TOP 7 AI Chatbots for Sales in 2025: Which One to Choose for Your Business

Why Every Lost Minute Costs You Money

Picture this: 11 PM. A customer is on your website, ready to buy right now. But your sales team is asleep. The form requires filling out a bunch of fields.

What happens next? They close the tab and within 2 minutes buy from a competitor who responded.

Numbers That Hit Hard

Vendasta research reveals a shocking reality: the average company responds to inquiries in 42-47 hours — that's almost 2 full days of silence.

What happens during these two days:

• 78% of buyers go to whoever responded first

• If you responded in 30 minutes instead of 5 minutes — your chances of selling drop 21 times

• 55% of companies only respond after 5+ days

• 35-50% of all sales go to the company that responded fastest

In simple terms: first come, first served.

How AI Chatbots Solve the Problem Right Now

AI chatbots work 24/7 without breaks, respond to hundreds of customers simultaneously, and don't lose patience on the 100th "is delivery free?" question.

Real Company Results

Companies with AI chatbots see conversion growth of 23-70% depending on industry:

• Sales increase by 67%

• 55% of businesses get more quality leads

• Buyers make purchase decisions 47% faster

Main advantage: while you sleep, the bot sells.

How to Choose the Right Chatbot: 3 Key Questions

Don't rush to register with the first service you find. First, answer honestly:

Question 1: What's Your Main Pain Point?

A) Visitors don't leave requests

You need a chatbot that initiates conversation first and engages the customer

B) Managers are drowning in repetitive questions

You need a smart AI assistant that automatically answers frequent questions

C) You sell through Instagram, WhatsApp, Telegram

You need messenger automation with high open rates

Question 2: What's Your Monthly Budget?

Question 3: Where Are Your Customers?

On your website — chat widget for website

On Instagram/WhatsApp/Telegram — messenger bots

Need calls — voice bots

Everywhere at once — solution for all channels simultaneously

By 2027, 25% of companies will use chatbots as their primary support channel. Choose a solution that can scale.

TOP 7 Chatbots for Sales: Detailed Review

1. Bitrix24 — All-in-One for Those Already in the System

For whom: Companies already using Bitrix24

Main advantage: No need to integrate anything — everything works within one system.

What it does:

• Connects WhatsApp, Telegram, VK, Instagram

• Visual bot builder (no programming)

• Automatically creates leads and distributes tasks to managers

• Complete customer history in one CRM card

• Built-in telephony for calls

Real Example

An auto parts store connected the bot to their inventory system. Result: response time dropped from 12 minutes to 30 seconds, conversion increased by 18%.

Pricing: From 13,990 rubles/month (~$155). Includes CRM + chatbots + telephony

Pros: Everything in one system, data stored locally, no additional integrations needed

Cons: Complex for beginners, AI weaker than specialized solutions, excessive if you don't use CRM

When to choose: You already have Bitrix24 and need deep integration

2. ManyChat — King of Sales on Instagram and Social Media

For whom: Brands with active audiences on Instagram, Facebook, WhatsApp

Main feature: Sales where your customers already hang out — on social media.

What it does:

• Automatically responds to Instagram comments and sends offers to Direct

• Creates sales funnels in messengers (conversion 3-5 times higher than email)

• Integrates with Shopify, Stripe, Google Sheets

• A/B tests messages

Real Case

An online school ran a challenge through Instagram: Stories ads, bot registration, 5 days of content, course offer for $160.

Out of 450 participants, 54 bought — 12% conversion (usually 2-3% through email).

Pricing: Free up to 1,000 contacts. Pro — from $15/month. Premium — custom

Pros: Intuitive builder, ready templates, quick start

Cons: Works only in messengers (no website widget), dependent on Meta policies

When to choose: Active social media audience, selling info products or goods through Instagram

3. Pleep — AI Salesperson That Works Like a Human

For whom: Businesses needing an aggressive AI salesperson that actually sells

Main feature: This isn't just chat. Pleep calls and texts simultaneously, works everywhere (website, WhatsApp, Telegram, Instagram) and sells like a real manager.

Why Pleep Is the Best Choice for Sales:

Focus on Sales, Not Support

Most chatbots just answer questions. Pleep actively sells: asks questions, identifies needs, handles objections, and closes deals.

Speaks by Voice + Writes Text

The only bot that can call a customer and have a conversation almost like a human. If the customer doesn't answer — it texts on WhatsApp.

Setup in 5 Minutes

Just tell the bot about your business in a conversation — and it's ready. No need to program or build complex schemes. Literally get a working AI salesperson in 5 minutes.

Disguised as Human

Communicates naturally, uses emotions, adapts to the customer. Customers don't feel they're talking to a bot.

Works Everywhere Simultaneously

One bot on the website, WhatsApp, Telegram, Instagram — customer started on the website, continued on WhatsApp. The bot remembers the entire conversation.

What it does:

• Voice calls + text dialogs (unique combination)

• Works on website and all messengers simultaneously

• Integrations with Bitrix24, amoCRM, Google Calendar, Altegio

• WhatsApp broadcasts with personalization

• Detailed analytics with AI recommendations

• No-code editor — fix responses with plain text

Real Result

A real estate rental company implemented Pleep. Result: revenue increased by 30%, savings of over $500/month on salaries, 24/7 operation without days off.

