How to Use Custom Number with Bland AI: Step-by-Step Guide & Practical Tips

Imagine this: Sarah, a small business owner, recently adopted Bland AI to handle customer calls and automate her scheduling. Initially, she was overwhelmed with customer queries and often missed important client calls, negatively affecting her business. By incorporating custom numbers in Bland AI, Sarah transformed her business interactions. Customers started experiencing personalized responses, and her business operations became smoother. If Sarah’s story resonates with you, you’re in the right place. In this guide, you’ll learn exactly how to use custom number with Bland AI to drive efficiency and improve customer satisfaction.

Bland AI – What is it?

Bland AI is an innovative platform that utilizes advanced conversational AI to automate phone calls for businesses. It enables organizations to deploy AI phone agents that can interact with customers in a human-like manner, manage tasks such as sales, scheduling, and customer support, and operate around the clock.

Key Features

  • Human-like Interaction: Agents can converse in multiple languages, making them versatile for diverse customer bases.
  • Customizable Prompts: Businesses can tailor dialogues to enhance customer engagement.
  • Seamless Integration: Bland AI integrates with existing systems like CRMs and ERPs, streamlining operations.

Pros

  • Cost-effective: Priced at $0.09 per minute, it offers a budget-friendly solution for businesses.
  • High Reliability: Promises 99.99% uptime, ensuring consistent service availability.
  • Robust Security: Complies with GDPR, HIPAA, and SOC2 Type II standards, safeguarding customer data.

Cons

  • Technical Dependency: Requires reliable technical support and training for optimal use.
  • Setup Complexity: Initial integration with existing systems may demand significant time and resources.

Overall, Bland AI is a powerful tool for enterprises aiming to enhance customer service while reducing operational costs through automation.

Step-by-Step Process to Use Custom Numbers in Bland AI

1. Setting Up Your Bland AI Account

Start your journey by signing up for an account on Bland AI’s official platform. Provide basic details and quickly verify your email to access the user-friendly dashboard.

2. Obtaining Your API Key

Once you’re logged in, find your unique API key in the API settings section. Safeguard this key, as you’ll need it later for seamless integration.

3. Integrating Your Custom Numbers

  • From your dashboard, navigate to ‘Numbers.’
  • Click on ‘Add Number’ to input your custom details.
  • Customize settings like call forwarding or automated greetings to match your operational needs.

4. Linking with Communication Tools

To maximize the functionality, connect your Bland AI number to your CRM or communication suite like Twilio, CallRail, or WhatsApp Business via supported integrations.

5. Assigning Use Cases

Assign each number to a specific business function—sales, support, billing—so you can track performance and user intent more precisely.

Practical Tips for Optimizing Custom Numbers

1. Clearly State the Purpose

“Customer ID: 12345” is more helpful to the AI than a plain “12345.” Add descriptive labels to numbers.

2. Experiment with Formats

Some users report better accuracy when using words (“one thousand”) over digits (“1000”). A/B test both in your scripts.

3. Stay Consistent

Decide on one format and stick with it. Switching between formats may confuse the model over time.

4. Use Specific Phrasing

Instead of “show 2345,” say “display order ID 2345″—you’re guiding the AI’s intent.

5. Use Leading Phrases

Phrases like “Check order #” or “Search by customer ID” give Bland AI a better contextual anchor.

6. Add Meta-Prompts

Include guidance like “The following number is a reference ID” before the actual number.

7. Avoid Redundancy

Don’t overload with numbers. Limit each prompt to one primary numeric target unless necessary.

8. Use Tags in Voice Prompts

In voice-enabled use, tags like “this is invoice #” improve clarity, especially with speech-to-text layers.

Strategic Business Implementation

Strengthen Your Brand Identity

You can assign local or toll-free numbers per department or region. For instance, Sarah used “+1-800-SARAH-HELP” for support and another for billing, reinforcing brand presence across customer touchpoints.

Automate Routing Logic

With a set of structured custom numbers, Bland AI can identify the nature of a call and route it accordingly—sales inquiries to sales, complaints to customer care.

