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Dotidot glossary
AI shopping agent

AI shopping agent

In short

An AI system that uses connected tools to carry out shopping tasks for a user, such as finding offers or preparing an authorized purchase.

An AI shopping agent carries out shopping tasks using connected tools or services. It can retrieve information, compare options, and take permitted steps toward an order.

Its actual capabilities depend on the integration. Some agents stop at research or cart preparation. Others support purchasing, with the required authorization and transaction checks.

A practical example

Imagine a shopper requesting a specific replacement laptop charger, delivered before a business trip. The agent needs the laptop model, required connector, delivery destination, and spending limit.

It finds a suitable offer and presents the item, seller, shipping date, and total. If the buyer has authorized only research, the process stops there. This illustrative scenario makes the action boundary explicit instead of assuming every helpful recommendation permits a purchase.

Evaluate actions, not labels

An “agent” label does not establish access to every store or payment method. Check what happens when stock changes, information conflicts, or an order is declined.

Payment protocols distinguish transactions approved while the user is present from constrained actions authorized in advance. Either approach needs evidence of permission. For merchants, accurate variant data and a reliable checkout response matter more than whether the interface appears conversational. An order is complete only when the transaction system confirms it.

Related terms

  • AI shopping assistant
  • Agentic AI
  • Agentic commerce

Sources

  • Anthropic: Building effective agents
  • Agent Payments Protocol: Specification

Related reading

  • AI | Dotidot blog
All glossary terms
Product data
  • Custom labels
  • Direct-to-consumer (DTC)
  • Google Merchant Center
  • Google Shopping Graph
  • GTIN
  • Item ID
  • JSON-LD
  • Merchant
  • Product attribute
  • Product catalog
  • Product data enrichment
  • Product feed
  • Product feed management
  • Product segmentation
  • Product structured data
  • Product variant
  • Schema.org
  • SKU (stock keeping unit)
Paid advertising
  • Ad fraud
  • Ad Rank
  • Amazon advertising strategy
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  • Campaign automation
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  • Dayparting
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  • E-commerce advertising
  • Google Ads keyword match types
  • Google Shopping
  • Keyword harvesting
  • Lookalike audience percentage
  • Meta ads
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  • Performance Max
  • Pinterest advertising
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  • Retail media network
  • Retargeting
  • Search advertising
  • Search engine marketing (SEM)
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  • Smart Bidding
  • Walmart advertising
  • YouTube advertising
Measurement and analytics
  • A/B testing
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  • AOV (average order value)
  • Attribution
  • Brand awareness
  • Click ID
  • Conversion rate
  • Conversion tracking
  • Conversion window
  • CPA (cost per action)
  • CPC (cost per click)
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  • CTR (click-through rate)
  • Enhanced conversions
  • GCLID (Google Click Identifier)
  • Google Analytics 4 (GA4)
  • Google Tag Manager
  • Incrementality testing
  • KPI (key performance indicator)
  • Lead
  • Multi-touch attribution (MTA)
  • ROAS (return on ad spend)
  • Share of voice
  • Tracking pixel
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AI commerce
  • Agentic commerce
  • Agentic Commerce Protocol (ACP)
  • AI commerce
  • AI product recommendations
  • AI shopping
  • AI shopping agent
  • AI shopping assistant
  • Alexa for Shopping
  • ChatGPT product feed
  • ChatGPT Shopping
  • Conversational commerce
  • Google AI Mode
  • Google AI Overviews
  • Instant checkout
  • Perplexity Shopping
  • Product feed optimization for AI shopping
  • Universal Commerce Protocol (UCP)
Search and AI visibility
  • AI brand mention
  • AI citation
  • AI crawlability
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  • AI share of voice
  • AI traffic attribution
  • AI visibility
  • Answer engine optimization (AEO)
  • Generative engine optimization (GEO)
  • llms.txt
  • Prompt monitoring
  • Prompt research
  • robots.txt
  • Search engine optimization (SEO)
Practical AI foundations
  • Agentic AI
  • Grounding
  • Model Context Protocol (MCP)
  • Prompt
  • Query fan-out
  • Retrieval-augmented generation (RAG)
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