Pricing:

• Lite: $50/month — website widget, analytics, support, 1 messenger

• Business: $85/month — 3 messengers, follow-ups, CRM, broadcasts

• Pro: $120/month — priority support, unlimited messengers

Pros: Only one with voice and text, most human-like, 5-minute setup, support responds in 5 minutes, 500+ companies use it, free trial period

Cons: Need to update product information when changes occur

When to choose: Need a bot that actually sells, not just answers questions. Want quick launch. Work with multiple channels.

Main point about Pleep: if you're looking for AI that will aggressively and effectively sell — this is what you need. Not just an assistant, but a full-fledged salesperson.

4. Intercom — Comprehensive Platform for Online Business

For whom: SaaS companies and subscription-based online services

Main feature: This isn't just a chatbot — it's a system for the entire customer journey from introduction to purchase.

What it does:

• Fin AI powered by GPT-4 independently answers 50% of questions

• Interactive product tours for new users

• Works through email, chat, mobile notifications, in-app messages

• Automatic routing of complex questions to the right specialists

• Analytics with AI recommendations

Application Example

A SaaS company with a $55/month subscription added Intercom. Previously, 40% of new users left right after registration.

The bot started showing onboarding, answering questions, and connecting managers at the right moment.

Result: retention grew from 60% to 78%, profit increased by $3,500/month.

Pricing:

• Essential: from $29/month per seat + $0.99 per resolved conversation

• Advanced: from $85/month + $0.99 per conversation

• Expert: from $132/month + $0.99 per conversation

Important: Final price can grow 2-3 times with high conversation volume.

Pros: Powerful AI, covers entire customer journey, convenient interface

Cons: Expensive for small business, unpredictable final cost, excessive for simple tasks

When to choose: You're SaaS or subscription service, need a system for all customer touchpoints

5. SalesCloser.ai — Virtual Salesperson That Calls for You

For whom: Companies with high inquiry flow or need for demo calls

Main feature: AI agent calls customers, conducts Zoom presentations, and schedules meetings.

What it does:

• Outbound calls with natural voice

• Zoom video calls with screen sharing

• Works with customizable sales scripts

• Auto-sync with CRM (Salesforce, HubSpot, Pipedrive)

• Multilingual

• Independent meeting scheduling

Case Study

A B2B SaaS company received many demo requests. Managers spent hours on qualification.

Now the AI agent conducts initial demo calls, shows presentations, qualifies leads. Only interested ones go to live managers.

Result: no-show dropped by 40%, managers work only with hot leads.

Pricing: Custom (depends on call volume). Free trial available.

Pros: Scalability of calls, voice + video, auto meeting scheduling

Cons: Not suitable for email and text channels, difficult to configure for non-standard sales

When to choose: High inquiry flow, need 24/7 call processing, want to reduce no-show

6. Zvonobot — Cheap Mass Calling for Kazakhstan and CIS

For whom: Any business in Kazakhstan and the region needing to call their database

Main feature: Launch calling in 3 minutes. 10 times cheaper than call center.

What it does:

• Auto-calling your database

• Kazakh language recognition

• Integration with amoCRM, Bitrix24

• Customer presses buttons to choose (DTMF)

• Auto-SMS after call

• Detailed statistics

Real Case

A fitness club chain called their database of former clients with an offer to return. Several thousand calls in one day.

Result: 164 requested callback, 57 came for trial workout, 38 bought membership. Customer acquisition cost — only 843 tenge (~$1.75).

Pricing: $0.05 per minute of conversation. First 20 calls free.

Pros: 3-10 minute setup, very cheap, Kazakh support, free testing

Cons: Voice only (no chat), suitable for simple scripts

When to choose: Need to call database (promotions, surveys, reminders), limited budget, working with Kazakhstan market

7. Apollo — Unified Sales Platform for B2B

For whom: B2B sales teams tired of dozens of different tools

Main feature: 275+ million contacts in database + sales tools + analytics in one place.

What it does:

• Search for target leads from huge database (filters by position, company, industry)

• Automatic sequences: email + calls + LinkedIn

• AI for writing personalized emails

• Auto-dialing and meeting recording

• Email tracking (opens, clicks, replies)

• Integration with Salesforce, HubSpot, Pipedrive

Application Example

A mid-sized company uses Apollo for full cycle: finding clients, launching multi-channel sequences, tracking responses, syncing with CRM.

Result: all work in one interface, saving 10+ hours per week.

Pricing:

• Free: basic functionality

• Basic: from $49/month

• Professional: from $79/month

• Organization: from $119/month

Pros: Huge database, comprehensiveness, scales with team growth

Cons: Excessive if you need only one function

When to choose: B2B sales, need unified platform from lead search to deal closing

Comparison Table: Quick Choice in 30 Seconds

Average chatbot ROI — 1-3 months. 57% of businesses report high ROI without significant investment.