Leverage Analytics

Pair Bland AI with Google Analytics, Segment, or HubSpot to track which numbers lead to longer conversations, quicker resolutions, or higher conversions.

Troubleshooting Common Issues

Issue: Bland AI Isn’t Recognizing Numbers

  • Solution: Double-check API key configuration. Use diagnostic logs to confirm number receipt.
  • Pro Tip: Update AI prompts if your numbering scheme changes.

Issue: Inconsistent Responses

  • Solution: Standardize prompt structure. Avoid slang or ambiguous formats.

Issue: Response Delay or Failure

  • Solution: Test server latency and API uptime. Add fallback commands to handle delays gracefully.

Real-World Use Cases

Customer Support Automation

Sarah now uses different numbers for new customer inquiries vs. active account support. This helps Bland AI prioritize calls and provide tailored scripts per scenario.

Appointment & Reminder Flows

A health clinic used Bland AI to send reminders from custom numbers that patients could reply to. These replies got auto-logged in the CRM and responded to via AI.

Sales Campaign Personalization

An eCommerce brand assigned unique tracking numbers per campaign. When customers called, Bland AI knew which campaign they saw, customizing its pitch accordingly.

FAQs about Bland AI

Can multiple custom numbers be used with one Bland AI account?

Yes. You can create as many as needed for specific use cases—each with unique logic or messaging.

What analytics platforms integrate well with Bland AI?

Google Analytics, Segment, Mixpanel, Salesforce, and HubSpot are commonly used options.

Do I need a developer to set up custom numbers?

Not necessarily. Bland AI’s UI is user-friendly, but advanced routing and CRM integration may require basic technical support.

Can I assign different voices or tones per number?

Yes. Bland AI allows per-number voice personality settings, letting you align tone with department goals.

Conclusion

Just like Sarah, you can simplify and scale your business communications with Bland AI. Whether you want to automate reminders, personalize sales calls, or improve customer support, custom numbers are your secret weapon. Knowing how to use custom number with Bland Ai and implementing it thoughtfully help your AI understand context, reduce miscommunication, and serve your customers better.

This guide gave you practical tools to go from setup to strategy—now it’s your move.

Best AI Cold Calling Software for 2025 [Reviewed]

Cold calling has long been a tough, time-consuming task for sales teams and solopreneurs alike. But in 2025, artificial intelligence is transforming the way we reach potential clients. If you’re wondering whether there’s an AI that can call for you — the answer is yes. And the options for best AI cold calling software are more powerful and accessible than ever.

According to recent industry reports, over 63% of sales professionals report burnout from traditional cold calling and consider it as the worst part of their jobs. Meanwhile, AI-driven tools are helping teams 3x their outreach volume while improving lead conversion rates.

In 2025, the question isn’t “should I use AI for cold calling?” — it’s “which AI cold calling tool will get me the best results?”

In this guide, we’ll explore the 10 best AI cold calling software tools in 2025, highlighting what each does best, who it’s for, and how it can help you automate outreach, improve response rates, and scale your sales efforts — all without sacrificing personalization.

Image created using Imagine.art

Best AI Cold Calling Software – Our Selection Criteria

CriterionWhy it MattersHow it was Evaluated
AI CapabilitiesAI should actively assist — not just automate dialing — but improve conversations (via call transcription, analytics, coaching, etc.)Preference for tools with real-time AI analytics, call coaching, or predictive dialing
CRM IntegrationSeamless syncing with CRMs (HubSpot, Salesforce, Zoho, etc.) boosts efficiency.Tools that offer direct CRM integration were prioritized
User ReviewsActual user feedback reveals real-world performance and ease of use.Pulled data from G2, Capterra, Trustpilot, and vendor websites
Pricing TransparencyClear, fair pricing matters for businesses budgeting for scaling sales teams.Preference for vendors who publicly share transparent pricing
Call Quality & ReliabilityClear voice quality and minimal downtime are essential for professional outreach.Based on user complaints or praise regarding call stability
Analytics & ReportingSales managers need intelligent dashboards and reporting for optimization.Focused on tools that offer visual dashboards, AI insights, call scoring
Ease of Setup & UseComplex setups kill efficiency; the tool must be plug-and-play or easy to onboard.Gave extra weight to platforms praised for intuitive UI/UX
Best Fit for Different Use CasesNot every team needs the same features — SMBs vs Enterprises, for instance.Included a mix of tools (budget options + enterprise-grade solutions)
ScalabilityAbility to grow with the user’s needs without huge hidden costs.Checked user reviews mentioning scaling issues or smooth expansion
Innovative FeaturesStandout features like AI-guided conversations, sentiment analysis, next best action prompts made tools rank higher.Prioritized software offering advanced AI innovations, not just basic automation

