Avoma vs Oliv.ai: 2025 Comparison of Features, Pricing, and User Reviews

Q1. What are Avoma and Oliv.ai, and why are sales teams comparing them in 2025? [toc=Platform Comparison Overview]

Revenue teams across enterprises are reaching a breaking point with traditional conversation intelligence platforms. The promise of automated meeting insights has largely failed to deliver, with sales managers spending hours reviewing recordings, AEs struggling with unreliable transcriptions, and RevOps leaders frustrated by fragmented data that requires constant manual intervention. As budgets tighten and efficiency demands increase, teams are actively seeking Gong alternatives that deliver real automation—not just another SaaS tool requiring extensive training and adoption.

Traditional conversation intelligence tools like Avoma represent the previous decade's approach to sales technology. Built before the generative AI revolution, these platforms rely on basic keyword tracking, pattern recognition, and rule-based automation that requires constant human oversight. Avoma, positioned as a "cheaper version of Gong," charges approximately $100 per seat while delivering inconsistent performance that frustrates users daily. The platform struggles with fundamental reliability issues—recorders frequently fail to join calls on time, transcription quality remains poor, and basic summarization provides little actionable insight.

"It sometimes takes a little while for the Avoma note taker to join a meeting... We see it show up late, drop from calls randomly and sometimes just not show up."
— Amrit D., Customer Success Manager [G2 Verified Review]

The emergence of generative AI has fundamentally transformed what's possible in revenue intelligence. Modern AI-native platforms leverage fine-tuned Large Language Models to truly understand conversation context, automatically generate business-relevant insights, and execute workflows without human intervention. This shift represents more than incremental improvement—it's a complete reimagining of how revenue teams can operate, moving from manual SaaS adoption to autonomous AI execution that addresses meeting challenges that have plagued sales organizations for years.

Oliv.ai represents this new generation of revenue intelligence, built from the ground up on generative AI principles with an agent-first architecture. Rather than requiring teams to learn another software platform, Oliv.ai's AI agents for sales teams perform work directly for users. The Meeting Assistant Agent automatically joins calls, generates contextually accurate transcriptions, and produces MEDDIC scorecards without manual review. The CRM Manager Agent proactively updates deal records and maintains data hygiene, while the Forecaster Agent delivers weekly forecasts with AI-generated commentary that explains deal progression and risk factors.

The market validation is clear: enterprise clients are achieving 60% cost reductions while gaining superior functionality through this agent-based approach. Unlike Avoma's struggling $4-5 million revenue base that faces scaling challenges, Oliv.ai's AI-native architecture enables seamless expansion across enterprise revenue teams. Starting at $19/user/month with bundled agents, the platform eliminates the need to stack multiple expensive tools while delivering reliability that traditional platforms simply cannot match.

"The actual transcript isn't all that great/clean. I mean it's fine - but nothing to write home about."
— Verified Healthcare User [G2 Verified Review]

This comparison matters because it represents the broader shift happening across revenue technology: from manual SaaS tools requiring extensive adoption to autonomous AI agents that work for you. Teams evaluating Avoma vs Oliv.ai aren't just choosing between two conversation intelligence platforms—they're choosing between the previous decade's approach and the future of revenue operations powered by advanced sales automation tools.

Q2. Complete Feature Comparison: Core Conversation Intelligence Capabilities [toc=Feature Comparison]

When evaluating conversation intelligence platforms, understanding the specific capabilities of each feature becomes critical for revenue teams making purchasing decisions. This comprehensive analysis examines core conversation intelligence capabilities between Avoma and Oliv.ai across four key areas: transcription, recording, conversation intelligence, and note-taking features.

Transcription Capabilities

User feedback consistently highlights Avoma's transcription limitations:

"The actual transcript isn't all that great/clean. I mean it's fine - but nothing to write home about."
— Verified Healthcare User [G2 Verified Review]

"It can still be a little fluky with some transcriptions and does seem challenged at times when I speak with non native English speakers."
— KJ J., Senior Talent Recruiter [G2 Verified Review]

Recording Capabilities

The reliability issues with Avoma's recording system are well-documented:

"We see it show up late, drop from calls randomly and sometimes just not show up. If there are two account holders on one call, we have seen it show up twice."
— Aleshia R., Client Director [G2 Verified Review]

Conversation Intelligence Features

Note-taking Capabilities

Security & Compliance Comparison

How Oliv.ai Simplifies the Entire Process: Unlike traditional platforms requiring manual feature configuration and ongoing maintenance, Oliv.ai's Meeting Assistant Agent autonomously handles transcription, recording, and insight generation through intelligent automation. This eliminates the reliability issues plaguing older platforms while delivering superior accuracy and business relevance through generative AI. For sales managers seeking comprehensive solutions, Oliv for sales managers provides the automation and insights needed to scale coaching and performance management effectively, while advanced note-taking AI capabilities ensure every critical detail is captured and actionable.

