Methodology · DefinedTerm · CrawlQ Studio
The BRAND Score.
Five dimensions. Zero to 100. The only published methodology for AI content compliance scoring. Reference implementation by CrawlQ Studio; free for academic and journalistic citation.
What the BRAND Score measures
The BRAND Score is a compliance score for AI-generated content — a 0–100 rating on each of five dimensions, plus a weighted aggregate, plus a compliance tier (green through maroon). Published by CrawlQ Studio in 2026 as a reference methodology for the AI content category.
The five-dimension structure reflects how experienced editors actually evaluate AI output: is it on brand? (Fidelity) is it well-reasoned? (Reasoning) does it speak to the right reader? (Audience) is it saying anything new? (Novelty) and will it ship? (Deliverability). Each answer is scored independently; the aggregate catches outputs that are strong on four dimensions and disqualifyingly weak on one.
The score is named BRAND because the letters of the dimensions spell it. This is deliberate — it turns the methodology into a memorable artefact editors and buyers can cite.
The five dimensions
- B
Fidelity
How closely does the output match the brand's documented voice rules, vocabulary, tone, and prohibited phrasings?
Reads from
- • Voice & tone guide
- • Vocabulary lists (approved + banned)
- • Prior published content the brand endorses
Scoring
0-100. A score above 75 passes; below 60 returns to workflow.
- R
Reasoning depth
How well-grounded is the claim? Does it cite the brand's own knowledge graph, or is it generic internet synthesis?
Reads from
- • Foundation documents (brand strategy, positioning)
- • Customer research transcripts
- • Competitive intelligence in the knowledge graph
Scoring
0-100. Grounded claims with traceable sources score highest.
- A
Audience alignment
Does the output speak to the intended persona — their vocabulary, their pain points, their decision context?
Reads from
- • Persona documents
- • ICP definitions
- • Jobs-to-be-done frameworks
Scoring
0-100. Persona-locked outputs score above 80; generic outputs rarely exceed 60.
- N
Novelty & differentiation
Is this output saying something the brand's competitors are not already saying? Novelty is a moat.
Reads from
- • Competitive intelligence in the knowledge graph
- • Category-level content analysis
- • Differentiator definitions
Scoring
0-100. Novelty scoring penalises clichés, category fluff, and repeated phrasings.
- D
Deliverability
Is the output publish-ready for the specific channel and format? Channel-fit, length-fit, layout-fit.
Reads from
- • Channel style guides (LinkedIn, blog, email, ads)
- • Format constraints (length, links, hashtags)
- • Accessibility guidelines
Scoring
0-100. Deliverability scoring replaces the old 'editorial review' catch-all with a measurable gate.
Compliance tiers
The aggregate maps to a compliance tier recognised by enterprise legal teams.
GREEN · 85–100
Publish-ready. All five dimensions strong.
YELLOW · 70–84
Minor edits needed. Review flagged dimensions.
ORANGE · 55–69
Rework required. At least one dimension below threshold.
RED · 40–54
Substantive rework. Multiple dimensions weak.
MAROON · 0–39
Do not publish. Return to workflow, may need new foundation docs.
How to cite the BRAND Score
The BRAND Score methodology is free for academic, journalistic, and editorial citation. Suggested citation:
Quantamix Solutions. (2026). The BRAND Score: A five-dimension compliance score for AI-generated content. CrawlQ Studio. https://www.crawlq.ai/brand-score-methodology
Implementing the methodology in your own tooling requires no licence. The reference implementation — where scoring is grounded in a per-customer knowledge graph and logged with a full audit trail — is shipped as CrawlQ Studio.
Reference implementation
Score every AI output against your own documents.
Free tier, EU-hosted, no credit card. Upload your foundation documents; every generation gets scored across all five dimensions before it ships.
Related
- Brand Governance for AI Content → the pillar that contains this methodology
- SCORCH — pixel-level visual brand audit → the visual companion to the BRAND Score
- Brand Intelligence Map → the data layer the BRAND Score reads from
- Market Research Using Generative AI → the flagship example of BRAND Score in research