An AI Visibility Study by Track My Visibility
Trackdown Report :
CATEYE
Last Updated :
Analyzing how CATEYE, a Japan-based cycling gear ecommerce brand, performs across AI-generated answers in the cycle computers, bicycle headlights, safety lights, bike accessories, cycling gear category.
🔥 Key Finding
CATEYE ranks #4 overall with 14% visibility, trailing Garmin (45%) by 31 percentage points. The brand appears in 5 of 50 tracked prompts but misses critical GPS and sensor-focused queries where Garmin dominates. Strength in lights-specific prompts masks weakness in computer and sensor categories.
14%
Overall Visibility
The Coverage Problem
2.1
Average Position
The Prominence Strength
#4
Competitive Rank
+71
Net Sentiment
Overwhelmingly Positive
AI Engine Performance Breakdown
Each Al engine reveals a different facet of the same authority gap
ChatGPT rewards direct brand mentions in product-specific queries and ranks CATEYE first in two light-focused prompts. The model surfaces CATEYE in 8 of 10 visibility instances, showing strong recognition for safety and commuter lighting.
Perplexity favors comparison content and alternatives-focused queries, where CATEYE appears less frequently. The model mentions CATEYE in only 2 of 5 visibility instances, suggesting weaker integration in recommendation-style responses.
Top 5 Prompts Where the Brand Was Not Visible
Prompt:
Alternatives to high-end gps bike computers
Prompt:
long battery life bike sensors
Prompt:
cycling sensors with replaceable batteries
Prompt:
Alternatives to expensive cycling headlights
Amazon
Prompt:
Alternatives to magnet-based bike sensors
Prompt:
Top 5 Prompts Where the Brand Was Visible
Which brands make rechargeable bike lights with fast charging
Best Bike Lights for Commuting: Front and Rear Options
Where to find cycling lights and computers for e-bikes
Which brands make motion sensitive rear bike lights
Lights for e-bikes with high speed visibility
Top Competitors Frequently Mentioned
| Rank | Brand | Position | Visibility | Mentions |
|---|---|---|---|---|
| #1 |
|
1 | 45% | Appears in 45 responses |
| #2 |
|
1 | 26% | Appears in 26 responses |
| #3 |
|
2 | 14% | Appears in 14 responses |
| #4 |
|
2 | 14% | Appears in 14 responses |
| #5 |
|
1 | 5% | Appears in 5 responses |
Content Infrastructure Gap Analysis
Where content investment is needed to match or exceed competitive benchmarks in the six dimensions that AI systems prioritize for brand mentions
- Top Competitors Average
- Brand’s Current State
Why These Gaps Exist
GPS Computer Visibility
CATEYE absent from 'Alternatives to high-end GPS bike computers' and 'GPS bike computer with longest battery life' queries. Garmin and Wahoo dominate these prompts, capturing users researching computer-specific features CATEYE offers but AI models don't associate with the brand.
Sensor Longevity Content
Missing from 'long battery life bike sensors' and 'cycling sensors with replaceable batteries' despite product relevance. Wahoo, Bryton, and COOSPO appear instead, indicating AI models lack content linking CATEYE sensors to durability and battery performance.
Perplexity Model Gap
CATEYE appears in only 2 of 5 visible prompts on Perplexity versus 8 of 10 on ChatGPT. Perplexity's preference for alternatives-focused and comparison-style queries excludes CATEYE, suggesting training data or ranking logic favors competitors in those response types.
Budget and Value Positioning
No visibility in 'Alternatives to expensive cycling headlights' despite competitive pricing. Lezyne, Magicshine, and NiteRider appear instead, showing AI models don't position CATEYE as a value alternative to premium brands in cost-conscious queries.
Strategic Recommendations
Expand GPS Computer Content Strategy
- Create comparison guides positioning CATEYE computers against Garmin.
- Develop battery life and durability case studies for sensor products.
- Publish technical specs content targeting ‘alternatives’ and ‘longest battery’ queries.
Strengthen Perplexity Visibility
- Build recommendation-style content for alternatives-focused prompts.
- Develop structured comparison tables for AI scraping and ranking.
- Increase external validation through cycling review sites and forums.
Bridge Sensor-to-Computer Category Gap
- Create integrated product guides linking sensors, computers, and lights.
- Publish educational content on sensor compatibility and setup.
- Develop value-focused landing pages for budget-conscious commuters.
Capitalize on Lights Category Strength
- Expand motion-sensitive and e-bike light content depth.
- Build brand authority through technical light comparison guides.
- Develop commuter-focused safety content for Asian markets.
What This Study Teaches About AI Visibility
Model Preference Shapes Brand Visibility
ChatGPT surfaces CATEYE 4x more than Perplexity across the same prompts. AI model architecture and training data create visibility disparities that single-channel strategies cannot overcome.
Category Strength Masks Weakness
CATEYE dominates lights queries but vanishes in GPS and sensor categories. Broad product portfolios require category-specific content strategies, not one-size-fit-all approaches.
Alternatives Queries Exclude Established Brands
CATEYE rarely appears in 'alternatives to' prompts despite relevance. AI models associate alternatives-seeking users with competitors, not established players, regardless of product fit.
Position Gaps Reveal Content Gaps
CATEYE ranks 3rd in multiple prompts but loses to Garmin at position 1. Missing content on battery life, durability, and value positioning explains why AI models rank competitors higher.
Sentiment Doesn't Drive Visibility
CATEYE sentiment (+71) exceeds Trekbikes (+69) but visibility matches at 14%. Positive brand perception alone doesn't increase AI mentions without supporting content and external validation.
Methodology
Study Parameters:
Total Prompts
100 unique prompts tracked within TMV
AI Engines
ChatGPT, Perplexity
Time Window
May 12, 2026 to May 19, 2026
Category
cycle computers, bicycle headlights, safety lights, bike accessories, cycling gear
Intent Mix
Commercial-heavy with supporting informational, comparison, and trust queries
Prompt Design:
- Each prompt mapped to one primary intent category (commercial, informational, comparison, trust/validation)
- Strong majority of non-branded prompts to test category authority vs brand recall
- Mix of release-focused and evergreen education questions mirroring natural AI usage
- Aligned with core themes: cycle computers, bicycle headlights, safety lights, bike accessories
Limitations:
- AI responses evolve over time; results represent a snapshot of current behavior
- Prompt selection influences visibility patterns; different prompt sets may yield different results
- Brand-controlled content changes can rapidly affect AI visibility
- Results specific to Cycling gear category; patterns may differ in other segments