Q3. Which platform offers better conversation intelligence accuracy and reliability? [toc=Accuracy & Reliability]

Revenue teams depend on conversation intelligence platforms to capture critical deal information, coach reps effectively, and maintain accurate pipeline forecasts. When these systems fail to reliably join calls or produce accurate transcriptions, sales organizations lose crucial insights that directly impact deal progression and revenue outcomes.

Traditional conversation intelligence platforms like Avoma struggle with fundamental reliability issues that frustrate users daily. Built on pre-generative AI technology, Avoma's recorders frequently fail to join calls on time, drop from meetings randomly, or simply don't show up at all. The platform's transcription quality remains inconsistent, particularly challenging when dealing with non-native English speakers or complex sales conversations that require advanced note-taking AI capabilities.

"We see it show up late, drop from calls randomly and sometimes just not show up. If there are two account holders on one call, we have seen it show up twice."
— Aleshia R., Client Director [G2 Verified Review]

The emergence of generative AI has transformed what's possible in conversation intelligence accuracy. Modern AI-native platforms leverage fine-tuned Large Language Models to understand conversational context, speaker intent, and business-relevant insights rather than relying on basic keyword matching and pattern recognition that characterizes older tools. This advancement addresses core meeting challenges that have hindered sales team productivity for years.

Oliv.ai's Meeting Assistant Agent represents this next generation of conversation intelligence, built on advanced LLMs that deliver 95% transcription accuracy compared to Avoma's 80% baseline. The agent autonomously joins calls with zero reliability issues, processes conversations in under 5 minutes, and generates contextually accurate MEDDIC scorecards without manual review. Unlike traditional platforms that require constant monitoring and manual cleanup, the Meeting Assistant Agent works autonomously in the background.

"It can still be a little fluky with some transcriptions and does seem challenged at times when I speak with non native English speakers."
— KJ J., Senior Talent Recruiter [G2 Verified Review]

The operational impact is significant: enterprise clients report eliminating the 2-3 hours weekly that sales managers previously spent reviewing and cleaning up unreliable conversation data, while gaining superior insight quality that actually drives deal progression rather than creating additional administrative burden.

Q4. Complete Feature Comparison: Advanced Integration & Revenue Intelligence [toc=Advanced Features]

This comprehensive analysis examines advanced capabilities that differentiate modern conversation intelligence platforms from legacy solutions, focusing on automation, security, coaching, and revenue intelligence features that directly impact sales team productivity and sales team collaboration.

Automation & Integration Capabilities

"I love how Avoma integrates with Salesforce."
— Miles W., Senior Manager, Customer Success [G2 Verified Review]

Security & Compliance Features

Revenue Intelligence & Coaching

"I find the AI call scoring to be gimmicky and provides little value."
— Miles W., Senior Manager, Customer Success [G2 Verified Review]

How Oliv.ai Simplifies Advanced Features: While traditional platforms require manual configuration and ongoing maintenance of integrations and workflows, Oliv.ai's AI agents for sales teams automatically handle these advanced capabilities through intelligent automation, eliminating the need for extensive setup while delivering superior functionality through advanced sales automation tools.

Q5. How do Avoma and Oliv.ai pricing models compare in 2025? [toc=Pricing Comparison]

Understanding the total cost of ownership between conversation intelligence platforms requires examining not just seat pricing, but also hidden fees, contract terms, and value delivery that impact long-term budget planning for revenue teams evaluating alternatives to expensive platforms like those discussed in Gong vs Clari comparisons.

