Complete AI Product Description Generator Transforms product images into high-converting copy with GPT-4o Vision + Claude 3.5 The Shopify AI Product Description Factory is a production-grade n8n workflow that converts product images and metadata into refined, SEO-aware descriptions—fully automated and region-agnostic. It blends GPT-4o vision for visible attribute extraction, Claude 3.5 Sonnet for premium copy, Perplexity research for verified brand context, Google Sheets for orchestrati

Complete AI Product Description Generator Transforms product images into high-converting copy with GPT-4o Vision + Claude 3.5 The Shopify AI Product Description Factory is a production-grade n8n workflow that converts product images and metadata into refined, SEO-aware descriptions—fully automated and region-agnostic. It blends GPT-4o vision for visible attribute extraction, Claude 3.5 Sonnet for premium copy, Perplexity research for verified brand context, Google Sheets for orchestration and audit trails, plus automated daily sales analytics enrichment. Link-header pagination and structured output enforcement ensure reliable scale. To refine according to your usecase connect via my profile @connect Key Advantages Vision-first copywriting Uses gpt-4o to identify only visible physical attributes (closure, heel, materials, sole) from product images—no guesses. Premium copy generation anthropic/claude-3.5-sonnet crafts concise, benefit-led descriptions with consistent tone, length control, and clean formatting. Research-assisted accuracy perplexityTool verifies vendor/brand context from official sources to avoid speculation or fabricated claims. Pagination you can trust Automates Shopify REST pagination via Link headers and persists pageinfo for resumable runs. Google Sheets orchestration Centralized staging, status tracking, and QA in Products, with ProcessingState for batch/page markers, and Errorlog for diagnostics. Bulletproof error feedback errorTrigger + AI diagnosis logs clear, non-technical and technical explanations to Errorlog for fast recovery. Automated sales analytics Daily sales tracking automatically captures and enriches total sales data for comprehensive business intelligence and performance monitoring. How It Works Intake and filtering - httpRequest fetches /admin/api/2024-04/products.json?limit=200&{pageinfo} - code filters only items with: - Image present - Empty bodyhtml - The currSeas:SS2025 tag - Extracts tag metadata such as x-styleCode, countryoforigin, and gender when available Pagination controller - code parses Link headers for rel="next" and extracts pageinfo - googleSheets updates ProcessingState with pageinfonext and increments the batch number for resumable polling Generation pipeline - googleSheets pulls rows with Status = Ready for AI Description; limit throttles batch size - openAi Analyze image (model gpt-4o) returns strictly visible features - lmChatOpenRouter (Claude 3.5) composes the SEO description, optionally blending verified vendor context from perplexityTool - outputParserStructured guarantees strict JSON: productid, producttitle (normalized), generateddescription, status - googleSheets writes results back to Products for review/publish Sales analytics enrichment - Schedule Trigger runs daily at 2:01 PM to capture previous day's sales - httpRequest fetches paid orders from Shopify REST API with date range filtering - splitOut and summarize nodes calculate total daily sales - Automatic Google Sheets logging with date stamps and totals - Zero-sale days are properly recorded for complete analytics continuity Reliability and insight errorTrigger routes failures to an AI agent that explains the root cause and appends a concise note to Errorlog. What's Inside (Node Map) Data + API - httpRequest (Shopify REST 2024-04 for products and orders) - googleSheets (multiple sheet operations) - googleSheetsTool (error logging) AI models - openAi (gpt-4o vision analysis) - lmChatOpenRouter (anthropic/claude-3.5-sonnet for content generation) - AI Agent (intelligent error diagnosis) Analytics & Processing - splitOut (order data processing) - summarize (sales totals calculation) - set nodes (data field mapping) Tools and guards - perplexityTool (brand research) - outputParserStructured (JSON validation) - memoryBufferWindow (conversation context) Control & Scheduling - scheduleTrigger (multiple time-based triggers) - cron (periodic execution) - limit (batch size control) - if (conditional logic) - code (custom filtering and pagination logic) Observability - errorTrigger + AI diagnosis to Errorlog - Processing state tracking - Sales analytics logging Content & Compliance Rules - Locale-agnostic copy; brand voice is configurable per store - Only image-verifiable attributes (no guesses); clean HTML suitable for Shopify themes - Optional normalization rules (e.g., color/branding cleanup, title sanitization) - Style code inclusion supported when x-styleCode is present - Gender-aware content generation when gender tag is present - Strict JSON output and schema consistency for safe downstream publishing Setup Steps Core integrations - Shopify Access Token — Products read + Orders read (REST 2024-04) - OpenAI API — gpt-4o vision - OpenRouter API — Claude Sonnet (3.5) - Perplexity API — vendor/market verification via perplexityTool - Google Sheets OAuth — Products, ProcessingState, Errorlog, Sales analytics Configure sheets - ProcessingState with fields: - batch number - pageinfonext - Products with: - Product ID - Product Title - Product Type - Vendor - Image url - Status - country of origin - xstylecode - gender - Generated Description - Errorlog with: - timestamp - Reason of Error - Sales Analytics Sheet with: - Date - Total Sales Workflow Capabilities Discovery and staging Auto-paginate Shopify; stage eligible products in Sheets with reasons and timestamps. Vision-grounded copywriting Descriptions reflect only visible attributes plus verified brand context; concise, mobile-friendly structure with gender-aware tone. Metadata awareness Auto-injects x-styleCode, countryoforigin, and gender when present; natural SEO for brand and product type. Sales intelligence Automated daily sales tracking with Melbourne timezone support, handles zero-sale days, and maintains complete historical records. Error analytics Layman + technical diagnosis logged to Errorlog to shorten MTTR. Safe output Structured JSON via outputParserStructured for predictable row updates. Credentials Required - Shopify Access Token (Products + Orders read permissions) - OpenAI API Key (GPT-4o vision) - OpenRouter API Key (Claude Sonnet) - Perplexity API Key - Google Sheets OAuth Ideal For - E-commerce teams scaling compliant, on-brand product copy with comprehensive sales insights - Agencies and SEO specialists standardizing image-grounded descriptions with performance tracking and analytics - Stores needing resumable pagination, auditable content operations, and automated daily sales reporting in Sheets Advanced Features - Dual-workflow architecture: Content generation + Sales analytics in one system - Link-header pagination with pageinfo persistence in ProcessingState - Title/content normalization (e.g., color removal) configurable per brand - Gender-aware copywriting based on product tags - Memory windows (memoryBufferWindow) to keep multi-step prompts consistent - Melbourne timezone support for accurate daily sales cutoffs - Zero-sales handling ensures complete analytics continuity - Structured Output enforcement for downstream safety - AI-powered error diagnosis with technical and layman explanations Time & Scheduling (Universal) The workflow includes two independent schedules: - Content Generation: Every 5 minutes (configurable) for product processing - Sales Analytics: Daily at 2:01 PM Melbourne time for previous day's sales For globally distributed teams, schedule triggers and timestamps can be standardized on UTC to avoid regional drift. Pro Tip Start with small batches (limit set to 10 or fewer) to validate both copy generation and sales tracking flows. The workflow handles dual operations independently - content generation failures won't affect sales analytics and vice versa. Monitor the Errorlog sheet for any issues and use the ProcessingState sheet to track pagination progress.
Download the workflow JSON file after purchase.
Open n8n → click the menu → Import from File.
Select the downloaded JSON and import.
Set up credentials for each node that requires them.
Click Execute Workflow to test, then activate.
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