Subcategory · AI Citation Index
AI Model Interpretability
AI Model Interpretability shows no consensus across 37 prompts; Google Cloud AI leads at 80, H2O collapsed 63 points, volatile scores swing month-to-month.
37 discovery queries · refreshed Oct 1, 2026
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Trends
Over the last 12 months
Ten months of sparse data—sample sizes of 1–3 per month—show scores swinging from 65 in April 2026 to 0 in September. H2O fell 63 points, the sharpest drop on record. Trend reliability is low.
Brands to know
In this category
Google Cloud AI
Tops the list at 80, likely driven by Vertex AI Explainable AI features. Still cited, but no shortlist consensus.
Read brand profile →IBM Watson
Scores 63 on legacy enterprise trust in AI transparency tooling. OpenScale positioning keeps it visible, but adoption signals remain weak.
Read brand profile →Weights & Biases
At 58, W&B appears as an MLOps-adjacent mention for experiment tracking. Interpretability is ancillary, not core.
Read brand profile →H2O
Collapsed from 63 to 0—a 63-point plunge in the trends window. Driverless AI once held explainability credibility; citation data shows it evaporated.
Read brand profile →Alteryx
Scores 56, likely from AutoML transparency in Designer and Intelligence Suite. Interpretability is a checkbox feature, not a standalone pitch.
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