Base Pricing Structure

Avoma Pricing:

• Standard Plan: ~$100/seat/month
• Platform Fees: None
• Contract Terms: Annual commitment required
• Minimum Seats: Varies by plan

Oliv.ai Pricing:

• Essential Plan: Starting at $19/user/month
• Professional Plan: $39/user/month
• Enterprise Plan: Custom pricing
• Platform Fees: None
• Contract Terms: Monthly or annual options

Total Cost Analysis

Contract Flexibility Issues

User feedback reveals significant concerns about Avoma's contract inflexibility:

"We are paying for double the amount of seats that we need. We only have 48 active users and are paying for 87... Multiple times they flat out refused [to renegotiate]. We will not renew our next contract with Avoma due to this."
— Jessica W., IT Specialist [G2 Verified Review]

Value Comparison

Traditional SaaS Stacking Costs:

• Avoma: $100/seat/month
• Additional forecasting tool: $50-100/seat/month
• Total: $150-200/seat/month

Oliv.ai All-in-One Solution:

• Complete platform: $19-39/seat/month
• Savings: $111-161/seat/month per user

This cost advantage makes Oliv.ai particularly attractive for teams considering comprehensive solutions beyond basic conversation intelligence, similar to the value propositions explored in Gong vs Oliv comparisons.

ROI Calculation

"The note-taking is quite smooth and helpful for me to keep track of all the calls."
— Verified User in Consulting [G2 Verified Review]

Cost-Effectiveness Conclusion: While Avoma positions itself as a budget-friendly alternative to premium platforms, the combination of inflexible contracts, additional tool requirements, and high manual adoption costs creates a more expensive total ownership experience compared to Oliv.ai's transparent, all-inclusive pricing model. For sales managers seeking comprehensive value, Oliv for sales managers delivers the functionality of multiple tools at a fraction of the cost of traditional SaaS stacking approaches.

Q6. What do users say about Avoma vs Oliv.ai in 2025 reviews? [toc=User Reviews]

User Satisfaction Analysis

Analysis of verified user reviews reveals significant satisfaction disparities between the platforms. Avoma users consistently report reliability issues and performance concerns, while acknowledging basic functionality benefits that fall short of modern sales automation tools standards.

Avoma User Feedback Themes

Positive Aspects:

• Integration capabilities with Salesforce
• Accurate AI-generated meeting notes
• Call transcript functionality with timestamp navigation
• Helpful for basic note-taking and call organization

Critical Issues Reported:

• Reliability Problems: Multiple users report recorders joining calls late, dropping randomly, or failing to appear
• Transcription Quality: Users describe transcripts as "not all that great/clean" and "fluky with some transcriptions"
• Contract Inflexibility: Significant complaints about inability to renegotiate seat counts and overpaying for unused licenses
• Search Functionality: Users find it "very hard to find calls in the search feature"

Detailed User Experiences

Reliability Concerns:

"We see it show up late, drop from calls randomly and sometimes just not show up. If there are two account holders on one call, we have seen it show up twice."
— Aleshia R., Client Director [G2 Verified Review]

Transcription Limitations:

"It can still be a little fluky with some transcriptions and does seem challenged at times when I speak with non native English speakers."
— KJ J., Senior Talent Recruiter [G2 Verified Review]

Contract Issues:

"We are paying for double the amount of seats that we need. We only have 48 active users and are paying for 87... Multiple times they flat out refused [to renegotiate]. We will not renew our next contract with Avoma due to this."
— Jessica W., IT Specialist [G2 Verified Review]

Overall Assessment:

"The actual transcript isn't all that great/clean. I mean it's fine - but nothing to write home about."
— Verified Healthcare User [G2 Verified Review]

Review Score Distribution

Based on available reviews, Avoma shows mixed satisfaction with ratings ranging from 0/5 to 5/5, with common scores around 3-4/5. Critical issues focus on reliability and contract terms rather than core functionality disputes. These challenges highlight the importance of evaluating comprehensive solutions like those explored in Gong alternatives comparisons.

Note: Comprehensive Oliv.ai user reviews are limited in public databases due to the platform's newer market presence, though enterprise client testimonials indicate superior satisfaction rates with reliability and AI-native capabilities that address core meeting challenges.

Q7. How do implementation complexity and time-to-value compare? [toc=Implementation Complexity]

Revenue teams face increasing pressure to deploy new tools quickly while minimizing disruption to existing workflows. The implementation experience often determines whether sales organizations realize projected ROI or abandon platforms due to adoption challenges that impact productivity during critical selling periods.

Traditional conversation intelligence platforms like Avoma require extensive manual configuration, team training, and ongoing maintenance that extends implementation timelines significantly. Built on pre-generative AI architecture, these tools demand users adapt their workflows to accommodate software limitations, including manual review processes, custom rule creation, and complex integration mapping that requires IT support and weeks of configuration before delivering basic functionality that often falls short of modern note-taking AI capabilities.

