assess integration and migration work.

  • A Pancake inbox subscription alone does not establish the cost of the required AI setup.

Pricing

Charges for Botcake’s paid automation start at US$30 per 3 million messages. Botcake AI uses your own OpenAI account, so you pay separately for the tokens it consumes. If you also need Pancake’s inbox or POS, include those subscriptions and channel charges in your budget. This is usage-based pricing rather than a flat monthly AI subscription.

Customer sentiment and platform rating

The available Botcake reviews are too limited to give a reliable picture of customer sentiment. If you’re considering it, ask retailers with a similar order setup about day-to-day use and support.

Platform rating: No verified Botcake rating available from the G2 listing reviewed.

7. SleekFlow — For multichannel messaging

SleekFlow combines customer messaging, team assignment and AI configuration with business-system integrations.

Best for

Teams wanting a shared workspace for messages across channels, with configured connections to customer or store data.

Pros

  • Multichannel inbox and team assignment.

  • Workflow builder and AI capabilities.

  • Premium integrations for HubSpot, Zoho and webhooks.

Cons

  • Custom AI integrations require Premium rather than the lower Pro plan.

  • WhatsApp number hosting is charged separately.

Pricing

Premium costs US$349/month, billed monthly, with 10 users and an allowance starting at 1,000 monthly active contacts. WhatsApp number hosting adds US$15/month, with messaging usage charged separately.

Customer sentiment and platform rating

Users highlight ease of use and customer support. Missing features and cost also appear among review concerns.

Platform rating: G2 — 4.6/5.

For a closer comparison, read our SleekFlow alternative guide.

8. Freshchat — For AI support within Freshworks

Freshchat is a customer messaging product focused on support, with Freddy AI for customer responses and human-team collaboration.

Best for

Support teams that need FAQ handling, routing and a shared workspace, particularly within the Freshworks ecosystem.

Pros

  • Freddy AI for customer-support conversations.

  • Team inbox with supported social messaging channels.

  • Pro includes intelligent routing, custom reporting and multiple SLA policies.

Cons

  • Its primary operating model is customer support rather than sales-pipeline management.

  • Freddy AI session charges are separate from human-user subscriptions.

  • Connector tasks and other add-ons can increase the total.

Pricing

Pro costs US$59 per human user/month, billed monthly. Freddy AI includes 500 free sessions once per account, followed by US$49 per 100 sessions. Freddy Copilot is a separate add-on for your human team.

Customer sentiment and platform rating

Users highlight ease of use and setup. Some report AI limitations, chatbot issues or reporting needs.

Platform rating: G2 — 4.4/5.

9. Zenvia — For customer communication in Latin America

Zenvia Customer Cloud combines messaging, generative AI and customer-data capabilities, with a business presence rooted in Latin America.

Best for

Businesses in Latin America looking for messaging and customer-service capabilities suited to their regional operation.

Pros

  • Channels include WhatsApp, Instagram, Messenger and web chat.

  • Generative AI for customer conversations.

  • Connections to CRMs, ERPs and other business tools.

Cons

  • Plan and channel-package requirements need to be scoped for your market.

  • Platform integrations do not establish which actions its AI can perform independently.

  • Confirm reporting and sales-follow-up requirements in the proposed configuration.

Pricing

Regional pricing on Zenvia’s English-language page lists Customer Cloud Expert at US$390/month, billed monthly, for 30 users and 2,000 interaction credits. The starting US$20 channel package brings the monthly total to US$410, plus a US$421 setup fee in the first month. Higher channel usage, extra users and interaction credits increase the cost.

Customer sentiment and platform rating

Reviewers highlight an intuitive interface and straightforward customer messaging. Some report support delays and limited conversation reporting. The review history includes older Sirena-era feedback, so assess recent reviews for the package you are considering.

Platform rating: Capterra — 4.1/5 for Zenvia Customer Cloud.

10. Zendesk — For AI support within a structured helpdesk

Zendesk is an AI-powered customer support platform that embeds AI agents within a helpdesk environment to automate ticket handling and deflect routine inquiries.

Best for

Customer-support teams that want AI responses, ticket handling and escalation within a structured helpdesk.

Pros

  • AI Agents within the customer-support workspace.

  • Ticketing, routing and escalation workflows.

  • Integration tools for external data and configured actions.

  • Professional-plan reporting and service-management controls.

Cons

  • The platform centers on support, which may not match a sales-led conversation process.

  • Human seats and automated resolutions affect the total separately.

  • Copilot, QA and other optional capabilities carry additional charges.

Pricing

Suite Professional costs US$149 per human user/month, billed monthly. It includes 10 automated resolutions per human seat/month, subject to the published annual cap. Additional resolutions are listed at US$1.50 committed or US$2 pay-as-you-go. Copilot is separate from autonomous AI Agent usage.

Customer sentiment and platform rating

Users highlight ticket management, automation and centralized support. Some mention higher costs and the work needed to configure more complex workflows.

Platform rating: G2 — 4.3/5 for Zendesk for Customer Service.

Which AI chat agent should you choose when your current tool falls short?

Choose respond.io if your current tool leaves your team qualifying buyers, copying customer details or chasing follow-ups by hand. Its AI Agents, shared inbox, Lifecycle tracking and workflows help B2C teams turn inquiries into sales and bookings across channels.

For a narrower need, shortlist Kommo for messaging in your CRM, Manychat or Chatfuel for social automation, Pancake for retail operations, or Zendesk and Freshchat for helpdesk support.

