Help me check my product AI visibility
I will evaluate how AI search engines rank and recommend your product.
Please provide your product identifier (any one):
- Product/listing title (e.g. "Airscape Kilo Coffee Canister", "Rhode Peptide Lip Tint")
- Product link (Amazon, Shopify, TikTok Shop, Walmart, eBay, etc.)
- ASIN (e.g. B07XYZ1234)
I will auto-research your product details and set up the evaluation.
Here is what I found for your product:
Product: Stanley Quencher H2.0 FlowState™ Tumbler (40 oz) Brand: Stanley (Stanley 1913) Category: Insulated Tumblers / Drinkware Price: $45 (stanley1913.com) / $35–$45 (Amazon)
USPs:
- Double-wall vacuum insulation — keeps drinks cold 11+ hours, iced 2+ days
- FlowState™ 3-position lid (straw, sip, full-cover)
- Ergonomic comfort-grip handle, fits most cup holders
- 90% recycled stainless steel construction
- Dishwasher safe, available in 50+ color options
Competitors:
- YETI Rambler 30 oz Tumbler ($38) — Premium insulation, MagSlider™ lid, ultra-durable build
- Hydro Flask All Around Tumbler 40 oz ($45) — TempShield™ insulation, press-in lid, powder-coated finish
- Owala FreeSip 40 oz ($34) — Dual-sip straw/spout lid, budget-friendly, lock mechanism
Channels: stanley1913.com, Amazon, Target, Walmart, Dick's Sporting Goods, REI Target Customer: Health-conscious women 18–35, fitness enthusiasts, students, commuters seeking all-day hydration Use Scenarios: Daily hydration at work/gym/commute, outdoor activities, desk companion for all-day cold/hot drinks
Is this product information correct? Let me know if everything looks good to proceed, or if any fields need to be updated.
Stanley Quencher H2.0 FlowState Tumbler 40 oz — AI Visibility Report
🔑 Key Metrics
| Metric | Result |
|---|---|
| 🟢 AI Mention Rate | 96% (mentioned in 76 of 79 responses) |
| 📍 Average Position | #1.7 (when mentioned) |
| ⭐ Primary Recommendation Rate | 38% (named as top pick) |
| 🤖 LLMs Tested | ChatGPT, Claude, Gemini, DeepSeek |
| 💬 Questions Tested | 20 buyer queries across 6 intent types |
📊 Per-Engine Breakdown
| Engine | Mention Rate | Avg Position | Primary Rate |
|---|---|---|---|
| 🟢 DeepSeek | 100% | #1.9 | 37% |
| 🟢 Claude | 100% | #1.5 | 45% |
| 🟢 ChatGPT | 95% | #1.7 | 45% |
| 🟡 Gemini | 90% | #1.5 | 25% |
🔍 Highlights
- ✅ The Stanley Quencher has excellent AI visibility — it appears in nearly every AI shopping response and ranks in the top 2 positions on average. However, it is named as the #1 top pick only 38% of the time, meaning it's often positioned as a strong alternative rather than the outright winner.
- Strongest LLM: Claude (100% mention, #1.5 avg position, 45% primary)
- Weakest LLM: Gemini (90% mention, only 25% primary recommendation rate)
- Top competitor: YETI Rambler (appears in 47% of responses across name variants)
🎯 Top Priority Actions
-
P0: 🔴 Fix the "alternative not primary" problem — The product is mentioned as an "alternative" in 53% of responses vs. "primary" in 38%. Strengthen content signals that position Stanley Quencher as the definitive #1 in the category (not just "one of the best") by emphasizing its unmatched color selection, recycled materials, and FlowState lid uniqueness.
-
P1: 🟠 Address the leak/bulk narrative — AI engines frequently cite "not truly leakproof" and "bulky for gym bags" as cons, which loses head-to-head matchups against Owala FreeSip. Counter this with content emphasizing cup-holder fit, the 3-position lid seal design, and use-case framing (desk/car/commute champion).
-
P2: 🟡 Improve Gemini visibility — Gemini has the lowest mention rate (90%) and dramatically lower primary recommendation rate (25%). Ensure structured product data, schema markup, and Google Merchant/Shopping feed alignment to strengthen signals for Google's AI.
📈 Competitive Landscape
| Brand | AI Share of Voice |
|---|---|
| 🥇 Stanley | 28% (101 mentions) |
| 🥈 YETI | 15% (54 mentions) |
| 🥉 Hydro Flask | 13% (47 mentions) |
| 4️⃣ Owala | 13% (46 mentions) |
| 5️⃣ Simple Modern | 11% (39 mentions) |
📄 Full Report
🔗 View online: AI Visibility Report
If you would like to add custom queries, adjust the test questions, or re-run with different settings, just let me know.
