Portfolio report: conglomerate
Samsung Electronics averages Panel Score 10 across 2 tracked brands
2 tracked brands across 2 segments on the mapou Panel, measured on ChatGPT, Gemini and Claude monthly, with Perplexity and Grok quarterly. Strongest: Samsung SmartThings (Panel Score 18 in smart home brands).
- Aggregate Panel Score
- 10
- Tracked brands
- 2
- Segments
- 2
- Default choice / Repeat use
- 0 / 0
Finding 1
Samsung SmartThings is the strongest brand in the Samsung Electronics portfolio, at Panel Score 18
Every tracked brand Samsung Electronics owns, sorted by Panel Score. Brands without data yet sit at the bottom.
| Brand | Segment | Tier | Panel Score |
|---|---|---|---|
| Samsung SmartThingssmartthings.com | smart home brands | Pre-stage | 18 |
| Samsung Galaxy Booksamsung.com/us/computing | laptops | Pre-stage | 2 |
Source: mapou Panel, latest canonical run per segment.
Finding 2
0 of 2 measured brands reach repeat use or better
How the measured brands split across the four behavioural stages. A portfolio with many brands below repeat use is mostly absent when buyers ask AI for recommendations, whatever its strongest brand scores.
- Default choice
- 0
- Repeat use
- 0
- First encounter
- 0
- Not yet cited
- 2
How we measured this
- Aggregate Panel Score
- The mean Panel Score of every tracked brand the company owns that has a score, rounded to the nearest point.
- Ownership
- Each tracked brand is mapped to its direct corporate parent from the panel's brand metadata. Parents with fewer than 2 tracked brands are left out.
- Engines
- ChatGPT, Gemini and Claude monthly. Perplexity and Grok quarterly. Each engine counts equally.
- Stages
- Default choice (Panel Score 75+), Repeat use (50 to 74), First encounter (25 to 49), Not yet cited (under 25).
The full portfolio view lives in the app
For Samsung Electronics's portfolio team, app.mapou.ai carries Persona-Tuned Panel Score per brand weighted by your actual buyer mix, cross-engine spread analysis, sub-brand cannibalization detection, M&A intelligence on target portfolios and trend lines over time.