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Solution: Topic & Entity Tracking

Track brands, products, and topics by meaning, not by keyword.

Keyword search misses everything that matters. Gossip Insights recognizes brands, products, people, and topics in spoken conversation the way a person would, then tracks each one with its own sentiment, context, and trend.

Live · Multi-entity intelligence · GB

Now playing

Podcast
S

Stratechery410K subs

Apple, agents, and the next browser war

6m ago · 38K plays

0:311:48
Ben Thompson0:31

...the interesting thing is that Apple has the device, the silicon, and the trust. They're not going to lose this on the model. Compare that to where Google sits, which is fundamentally a search company trying to ship an answer engine without breaking its own cash cow...

Brand sentiment+0.58
Also tracked
41
73
19

Beyond strings

We index meaning, not text matches.

A keyword search for "Apple" returns the company, the fruit, and a hundred song titles. Gossip Insights distinguishes between them by context. A mention of "Apple" in a tech podcast credits Apple Inc. A mention of "apple" in a recipe does not. That single distinction, entity-level recognition, is what makes spoken intelligence usable instead of noise.

Now playing

Podcast
TV

The Vergecast290K subs

Apple's quiet AI play (and why nobody noticed)

23m ago · 52K plays

0:182:11
Nilay Patel0:18

...so when Apple shipped the on-device model in iOS, they basically declared the next platform fight. The fruit company has more privacy moat than the entire ad industry combined, and that matters more than benchmarks right now...

Brand sentiment+0.46
Also tracked
84
152
47

Multiple entities, multiple meanings

One sentence can credit one brand and criticize another.

Real conversations rarely talk about one thing at a time. A reviewer says "I love Porsche, but Ferrari has the better interior", and that is one sentence with two entities and two opposing sentiments. Gossip scores each entity independently, so your share-of-voice and sentiment dashboards reflect what was actually said about you, not what was scattered across the same paragraph.

Now playing

YouTube
C

Carwow8.7M subs

Porsche 911 vs Ferrari Roma: which one would you actually live with?

1h ago · 614K plays

4:1211:24
Mat Watson4:12

...honestly, I love how the Porsche feels at speed, the steering is just unreal and the seats are perfect for a long drive. The Ferrari, though, the interior plastics are not where they should be at this price, and the infotainment lag is genuinely frustrating...

Brand sentiment+0.72
Porsche scored +0.72 · Ferrari scored −0.41 · same clip, two entities.

Conversations, not just mentions

Track topics and narratives, not just brand names.

Sometimes the most important conversations do not mention you by name. A surge in podcast episodes about "battery range anxiety" matters to every EV maker, whether or not their brand is mentioned. Gossip tracks topics and narratives the way it tracks entities, with structure, sentiment, and trend lines, so you can see where the conversation is heading before competitors do.

Topic momentum

Live · 14dGB
Battery range anxiety671mentions+700%
AI hallucinations443mentions-60%
"Battery range anxiety" up 700% in the window, surfacing in EV creator reviews before any brand was named.

The difference

Before and after.

Without Gossip Insights
With Gossip Insights

A search for "Apple" returns the company, the fruit, and a hundred song titles in one stream.

Apple Inc. is recognized in tech contexts, ignored in recipes, and never confused with the song.

A clip that praises Porsche and criticizes Ferrari is logged as a single positive mention for both.

Porsche and Ferrari each get their own sentiment in the same clip, scored independently.

Conversations about "battery range anxiety" fly under the radar unless your brand name is mentioned.

Topics and narratives get the same treatment as brands, with their own trend, tone, and reach.

Disambiguation is left to humans on the analyst team, after the fact.

Disambiguation happens at index time, before anything reaches your dashboard.

What customers say

Real results, in their own words.

We managed to catch a potentially damaging conversation about our products thanks to Gossip.
Kamilla Abrahamsen

Kamilla Abrahamsen

Communication Manager, Tomra Systems ASA

The insight is precise, sometimes brutally so. It is extremely valuable to see how we succeed (or fail) in our quest for relevant visibility.
Paal Leveraas

Paal Leveraas

CEO, Tilt.works

Gossip saves us time and is informative, allowing us to pick up on developments in the political debate more quickly.
Marius Doksheim

Marius Doksheim

Head of Insight, Civita

Included capabilities

Entity disambiguation
Topic & narrative tracking
Multi-entity sentiment
Real-time alerts
Multi-language
TikTok · YouTube · Podcasts · Twitch

See entity-level intelligence in your category.

We'll wire up a live view of how Gossip recognizes the brands, products, and topics that matter in your category, with sentiment scored per entity.

Request a demo

What you'll get from the demo

  • Live disambiguation across spoken media for the brands you care about.
  • Multi-entity sentiment in clips that mention you alongside competitors.
  • Topic and narrative tracking around the conversations that move your category.

Live data

Track the data for any brand.

Gossip tracks thousands of brands in real time. Click any logo to explore live spoken intelligence. No sign-up required.