Prompt

What's the best speech analytics platform for analyzing call sentiment and topics across support and sales conversations?

Latest observation

Jul 20, 2026 · OpenAI APIWeb search: off

There isn’t one universal “best” speech analytics platform for every team, but for call sentiment + topic analysis across both support and sales, these are usually the strongest options:

Best overall for many teams: Gong

Why it stands out

  • Excellent at conversation intelligence for sales
  • Strong topic detection, keyword tracking, deal risk signals, and coaching insights
  • Good sentiment / engagement indicators
  • Mature UI and workflow for revenue teams

Best for

  • Sales orgs, revenue ops, enablement, and teams that want actionable insights from calls

Tradeoff

  • Less ideal if your primary use case is deep contact-center / support QA rather than sales

Best for support/contact center analytics: CallMiner

Why it stands out

  • Very strong speech analytics for support and CX
  • Excellent sentiment analysis, call categorization, compliance, QA, and trend detection
  • Good for large-scale call center operations

Best for

  • Support teams, QA, compliance-heavy environments, and contact centers

Tradeoff

  • Sales coaching and pipeline-focused workflows are not as polished as Gong

Best unified option across sales + support: Observe.AI

Why it stands out

  • Good balance of speech analytics, QA, coaching, and automation
  • Strong for support teams, but also usable for broader customer conversation analysis
  • Helpful for topic discovery, sentiment, and agent performance insights

Best for

  • Teams that want one platform spanning support and some sales/CS use cases

Tradeoff

  • Sales-native insights are typically not as strong as Gong

Other strong contenders

  • Chorus by ZoomInfo – strong for sales conversation intelligence
  • Verint – enterprise-grade contact center analytics and workforce tooling
  • NICE CXone – broad CX/contact center suite with analytics
  • Zoom Contact Center / Zoom AI Companion – improving, but not usually top choice for advanced analytics

Quick recommendation

If you’re analyzing:

  • Mostly sales callsGong
  • Mostly support callsCallMiner
  • A mix of both support and salesObserve.AI is often the best compromise

What to look for in a platform

Make sure it has:

  • Accurate transcription
  • Reliable sentiment analysis
  • Strong topic clustering / categorization
  • Speaker separation
  • Search and trend reporting
  • Integrations with your CRM/helpdesk
  • Security/compliance features
  • Coaching/QA workflows if agents are involved

If you want, I can also give you a side-by-side comparison table of Gong vs CallMiner vs Observe.AI for your exact use case.

Observation history

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How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.