The science behind the score

Evidence in. Attachment measured.

Brand Love 100 distinguishes genuine consumer attachment from ordinary visibility, then makes that attachment comparable across brands.

Three evidence sources0–100Brand Love ScoreAI evidence weight: 0%

Source architecture

Consumer evidence—not generated opinion.

Each source reveals a different expression of attachment. Coverage and contribution are shown separately so volume cannot be mistaken for depth.

44% reference mix

Culture, identity, advocacy and community expressed in public conversation.

34% reference mix

Product experience, loyalty, satisfaction and disappointment after use.

22% reference mix

Deeper comparison, expertise and long-term attachment in communities.

AI is the interpretation layer.

It classifies and organizes observed evidence. It never counts as a consumer source and has zero direct influence on the BLS.

Measurement pipeline

The public product reveals the evidence chain and robustness of each result while protecting the proprietary scoring recipe.

Consumer expressions are gathered across authorized source environments.

Noise, spam and ordinary informational mentions are separated from relationship evidence.

Expressions are assessed for the strength and character of attachment.

Results are placed on a consistent 0–100 scale against the appropriate field.

What the BLS is—and is not

A consistent score enables meaningful comparison across the eligible competitive field.

Every published result carries source coverage, period, confidence and methodology lineage.

Machine interpretation is tested against structured human judgement and monitored for drift.

See the system working