In an Era Where AI Agents Do the Shopping, Is Your Product Data AI-Ready?

“Agentic Commerce,” where AI searches, compares, and purchases products on behalf of consumers, is rapidly spreading. In this shift, the quality and structure of product data directly translate into sales.

—— The next battleground for SEO is to be “read, understood, and chosen” by AI.

SOLUTION

The Primary Decision-Maker in Purchasing Is Shifting from Humans to AI

“The model where people search, people decide, and people buy” is coming to an end.

AI agents interpret intent, narrow down candidates, and autonomously complete purchases.

Product data that cannot adapt to this change will quietly fall out of the competition.

BEFORE

BEFORE

Traditional Commerce

People Actively Search, Compare, and Purchase

Consumers enter keywords, browse multiple pages, and decide whether to make a purchase. "Presentation" and "emotional appeal" were the main pillars of differentiation.

People Actively Search, Compare, and Purchase

Consumers enter keywords, browse multiple pages, and decide whether to make a purchase. "Presentation" and "emotional appeal" were the main pillars of differentiation.

Visual UX and Copywriting Are Our Strengths

Human-readable natural language descriptions, along with intuitive images and videos, were driving purchase intent.

Visual UX and Copywriting Are Our Strengths

Human-readable natural language descriptions, along with intuitive images and videos, were driving purchase intent.

SEO Is the Main Source of Traffic

Controlling Google’s search rankings was at the center of the competition. The goal was to get into the ten blue links.

SEO Is the Main Source of Traffic

Controlling Google’s search rankings was at the center of the competition. The goal was to get into the ten blue links.

AFTER

AFTER

Agentic Commerce

AI Handles Searching, Decision-Making, and Purchasing on Your Behalf

AI interprets the user’s intent and automatically selects products that meet the criteria, adds them to the cart, and completes checkout. Already, 30–45% of consumers are using AI to research products (Bain 2025).

AI Handles Searching, Decision-Making, and Purchasing on Your Behalf

AI interprets the user’s intent and automatically selects products that meet the criteria, adds them to the cart, and completes checkout. Already, 30–45% of consumers are using AI to research products (Bain 2025).

The Precision of Structured Data and Context is a Competitive Advantage

Data formats that AI can read and compare automatically, along with semantically rich contextual information, have become essential. The accuracy of specifications directly affects conversion rates.

The Precision of Structured Data and Context is a Competitive Advantage

Data formats that AI can read and compare automatically, along with semantically rich contextual information, have become essential. The accuracy of specifications directly affects conversion rates.

GEO (Generative AI Engine Optimization) is The New Battleground

Being featured in answers from ChatGPT, Perplexity, and Gemini is becoming the key to attracting customers. The conversion rate from AI-driven traffic is 31% higher than from regular traffic (2025 data).

GEO (Generative AI Engine Optimization) is The New Battleground

Being featured in answers from ChatGPT, Perplexity, and Gemini is becoming the key to attracting customers. The conversion rate from AI-driven traffic is 31% higher than from regular traffic (2025 data).

SOLUTION

Why Is It Urgent to Organize Product Data Now?

With the rise of agentic commerce, the issues with product data that had long been “put off”

are beginning to appear as direct lost opportunities.

Data Formats Vary by Manufacturer And Supplier

Excel, PDF, CSV, proprietary formats—product data arrives in different formats from each supplier. Manual consolidation has reached its limit, and inconsistent data quality has become the norm.

Impact on AI

Impact on AI

Data with inconsistent schemas cannot be compared or ranked by AI, so they are excluded from the candidate pool.

Just Having the Specs in Place Isn’t Enough to Be "Understood" by AI

A number like “300 g in weight” alone does not allow AI to generate the value of “less tiring even when walking for long periods.” Unless you convert features into benefit language and add usage context, AI cannot understand a product’s value.

Impact on AI

Impact on AI

Products with weak context are deprioritized as candidates for AI recommendations and end up looking less competitive.

Just Having the Specs in Place Isn’t Enough to Be "Understood" by AI

A number like “300 g in weight” alone does not allow AI to generate the value of “less tiring even when walking for long periods.” Unless you convert features into benefit language and add usage context, AI cannot understand a product’s value.

Impact on AI

Products with weak context are deprioritized as candidates for AI recommendations and end up looking less competitive.

Not Being Read by AI Crawlers

If JSON-LD and Schema.org aren’t implemented, AI crawlers are blocked, and UCP/ACP formats aren’t supported—even if the data exists, if AI can’t retrieve it, it’s the same as a "nonexistent product."

Impact on AI

Impact on AI

Product information isn’t included in ChatGPT and Perplexity responses, so it doesn’t come up as a suggestion.

Not Being Read by AI Crawlers

If JSON-LD and Schema.org aren’t implemented, AI crawlers are blocked, and UCP/ACP formats aren’t supported—even if the data exists, if AI can’t retrieve it, it’s the same as a "nonexistent product."