What to Do Next: 3-Day Launch Plan

Day 1: Audit and Selection (2 hours)

Step 1: Answer the questions

What's the main problem? (Low conversion / Manager overload / Few leads)

Where do customers communicate? (Website / Messengers / Calls / Everywhere)

Monthly budget? (<$60 / $60-130 / >$130)

Step 2: Choose 2 tools to compare from the table above

Tip: Don't try to cover all channels at once — start with the main one (usually website or Instagram).

Day 2: Registration and Testing (3 hours)

Almost all services offer free trial periods:

• Pleep: free trial period

• Bitrix24: 30 days free

• ManyChat: Free up to 1,000 contacts

• Intercom: 14-day trial

• SalesCloser.ai: demo available

• Zvonobot: 20 free calls

• Apollo: Free plan

What to test:

How easy to set up (should take <30 minutes)

How fast support responds

Is the interface clear to your team

Day 3: Launch Minimum Viable Product

Don't try to automate everything at once. Choose one simple task:

Option 1 (for website): Bot answers 5 frequent questions

Cost, delivery time, payment methods, working hours, return conditions

Option 2 (for messengers): Auto-reply to Instagram comments + send price list to Direct

Option 3 (for calls): Auto-calling with appointment reminders

After 7 Days: Results Analysis

Track key metrics:

• Number of handled conversations

• Conversion to inquiry/sale

• Time saved by managers

• Percentage of issues resolved without human

Benchmarks for comparison:

• Good chatbot solves 70-80% of standard questions

• Conversion should grow by at least 15-23%

• First response time — under 1 minute

If results are good — add new scenarios. If not — try the second tool.

6 Critical Rules for Working with Chatbots

Rule 1: Chatbot Helps People, Doesn't Replace Them

Right model: Robot handles simple questions (80% of inquiries), managers focus on complex deals.

Wrong model: "Fire all managers, chatbot will do everything" — this is the path to losing major clients.

Optimal model — hybrid: chatbot + human handoff for complex cases shows 35% better results.

Rule 2: Start Small

Common mistake: Spend 2 months setting up 100 scenarios and get low quality.

Right approach:

• Week 1: Set up 3-5 basic questions

• Week 2: Analyze, add 5 more

• Week 3-4: Improve based on real conversations

Rule 3: No Universal Solution

Rule 4: Chatbots Pay Off Quickly

ROI statistics:

• Average payback: 1-3 months

• ROI: $8 for every $1 invested

• Time savings: up to 2.5 billion hours annually

Signs of incorrect setup (if no results after 2 months):

Bot answers irrelevantly — Improve knowledge base

Customers immediately ask for human — Bot is too "robotic"

Many conversations but no requests — No clear call to action

Rule 5: Integrate with CRM and Analytics

Why it's critical: Without CRM you see that "bot talks a lot", but don't understand:

• How many conversations turned into sales

• Which scenarios work better

• ROI from implementation

Mandatory integrations:

CRM (amoCRM, Bitrix24, HubSpot, Salesforce)

Analytics (Google Analytics, Yandex.Metrica)

Calendar (Google Calendar) — for auto-booking

Rule 6: Chatbot Isn't "Set and Forget"

Weekly routine (30 minutes):

Review 10-15 conversations, find questions bot couldn't answer, add new responses, check conversion

Monthly optimization (2 hours):

Analyze A/B tests of greetings, optimize appearance timing, update information (new products, promotions)

Companies that regularly update bots show 40% better results.

Conclusion: Act Now

78% of buyers choose the company that responded first. While you're reading, competitors are implementing automation.

Key Action Steps:

1. Start with audit — answer 3 questions above, identify main pain point

2. Choose 2 tools to test — use free trial periods

3. Launch in 3 days — one simple task, don't cover everything

4. Measure after a week — conversion, response time, time savings

5. Improve weekly — based on real data

Quick Selection Checklist:

Need aggressive salesperson with voice and text — Pleep

Sell through Instagram/WhatsApp — ManyChat

Already have Bitrix24 — Bitrix24

SaaS or online service — Intercom

Many calls and demos — SalesCloser.ai

Database calling in CIS — Zvonobot

B2B outbound — Apollo

Main point: Don't wait for the perfect moment. The best time to start is now.

Sources and Additional Materials

Research Used:

1. Pleep (2025) - "Top 7 AI Chatbots for Business"

2. Amra & Elma LLC (2025) - "Top 20 AI Chatbot Conversion Rate Statistics"

3. Master of Code (2025) - "Best Chatbot Statistics"

4. Glassix (2025) - "AI Chatbots Enhance Conversion by 23%"

5. Vendasta (2025) - "Why Lead Response Time Matters"

6. HubSpot (2025) - "Why Your B2B Lead Response Time Is Killing Your Business"

7. LeadAngel (2025) - "Speed to Lead: Statistics, Strategies"

8. DemandSage (2025) - "65 Chatbot Statistics for 2025"

9. Sixth City Marketing (2025) - "80+ Chatbot & Live Chat Statistics"

10. Dashly (2025) - "Chatbot Statistics Crucial to Know"

11. Botpress (2025) - "Key Chatbot Statistics"

This article is based on current 2025 research and real company case studies. All data is verified by sources.