Has Social Intelligence Outgrown Social Listening?
A question that we get asked often at The Social Intelligence Lab is how to build a social intelligence function. It usually happens because someone has been given responsibility for SI for the first time, the function has moved into a new department, or there's a new leader, a new technology stack or a big market shift (hello AI).
It’s got me thinking about what we’re actually building the function to do. For a long time, the answer was relatively clear. Social intelligence grew out of social listening, and the function was largely built around the things social listening technology made possible. So, projects tended to focus on monitoring conversations, understanding what people were saying about a brand, spotting issues, measuring campaigns, and tracking reputation.
I tend to group much of this work into what I call the RRPs: risk, reputation and performance.
But the function doesn't end with the RRPs
RRPs have been central to social intelligence because they give the function a clear organisational job. Communications understands reputation and crisis, marketing understands campaign performance, and social teams understand monitoring. There is a known question, an identifiable stakeholder and usually something happening that the organisation already knows it needs to understand.
Our State of Social Intelligence research for 2026 shows that the RRPs still matter. Almost a third of practitioners say SI is most frequently required for ongoing monitoring and reporting, while 17% say it is primarily positioned as a risk and reputation function. But the same research points to a gap between where social intelligence is commonly used and where practitioners believe it can create the most value. Only 12% say SI is most frequently required for strategic planning, despite practitioners seeing greater strategic value when SI is involved at that stage.
What happens when we move upstream?
Some of the most interesting work I see happening across social intelligence now sits outside the traditional RRPs. Teams are looking at culture and how behaviours and expectations are changing. They're exploring categories, communities and emerging needs. Social intelligence is feeding innovation, product development, foresight and strategic planning.
You could argue that none of this is entirely new, that good practitioners have been doing this kind of work for years (and that would be true). What's changing, I think, is the possibility that the use cases beyond the RRP are becoming a more central part of what the function is there to do. Because there is a fundamental difference between monitoring a crisis and spotting a cultural change before the organisation has decided it matters. Or measuring the performance of a campaign and understanding an emerging behaviour that might influence what the next campaign should be about.
One responds to a question the organisation already knows it has, and the othermight tell the organisation which questions it should be asking. But organisationsaren't always structured particularly well for the second. Risk has an owner, reputationhas an owner, campaign performance has an owner. Culture is messier, and so arechanging behaviours, emerging needs, category shifts and the early signals thatmight eventually shape an innovation or strategy decision. They crossdepartments and don't always arrive neatly attached to a brief.
That creates a different job for social intelligence.
We’re working with more than social data
While the remit of social intelligence is changing, the evidence we are working to analyse is also expanding. I've increasingly been using the term digital evidence to describe the traces of behaviour, expression and interaction that people leave online. Social posts are part of that, but so are forums, reviews, search behaviour, video, creator content and other forms of online expression and behaviour.
And now we have something else to contend with. AI-generated answers aren't evidence of what people think or say. But they can tell us something about how machines are representing brands, people, issues and the world back to us. We can’t flatten all of these things into one big bucket of "social data". Taken together, the evidence environment available to social intelligence practitioners is considerably broader than the one the social listening function was originally built around.
A bigger opportunity for the function
Social intelligence has spent years trying to demonstrate its value. But much of the work we've traditionally used to demonstrate that value happens after an organisation has already decided what it wants to do. This doesn't mean social intelligence needs to leave risk, reputation and performance behind. Far from it. The opportunity is to stop allowing the RRPs to define the ceiling of the function.
Which brings me back to the question I started with. When someone asks how to build asocial intelligence function, we can talk about the team, technology, methods, governance and where it should sit. But before we build the function, we need to know what we want it to influence, because that changes what we build. So, has social intelligence outgrown social listening? Perhaps not. But it has outgrown the idea that listening defines the boundaries of what the function can do.