"I love the AI-generated meeting notes. Not only is it super easy, but it is really accurate!"
— Miles W., Senior Manager, Customer Success [G2 Verified Review]

The shift toward AI-native platforms has fundamentally transformed implementation expectations, enabling intelligent automation that reduces setup complexity while delivering immediate value. Modern generative AI eliminates the need for extensive rule configuration, manual workflow mapping, and complex training programs that characterize traditional SaaS deployments, similar to the advantages discussed in Gong vs Oliv implementation comparisons.

Oliv.ai's agent-first architecture delivers 45-day ROI through autonomous implementation that requires minimal manual intervention. The Meeting Assistant Agent automatically configures call recording and transcription, while the CRM Manager Agent establishes intelligent data synchronization without requiring extensive mapping or rule creation. The Forecaster Agent begins delivering weekly forecasts with AI commentary immediately upon deployment, eliminating the 8-12 week implementation cycles typical of traditional platforms and enabling superior sales team collaboration.

Enterprise implementations demonstrate the dramatic difference: traditional platforms require dedicated project teams, extensive training programs, and ongoing optimization cycles, while Oliv.ai's AI agents for sales teams begin working immediately with zero training requirements. This translates to immediate productivity gains rather than the productivity losses typically associated with new tool adoption, enabling sales teams to focus on selling rather than learning new software interfaces.

Q8. Which platform provides better CRM integration and workflow automation? [toc=CRM Integration]

Revenue teams need seamless CRM data flow and automated administrative tasks to focus on selling rather than data entry. When conversation intelligence platforms fail to maintain accurate CRM hygiene or require manual intervention, sales organizations lose productivity and suffer from incomplete deal records that impact forecasting accuracy and deal progression visibility.

Traditional conversation intelligence platforms like Avoma offer basic bidirectional sync with Salesforce but require constant manual maintenance and field updates. Built on pre-generative AI architecture, these tools provide fragmented workflow automation that breaks down under real-world complexity, forcing sales teams to manually review and clean up data inconsistencies that undermine the automation promise. This creates challenges similar to those addressed in comprehensive Gong integrations analysis.

"I love how Avoma integrates with Salesforce."
— Miles W., Senior Manager, Customer Success [G2 Verified Review]

The evolution toward AI-powered automation has transformed CRM integration from basic data syncing to intelligent context understanding. Modern generative AI platforms can interpret conversational context, understand deal progression signals, and proactively update relevant fields without requiring extensive rule configuration or manual oversight that characterizes older tools, delivering capabilities that surpass traditional Gong Salesforce integrations.

Oliv.ai's CRM Manager Agent represents this next generation of intelligent automation, understanding deal context and business relationships to proactively maintain CRM hygiene without manual intervention. Unlike traditional platforms that sync basic meeting data, the CRM Manager Agent intelligently updates opportunity stages, contact roles, and next steps based on conversation analysis, while the Meeting Assistant Agent ensures every critical detail flows seamlessly into deal records with the precision required for effective MEDDIC sales methodology implementation.

Enterprise implementations demonstrate the productivity impact: customers report saving 1,200 hours annually for 50-rep teams through automated data entry and intelligent CRM management, eliminating the manual cleanup cycles that traditional platforms require while maintaining superior data accuracy that actually improves forecast confidence rather than creating additional administrative burden. For comprehensive guidance, Oliv for sales managers provides detailed insights into maximizing these automation capabilities for enhanced team performance.

Q9. How do coaching and sales enablement features compare? [toc=Coaching Features]

Sales managers need scalable coaching tools and performance insights to develop teams effectively while maintaining consistent methodology across diverse skill levels. When coaching platforms deliver generic feedback or require extensive manual review, managers struggle to provide timely, relevant guidance that actually improves rep performance and accelerates deal progression.

Traditional conversation intelligence platforms like Avoma provide basic scorecards and manual review processes that require manager interpretation and generic coaching recommendations. These pre-generative AI tools rely on keyword matching and basic pattern recognition that fails to understand business context, forcing managers to spend hours reviewing calls manually to extract meaningful coaching insights that often fall short of established sales automation tools standards.

