Voxscope
How Voxscope is used day to day.
Voxscope is used wherever someone needs to know who speaks, what they say and how much their voice weighs in a specific sector. Four common scenarios.
PR agency — voice mapping per client
The account team receives every week the updated ranking of relevant voices for their client, with score, dominant topics and active platforms. Saves days of manual research and avoids missing an emerging opinion leader.
- Weekly ranking per client, always up to date
- Detection of emerging voices already mentioning the client
- CSV/PDF export ready for the reporting pack
Sara Molina
Prensa · @sara.molina
Ignacio Prat
LinkedIn + X · @nachopr
Nur Kahal NEW
TikTok · @nurkahal
Communications leadership — reputation radar
The brand team sees in real time which voices are setting the agenda in their sector: which are rising, which are falling, which narratives gain traction. Basis for deciding when to step in and with whom to collaborate.
- Alerts when a new narrative appears in the sector
- Notice when a specific voice spikes sharply
- Notification by email, Slack or webhook to your team channel
New dominant narrative: excessive pricing
@sara.molina · +48% mentions in 24h
New relevant voice: @nurkahal
Institutional observatory — public debate analysis
A ministry, sector body or think tank monitors who talks about the topic, how often, on which platforms and with what relative weight. Full auditability for citing in public reports.
- Relative weight of each narrative in the public debate
- Time series with traceability to cite in official reports
- Opinion leader coverage by platform and language
Sustainability and energy transition
78%EU regulation of AI
54%Housing and cost of living
41%Youth mental health
22%Urban mobility and electric cars
12%Research team — KOL dataset
Enriched author profiles, impact metrics and time series, with the full history visible and downloadable. Starting material for sector studies and academic work.
- Per-author record with 12 months of history
- CSV and PDF download for analysis work
- Metrics comparable across authors, platforms and languages
| Voice | Reach 30d | Score |
|---|---|---|
| @sara.molina | 14,3 M | 89 |
| @nachopr | 3,1 M | 82 |
| @lauravidal | 1,7 M | 74 |
| @nurkahal | 0,9 M | 68 |
Your scenario not here?
Voxscope is calibrated per sector. Tell us what you need to measure and we set up a sample universe of voices on your sector in under 48h.
ContactResponse in under 24h · Live in 48h