Type "conversational intelligence" into Google and you'll get two answers that have almost nothing to do with each other. The first is a 2013 leadership book by Judith E. Glaser about trust and the way humans talk to one another. The second is a category of AI software — the one Gong, Chorus, and Avoma built their businesses on — that records and analyzes sales calls. Same phrase, two different worlds.

This post unpacks both, because they get mixed up constantly (sometimes by the vendors selling them), and the confusion costs people real money when they buy the wrong thing.

The short answer

Conversational intelligence (usually written C-IQ) is a human skill — a framework for understanding how conversations build or destroy trust, from Glaser's 2013 book of the same name.

Conversation intelligence (two words, no "al") is software — AI that records, transcribes, and analyzes customer-facing calls to surface what actually happened on them.

And then there's conversational AI, a third thing people confuse with both: the chatbots and voice assistants that talk to customers. IBM puts the distinction cleanly — "conversational AI is the voice you interact with, while conversation intelligence is the brain working behind the scenes to make sense of those interactions."

Meaning 1: Conversational intelligence (C-IQ), the human skill

Glaser's book, Conversational Intelligence: How Great Leaders Build Trust and Get Extraordinary Results, argues that the quality of a conversation has real consequences for a team. Her framework sorts every conversation into three levels:

Level I — Transactional: tell-and-ask. Exchanging information and confirming what you already know. Low trust, necessary but shallow.
Level II — Positional: advocate-and-inquire. Defending a position and trying to win. Trust is conditional; this is where the "addiction to being right" lives.
Level III — Transformational: share-and-discover. Co-creating meaning and staying open to being changed by the other person. High trust, where breakthroughs happen.

Glaser's argument is that most workplaces never leave Levels I and II, and that the difference between a mediocre team and a great one is how often it reaches Level III. That's the human version — about leadership and relationships, not software.

Meaning 2: Conversation intelligence, the software

When a sales leader says "we just bought conversation intelligence," they mean the software. Here's what it does, in order:

Records every call and meeting — phone, Zoom, Google Meet, Teams.
Transcribes the audio to text, separating speakers.
Analyzes the transcript with NLP and machine learning — flagging keywords, competitor mentions, pricing objections, sentiment, and how much each person talked.
Scores and coaches — generating scorecards against your sales methodology, computing talk-to-listen ratios, and flagging moments where a rep missed a buying signal.

The output isn't a recording; it's a dashboard. IBM's definition captures it: the software "captures these interactions... then transcribes them and uses AI such as NLP and machine learning to identify key moments, customer sentiment, pain points and other data."

The category is crowded. Gong is the name most people know; Chorus (now part of ZoomInfo), Avoma, Fireflies, MeetGeek, and Fathom compete on the same ground. Gong's blog cites a market valuation of $22.8 billion, projected to reach $46.8 billion by 2033.

What it actually measures

If you're evaluating tools, these are the specific signals conversation intelligence surfaces:

Talk-to-listen ratio — how much the rep talks versus the buyer. A high ratio is usually a warning sign; it's a core coaching metric.
Keyword and competitor tracking — every time a competitor's name or a pricing term comes up, across thousands of calls.
Sentiment — whether the buyer's tone is positive, neutral, or turning negative.
Question rate — how many questions the rep asked versus statements made.
Scorecards — automated checks against your methodology ("did the rep set clear next steps?").
Coaching moments — specific timestamps where a better question or a different response would have changed the call.

The through-line: conversation intelligence turns calls from a thing you did into data you can coach against. Salesforce's guide makes the same point in one line — the goal is "to better understand their customers and improve their sales techniques, leading to more closed deals."

Why it stopped being sales-only

For years this was a sales tool, because sales teams have the most calls and the clearest ROI. That's changing. The same mechanics — recording, transcription, speaker separation, action-item detection — now apply to every kind of meeting: customer success reviews, engineering standups, hiring interviews, executive 1:1s, HR check-ins.

The broader term here is meeting intelligence: the same analysis, applied to any meeting rather than just revenue calls. A conversation-intelligence tool asks "what happened on that call?" A meeting-intelligence tool asks "what should happen because of this meeting — and is it actually happening?" That second question matters as much to an engineering lead as to a sales director.

Do you actually need it?

Conversation intelligence is worth it when calls are a bottleneck — when you can't coach every rep, when you keep losing deals for reasons you can't see, or when onboarding means "listen to 30 hours of calls." It's overkill when calls are rare or when nobody will review the output. A dashboard nobody opens is a subscription nobody needed.

The signal to look for isn't feature count; it's whether the tool turns analysis into the next action. Transcription alone won't change anything. The tools that matter connect what was said to what happens next — a follow-up drafted, an action item assigned, a CRM field updated.

Where Meetbook fits

Meetbook is the meeting-intelligence version of this idea. It joins Zoom, Google Meet, and Teams meetings automatically, transcribes them with speaker ID, and pulls out action items, decisions, and takeaways — for every meeting, not just sales calls. Where conversation intelligence asks "what happened on the sales call?", Meetbook asks "what did this meeting produce, and who's doing what next?"

If you want the sales-specific angle, our Meetbook vs Gong comparison breaks down where the two diverge, and we've written about why your sales calls are leaking money from the transcript evidence. If the speaker-separation piece caught your eye, here's a plain-English explainer on what speaker diarization is.

The bottom line

Conversational intelligence (C-IQ) — a human skill and leadership framework from Judith Glaser's 2013 book. About trust and the three levels of conversation.
Conversation intelligence (software) — AI that records, transcribes, and analyzes calls to surface talk ratios, keywords, sentiment, and coaching moments. Gong's category.
Conversational AI — chatbots and voice assistants that talk to customers. A different thing entirely.

Know which one you mean before you buy — the sales rep on the other side may not.

What Is Conversational Intelligence?