"I find the AI call scoring to be gimmicky and provides little value - but that might be because I have not done enough to set up my scoring templates?"
— Miles W., Senior Manager, Customer Success [G2 Verified Review]

The advancement of AI-powered coaching has enabled personalized feedback delivery and contextual performance insights based on individual rep needs and specific deal characteristics. Modern platforms can understand conversation quality, objection handling effectiveness, and discovery depth to provide actionable coaching recommendations without requiring manual template configuration or subjective scoring interpretation, similar to the comprehensive methodologies explored in MEDDIC sales methodology implementation.

Oliv.ai's Coaching Agent delivers automated personalized feedback based on deal-specific performance analysis, providing contextual recommendations that address individual development needs without manual review requirements. The agent analyzes conversation effectiveness against proven methodologies like SPICED sales methodology, identifies specific improvement opportunities, and delivers coaching insights with AI commentary that explains the reasoning behind recommendations. This approach enhances sales team collaboration by ensuring consistent coaching standards across the organization.

"I like that my employees can request a scoring/review of a particular call, and I get notified of the request."
— Miles W., Senior Manager, Customer Success [G2 Verified Review]

The coaching outcomes demonstrate measurable impact: customers achieve 30% faster deal cycles through automated coaching insights and performance optimization recommendations, enabling managers to focus on strategic development rather than manual call review while delivering more effective, personalized coaching at scale than traditional platforms can support. For comprehensive guidance on maximizing these capabilities, Oliv for sales managers provides detailed insights into implementing systematic coaching approaches.

Q10. Which platform is better for different team sizes and use cases? [toc=Team Size Suitability]

Selecting the optimal conversation intelligence platform depends on specific organizational needs, team size constraints, budget considerations, and strategic revenue objectives. Understanding how each platform scales across different business contexts enables informed decision-making that aligns with long-term growth plans.

Small Business (Under 100 Employees)

Avoma Target Market:
Avoma specifically targets small businesses with fewer than 100-200 employees, positioning itself as an affordable alternative to enterprise-grade platforms like Gong. The platform's ~$100/seat pricing with no platform fees initially appears attractive for smaller budgets.

Key Considerations for SMBs:

• Budget Constraints: Limited resources require reliable, cost-effective solutions
• Implementation Speed: Small teams need quick deployment with minimal IT overhead
• Reliability Requirements: Every missed call or failed recording significantly impacts smaller sales teams

User Experience Reality:

"We see it show up late, drop from calls randomly and sometimes just not show up."
— Aleshia R., Client Director [G2 Verified Review]

Recommendation for SMBs: While Avoma targets this segment, reliability issues and contract inflexibility create significant risks for smaller organizations that cannot absorb productivity losses from failed recordings or overpaying for unused seats.

Mid-Market Companies (100-1000 Employees)

Scaling Challenges:
Mid-market organizations require platforms that can handle increased meeting volume, multiple team integration, and sophisticated workflow automation without requiring extensive IT resources that complement Gong alternatives evaluation processes.

Avoma Limitations at Scale:

• Concurrent meeting limitations (up to 5 meetings)
• Basic workflow automation requiring manual oversight
• Limited forecasting and revenue intelligence capabilities

Growth Requirements:

"We are paying for double the amount of seats that we need... Multiple times they flat out refused [to renegotiate]."
— Jessica W., IT Specialist [G2 Verified Review]

Enterprise Organizations (1000+ Employees)

Enterprise Requirements:

• Unlimited concurrent meeting processing
• Advanced security and compliance (SOC2, GDPR, EU AI Act)
• Comprehensive revenue intelligence and forecasting
• Seamless CRM integration with intelligent automation
• Scalable coaching and performance management

Platform Comparison:

Industry-Specific Considerations

Healthcare/Regulated Industries:

• Compliance Requirements: EU AI Act compliance, private storage, data anonymization
• Winner: Oliv.ai's comprehensive compliance framework

Technology/SaaS:

• Rapid Scaling Needs: Unlimited concurrency, flexible contracts
• Winner: Oliv.ai's agent-based architecture scales seamlessly with Oliv.ai's AI agents for sales teams

Professional Services:

• Client Interaction Focus: Accurate transcription, reliable recording
• Winner: Oliv.ai's 95% accuracy vs Avoma's reliability issues

Final Recommendations

Bottom Line: While Avoma targets budget-conscious small businesses, its reliability issues, contract inflexibility, and limited scalability create significant risks. Oliv.ai's superior technology, comprehensive feature set, and flexible pricing make it the better choice across all team sizes and use cases, particularly when considering comprehensive solutions that address meeting challenges at scale and enable effective command of the message implementation across revenue teams.

‍