When buyers ask ChatGPT, Claude, and Gemini about manufacturing erp, Katana ranks #3 of 15, a Visibility Score of 26 in Manufacturing ERP (and appears in 2 categories of the index).
These rankings are measured from what the three models know from training, not a live web search. The live-web grounded surface is rolling out across the index. Methodology.
Katana fills lists in manufacturing ERP but rarely closes.
Where it wins. In Manufacturing ERP, Katana reaches a 35% mention rate and ranks third of fifteen, its ceiling and only meaningful foothold across both categories measured.
Where it loses. Food and Beverage Manufacturing exposes the floor: a 2.8% first-pick rate and rank ninth tells you the AI models treat Katana as a small-team fallback there, and the Enterprise pick theme is missing in both categories, cutting it out of higher-value purchase conversations entirely.
AI-generated analysis of the September 2026 measurements.
One of the index's bigger model splits: see where the models disagree →
Being named is not the same as being recommended. Each mention is graded endorsed (a strong pick), listed (a neutral option), or caveated (named with a reservation).
Share of each theme's answers that mention Katana. Hover a row for the exact prompt. Compare shapes on the head-to-head page.
Gaps Enterprise pick
Share of Katana's mentions where the AI models name this brand in the same answer. That is the real competitive set in the AI channel.
Being named is not the same as being recommended. Each mention is graded endorsed (a strong pick), listed (a neutral option), or caveated (named with a reservation).
Share of each theme's answers that mention Katana. Hover a row for the exact prompt. Compare shapes on the head-to-head page.
Gaps Enterprise pick
Share of Katana's mentions where the AI models name this brand in the same answer. That is the real competitive set in the AI channel.
Scores are measured from real AI answers, refreshed monthly. Methodology.
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