Brooklinen achieves a 65% appearance rate across AI platforms but suffers from critical technical gaps that prevent AI agents from accessing key product information and customer reviews.
Invisible to AIAI-Optimized
Discoverability
Can agents find you?
Data Quality
Is your data complete?
Competitive Pos.
When found, are you #1?
Protocol Ready
Commerce protocol fit
Reviews
Strong ratings across platforms?
LayerTen
Agent Visibility Report
How AI Agents See You
We ran 60 real shopping queries across 4 major AI platforms. Here's what happened.
ChatGPT
12/15
80%
Strong performance with 80% appearance rate, typically ranking in the top 3 recommendations. When absent, competitors like Slip Pure Silk Pillowcase Set and Parachute Percale Sheet Set took those positions.
Gemini
7/15
47%
Weakest performance at 47% appearance rate, though when present, Brooklinen typically appears as the first recommendation. Competitors like Boll & Branch Signature Hemmed Sheet Set and Parachute Percale Sheet Set frequently appear instead.
Claude
12/15
80%
Excellent 80% appearance rate with first recommendation positioning. Strong competitive presence against brands like Slip and Parachute when relevant to query intent.
Perplexity
8/15
53%
Moderate 53% performance with top 3 positioning when present. Missing opportunities to competitors like CGK Unlimited, Mellanni, and SHEEX in specialized queries.
Your Top Competitors in AI Search
How often each brand appeared across all AI platform responses.
Brooklinen
39
← You
Parachute Percale Sheet Set
14
Boll & Branch Signature Hemmed Sheet Set
9
Frette Hotel Classic Sheet Set
5
Slip Pure Silk Pillowcase
5
Parachute Percale Duvet Cover
5
LayerTen
Agent Visibility Report
What Shoppers Asked
Real queries tested on AI platforms where your products did not appear.
🔍 Shopper's Query
"split king sheet set for adjustable bed"
💬 AI Recommended:
CGK Unlimited Split King Set
Mellanni Split King Sheets
SHEEX Split King Set
📍 You were not mentioned.
WHY
Despite having a Classic Percale Split King Sheet Set, AI agents couldn't identify this product because your pages don't specify sizing options and bed compatibility in machine-readable formats. The product exists but remains invisible to AI recommendation systems.
🔍 Shopper's Query
"high quality percale sheets breathable cotton"
💬 AI Recommended:
Sferra Celeste Percale Sheets
Parachute Percale Sheet Set
L.L.Bean Pima Cotton Percale Sheets
📍 You were not mentioned.
WHY
This should be a perfect match for Brooklinen's core percale offerings, but AI agents can't access key attributes like breathability, cotton quality details, and weave specifications. Your product pages lack the structured data that would help AI understand your percale sheet benefits.
🔍 Shopper's Query
"best luxury bed sheets 2024"
💬 AI Recommended:
Boll & Branch Signature Hemmed Sheet Set
📍 You were not mentioned.
WHY
AI agents couldn't identify Brooklinen as a luxury option because your pages don't communicate brand positioning, quality certifications, or premium features in formats that AI can process. Customer reviews and ratings are also invisible to AI systems, removing crucial social proof signals.
LayerTen
Agent Visibility Report
What's Holding You Back
These are the specific gaps preventing AI agents from recommending your products.
🔴
Customer Reviews Invisible to AI Agents
Zero review data means AI agents can't recommend your products based on customer satisfaction, a key ranking factor. With competitors showing strong review signals, you're losing recommendations to products that may be objectively inferior but have visible social proof. This directly impacts conversion rates as AI-driven shoppers rely heavily on peer validation.
Technical: Implement Review and AggregateRating markup on all product pages to expose star ratings, review counts, and review content to AI systems.
+15-18 points on Agent Score
🔴
Product Information Unreadable by AI
AI agents can't access critical product details like pricing, dimensions, color options, and care instructions, making it impossible for them to match your products to specific customer needs. When someone searches for specific sizes, colors, or care requirements, your products become invisible despite potentially being perfect matches.
Technical: Add Product schema markup to all product pages including price, dimensions, color variants, material specifications, and care instructions.
+12-15 points on Agent Score
🟠
Missing Product Attribute Details
With only 32% attribute completeness, AI agents lack the detailed information needed to recommend your products for specific use cases. Missing attributes like thread count GSM, shrinkage information, and certifications prevent matches for quality-focused searches. This is particularly damaging in bedding where material specifications drive purchase decisions.
Technical: Expand product data to include weight GSM, shrinkage rates, certifications (OEKO-TEX, etc.), country of origin, and detailed care instructions across all product listings.
+8-10 points on Agent Score
🟠
No AI Agent Access Controls
Your robots.txt lacks directives for AI agents like GPTBot and ClaudeBot, missing the opportunity to guide how AI systems crawl and understand your site. This can result in incomplete or outdated product information being used in recommendations, potentially directing customers to discontinued products or incorrect pricing.
Technical: Update robots.txt to include specific crawling instructions for GPTBot, ClaudeBot, PerplexityBot, and other AI agents, ensuring they access current product data.
