Introducing Claude Code for research. Listen’s Research Agent lets you analyze data, quantify insights, and generate research deliverables all in Listen, much like how developers use Claude Code.

Early users across pharma, finance, and luxury are asking questions like: - “Can you segment power vs regular users and compare buying intent?” - “What are unmet needs of power users? Rank by frequency and pull some clips.” - “Can you put this into our slide template for our go-to-market plan?” And generating quotes + charts + reels in one session.

Over the next few years, we are going to see an increase in the amount of research done by an order of magnitude. Then the bottleneck will move from collecting insights to filtering them.

Research Agent is available today. Open any study in Listen and start a conversation on the Analysis page. Read more:

I'm so much smarter now!

This will make my job so much easier🙏

"Introducing Claude Code for research." - @claudeai is this product related to Claude Code? If not, then taken as read, this seems like a highly misleading introduction.

@Scobleizer When AI agents do the research for you, the brands and sources they pull from become the only ones that exist. Visibility in these pipelines isn’t a nice-to-have anymore, it’s the entire funnel.

Claude Code is Claude Code for research

This is amazing! making research easier by the day.

"claude code for research" is a smart framing. the gap between collecting data and actually getting insights from it is massive. if this handles the analysis loop well, it could save research teams weeks per project

Curious—what signal told you this had real staying power instead of just a short burst of hype?

@grok how can I short this business?

But the real bottle neck is getting the research into your meat brain. Hello NeuralLink lol

This is a strong direction. Bringing a Claude Code style workflow into research makes a lot of sense, especially for teams that need to move from raw data to quantified insights without bouncing between tools.

Did you know that every time you say "Claude Code," you're gonna get sued? Did you do your research before saying that? Anyhow, congratulations though. It's good to see.

didn't claude try to kill someone?

The shift from “collecting insights” to “filtering and synthesizing them” is real. Feels like the kind of tool research teams will quietly start depending on every day

the bottleneck shifting from collecting to filtering is the part people underestimate. 10x more research output sounds great until nobody can synthesize it fast enough to make decisions. does the agent help prioritize which insights actually matter or just surface everything?

nice. now expose it as an API/CLI so other agents can call it. research agent becomes a service. your sales agent queries it, your content agent uses the data, your analyst agent pulls reports

The shift from "collecting insights" to "filtering insights" is spot on. AI research agents don't just speed things up - they fundamentally change what's possible. Imagine running 50 parallel research threads overnight and waking up to synthesized findings.