Top of Mind
6.7
How your brand is perceived through the lens of your category’s buyer, across five statements.
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#829 Lumonic
Top of Model
0.8
How often AI models recommend your brand, and how prominently you appear when they do.Composite
3.7
Your overall TOM Index score: 50% Top of Mind + 50% Top of Model, scored from 0–100.Top of Mind
How buyers see Lumonic
Distinctiveness
Measures whether your brand stands out from others in the category.
8.3
Trust
Measures whether your brand provides enough evidence for buyers to believe its claims.
8.3
Resonance
Measures whether your brand feels relevant to the buyer’s role and situation.
8.3
Confidence
Measures whether your brand gives buyers enough confidence to move into active evaluation.
8.3
Top of Model
How AI sees Lumonic
Buyer Scenarios
Measures whether AI connects your brand to specific buyer roles, needs, and real-world use cases.
2.3
How the category leaders compare
The three highest-ranked other brands in Enterprise Applications, scored on the same dimensions.
#1 SAP
Top of Mind
Distinctiveness:66.7
Clarity:50.0
Trust:66.7
Resonance:50.0
Confidence:83.3
Top of Model
Category Discovery:64.0
Buyer Scenarios:54.6
Executive Visibility:45.2
#2 Oracle
Top of Mind
Distinctiveness:75.0
Clarity:58.3
Trust:50.0
Resonance:41.7
Confidence:75.0
Top of Model
Category Discovery:58.9
Buyer Scenarios:50.8
Executive Visibility:34.6
#3 Microsoft
Top of Mind
Distinctiveness:75.0
Clarity:50.0
Trust:50.0
Resonance:50.0
Confidence:58.3
Top of Model
Category Discovery:49.2
Buyer Scenarios:47.7
Executive Visibility:38.7
This Snapshot covers all five Top of Mind dimensions and three of the five Top of Model dimensions, scored against publicly observable signals. It does not include the two dimensions that require a named competitive set built for you (Buying Committee Consideration and Evaluation), or the prioritized, dimension-by-dimension action plan. Those live in the full Brand Visibility Audit.
Want to know what your TOM Score is really telling you?
Book My ReviewThe TOM Index is StudioNorth research, built from publicly observable signals. These scores were prepared for Lumonic; we just ask that you check with us before republishing them. Scores reflect a point-in-time view and are refreshed monthly, using a consistent, repeatable rubric based on independent research.