What are Related Prompts | Empathy Platform Docs

3 min read

Related prompts are actionable recommendations surfaced within the Empathy Platform. They guide people to explore, filter, or engage with content and products in a contextually relevant way.

A related prompt consists of:

Suggestion text: A brief description of the recommendation.
Optional image: An illustration that visually supports the recommendation.
Actionable content: The core of the prompt, which can be:
- Expansive prompts: A list of search queries to broaden exploration.
- Item recommendations: A list of products or items relevant to the user’s context.
- Reductive prompts: A set of filters to narrow down search results.
- Conversational chat: An introductory text to open a chat-based interaction.

interact

Willing to know more about Related Prompts? Check the Related Prompts overview page to keep reading.

Each related prompt follows a standardized schema, making it easy to parse and act upon. Here is the general structure:

{
  "suggestionText": "Description of the recommendation",
  "image": {
    "url": "https://example.com/image.jpg",
    "altText": "Image description"
  },
  "metadata": {
    "origin": "source/origin",
    "createdAt": "ISO timestamp",
    "model": "model-name",
    "source": "optional-source-id"
  },
  "context": {
    "lang": "language-code",
    "instance": "platform-instance",
    "vertical": "vertical",
    "categories": ["category1", "category2"],
    "subcategories": ["subcategory1", "subcategory2"]
  },
  "id": "unique-id",
  "type": "prompt-type",
  "content": {
    // Varies by type (see examples below)
  }
}

These are some examples of related prompts based on the type of actional content:

Expansive recommendation

This example shows how to use related prompts to broaden the shopper's exploration with suggested search queries:

{
  "suggestionText": "Explore these related topics about machine learning",
  "image": {
    "url": "https://example.com/images/machine-learning-topics.jpg",
    "altText": "Neural network visualization"
  },
  "metadata": {
    "origin": "online",
    "createdAt": "2023-06-15T08:30:00Z",
    "generation_model": "deepseek/deepseek-R1",
    "source": null
  },
  "context": {
    "lang": "en",
    "instance": "mymotivemarketplace",
    "vertical": "art-and-books",
    "categories":["Books"],
    "subcategories": ["Machine Learning", "Technology"]    
  },
  "id": "rec-ml-topics-123",
  "type": "expansive",
  "content": {
    "searchQueries": [
      "machine learning basics",
      "neural networks tutorial",
      "deep learning frameworks comparison",
      "AI ethics concerns",
      "machine learning job market"
    ]
  }
}

Item recommendation

This example shows how to use related prompts to recommend specific products or items.


{
  "suggestionText": "Check out these camping essentials for your next trip",
  "image": {
    "url": "https://example.com/images/camping-gear.jpg",
    "altText": "Camping equipment laid out on grass"
  },
  "metadata": {
    "origin": "curated",
    "createdAt": "2023-07-22T14:15:30Z",
    "model": "deepseek/deepseek-R1",
    "source": "outdoor_expert_123"
  },
  "context": {
    "lang": "en",
    "instance": "mymotivemarketplace",
    "vertical": "art-and-books",
    "categories":["Books"],
    "subcategories": ["Machine Learning", "Technology"]    
  },
  "id": "rec-camping-456",
  "type": "item-recommendation",
  "content": {
    "products": [
      {
        "id": "prod-789",
        "name": "3-Season Backpacking Tent",
        "description": "Lightweight, waterproof tent perfect for spring through fall camping",
        "imageUrl": "https://example.com/images/products/tent.jpg"
      },
      {
        "id": "prod-790",
        "name": "Portable Camping Stove",
        "description": "Compact butane stove that folds for easy packing",
        "imageUrl": "https://example.com/images/products/stove.jpg"
      },
      {
        "id": "prod-791",
        "name": "Water Purification System",
        "description": "Filter that removes 99.9% of bacteria from stream water",
        "imageUrl": "https://example.com/images/products/water-filter.jpg"
      }
    ]
  }
}

Reductive recommendation (search filters)

This example shows how to use related prompts to help people narrow down search results using filters.


{
  "suggestionText": "Narrow your laptop search with these specifications",
  "image": null,
  "metadata": {
    "origin": "online",
    "createdAt": "2023-08-05T10:22:45Z",
    "model": "deepseek/deepseek-R1",
    "source": null
  },
  "context": {
    "lang": "en",
    "instance": "mymotivemarketplace",
    "vertical": "art-and-books",
    "categories":["Books"],
    "subcategories": ["Machine Learning", "Technology"]    
  },
  "id": "rec-laptop-filter-789",
  "type": "reductive",
  "content": {
    "filters": [
      {
        "name": "processor",
        "value": ["Intel i7", "AMD Ryzen 7"]
      },
      {
        "name": "ram",
        "value": "16GB"
      },
      {
        "name": "ssd",
        "value": "512GB"
      },
      {
        "name": "price_range",
        "value": {
          "min": 800,
          "max": 1500
        }
      },
      {
        "name": "has_discrete_gpu",
        "value": true
      }
    ]
  }
}

Conversational chat

This example shows how to use related prompts to invite people to start a chat-based interaction.

{
  "suggestionText": "Are you looking for a recipe? Let's chat!",
  "image": {
    "url": "https://example.com/images/chef-assistant.jpg",
    "altText": "Chef in kitchen preparing food"
  },
  "context": {
    "lang": "en",
    "instance": "mymotivemarketplace",
    "vertical": "art-and-books",
    "categories":["Books"],
    "subcategories": ["Machine Learning", "Technology"]    
  },
  "metadata": {
    "origin": "offline",
    "createdAt": "2023-09-12T16:30:00Z",
    "model": "deepseek/deepseek-R1",
    "source": "recipe_assistant_v2"
  },
  "id": "rec-recipe-chat-101",
  "type": "conversational-chat"
}

More info

Related Prompts overview

Customizing Related Prompts on the SERP

Excelling your commerce store with a smart shopping assistant using Related Prompts

Enhancing your commerce search experience using conversational queries with Related Prompts

Structure of a related prompt

More info