Case Studies

Real AI visibility data from real brands -- diagnosed by Teehoo's scanning tools.
These are diagnostic case studies. We scanned real brands and analyzed why AI platforms recommend (or ignore) them. Each case includes the data, the diagnosis, and what the playbook would look like.
5 /100
TOZO
Wireless Earbuds
Top Amazon seller with thousands of 5-star reviews -- virtually invisible to AI.
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Background
TOZO is a top seller on Amazon with thousands of 5-star reviews and millions in revenue. Yet the wireless earbuds category is dominated by Apple (56/100), Jabra (52/100), and Sony (48/100) in AI recommendations.
Scan Results
SOV Score
5 / 100
Mentioned
8% of prompts
Top Competitor
Apple at 56/100
Platforms Visible
1 of 4
Platform Breakdown
ChatGPT Perplexity Gemini Claude
Diagnosis
  • No Schema markup on website -- AI cannot read product data in a structured way
  • No comparison content ("TOZO vs Apple", "TOZO vs Jabra") -- nothing for AI to cite when comparing options
  • Zero Wikipedia/Wikidata presence -- AI has no authoritative source to reference
  • Amazon reviews do not transfer to AI -- AI platforms do not scrape Amazon product pages
What the Playbook Would Include
  • Week 1: Product + Organization Schema, robots.txt, llms.txt
  • Week 2-4: 3 comparison articles targeting "[TOZO] vs [competitor]"
  • Week 5-8: Reddit engagement, Wikipedia/Wikidata entry
Expected improvement: 5 --> 25-35 in 90 days
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82 /100
Xiaomi Band
Fitness Tracker
Scores 82/100 and ranks #1 -- but the high score hides real vulnerabilities.
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Background
Xiaomi Band is one of the world's best-selling fitness trackers by unit volume. Our April 2026 scan shows an impressive 82/100, ranking #1 above Garmin (72), Fitbit (64), and Apple Watch (52). But a closer look at the data reveals a fragile position that could collapse quickly.
Scan Results (April 2026)
SOV Score
82 / 100
Mention Rate
72% (16 of 22)
Avg Ranking
#1.2 (when mentioned)
Platforms Visible
4 of 4
Platform Breakdown
ChatGPT (71%) Claude (71%) Perplexity (71%) Gemini (100%)
Why the Score Is Misleading
  • 3 of 7 prompts are brand-vs-brand ("Xiaomi Band vs Garmin", "vs Fitbit", "vs Apple Watch") — these always mention Xiaomi Band because the question is about it. Remove these and the real mention rate drops to ~40%
  • Generic discovery prompts ("best fitness tracker for running", "best for sleep tracking") return zero Xiaomi Band mentions — the prompts where new buyers actually start their research
  • Only 1 cited source across all platforms: rtings.com. Garmin and Fitbit have dozens. One editorial change at RTINGS could erase Xiaomi's visibility overnight
  • No owned content authority: Xiaomi's own global site has no comparison articles, buyer's guides, or detailed product content in English
What's Actually Working
  • RTINGS.com published a full Xiaomi Band 9 review — AI platforms cite it as an authoritative source
  • Price-performance positioning resonates: "best fitness tracker under $100" prompts surface Xiaomi Band
  • Present on all 4 platforms (ChatGPT, Claude, Perplexity, Gemini) — broad but shallow coverage
What the Playbook Would Add
  • Week 1: Product Schema + llms.txt on Xiaomi's global site (currently missing entirely)
  • Week 2-4: Publish owned comparison content to reduce single-source dependency on RTINGS
  • Week 5-8: Target generic discovery prompts ("Best Fitness Tracker 2026") with buyer's guide content — close the gap where new buyers actually search
  • Week 8-12: Build multi-source authority: Reddit r/fitness, PR outreach to Wirecutter/Tom's Guide
Goal: convert a fragile 82 into a durable 82. Close the generic prompt gap. Build owned content so the score doesn't depend on one third-party review.
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13 /100
EarFun
Wireless Earbuds
Well-reviewed budget earbuds -- visible on Perplexity only, invisible everywhere else.
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Background
EarFun is a well-reviewed budget earbuds brand with strong Amazon sales. Slightly better positioned than TOZO, but still far behind the category leaders in AI visibility.
Scan Results
SOV Score
13 / 100
Mentioned
8% of prompts
Top Competitor
Apple at 56/100
Platforms Visible
1 of 4
Platform Breakdown
ChatGPT Perplexity Gemini Claude
Diagnosis
  • Perplexity visibility comes from recent Wirecutter/RTINGS reviews -- but that is the ONLY source
  • No structured data for AI to parse on EarFun's own website
  • No branded comparison content ("EarFun vs Sony", "EarFun vs Jabra")
  • Entirely dependent on third-party reviews rather than own content
What the Playbook Would Include
  • Week 1: Schema + technical fixes on own website
  • Week 2-4: Own comparison content + buyer's guide
  • Week 5-8: Expand beyond Perplexity by building Wikipedia + Reddit presence
Expected improvement: 13 --> 30-40 in 90 days
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34 /100
Baseus
Portable Charger
Significant global presence -- but ChatGPT, the biggest platform, completely ignores it.
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Background
Baseus is a major charging accessories brand with significant global presence. However, Anker dominates the category with 100+ AI visibility score, leaving Baseus far behind despite strong product reviews.
Scan Results
SOV Score
34 / 100
Mentioned
25% of prompts
Top Competitor
Anker at 100+
Platforms Visible
3 of 4
Platform Breakdown
ChatGPT Perplexity Gemini Claude
Diagnosis
  • ChatGPT's training data cutoff means it favors Anker, which has far more historical content
  • Baseus has limited English-language comparison content on its own site
  • Anker's content strategy is 10x more developed (800+ blog posts, detailed product pages)
  • Baseus's advantage on Perplexity comes from recent review articles -- similar pattern to EarFun
What the Playbook Would Include
  • Week 1: Technical foundation (Schema, robots.txt)
  • Week 2-6: Content blitz targeting ChatGPT specifically (comparison articles, buyer's guides with structured data)
  • Week 6-12: Sustained content + authority building
Expected improvement: 34 --> 50-60 in 90 days
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