Prompt
What's the best speech analytics platform for analyzing call sentiment and topics across support and sales conversations?
Latest observation
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 calls → Gong
- Mostly support calls → CallMiner
- A mix of both support and sales → Observe.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
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,
Meta AI,
Qwen.
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