Campbell Soup
Campbell Soup ranks joint 14th of 53 in US FMCG, with a Visibility score of 15.4 out of 100. It was not in this ranking in March 2026, when the list had 21 employers. AI recommends it most for innovation, career growth and the hiring process, among others. PepsiCo leads the ranking, 71.8 points ahead of Campbell Soup. AI also ranks it in 2 other countries, best placed 22nd in Canada.
What candidates ask about
Campbell Soup is not AI's top pick in US FMCG for any topic yet. AI does not recommend Campbell Soup at all for pay, leadership, purpose, culture, interviews and onboarding.
| Topic | Does AI recommend Campbell Soup? | Who AI recommends most | |
|---|---|---|---|
| Pay | Not mentioned | PepsiCoProcter & GambleCoca-Cola+1 more | |
| Innovation | Yes | PepsiCoProcter & GambleCoca-Cola+1 more | |
| Leadership | Not mentioned | PepsiCoProcter & GambleCoca-Cola+1 more | |
| Purpose | Not mentioned | PepsiCoProcter & GambleCoca-Cola+3 more | |
| Hiring process | Yes | PepsiCoProcter & Gamble | |
| Career growth | Yes | PepsiCoProcter & GambleCoca-Cola+2 more | |
| Culture | Not mentioned | PepsiCoProcter & GambleCoca-Cola+1 more | |
| Work-life balance | Yes | PepsiCoProcter & GambleGeneral Mills+1 more | |
| Inclusion | Yes | PepsiCoCoca-ColaUnilever | |
| Interviews | Not mentioned | PepsiCoProcter & GambleCoca-Cola+3 more | |
| Onboarding | Not mentioned | PepsiCoProcter & GambleCoca-Cola+1 more | |
| Job security | Yes | Procter & GambleNestlé |
Take control of how AI presents Campbell Soup
Visibility is only the start. PerceptionX shows how AI describes Campbell Soup next to its rivals, the themes and sources behind it, and exactly what to change to win the candidates you want.
Top five in US FMCG
- 1PepsiCo87.2
- 1Procter & Gamble87.2
- 3Coca-Cola82.1
- 4General Mills69.2
- 4Unilever69.2
Employers near Campbell Soup in US FMCG
- 11Johnson & Johnson25.6
- 12Hershey17.9
- 12Kimberly-Clark17.9
- 14Kraft Heinz15.4
- 16Clorox12.8
Questions about Campbell Soup
What is Campbell Soup's reputation as an employer, according to AI?
It is joint 14th of 53 FMCG employers in the US. AI recommends it most for innovation, career growth and the hiring process, among others.
What does Campbell Soup's Visibility score mean?
It is how often AI recommends Campbell Soup when job seekers ask about FMCG employers in the US, out of 100. A higher score means candidates are more likely to hear about Campbell Soup when they ask AI where to work.
How does Campbell Soup compare to its competitors?
PepsiCo and Procter & Gamble are recommended more often overall.
Why are Sentiment and Relevance locked?
They are part of the full picture. This page shows how often AI recommends Campbell Soup. Sentiment shows how positively AI describes it, and Relevance shows whether AI recommends it to the people Campbell Soup wants to hire.
How can Campbell Soup improve its score?
AI learns about employers from what is written about them: careers pages, reviews, press and what employees share. PerceptionX shows which topics and sources are holding an employer back, and what to change first.
How often is Campbell Soup's data updated?
Rankings refresh with each new round of AI answers. Each page shows the date its data was updated, and the arrows next to each score show how an employer has moved since the previous measurement.
Does Campbell Soup need to be a PerceptionX customer to appear here?
No. Any employer AI recommends often enough appears automatically. Customers get the full picture behind their Visibility score and well beyond it: how positively AI describes them (Sentiment), the themes it links them with, the sources it relies on, custom reports by country and role, and clear steps to improve how candidates see them.
What does the full picture include?
Visibility is one of several metrics. Customers also see Sentiment (how positively AI describes them) and Relevance (whether AI recommends them to the people they hire), the themes AI links them with, the sources AI relies on, custom reports built around their own countries, roles and rivals, and specific recommendations for improving how candidates see them.