bulls · Leisure & Outdoors > Cycling > Bikes
16,461 answers · Search surfaces, all engines · demand-weighted · v1.0.0
Bulls is the second most visible of 11 brands in this category. cube leads on 44.4.
Measured across 16,461 AI answers about Leisure & Outdoors > Cycling > Bikes. This brand was named in 1,279 of them.
How you compare
The category leader and the brands immediately around you
- cube44.4
- bullsyou25.6
- puky25.0
8 more brands were measured and rank below these. Advanced view lists all of them.
What is costing you most
Of the three things the score measures, this is the largest gap to the leader
You appear in 6.9% of relevant AI answers. cube appears in 25.0%.
This is presence, not position — how often the models mention you at all when someone asks about this category. It is the single biggest driver of the score, and being absent cannot be compensated for by ranking well when you do appear.
Models repeat what the sources they read already say. Presence comes from being covered in the roundups, comparisons and retailer pages these models draw on — not from your own site alone. Start with the highest-demand topics where you are missing entirely.
This single gap accounts for roughly 93% of the difference between you and the leader.
Do this first
The two changes with the most effect on this score
- 1
You are absent from too many answers
Target the high-volume topics below where you are missing entirely. Presence comes from being covered by the sources these models read, not from your own site alone.
Your brand appears in only 7% of AI answers in this category. Reach is your weakest dimension, and it is the precondition for everything else — you cannot rank well in an answer that never mentions you.
See the answers that skip you → - 2
cube is ahead of you
Compare topic by topic rather than in aggregate. The competitive view shows where cube beats you head to head.
cube scores 44.4 against your 25.6. Their advantage is concentrated in reach — they simply appear more often.
See your record against cube →
How this was measured
We read 16,461 AI answers from Search surfaces on August 20, 2026 and recorded which brands each one named, and in what order. Nothing here is modelled from a sample of your traffic or estimated from rankings — it is a count of what the models actually said. Scoring version 1.0.0.
Advanced view adds the full competitive table with confidence intervals, the head-to-head ratings, the per-engine and per-subcategory breakdowns, and every individual answer behind these numbers.