As OpenAI tools like ChatGPT begin surfacing product listings and shopping results directly in their interfaces, the accuracy, quality, and optimisation of product feeds are now more critical than ever.

A comprehensive audit, like the one outlined below, ensures that businesses are fully aligned with best practices for Google Shopping and feed management, helping them maintain visibility, accuracy, and competitive performance across both search engines and emerging AI-powered platforms.

The increasing reliance on AI to interpret and surface e-commerce content means feeds must be:

• Technically precise (e.g., correct use of GTINs, sale prices, and categorisation),
• Visually appealing (high-quality images free from disallowed elements),
• Content-rich (optimised titles and descriptions tailored for both search relevance and AI parsing),
• And strategically structured (with logical use of custom labels and item groupings).

Shopping Audit Prompt

Instructions:

Step 1: Select “Deep Dive Analysis” in ChatGPT
Step 2: Copy and paste the prompt below
Step 3: Add your XML feed (you may attach it as a Word doc)

Prompt:

I would like a comprehensive, in-depth Google Shopping audit of the product feed (XML) I will send you shortly, focused on the (LOCATION HERE) market.

The audit should specifically focus on best practices in Google Shopping and Feed Management.

Please analyze the product feed and use best practices from Google Shopping Ads, particularly from Channable and DataFeedWatch.

Structure of the Report

Present your analysis in a table format:

• Vertical (Rows): per element
  
• Horizontal (Columns): Element, Analysis, Best Practice, Strengths, Recommendations, Impact (High/Medium/Low)
  

Audit Sections:

Titles [title]

• Are titles clear and is key product info front-loaded for search relevance?
  
• Do they include brand, size, color, model number, and avoid being too long or vague?
  
• Are the full 150-character limits used effectively?
  

Descriptions [description]

• Are descriptions clear and detailed, with key features in the first 160 characters?
  
• Are they free of links, promos, symbols, HTML, or unnecessary capitalization?
  
• Do they include relevant features (material, color, size, age group, etc.)?
  

Images [image_link]

• Are images free of borders, branded backgrounds, or promotional elements?
  
• Are they high quality (at least 1500×1500), with proper focus and scale?
  
• Are image URLs functional and only one image_link used per product?
  

Product Prices [price, sale_price & sale_price_effective_date]

• Are feed prices consistent with the product page and up-to-date?
  
• Are prices formatted correctly with VAT included, no hidden costs?
  
• Are sales prices correctly entered and timed?
  

Categorization [google_product_category & product_type]

• Is google_product_category correctly mapped to the most specific option?
  
• Is product_type structured hierarchically and not overly generic?
  
• Are breadcrumb paths clear and keyword stuffing avoided?
  

Product Identifiers [brand, gtin, mpn & ean]

• Are GTINs or EANs valid and applied to each variant?
  
• Is the brand field accurate and consistent in language/script?
  
• Is MPN used correctly per manufacturer and per variant?
  

Groupings [item_group_id]

• Is the same item_group_id used for variants of a parent SKU?
  
• Is it not used where there are no variants?
  
• Are variant attributes (e.g. color/material) included?
  

Product Details [product_detail & product_highlight]

• Are these fields used for extra information not covered elsewhere?
  
• Are sub-attributes properly structured (section_name, attribute_name, attribute_value)?
  
• Are 4–6 highlights listed per product, max 150 characters each?
  

Custom Labels

• What custom labels are used, and for what purpose (e.g., margin, season, inventory)?
  
• Are labels logically segmenting products by margin/performance?
  
• Do labels reflect inventory or performance (e.g. “Low Stock”, “Underperforming”)?
  

Other Relevant Attributes [color, gender, material, size, condition]

• Is color listed using a primary color and up to 2 secondaries (e.g., “blue/white”)?
  
• Is material listed accurately, up to 3 items (e.g., “cotton/polyester/elastane”)?
  
• Are sizes clearly defined, standardized, and consistent?
  

Quick Wins & Growth Opportunities

List at least 10 easy optimizations that deliver quick improvements.

For each:

• State priority
  
• Ease of implementation
  
• Potential impact
  

Report Requirements:

• Must include over 150 Google Shopping Ads checkpoints
  
• Must be actionable and concrete (no fluff or generic tips)
  
• Should include tables, visual aids, example screenshots, and comparisons
  
• Written for an experienced e-commerce or Google Ads professional
  
• Must be ready-to-implement by a team immediately
  
• Well-structured per page and per audit section
  

This audit should result in a complete Google Shopping Ads advisory document, serving both strategic and tactical improvement needs — effectively a blueprint for an optimized product feed.