Impact on AI

Product information isn’t included in ChatGPT and Perplexity responses, so it doesn’t come up as a suggestion.

Categories and Tagging Are Not Standardized

Cases where the same product is classified differently depending on the department or channel occur frequently. Because AI operates on the assumption of classification consistency, a nonstandard taxonomy becomes a critical flaw.

Impact on AI

Impact on AI

Category inference accuracy has declined, and it is not being presented by the recommendation engine in the proper context.

Delays in Data Updates Undermine AI Reliability

If price updates, inventory changes, and specification changes are not reflected in real time, AI agents will make purchasing decisions based on incorrect information, leading to returns and complaints.

Impact on AI

Impact on AI

Sites with low data freshness see their AI system trust scores decline, and recommendation frequency continues to drop.

Delays in Data Updates Undermine AI Reliability

If price updates, inventory changes, and specification changes are not reflected in real time, AI agents will make purchasing decisions based on incorrect information, leading to returns and complaints.

Impact on AI

Sites with low data freshness see their AI system trust scores decline, and recommendation frequency continues to drop.

Unable to Measure Exposure on AI

Traffic from ChatGPT and Perplexity isn’t being tracked, and we can’t see how the brand is positioned in AI-generated answers—if you can’t see the current situation, you can’t even get to the starting line for improvement.

Impact on AI

Impact on AI

By the time your competitors have finished adapting to AI, the gap may already be too large to close once you notice it.

Unable to Measure Exposure on AI

Traffic from ChatGPT and Perplexity isn’t being tracked, and we can’t see how the brand is positioned in AI-generated answers—if you can’t see the current situation, you can’t even get to the starting line for improvement.

Impact on AI

By the time your competitors have finished adapting to AI, the gap may already be too large to close once you notice it.

Lazuli AI-Ready 5 Step

Create a State Where AI Exists, Is Understood, Reaches People, Is Chosen, and Continues to Evolve

Lazuli’s AI-Ready 5 Step is a systematic framework for companies to keep winning in Agentic Commerce. The five steps are built in order, and higher-level steps won’t work without a solid foundation.

01

Structure

AI-Readable

Organize

Can it be recognized?

Make it readable by AI. Product data cleanup, integration, structured format conversion, and Schema.org implementation.

01

Structure

AI-Readable

Organize

Can it be recognized?

Make it readable by AI. Product data cleanup, integration, structured format conversion, and Schema.org implementation.

02

Enrich

AI-Understandable

To Give Meaning to

Will it be understood?

Make it understandable for AI. Convert specs into context, articulate benefits, and strengthen semantics.

02

Enrich

AI-Understandable

To Give Meaning to

Will it be understood?

Make it understandable for AI. Convert specs into context, articulate benefits, and strengthen semantics.

03

Deliver

AI-Reachable

Deliver

Will it make the shortlist?

Make it discoverable by AI. GEO technical optimization, platform integration, FAQ maintenance, and UCP/ACP support.

03

Deliver

AI-Reachable

Deliver

Will it make the shortlist?

Make it discoverable by AI. GEO technical optimization, platform integration, FAQ maintenance, and UCP/ACP support.

04

Stay Fresh

AI-Relevant

Keep it Fresh

Will it be chosen?

Use AI to generate and circulate the "reasons to choose you." Integration with CDP, CRM, communities, and UGC.

04

Stay Fresh

AI-Relevant

Keep it Fresh

Will it be chosen?

Use AI to generate and circulate the "reasons to choose you." Integration with CDP, CRM, communities, and UGC.

05

Optimize

AI-Competitive

Evolve

Will it keep winning?

Continuously measure, improve, and evolve with AI. AI reference rate, CVR analysis, PDCA, and cross-functional design.

05

Optimize

AI-Competitive

Evolve

Will it keep winning?

Continuously measure, improve, and evolve with AI. AI reference rate, CVR analysis, PDCA, and cross-functional design.

SERVICE

Lazuli and Lazuli PDP Build The Foundation for AI Readiness

Among the 5 Steps, Step 1 (Structure) and Step 2 (Meaning) form the foundation for all higher-level steps. Lazuli PDP is a Product Data Platform that automates and accelerates this foundation, and Lazuli comprehensively covers everything beyond that, including strategic support.

What Lazuli PDP Handles at Its Core

Product Data Platform

The foundation of every step. Without this, the higher-level steps won’t work.

01

Structure

Organize

02

Enrich

To Give Meaning to

Lazuli Provides Strategic and Implementation Support

Marketing rollout

Deliver well-structured product data to AI and create a cycle of reasons to be chosen.

03

Deliver

Deliver

04

Stay Fresh

Keep it Fresh

Lazuli Provides Hands-on Support

Management / Organization

Continuously measure and improve our competitiveness in AI, and keep evolving as an organization.

04

Optimize

Evolve

Get Your Product Data AI-Ready Now

The sooner you start transitioning to “product data chosen by AI agents,” the wider the gap grows between you and your competitors. First, let’s begin with an assessment of your current AI-readiness.