Best AI Cold Calling Softwares (2025)

In the rapidly evolving world of sales, AI-powered cold calling software is transforming traditional outreach into smart, data-driven communication. These tools not only improve lead conversion but also reduce burnout and streamline processes. Below are the top AI cold calling tools to consider in 2025.

1. PhoneBurner

PhoneBurner is a powerful outbound sales automation platform that enables users to make high-volume calls efficiently. Its power dialer, CRM syncing, and detailed analytics make it a top choice for sales teams looking to increase productivity without compromising personalization.

User Feedback: Users report significant productivity gains, with some noting an increase from 80–100 to 300+ calls per day per rep.

Features: Praised for its ease of use, customizable tags, and robust sales tracking.

Pros and Cons of PhoneBurner

Pros
  • High-volume dialing without call delays
  • Seamless CRM integrations
  • Detailed call tracking and analytics
Cons
  • Pricing can be high for small teams
  • Interface looks dated to some users

Summary of PhoneBurner

Since2008
Total Reviews950+
Avg Rating4.6/5
PriceStarts at $140/user/month
Key FeaturesPower dialer, CRM sync, analytics

2. Dialpad Sell

Dialpad Sell offers AI-powered real-time transcription and analytics, enabling smarter conversations. It automatically logs calls, surfaces insights, and integrates with popular CRMs like Salesforce and HubSpot.

User Feedback: Highly rated for its intuitive interface and real-time transcription capabilities.

Features: Offers AI-powered voice intelligence with objection handling and sentiment analysis. ​

Pros and Cons of Dialpad Sell

Pros
  • Real-time voice transcription with AI
  • Easy CRM integrations
  • Modern UI/UX
Cons
  • Limited customization for call scripts
  • AI features require higher-tier plans

Summary of Dialpad Sell

Since2011
Total Reviews1,200+
Avg Rating4.4/5
PriceStarts at $20/user/month
Key FeaturesAI transcription, analytics, CRM sync

3. Salesken

Salesken stands out for its real-time AI coaching during calls. It offers actionable insights, objection handling, and training prompts, helping sales reps improve on the go.

User Feedback: Users appreciate its simplicity and effectiveness in tracking sales leads and enhancing productivity.

Features: Provides real-time AI coaching and detailed call analytics.

Pros and Cons of Salesken

Pros
  • Live AI coaching during calls
  • Sales performance analytics
  • Smooth onboarding process
Cons
  • Requires initial training to customize prompts
  • No free tier available

Summary of Salesken

Since2018
Total Reviews600+
Avg Rating4.5/5
PriceContact for pricing
Key FeaturesLive coaching, call insights, sales analytics

4. Aircall

Aircall is a cloud-based call center solution tailored for remote sales teams. With AI-enhanced routing, CRM integrations, and real-time monitoring, it suits growing businesses.

User Feedback: Recognized for its seamless call transferring system and reliability.
Features: Offers a cloud-based phone system with AI features, ideal for remote teams.

Pros and Cons of Aircall

Pros
  • Built for remote teams
  • Easy CRM integration
  • Scalable with global numbers
Cons
  • Limited offline functionality
  • Basic reporting compared to others

Summary of Aircall

Since2014
Total Reviews1,500+
Avg Rating4.3/5
PriceStarts at $30/user/month
Key FeaturesCloud-based, global numbers, CRM integrations

5. JustCall

JustCall is a VoIP system with AI features that support local and international calls. Its analytics dashboard and workflow automations help sales teams save time.

