Lily Max | AI Product Intelligence

Description

Lily Max is an advanced product intelligence engine developed by Lily AI, aimed at enhancing AI commerce. It focuses on improving product visibility and conversion rates across various platforms such as Google Ads, Meta Ads, and onsite search. The engine works by enriching product data, making it more readable and recommendable by AI systems. This process involves identifying gaps in product data, generating AI-ready enrichments, and running controlled tests to measure performance improvements.

Lily Max operates on a continuous optimization loop where users set goals, and the system detects product-data gaps, generates enrichments, and measures the lift in performance. The results are then fed back into the system for further optimization. This approach ensures that product data is always optimized for AI surfaces, enhancing visibility and conversion rates.

The platform supports a wide range of surfaces, including Google Ads, Meta Ads, AI discovery, and onsite search. It does not replace existing tools but works alongside them, optimizing the product intelligence that these tools distribute. Lily Max's pricing is tailored to the catalog size, channels, and ad spend, ensuring that users pay in line with the value it delivers.

Lily Max is designed for retailers and brands that rely on product discovery, particularly performance marketers and feed managers. It is suitable for catalogs across various industries, including fashion, footwear, beauty, skincare, and home. The platform's ability to improve product data quality without requiring replatforming makes it a valuable tool for enhancing AI-driven commerce.

Lily Max's Core Features

• AI-driven product data enrichment

• Continuous optimization loop

• Supports Google Ads and Meta Ads

• Onsite search optimization

• Controlled A/B testing

• Tailored pricing model

• No replatforming required

• Goal-based system

How to use Lily Max?

1. 1

   Connect: integrate your product feed

2. 2

   Score: identify product-data gaps

3. 3

   Enrich: generate AI-ready product data

4. 4

   Test: run controlled A/B tests

5. 5

   Measure: evaluate performance improvements

6. 6

   Deploy: implement winning strategies

7. 7

   Optimize: continuously refine product data

Lily Max's Use Cases

• AI-driven advertising
• Onsite search optimization
• Product data enrichment
• Performance marketing
• Catalog management

FAQ from Lily Max

• What is Lily Max?

  Lily Max is an AI-driven product intelligence engine that enhances product visibility and conversion across various platforms by enriching product data.

• How does Lily Max improve product data?

  Lily Max detects gaps in product data, generates enrichments, and runs controlled tests to measure and improve performance.

• Does Lily Max replace existing tools?

  No, Lily Max works alongside existing tools, optimizing the product intelligence they distribute.

• What surfaces does Lily Max support?

  Lily Max supports Google Ads, Meta Ads, AI discovery, and onsite search.

• How is Lily Max priced?

  Pricing is tailored to catalog size, channels, and ad spend, ensuring users pay in line with the value delivered.

• Who is Lily Max designed for?

  Lily Max is designed for retailers and brands that rely on product discovery, particularly performance marketers and feed managers.

• How does Lily Max measure performance improvements?

  Lily Max uses controlled A/B tests and other statistical methods to measure performance improvements.

• Can Lily Max guarantee product placement in AI systems?

  No, Lily Max improves product data quality but cannot guarantee placement or ranking in AI systems.