Get Your Product Data AI-Ready Now

The sooner you start transitioning to “product data chosen by AI agents,” the wider the gap grows between you and your competitors. First, let’s begin with an assessment of your current AI-readiness.

Get Your Product Data AI-Ready Now

The sooner you start transitioning to “product data chosen by AI agents,” the wider the gap grows between you and your competitors. First, let’s begin with an assessment of your current AI-readiness.

FEATURES

Lazuli PDP Automated Processing Pipeline and Key Features

Any format of product data can be automatically converted into AI-readable structured data.

Enter in Any Format

Enter in Any Format

CSV / XLSX / PDF

AI Automatic Extraction

Understand and analyze the structure

AI Automatic Extraction

Understand and analyze the structure

Schema Mapping

Automatic conversion with AI inference

Schema Mapping

Automatic conversion with AI inference

Normalization and Standardization

Standardize notation variations and units

Normalization and Standardization

Standardize notation variations and units

Validation

Automatic validation with quality rules

Validation

Automatic validation with quality rules

AI-Ready Data Export

Optimized for agents

AI-Ready Data Export

Optimized for agents

SCHEMA INFERENCE

AI Schema Inference and Automatic Mapping

AI automatically maps manufacturer data that arrives in inconsistent formats to the target schema by inferring the meaning of each column. It also handles unknown formats right away.

SCHEMA INFERENCE

AI Schema Inference and Automatic Mapping

AI automatically maps manufacturer data that arrives in inconsistent formats to the target schema by inferring the meaning of each column. It also handles unknown formats right away.

SCHEMA INFERENCE

AI Schema Inference and Automatic Mapping

AI automatically maps manufacturer data that arrives in inconsistent formats to the target schema by inferring the meaning of each column. It also handles unknown formats right away.

DATA NORMALIZATION

Normalization and Standardization Engine

Unify “3kg / 3,000g / 3000 grams” into a single format. Rule-based processing handles unit conversion, resolves notation inconsistencies, and standardizes dates to maximize AI comparison accuracy.

DATA NORMALIZATION

Normalization and Standardization Engine

Unify “3kg / 3,000g / 3000 grams” into a single format. Rule-based processing handles unit conversion, resolves notation inconsistencies, and standardizes dates to maximize AI comparison accuracy.

DATA NORMALIZATION

Normalization and Standardization Engine

Unify “3kg / 3,000g / 3000 grams” into a single format. Rule-based processing handles unit conversion, resolves notation inconsistencies, and standardizes dates to maximize AI comparison accuracy.

CATEGORY ESTIMATION

Automatic AI Category Detection

AI automatically infers categories from product names, specs, and descriptions and adds tags. Improve AI recommendation accuracy and search hit rate with a consistent taxonomy.

CATEGORY ESTIMATION

Automatic AI Category Detection

AI automatically infers categories from product names, specs, and descriptions and adds tags. Improve AI recommendation accuracy and search hit rate with a consistent taxonomy.

CATEGORY ESTIMATION

Automatic AI Category Detection

AI automatically infers categories from product names, specs, and descriptions and adds tags. Improve AI recommendation accuracy and search hit rate with a consistent taxonomy.

VALIDATION

Custom validation

Automate validation tailored to your business rules, including required fields, numeric ranges, regular expressions, and banned word lists. Prevent incomplete data from making it into production.

VALIDATION

Custom validation

Automate validation tailored to your business rules, including required fields, numeric ranges, regular expressions, and banned word lists. Prevent incomplete data from making it into production.

VALIDATION

Custom validation

Automate validation tailored to your business rules, including required fields, numeric ranges, regular expressions, and banned word lists. Prevent incomplete data from making it into production.

MULTI-FORMAT PIPELINE

Multi-Format Compatible Pipeline

Process with the same pipeline, whether CSV, Excel, or PDF. Fully automated from upload to output, seamlessly integrated into your existing workflow.

MULTI-FORMAT PIPELINE

Multi-Format Compatible Pipeline

Process with the same pipeline, whether CSV, Excel, or PDF. Fully automated from upload to output, seamlessly integrated into your existing workflow.

MULTI-FORMAT PIPELINE

Multi-Format Compatible Pipeline

Process with the same pipeline, whether CSV, Excel, or PDF. Fully automated from upload to output, seamlessly integrated into your existing workflow.

PYTHON SDK

Python SDK / REST API / CLI

Flexible support for everything from programmable batch processing to manual operations. Easy integration with e-commerce platforms, PIM, and AI recommendation engines.

PYTHON SDK

Python SDK / REST API / CLI

Flexible support for everything from programmable batch processing to manual operations. Easy integration with e-commerce platforms, PIM, and AI recommendation engines.

PYTHON SDK

Python SDK / REST API / CLI

Flexible support for everything from programmable batch processing to manual operations. Easy integration with e-commerce platforms, PIM, and AI recommendation engines.