Create structured product specifications and details for your Google Shopping feed using AI

High-quality product shopping feed includes a comprehensive set of attributes, including product details and specifications. This has become even more important following Google’s recent announcement about Google Shopping becoming more agentic.

To be considered by semantic algorithms and AI agents, it’s important to provide as many relevant details as possible so they can answer questions like “How heavy is this item?” or “Show me all vegan sports shoes in size 38.”

Often, this data already exists in your current product content or images, but it isn’t explicitly stated and needs to be inferred. Using Feedoptimise AI tools, product specs can be easily extracted and formatted in the way Google Shopping and other channels understand.

To give you an idea of some of these details, we’ve listed the top 10 across six popular categories:

Apparel (clothing)

  1. Material / fabric composition (%)
  2. Colour
  3. Size system (UK/EU/US)
  4. Fit (slim/regular/oversized)
  5. Key measurements (chest/waist/hip/inseam/length)
  6. Stretch level
  7. Pattern / print
  8. Closure type (zip/buttons/pull-on)
  9. Care instructions (wash/iron/tumble)
  10. Certifications (organic/recycled/OEKO-TEX)

Footwear

  1. Size system (UK/EU/US)
  2. Upper material
  3. Sole material
  4. Lining/insole material
  5. Colour
  6. Heel height (or stack height)
  7. Closure type (laces/slip-on/buckle)
  8. Width fitting (narrow/standard/wide)
  9. Waterproof / water-resistant rating
  10. Grip / outsole type

Consumer electronics

  1. Dimensions + weight
  2. Display (size/type/resolution/refresh rate)
  3. Processor / chipset
  4. RAM
  5. Storage capacity
  6. Battery life + battery capacity
  7. Charging (W) + port type
  8. Connectivity (Wi-Fi/BT/NFC/5G)
  9. Ports / I/O
  10. OS / compatibility

Home & kitchen appliances

  1. Dimensions + weight
  2. Capacity (L/cups/basket size)
  3. Power (W) + voltage (V)
  4. Settings/programmes count
  5. Temperature range/control type
  6. Material (especially food-contact parts)
  7. Performance metric (suction/CADR/pressure etc.)
  8. Noise level (dB)
  9. What’s included (attachments/accessories)
  10. Warranty length

Beauty & personal care

  1. Skin/hair type suitability
  2. Key ingredients (actives)
  3. Full ingredients list (INCI)
  4. Strength/concentration (where applicable)
  5. Shade/colour (if relevant)
  6. Finish/texture (matte, dewy, gel, cream)
  7. Scent/fragrance info
  8. Allergens/sensitivity notes
  9. Size/volume (ml/g)
  10. How to use (frequency + routine placement)

Food & drink

  1. Ingredients list
  2. Allergens (contains/may contain)
  3. Nutrition (per 100g/ml and per serving)
  4. Serving size + servings per pack
  5. Net weight/volume
  6. Storage instructions (ambient/chilled/frozen)
  7. Dietary suitability (vegan/halal/gluten-free, if true)
  8. Country of origin
  9. Preparation/cooking instructions
  10. Use-by/best-before guidance (where applicable)


How can Feedoptimise help enrich your feed with product details and specifications?

Feedoptimise provides a complete set of AI tools that enable you to optimise titles, descriptions, categories, images, and other attributes, as well as extract additional data such as product specifications.

We have dedicated tools specifically for this. Below, you can see it in action using the Product Details Extractor Modifier powered by OpenAI models. You can pass any attributes as input, and it will extract all relevant product detail specifications:

The modifier above lets you extract specifications and details from your content and pass them to the Google Shopping feed, helping the agentic experience understand your data and reach more potential customers, increasing your return on investment.

And of course this can be used for your other feeds too helping you to improve your overall feed quality and campaign performance.