Relevance AI vs Gong

Relevance AI

A visual drag‑and‑drop interface lets non‑technical users create AI agents by describing desired behavior in plain language, selecting LLMs, and adding tools. The builder abstracts model prompting, tool configuration, and workflow logic, enabling rapid prototyping and deployment without writing code. Empowers subject‑matter experts to automate complex sales tasks without relying on engineers, shortening time‑to‑value.

✓ Empowers subject‑matter experts to automate complex sales tasks without relying on engineers, shortening time‑to‑value

Gong

Gong's conversation recording engine automatically captures and transcribes every customer interaction across multiple channels including phone calls, video conferences, and email communications. The platform integrates directly with communication tools like Zoom, Microsoft Teams, Google Meet, and major phone systems to record conversations without requiring manual intervention. Advanced AI transcription technology converts audio to text with high accuracy, automatically identifying different speakers and adding timestamps throughout the conversation. The resulting transcripts are fully searchable, allowing teams to quickly find specific topics, keywords, or moments across thousands of conversations. Speaker labels and talk-time analytics provide immediate visibility into conversation dynamics, while keyword highlighting makes it easy to identify when critical topics like pricing, competitors, or objections are discussed. Eliminates manual note-taking and ensures no customer interaction data is lost or missed, creating a complete searchable archive of every customer conversation.

✓ Eliminates manual note-taking and ensures no customer interaction data is lost or missed, creating a complete searchable archive of every customer conversation

Relevance AI

The Workforce feature lets users assemble hierarchies of specialized agents that collaborate like human teams. Agents can hand off tasks, share knowledge bases, and trigger one another via API, webhook, or built‑in triggers, supporting end‑to‑end sales processes from research to meeting booking. Scales complex, multi‑step sales workflows while preserving human‑like decision quality.

✓ Scales complex, multi‑step sales workflows while preserving human‑like decision quality

Gong

Gong's machine learning engine analyzes every recorded conversation to automatically identify coaching opportunities, best practices, and areas for improvement across the sales team. The AI compares individual rep behavior against benchmarks established by top performers, flagging specific moments where different approaches could have yielded better outcomes. When a rep misses an opportunity to address an objection, fails to ask discovery questions, or talks too much without listening, Gong identifies these moments and provides timestamped references for coaching conversations. The platform also highlights winning techniques used by top performers—such as effective objection handling, compelling storytelling, or strategic questioning—making it easy to share best practices across the team. Automated coaching recommendations surface the highest-impact opportunities for each rep, enabling managers to focus their limited coaching time on the moments that matter most. Enables targeted coaching and skill development by identifying specific moments and techniques that drive success, reducing ramp time for new reps and improving performance across the team.

✓ Enables targeted coaching and skill development by identifying specific moments and techniques that drive success, reducing ramp time for new reps and improving performance across the team

Relevance AI

Relevance AI ships with pre‑built connectors for CRMs (Salesforce, HubSpot), email platforms, calendars, databases, and cloud services. Users can also add custom HTTP or Zapier triggers, allowing agents to read/write data across the entire tech stack. Eliminates manual data entry and enables agents to act directly in the tools sales teams already use.

✓ Eliminates manual data entry and enables agents to act directly in the tools sales teams already use

Gong

Gong's deal intelligence capabilities analyze the actual content and patterns of customer conversations to assess deal health, identify risks, and predict close probability with unprecedented accuracy. Rather than relying on subjective rep assessments or CRM data entry, Gong examines objective signals like conversation frequency, stakeholder engagement, sentiment trends, and topic coverage to determine whether deals are progressing as expected. The platform compares current deal conversations against historical patterns from won and lost opportunities, identifying early warning signals when deals begin to deviate from successful patterns. Stalled deals are automatically flagged when conversation frequency drops or key stakeholders become disengaged. Risk indicators surface when sentiment shifts negative, competitors are mentioned favorably, or critical topics like budget and timeline remain unaddressed. Improves forecast accuracy by 20-30% and enables proactive deal management before issues become critical, giving sales leaders confidence in their pipeline and reducing end-of-quarter surprises.

✓ Improves forecast accuracy by 20-30% and enables proactive deal management before issues become critical, giving sales leaders confidence in their pipeline and reducing end-of-quarter surprises

Relevance AI

Plans allocate a monthly credit pool (e.g., 10,000 credits for Pro) that is consumed per agent action, with optional extra vendor credits for higher‑capacity LLM usage. Credits reset monthly, and unused credits roll over on Enterprise plans. Aligns cost with actual usage, making the platform affordable for startups and predictable for large teams.

✓ Aligns cost with actual usage, making the platform affordable for startups and predictable for large teams

Gong

Gong's sentiment analysis engine uses advanced natural language processing to analyze conversation tone, word choice, and engagement patterns to determine true buyer sentiment and identify buying signals that might otherwise go unnoticed. The AI examines not just what buyers say, but how they say it—detecting enthusiasm, hesitation, frustration, or disengagement through linguistic patterns and conversational dynamics. Sentiment is tracked across multiple conversations with the same buyer, revealing trends that indicate whether deals are gaining or losing momentum. Real-time alerts notify reps and managers when sentiment shifts significantly, enabling immediate intervention when buyers become disengaged or when positive signals indicate readiness to move forward. The platform also identifies specific buying signals like requests for proposals, discussions of implementation timelines, or questions about contract terms that indicate deal progression. Helps sales teams understand buyer engagement and adjust approach based on actual customer sentiment rather than assumptions, enabling more responsive and effective selling.

✓ Helps sales teams understand buyer engagement and adjust approach based on actual customer sentiment rather than assumptions, enabling more responsive and effective selling

Relevance AI

The platform integrates the latest large language models, including Anthropic's Claude Sonnet 4.5 with up to 1 million‑token context windows, and offers a "Bring Your Own LLM" option for custom deployments on AWS Bedrock. Delivers higher reasoning quality, longer context handling, and competitive performance for complex sales conversations.

✓ Delivers higher reasoning quality, longer context handling, and competitive performance for complex sales conversations

Gong

Gong's competitive intelligence capabilities automatically identify when competitors are mentioned in customer conversations and analyze the context of those discussions to reveal competitive dynamics and inform strategy. The platform tracks which competitors are mentioned most frequently, how they're positioned by buyers, and what objections or concerns customers raise about competitive alternatives. Win/loss analysis correlates competitive mentions with deal outcomes, revealing which competitors pose the greatest threat and which competitive messaging is most effective. The AI identifies specific objections customers raise about competitors and highlights successful responses from top performers, creating a playbook for competitive selling. Aggregated competitive intelligence across thousands of conversations reveals market trends, emerging competitors, and shifts in competitive positioning that might not be visible from individual deals. Enables data-driven competitive strategy and messaging refinement based on actual customer conversations, helping teams win more competitive deals and respond effectively to competitive threats.

✓ Enables data-driven competitive strategy and messaging refinement based on actual customer conversations, helping teams win more competitive deals and respond effectively to competitive threats