How B2C businesses use AI Agents to handle more customer inquiries

AI Agents are most useful when they address a specific operational problem, such as filtering campaign traffic, collecting customer details or preventing inquiries from being missed. These customer stories show how AI worked alongside workflows, inbox management and other platform capabilities.

GETUTOR: Handling tutoring inquiries without missing potential students

GETUTOR, a tutoring business, needed a better way to manage incoming inquiries and connect students with suitable classes.

Its respond.io implementation combined AI Agents, workflows, Lifecycle management and a shared team inbox to handle qualification and follow-up. GETUTOR reported 24% more classes sold within two months, alongside increased daily lead handling.

The takeaway for education businesses is simple: answering a parent’s course questions helps, but the details also need to reach the advisor who can help them choose and enroll.

Praga Medica: Filtering spam so staff can focus on genuine inquiries

Praga Medica, a healthcare provider, needed to distinguish genuine patient inquiries from spam while collecting the information its team required.

AI Agents helped filter 97% of spam. Its broader customer-conversation improvements also produced 70% more lead contact data, giving staff more useful information for follow-up.

This is relevant to businesses receiving large volumes of campaign inquiries: the goal is to surface real customers and collect the details needed to help them.

Parcel Daily: Connecting customer conversations with conversion tracking

Parcel Daily, a logistics business, used respond.io to improve its customer-conversation process and connect advertising with conversion data.

Its implementation included AI-assisted information collection and Meta Conversions API tracking. The business reported a 60% increase in conversions from the broader approach.

For businesses using messaging ads, the lesson is to connect customer intake with conversion tracking. Parcel Daily’s increase came from that combined setup, so it reflects more than AI replies alone.

Turn more customer conversations into sales and bookings with AI Agents that qualify buyers, capture their details and connect them with your team. Try respond.io free for seven days and give your team more time to sell.

FAQs about the best AI chat agents

Why is my AI Agent not behaving as expected in workflows?

Most AI Agent issues are caused by workflow configuration, unclear instructions, or missing guardrails — not by the AI model itself.

If your AI Agent behaves inconsistently, check:

  • Where the AI is triggered inside the workflow

  • Whether you’re editing the correct AI instruction step

  • If escalation or fallback logic is defined

  • Whether routing conditions are too broad or conflicting

AI performance depends heavily on how well the workflow defines when to respond, what rules to follow, and when to escalate. Before publishing, use the built-in instruction validation check to catch conflicting rules, broken variable references, or missing escalation logic.

Why doesn’t changing the AI persona update the AI’s behavior?

Persona settings affect tone, but they don’t override workflow-level AI instructions unless configured correctly.

If changes don’t reflect:

  • Make sure you're editing the AI instructions inside the active workflow step

  • Separate tone/personality guidance from operational rules

  • Keep instruction rules explicit and behavior-focused

For example:

  • Tone: “Be friendly and concise.”

  • Rule: “Do not ask for confirmation unless the request is ambiguous.”

Persona alone won’t enforce operational constraints.

Why is my AI Agent making up answers (hallucinating)?

Hallucinations occur when the AI is allowed to answer outside your knowledge source or when your knowledge base is incomplete.

To reduce hallucinations:

  • Restrict replies to your knowledge source

  • Add a rule: “If not in knowledge, say you don’t know and escalate.”

  • Structure your knowledge clearly (FAQs, policies, pricing, etc.)

If the AI has permission to “answer creatively,” it may generate confident but incorrect responses — especially in areas where your knowledge is empty.

Why did my AI answer something that isn’t in my knowledge base?

Your AI is likely configured to reply outside its knowledge source.

If your knowledge base does not include certain information but the AI responds anyway:

  • Check your “reply outside knowledge” settings

  • Enable strict knowledge mode if accuracy is critical

  • Add compliance rules for high-risk claims (legal, medical, certifications, guarantees)

Without strict knowledge constraints, LLMs may infer answers that sound plausible but are incorrect.

Can I send videos or media through workflows?

Yes — media can be sent through workflow message steps, depending on channel limitations.

To send a video:

  1. Create a keyword or trigger

  2. Add a message step

  3. Attach the video file

Important considerations:

  • Each channel has file size and format restrictions

  • Always test media delivery before launching campaigns

Does the AI Agent support voice messages?

AI Agents process text input. Voice support depends on whether transcription is enabled in your setup.

If voice transcription is available:

  • Convert voice to text

  • Feed transcribed text to the AI Agent

If not:

  • Route voice-message users to a human agent

  • Ask the user to type their request

Voice handling depends on channel and configuration.

Can I send WhatsApp broadcasts and let AI reply automatically?

Yes — but outbound messages must follow WhatsApp template and opt-in rules.

Recommended setup:

  1. Send an approved template broadcast

  2. When users reply → AI Agent handles qualification and FAQs

  3. Escalate high-intent leads to humans

Do not use AI for uncontrolled outbound messaging. Always follow channel policy guidelines.

Further reading

Now that you’ve compared the platforms, explore the options most relevant to your next step:

Share this article
Telegram
Facebook
Linkedin
Twitter
Román Filgueira
Román Filgueira
Román Filgueira, a University of Vigo graduate holding a Bachelor's in Foreign Languages, joined the respond.io team as a Content Writer in 2021. Román offers expert insights on best practices for using messaging apps to drive business growth.
3x Your Business Results with Respond.io 🚀