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Product Analysis: Are Your Products Being Recommended on AI Platforms?
A
AURA Team
Author
February 27, 2026
5
The AI Recommendation Economy
AI assistants now play a critical role in purchasing decisions. For questions like "Which is the best laptop?", "CRM recommendation for SMBs", or "Organic skincare products" — AIs recommend specific brands and products. If your products aren't in these recommendations, you're losing a significant potential customer base.
How Does Product Analysis Work?
1. Create Product Profiles
Add product profiles from the Profiles section in your dashboard:
- Product Name: Your product's full name
- Product URL: Your product's web page (optional)
- Category: Select from 8 industry categories
2. Eight Industry Categories
Product Analysis uses sector-specific questions and analysis parameters:
- Electronics: Phones, computers, home electronics
- Digital: SaaS, software, apps
- Automotive: Vehicles, parts, accessories
- Financial: Banking, insurance, investment
- Health: Pharmaceuticals, medical devices, health services
- Food: Food, beverages, organic products
- Fashion: Clothing, accessories, cosmetics
- B2B Service: Consulting, logistics, outsourcing
3. Product-Level Questions to AI Models
Sector-specific scenarios are asked to 9 AI models:
- "Recommend the best [category] products"
- "What do you know about [product name]?"
- "Which brands stand out in the [category] space?"
4. Product AURA Score
A separate AURA score is calculated for each product:
- Recommendation Frequency: How many AI models recommend this product?
- Information Accuracy: Are product features being conveyed correctly?
- Competitive Position: Where does it rank against competitor products?
Real-World Example
We analyzed three products from a software company:
- CRM Software (AURA 74): Recommended by 6 out of 9 AIs, pricing info correct
- HR Software (AURA 48): Known by only 2 AIs, feature list incomplete
- POS System (AURA 31): Not recommended by any AI, completely invisible
Why Product-Level Analysis?
- Products are recommended, not brands: AIs typically respond with product names, not company names
- Category matters: Different questions are asked in each industry
- Competitor products are decisive: You need to know competitors to get into AI's lists
- Feature accuracy is critical: Wrong pricing or feature info means lost sales
Which Packages Include It?
- Business ($500/mo): 3 product profiles
- Enterprise (Custom): 10+ product profiles