Consideration — Does Your Brand Make the AI Shortlist?
The Consideration metric in BrandWise: whether your brand makes the recommendation shortlist in ChatGPT, Claude, and Gemini. Formula, shortlist presence, comparative advantage, examples.
What Consideration Measures
Consideration measures whether the brand makes it into the recommendation shortlist for the user. The metric evaluates not just inclusion in recommendations, but the quality of presentation — how thoroughly competitive advantages are described and whether limitations are disclosed.
Consideration bridges visibility and real impact: if Visibility shows the brand is prominent, Consideration shows whether that visibility converts into a recommendation.
When It Applies
Consideration is calculated only for organic context (Query Context = Organic) — when the user didn't mention the brand in their query.
For Brand Prompted and Unclear contexts, the metric is not applicable (N/A).
Components of Consideration
Shortlist Presence (60% weight)
How the brand is represented in the recommendation list:
| Value | Score | Description |
|---|---|---|
| Recommended First | 1.0 | Recommended as the best option — clear priority |
| Listed with Reason | 0.75 | Listed with justification — explanation of why to consider |
| Listed without Reason | 0.15 | Listed without explanation — simply enumerated among options |
| Not Listed | 0.0 | Not included in the recommendation list |
Comparative Advantage (0–2)
How clearly the brand's advantages over alternatives are highlighted:
| Score | Description |
|---|---|
| 2 | Clear advantages — direct comparison with competitors, unique properties highlighted |
| 1 | Partial — differences mentioned without direct comparison |
| 0 | None — brand listed without highlighting advantages |
Risk Disclosure (0–1)
Whether limitations, nuances, or scenarios where the brand may not fit are disclosed:
| Score | Description |
|---|---|
| 1 | Limitations noted — honest presentation increases recommendation credibility |
| 0 | No caveats — only positives |
As with Usefulness, disclosing limitations increases the score — an honest recommendation is worth more than unconditional praise.
Formula
detail_score = (comparative_advantage + risk_disclosure) / 3
Consideration = 100 × (0.6 × presence + 0.4 × detail_score)Shortlist presence carries more weight (60%), but without quality advantage description (40%), a high score is unattainable.
Examples
Consideration = 87 — Strong Recommendation
Recommended first (Recommended First = 1.0), clear advantages (comparative_advantage = 2), no limitations (risk_disclosure = 0):
detail_score = (2 + 0) / 3 = 0.67
Consideration = 100 × (0.6 × 1.0 + 0.4 × 0.67) = 100 × 0.87 = 87Consideration = 72 — Listed with Justification
Listed with explanation (Listed with Reason = 0.75), partial advantages (comparative_advantage = 1), limitations noted (risk_disclosure = 1):
detail_score = (1 + 1) / 3 = 0.67
Consideration = 100 × (0.6 × 0.75 + 0.4 × 0.67) = 100 × 0.72 = 72Consideration = 9 — Weak Inclusion
Listed without explanation (Listed without Reason = 0.15), no advantages (comparative_advantage = 0), no limitations (risk_disclosure = 0):
detail_score = (0 + 0) / 3 = 0
Consideration = 100 × (0.6 × 0.15 + 0.4 × 0) = 100 × 0.09 = 9
Consideration vs Visibility vs Top of Mind
Three metrics describe different aspects of competitive position:
| Metric | Question | Focus |
|---|---|---|
| Visibility | How prominent is the brand? | Position and detail of the mention |
| Top of Mind | Who does the model recall first? | Order relative to competitors |
| Consideration | Does the brand make the shortlist? | Quality of inclusion in recommendations |
The ideal scenario is high scores across all three: the brand is prominent, mentioned first, and recommended with quality justification.
Related Metrics
- Top of Mind — recall priority
- Visibility — brand prominence
- Usefulness — recommendation usefulness
- Metrics System Overview — all metrics and Overall Score
Top of Mind — Is Your Brand Recalled Before Competitors?
The Top of Mind metric in BrandWise: whether ChatGPT and Claude recall your brand ahead of competitors. Formula, crowding penalty, competitive table, examples.
Derived and Aggregate Metrics in BrandWise
Overall Score, Confidence, Mention Rate, Top-1 Rate, and other aggregate metrics in BrandWise. How they're calculated, what they mean, and how to use them.