AI Visibility Profile · Industry · Outdoor Apparel
Columbia AI Visibility in Outdoor Apparel
Columbia ranks #6 of 30 in the Outdoor Apparel AI visibility leaderboard with a 39 AI Index across 7 tracked AI engines. Use this page to compare AI search visibility, engine breakdowns, trend context, and nearby entities.
AI visibility answer
How Columbia appears in AI search
Columbia currently ranks #6 out of 30 in the Outdoor Apparel AI visibility leaderboard with a 39 AI Index across 7 tracked AI engines. Use it as a direct answer for Columbia AI visibility, AI search ranking, and answer-engine benchmark questions.
The engine breakdown compares how ChatGPT, gemini, and Grok rank or mention Columbia, so the page separates broad AI search visibility from single-engine outliers.
Entity Snapshot
Columbia is currently #6 out of 30 entities in Outdoor Apparel, with a 39 overall AI visibility score across 7 tracked engines. That position shows how often AI systems surface the brand when answering industry comparison and recommendation prompts.
Columbia is currently #10 out of 30 tracked Outdoor Apparel entities, with a 31.1 AI Index in the latest public snapshot. Columbia trails Outdoor Research by 2.3 AI Index points. The strongest engine-level signal comes from Qwen, where Columbia records a 34.7 AI Index and 14.3% mention rate. Kimi is the next strongest covered engine at 33.7 with a 14.3% mention rate.
The softer engine-level signal is DeepSeek, where Columbia records a 27 AI Index and 0% mention rate. Grok is another engine to watch at 28 with a 0% mention rate. Keep the scope narrow: this page measures how tracked AI engines surface Columbia in Outdoor Apparel prompts. It does not rank product quality, sales, safety, or real-world market share.
Columbia's strongest current visibility comes from MiniMax (49.9 AI Index, 57.1% mention rate) and Grok (44.1 AI Index, 42.9% mention rate). Its weaker engine profile is gemini (28 AI Index, 0% mention rate) and Kimi (32.7 AI Index, 14.3% mention rate), so the engine spread points to where recommendation consistency can still improve.
Continue from Here
This public entity page is a neutral starting point. Use Tracker when you want private monitoring for Columbia or a competitor set.
Entity Trend
Open trend explorerColumbia's latest visible AI Index is 31.1. Read the trend together with engine coverage and mention-rate signals rather than as a standalone forecast. That movement is useful context, but it is strongest when it lines up with engine coverage and mention-rate changes. A single score move should not be read as a full market or product signal.
Columbia improved over the visible trend window, moving from 37.1 on 2026-04-29 to 37.5 on 2026-06-26. Use this trend alongside the engine breakdown to see whether movement is broad or isolated to a few engines.
Engine Breakdown
Comparable Entities
Helly Hansen is the closest comparable entity by rank, with Columbia behind it by 0.3 AI Index points. This gap is useful for reading whether the page reflects a clear lead, a close contest, or a brand that needs stronger AI evidence to move up.
FAQ
Why is Columbia ranked in the Outdoor Apparel leaderboard?
Columbia is included because tracked AI engines surface it in Outdoor Apparel prompts, and AIvsRank calculates its current visibility from rank position, recommendation strength, and mention-rate signals.
Which engines are strongest and weakest for Columbia?
The strongest current signal is Qwen at 34.7 AI Index and 14.3% mention rate. The softest covered signal is DeepSeek at 27 AI Index and 0% mention rate.
Which entities should be compared with Columbia?
The most useful nearby comparison is Outdoor Research. Compare the score gap and engine-level table before treating rank movement as meaningful.
How often is this page updated?
This page updates when a new completed Outdoor Apparel leaderboard run is available. The current public snapshot was refreshed on 2026-05-09.
Methodology and source context
AIvsRank calculates this public entity page from 7 tracked AI engines and the latest completed industry leaderboard run for Outdoor Apparel.
Use the score, mention-rate, engine breakdown, comparable entities, and trend context together; no single chart or paragraph should be read as the whole visibility signal.