Introduction

analyticsUnderstanding AI Readiness Score

AI Checker calculates a 0-100 score based on three key dimensions:

calculateScoring Algorithm & Grade System

The AI Readiness Score (0-100) is calculated based on the presence and quality of AI-ready data formats. Each component contributes to the total score according to its importance for AI discoverability.

Score Weights (Maximum 100 points)

Grade System

rocket_launchHow to Use AI Checker

1. Navigate to theAI Checkerpage
2. Enter a competitor's website URL (e.g., https://example.com)
3. Click "Analyze" to start the scan
4. Review the technical scan results for each data format
5. Check the AI Readiness Score to see their overall AI-friendliness
6. Use SkuSync to generate better AI-Ready data and outperform competitors

smart_toyOpenAI Integration

Use the generated JSON Schema with OpenAI's Function Calling for structured product queries.

// Using JSON Schema with OpenAI Function Calling
const response = await openai.chat.completions.create({
  model: "gpt-4",
  messages: [{ role: "user", content: "Find red shoes under $50" }],
  functions: [{
    name: "search_products",
    parameters: jsonSchema // Use generated JSON Schema
  }]
});

storageVector Database Import

Import NDJSON output into Pinecone or other vector databases for semantic search.

// Importing NDJSON to Pinecone
const fs = require('fs');
const ndjsonLines = fs.readFileSync('products.ndjson', 'utf-8').split('\n');

for (const line of ndjsonLines) {
  if (line.trim()) {
    const product = JSON.parse(line);
    await pineconeIndex.upsert({
      vectors: [{
        id: product.id,
        metadata: product,
        values: await embed(product.triples.join(' '))
      }]
    });
  }
}

checklistData Quality Checklist

• check_circleEnsure CSV is UTF-8 encoded for proper character handling
• check_circleVerify required columns (Handle, Title*, Vendor, Tags, Collections)
• check_circleCheck for duplicate SKUs to avoid data conflicts
• check_circleValidate image URLs are accessible and properly formatted
• check_circleRemove any unnecessary HTML from product descriptions

datasetLarge Dataset Strategy

• tips_and_updatesSplit files larger than 10,000 products for better performance
• tips_and_updatesUse batch mode for multiple files to merge results efficiently
• tips_and_updatesMonitor browser memory usage when processing large datasets
• tips_and_updatesConsider using NDJSON for streaming large datasets to databases