  • User Feedback: Users highlight its comprehensive feature set and responsive customer service.
  • Features: Provides VoIP services with AI capabilities and supports CRM integrations. ​

Pros and Cons of JustCall

Pros
  • Local number support in 70+ countries
  • Call analytics and recordings
  • Easy API access
Cons
  • Call quality varies by region
  • CRM sync sometimes delays

Summary of JustCall

Since2016
Total Reviews800+
Avg Rating4.2/5
PriceStarts at $19/user/month
Key FeaturesVoIP, AI analytics, call routing

6. RingCentral

RingCentral offers a full communication suite, and its AI-driven scripting and analytics tools are especially valuable for outbound sales teams.

Pros and Cons of RingCentral

Pros
  • Unified platform for voice, video, messaging
  • AI for call guidance and summaries
  • Deep CRM integrations
Cons
  • May be overwhelming for small teams
  • More features than needed for cold calling alone

Summary of RingCentral

Since1999
Total Reviews2,500+
Avg Rating4.3/5
PriceStarts at $19.99/user/month
Key FeaturesMulti-channel, AI scripting, CRM sync

7. Klenty

Klenty helps reps personalize outreach using AI and automates workflows for follow-ups, voicemails, and lead management.

  • User Feedback: Noted for its ability to personalize outreach and automate workflows, though some users mention customer service delays.
  • Features: A sales engagement platform with AI-powered call recording and CRM integration. ​G2

Pros and Cons of Klenty

Pros
  • Multi-channel outreach
  • Built-in dialer
  • AI-powered workflows
Cons
  • UI needs modernization
  • Limited native integrations

Summary of Klenty

Since2015
Total Reviews700+
Avg Rating4.4/5
PriceStarts at $50/user/month
Key FeaturesSales automation, AI sequences, analytics

8. Gong.io

Gong.io is known for its deep call analytics powered by AI. It helps managers understand what drives deals and coaches reps based on real conversations.

  • User Feedback: Praised for its advanced conversation analytics and AI-driven insights.
  • Features: Provides deep insights into sales calls through AI-driven conversation analytics. ​

Pros and Cons of Gong.io

Pros
  • Advanced conversation intelligence
  • Powerful sales dashboards
  • Coaching recommendations
Cons
  • Premium pricing
  • Focused more on analysis than calling

Summary of Gong.io

Since2015
Total Reviews2,000+
Avg Rating4.7/5
PriceContact for pricing
Key FeaturesConversation analytics, AI insights, deal coaching

9. VanillaSoft

VanillaSoft combines lead management with AI-driven routing and scoring. It’s ideal for call centers and B2B sales teams.

  • User Feedback: Users find it easy to use and effective for lead management, though some note limitations in SMS features.
  • Features: Lead management software with AI features like lead scoring and real-time tracking.

Pros and Cons of VanillaSoft AI for Cold Calling

Pros
  • Intelligent lead routing
  • High-speed calling
  • Built-in email and SMS features
Cons
  • Slight learning curve
  • Limited third-party app integrations

Summary of VanillaSoft

Since2005
Total Reviews400+
Avg Rating4.5/5
PriceContact for pricing
Key FeaturesLead scoring, routing, omnichannel outreach

10. Myphoner

Myphoner is a simple and cost-effective tool for small teams. It offers lead tracking, queue-based calling, and essential integrations with CRMs.

