Read the conversation around your brand, with the sources attached.
Point the platform at the links, comments and brand profiles you care about. It clusters mentions into narratives, extracts reputation themes, and flags coordinated or inauthentic activity with the evidence shown.
Narrative & Market Signal Graph
- Competes with
- Mentions
- Supporting evidence
| Entity | Type | Related to | Relationship |
|---|---|---|---|
| Your Brand | Your Brand | Competitor | Competes with |
| Your Brand | Your Brand | "Pricing is too high" | Mentions |
| Your Brand | Your Brand | "Fast onboarding" | Mentions |
| "Pricing is too high" | Narrative | Comment cluster (flagged) | Supporting evidence |
| "Pricing is too high" | Narrative | Review site | Supporting evidence |
| "Fast onboarding" | Narrative | News article | Supporting evidence |
Scope, stated plainly. Market Intelligence here means signals from public sources you provide: URLs, comments and brand profiles. It does not include syndicated market-size, category-demand or panel data.
Sentiment scores hide the stories underneath.
A single sentiment number cannot tell you that pricing complaints are growing while onboarding praise is stable. Teams end up reading threads one by one.
And volume can mislead: a burst of near-identical comments is a different signal from a burst of genuine ones.
Themes are buried in threads
Recurring topics only emerge when mentions are grouped.
Not every voice is genuine
Similar wording, timing and account patterns change how a spike should be read.
Sources are treated alike
A review site, a news article and a forum post carry different weight.
From raw mentions to narratives you can review.
Add sources
Analyse a URL, import comments, or create a brand profile.
Sources are classified and entities extracted
The source type is identified and organisations or products are matched to your tracked brands.
Mentions are clustered into narratives and themes
Similar mentions are grouped, scored and labelled so recurring stories stand out.
Risk and authenticity signals are checked
Content patterns, similarity and coordination indicators are surfaced with their evidence.
Relationships are mapped
The intelligence graph links brands, competitors, domains, themes and clusters.
Signals it reads
- Recurring themes per brand
- Reputation snapshots over time
- Clusters of related mentions
- Narrative scoring and events
- Comment similarity and risk indicators
- Authenticity and coordination signals
Intelligence you can act on, with the evidence attached.
Intelligence produced
- Narrative clusters with labels and scores
- Reputation themes and snapshots per brand
- Comment clusters and risk flags with excerpts as evidence
- A relationship graph across brands, competitors, domains and themes
Recommended actions
- Prioritise the theme that is growing fastest
- Respond to, or investigate, a flagged cluster
- Turn a recurring complaint into a tracked action
- Compare narratives around you and a competitor
What changes for the team.
Themes, not threads
Recurring stories are grouped so reading time goes to what repeats.
Calibrated trust
Authenticity signals show when a spike may not be organic.
Shared context
The graph keeps brands, sources and themes connected for the whole team.
Evidence on hand
Every label links to the mentions that produced it.
Who reaches for it, and why.
Brand and comms teams
Track how a launch or incident is being discussed and by whom.
Community managers
Review comment clusters for coordinated or low-authenticity activity.
Strategy teams
Compare the narratives around your brand and competitors.
Related capabilities, tools and reading.
Questions people ask first.
Where does the data come from?
From the URLs, comments and brand profiles you add. The platform does not sell or supply market datasets.
Can it detect fake reviews?
It surfaces authenticity and coordination signals with evidence. These are indicators to review, not verdicts.
Is sentiment machine-learned?
Sentiment uses a transparent lexicon-based approach, so scoring is repeatable.
See what is moving your numbers.
Install one tracking snippet and start reading your own data. Or ask for a walkthrough first.