Portfolio report: conglomerate
Bank of America averages Panel Score 23 across 4 tracked brands
4 tracked brands across 4 segments on the mapou Panel, measured on ChatGPT, Gemini and Claude monthly, with Perplexity and Grok quarterly. Strongest: Bank of America Mortgage (Panel Score 45 in mortgages).
- Aggregate Panel Score
- 23
- Tracked brands
- 4
- Segments
- 4
- Default choice / Repeat use
- 0 / 0
Finding 1
Bank of America Mortgage is the strongest brand in the Bank of America portfolio, at Panel Score 45
Every tracked brand Bank of America owns, sorted by Panel Score. Brands without data yet sit at the bottom.
| Brand | Segment | Tier | Panel Score |
|---|---|---|---|
| Bank of America Mortgagebankofamerica.com/mortgage | mortgages | Stage 1 | 45 |
| Bank of Americabankofamerica.com | banking | Stage 1 | 32 |
| Bank of Americabankofamerica.com | credit cards | Pre-stage | 8 |
| Merrill Edgemerrilledge.com | investing platforms | Pre-stage | 7 |
Source: mapou Panel, latest canonical run per segment.
Finding 2
0 of 4 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
- 2
- 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 Bank of America'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.