+3-5 points on Agent Score
🟠
Category Navigation Unclear to AI
Without proper breadcrumb structure, AI agents struggle to understand your product categorization and relationships between items. This reduces your visibility in category-based searches like 'luxury bed sheets' or 'silk bedding,' where clear category signals would boost recommendations. Customers searching by category are often higher-intent buyers with larger basket sizes.
Technical: Implement BreadcrumbList schema markup across all category and product pages to establish clear hierarchical relationships for AI systems.
+4-6 points on Agent Score
🟡
Brand Authority Signals Missing
Your homepage lacks Organization schema, reducing brand credibility signals that AI agents use to assess trustworthiness. This impacts recommendations where agents weigh brand reputation, particularly important for higher-value purchases like luxury bedding where customers prioritize established, credible brands.
Technical: Add Organization schema to your homepage including company information, founding date, awards, and brand credentials.
+2-3 points on Agent Score
Commerce Protocol Status
New standards let AI agents browse, evaluate, and purchase from stores directly.
✅
Universal Commerce Protocol (UCP)
Detected
✅
Google Shopping Integration
Detected
⚠️
AI Crawler Access
Partial
LayerTen
Agent Visibility Report
Competitor Comparison
How your store's AI readiness compares to competitors. Each row shows whether the store provides this data to AI agents.
Brooklinen
Parachute Home
Luxury Organic Beddi
Product Schema
✘ NO
✘ NO
✔ YES
Schema Completeness
0%
0%
69%
Customer Reviews
✘ NO
✘ NO
✘ NO
Breadcrumbs
✘ NO
✘ NO
✘ NO
FAQ Schema
✘ NO
✘ NO
✘ NO
Attribute Completeness
32%
30%
16%
Google Shopping
✔ YES
✔ YES
✔ YES
UCP Endpoint
✔ YES
✔ YES
✔ YES
Your store provides 2 of 6 key data signals while Luxury Organic Bedding, Sheets & Towels provides 3. Closing this gap is critical for competitive visibility.
LayerTen
Agent Visibility Report
Your Action Plan
Five changes, in priority order, that will make your products visible to AI shopping agents.
1
Make Customer Reviews Visible to AI
Customer reviews are the strongest signal AI agents use for product recommendations. Your competitors with visible reviews consistently outrank products that may be superior but lack social proof. Implementing review visibility will immediately improve your recommendation frequency, especially for high-intent purchase queries where customers rely on peer validation.
Expected: +15-18 points on Agent Score
How to implement
Add Review and AggregateRating schema markup to product pages, exposing star ratings, review counts, and review snippets. Ensure review data stays current through automated updates.
2
Enable AI Access to Product Information
AI agents currently cannot read your product specifications, pricing, or availability, making recommendations impossible even when you have the perfect product. This structured data foundation enables AI to match your products to specific customer needs, dramatically increasing relevant recommendations and reducing missed opportunities to competitors.
Expected: +12-15 points on Agent Score
How to implement
Implement Product schema markup on all product pages including name, price, availability, dimensions, color options, materials, and detailed specifications. Automate schema updates with inventory changes.
3
Complete Missing Product Attribute Data
Bedding purchases depend heavily on specific attributes like thread count, weight, breathability, and care requirements. Your 32% attribute completeness means AI agents can't match your products to these detailed queries, losing sales to customers who know exactly what they want. Complete attributes capture high-intent, specification-driven searches.
Expected: +8-10 points on Agent Score
How to implement
Expand product data to include GSM weight, shrinkage information, certifications (OEKO-TEX, etc.), country of origin, detailed care instructions, and breathability ratings across all SKUs.
4
Optimize Category Structure for AI
Category-based searches like 'luxury sheets' or 'percale bedding' represent high-value customer segments actively comparing options. Clear category signals help AI agents understand where your products fit in the market hierarchy, increasing recommendations for broader category searches that often lead to larger purchases and higher customer lifetime value.
Expected: +4-6 points on Agent Score
How to implement
Add BreadcrumbList and FAQ schema markup to category pages. Structure categories hierarchically and include category-specific attributes that help AI understand product positioning and relationships.
5
Configure AI Agent Access Controls
Proper AI agent directives ensure crawlers access your most current product information, pricing, and inventory levels. Outdated information in AI responses can frustrate customers and damage brand credibility. Controlled access also prevents AI from surfacing discontinued products or incorrect pricing that could create customer service issues and lost sales.
Expected: +3-5 points on Agent Score
How to implement
Update robots.txt with specific directives for GPTBot, ClaudeBot, PerplexityBot, and other AI agents. Create crawling priorities that emphasize current product pages and category structures over archived content.
LayerTen
March 19, 2026
Your Path Forward
Fix Quick Wins
1-2 Weeks
Implement the top 2 recommendations. These can significantly boost your visibility.
Track Progress
2-4 Weeks
Monitor your Agent Score as AI agents re-crawl your updated product data.
Stay Ahead
Ongoing
Use LayerTen to automate optimization and stay ahead as agent commerce evolves.