When buyers ask ChatGPT, Claude, and Gemini about inventory planning, Kinaxis ranks #9 of 15, a Visibility Score of 16 in Inventory Planning .
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.
One category, bottom third, fading fast against louder rivals.
Where it wins. Kinaxis does get mentioned in Inventory Planning conversations, appearing in 21% of relevant prompts. That keeps it on the AI-generated shortlist, even if rank 9 of 15 is far from commanding.
Where it loses. A 1.4% first-pick rate means buyers almost never hear its name first in the one race it competes in, and it is completely absent when AI models field questions about best overall tools, use-case fit, features, or budget trade-offs, leaving Blue Yonder, o9 Solutions, and SAP IBP to fill those slots.
AI-generated analysis of the September 2026 measurements.
"Master uncertainty. Tame complexity."
Homepage self-messaging · September 2026 ranking · the biggest gaps across the index →
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 Kinaxis. Hover a row for the exact prompt. Compare shapes on the head-to-head page.
Gaps Best overall · Use-case fit · Startup & small team · Feature-led ask · Budget & alternatives
Share of Kinaxis'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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