  • User Feedback: Appreciated for its simplicity and effectiveness in cold calling and lead management.
  • Features: A budget-friendly AI cold calling tool with capabilities for lead management. ​

Pros and Cons of Myphoner

Pros
  • Very easy to use
  • Affordable pricing
  • Transparent queue calling
Cons
  • Basic interface
  • Fewer advanced AI features

Summary of Myphoner

Since2013
Total Reviews250+
Avg Rating4.3/5
PriceStarts at $20/user/month
Key FeaturesCold calling, queue dialing, CRM sync

Best AI Tools for Cold Calling – Comparison

SoftwareKey FeaturesPricing (per user/month)User Reviews (Avg. Rating)Best ForCRM Integration
PhoneBurnerPower dialer, CRM sync, call analytics$1404.6/5High-volume outbound salesYes
Dialpad SellAI transcription, analytics, CRM integration$204.4/5Real-time call insightsYes
SaleskenReal-time AI coaching, analyticsContact for pricing4.5/5Sales performance enhancementYes
AircallCloud phone system, AI features$304.3/5Remote teamsYes
JustCallVoIP with AI, local calls$194.2/5Localized callingYes
RingCentralAI call scripting, analytics$19.994.3/5Comprehensive communicationYes
KlentyAI call recording, CRM sync$504.4/5Sales engagementYes
Gong.ioConversation analytics, AI insightsContact for pricing4.7/5Deep sales call analysisYes
VanillaSoftLead scoring, real-time trackingContact for pricing4.5/5Lead managementLimited
MyphonerLead management, AI capabilitiesContact for pricing4.3/5Budget-friendly cold callingYes

Disclaimer: Pricing and features are subject to change. It’s recommended to contact the AI software providers for the most current information and to determine the best fit for your specific needs.​

How to Use AI for Cold Calling?

Step-by-Step Process to use AI for Cold Calling – Launching Your First Campaign

  1. Monitor and refine: Improve scripts based on success rates.
  2. Choose the right tool: Based on your industry and call volume.
  3. Create or upload scripts: Most platforms allow GPT-style generation or upload.
  4. Connect your CRM: Sync leads and automate call assignments.
  5. Run test calls: Review transcripts or recordingss

Integrating AI with Your CRM

Seamless data sharing lets AI cold calling tools personalize each call using contact history, deal stage, and buyer behavior.

Training AI with Call Scripts

Most tools are conversational AI for cold calling and allow you to input or generate call scripts. Regular updates help improve accuracy and compliance.

Compliance, Ethics, and Best Practices

  • Always disclose AI usage when legally required.
  • Avoid spammy behavior with lead list hygiene.
  • Monitor calls for quality control.

Is AI Cold Calling Right for You?

For Real Estate

AI cold calling for real estate is revolutionizing lead gen. Tools like Humantic.ai and Exceed can pre-qualify leads, book viewings, and personalize outreach.

For Solopreneurs & Freelancers

Using AI for cold calling lets solo operators scale outreach without hiring. Try Lyne.ai for pre-call warm-ups and Air AI for hands-off dialing.

For Sales Teams

Enterprise teams benefit from automations and smart routing. Tools like Regie.ai and Kixie shine here.

What’s Next for AI Cold Calling?

The future of AI cold calling is moving beyond scripts into emotional intelligence and predictive timing. New tools are exploring:

  • Voice cloning for more natural tone matching
  • AI real-time coaching to help human reps mid-call
  • Intent-based targeting, where AI only dials when buyer interest is predicted

Frequently Asked Questions (FAQs)

What is the best AI cold calling software for 2025?

Top options include PhoneBurner, Gong.io, and Dialpad Sell, depending on your team’s needs and CRM setup.

How does AI improve cold calling?

AI enhances cold calls through real-time coaching, sentiment analysis, call scoring, and predictive dialing.

Is AI cold calling legal in 2025?

Yes, but compliance depends on your region. Always disclose AI usage where required and follow telemarketing laws.

What features should I prioritize in AI cold calling tools?

Focus on CRM integration, call analytics, real-time transcription, and scalability when selecting your AI tool.

Summary

Choosing the right AI cold calling software can significantly boost your outreach efficiency, improve call quality, and help your team close more deals. Whether you’re a startup scaling up or an enterprise optimizing operations, the tools above offer something valuable.

Explore your needs carefully — from CRM integration and real-time analytics to innovative coaching features — and invest in a platform that will truly support your growth in 2025 and beyond.

Ready to supercharge your outbound sales with AI? Start by choosing your ideal tool from our list — and subscribe here for insider tips, templates, and early AI sales hacks!

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