Artisan (Ava) vs Gong

Artisan (Ava)

Ava taps into a curated database of over 300 million verified B2B contacts, pulling data from dozens of sources (technographics, funding events, hiring news, social signals). The AI enriches each prospect in real time, ensuring that outreach is based on the latest firm‑level intelligence. This depth of data reduces manual research time, improves targeting accuracy, and enables hyper‑personalized messaging that resonates with the prospect’s current context. Higher prospect relevance and faster pipeline building

✓ Higher prospect relevance and faster pipeline building

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

Artisan (Ava)

Using a proprietary LLM pipeline, Ava writes emails and LinkedIn messages that adapt tone, style and call‑to‑action to each individual prospect. The system employs a "Personalization Waterfall" that selects the most specific data point (e.g., recent funding, product launch) for inclusion, creating messages that read as if drafted by a senior sales rep. This results in higher open and reply rates compared with generic templates. Improved engagement metrics and response rates

✓ Improved engagement metrics and response rates

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

Artisan (Ava)

Ava orchestrates multi‑step sequences across email and LinkedIn, automatically adjusting timing based on recipient behavior (opens, clicks, replies). At Level 2 autonomy she can send messages, follow‑up, and even book calendar slots without human approval, while providing a live dashboard for managers to monitor performance. Scalable outreach with minimal manual oversight

✓ Scalable outreach with minimal manual oversight

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

Artisan (Ava)

The platform includes built‑in warm‑up, mailbox health monitoring, dynamic sending limits, and signature rotation to keep sender reputation high. Bounce testing and placement analytics ensure that high‑volume campaigns land in the inbox rather than spam folders, a common pain point for outbound teams. Higher inbox placement and reduced spam complaints

✓ Higher inbox placement and reduced spam complaints

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

Artisan (Ava)

Every new customer receives a dedicated Customer Success Manager who runs a kickoff call, configures integrations (Slack, HubSpot, Salesforce), and fine‑tunes the AI’s messaging style. Ongoing quarterly business reviews and custom SLA options help enterprises align Ava’s performance with revenue goals. Rapid time‑to‑value and ongoing optimization

✓ Rapid time‑to‑value and ongoing optimization

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