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Social Intelligence Scorecard
Topic Focused Scorecard (TFS)

Name the topic. We’ll measure the market.

The Topic Focused Scorecard (TFS) measures marketplace interest in any topic, issue, or category you can name, across the open web and the AI answer engines your audience now asks first. A fast, affordable read on whether attention is rising, and how the topic is being framed.

Example TFS Datapoint
Topic: “EV home charging” · KPI breakdown
Volume of Mentions 4.3 / 5
Reach Amplification 3.9 / 5
Positive Sentiment 3.6 / 5
Negative Sentiment 1.8 / 5
Quick delivery
receive TFS report within 10 days
Fixed cost
a low-risk entry point, no surprises
4 KPIs
measured across thousands of online conversations
Any topic
theme, issue, or category you can imagine
No guessing. Just listening.

One topic can define a reputation. We reveal what the market believes and what answer engines are telling the world.

Before you invest in a survey or host a focus group, make social intelligence a core part of your marketplace research. The Topic Focused Scorecard (TFS) delivers a concise summary of voice-of-consumer feedback on the topics and issues you care about: fast, affordably, and reliably.

We engineered the TFS to quantitatively measure interest in any topic across thousands of open-web conversations and the AI answer engines, so you see not only what people are saying, but what ChatGPT, Gemini, Perplexity, and Google’s AI Overviews say when someone asks about the subject.

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What we measure

Four data points. One clear view of any topic.

Every TFS scores your chosen topic across the same four measures, drawn from open-web conversation and how the AI answer engines represent the subject.

01

Volume of Mentions

How loud the topic is: raw share of conversation, and how often AI engines surface it at all.

02

Reach Amplification

How far it travels: the audience size those mentions and AI citations actually reach.

03

Positive Sentiment

What’s driving interest in your favor, across human conversation and how AI answer engines frame the topic.

 

04

Negative Sentiment

The risks and inaccuracies to get ahead of – including what the answer engines get wrong about the subject.

 

The data behind it:

Pure conversational data collected from across the open web – including news, blogs, forums, review sites, and social media – combined with an analysis of how leading AI answer engines represent the topic. Typical analysis covers the previous 6–12 months of topic-focused conversations which can be properly filtered for noise and geotargeted to any state, country, or international region.

How teams put it to work

Start with one topic. Grow from there.

Whether you’re validating a hypothesis before investing in research, understanding audience perceptions, or creating content that AI answer engines will actually cite, the TFS delivers immediate, actionable intelligence and scales seamlessly into deeper analysis whenever you’re ready.

Pre-research gut check

A fast, honest read on how a topic or issue is really landing, before you invest in a survey or focus group.

Content & AEO strategy

See which topics answer engines already associate with you (and where the gaps are) so you can create content AI will source and cite.

Issue & reputation monitoring

Track emerging issues, measure reputation shifts, and identify inaccurate AI narratives early.

Part of the SIS family

One of three scorecards.

Same speed, same fixed cost, same core KPIs, each pointed at a different question. Got a specific project in mind? Explore the others.

Proof it works

Topic insights in action.

Real engagements, real topics. Here’s one example of a Topic Focused Scorecard in action: how an organization used the TFS to measure marketplace interest in the issues that mattered to it, and what it did with the answers.

All case studies

Ready to turn one topic into
real market intelligence?