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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

Are your products on AI recommendation lists? Create your product profiles and find out.