Conversation Intelligence
Also known as: conversation analytics, call analytics AI
Conversation intelligence is the use of AI to analyze recorded and transcribed calls at scale (spotting keywords, topics, outcomes, and sentiment) to surface insight no one could gather by hand.
Conversation intelligence applies speech and language models to your calls so the content of conversations (not just the fact that they happened) becomes data. It can flag which calls were genuine leads, what callers asked about, whether a booking was made, and how the caller felt.
Built on call transcription, it powers automatic lead scoring and sentiment analysis. See conversational analytics tools.
Frequently asked questions
What does conversation intelligence detect?
Typical signals include keywords and topics mentioned, whether the call was a qualified lead, whether an appointment was booked, competitor mentions, and the overall sentiment of the conversation.
How is it different from manually reviewing calls?
Manual review covers a handful of calls a week; conversation intelligence processes every call automatically and tags them consistently, so trends across thousands of conversations become visible without anyone listening to each one.
Which industries benefit most from conversation intelligence?
High-consideration, phone-driven verticals gain the most — legal, insurance, healthcare, home services, automotive, and financial services — where calls are long, high-value, and worth scoring for lead quality, appointment booking, and compliance. Agencies serving these clients use it to prove call quality, not just call volume.
Related terms
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