> ## Documentation Index
> Fetch the complete documentation index at: https://docs.frictionai.co/llms.txt
> Use this file to discover all available pages before exploring further.

# Shopping Prompts

> Track purchase intent, product recommendations, shopping websites, and AI commerce signals.

# Shopping Prompts

Shopping Prompts tracks how AI responds when the user is close to buying. It measures whether AI recommends your brand or product, how confidently it recommends it, and where it sends the buyer.

<Frame>
  <img src="https://mintcdn.com/friction/GwaVVezuSSMLCKiT/images/shopping-prompts.svg?fit=max&auto=format&n=GwaVVezuSSMLCKiT&q=85&s=cb54347ba1b7cc8e596020b1d9724b5f" alt="Shopping prompt dashboard showing commerce score, purchase readiness, AI commerce signals, and top websites" width="960" height="520" data-path="images/shopping-prompts.svg" />
</Frame>

<Info>
  Shopping prompt tracking is available on Growth, Professional, and Enterprise plans.
</Info>

## What this page measures

<CardGroup cols={2}>
  <Card title="Commerce score" icon="gauge">
    A combined view of shopping-context performance across visibility, readiness, and recommendation signals.
  </Card>

  <Card title="Purchase readiness" icon="bag-shopping">
    Whether the answer is close to driving a purchase or still vague and informational.
  </Card>

  <Card title="AI commerce signals" icon="sparkles">
    The strength of recommendation language such as best choice, top pick, recommended, or where to buy.
  </Card>

  <Card title="Top websites" icon="store">
    The domains and platforms AI recommends for purchase, including your site, marketplaces, and competitors.
  </Card>
</CardGroup>

## Prompt examples

<Tabs>
  <Tab title="Where to buy">
    ```text theme={null}
    Where can I buy [product]?
    Best place to purchase [product category]
    ```
  </Tab>

  <Tab title="Product comparison">
    ```text theme={null}
    Should I buy [brand] or [competitor] for [use case]?
    Best [product category] for [customer type]
    ```
  </Tab>

  <Tab title="Purchase validation">
    ```text theme={null}
    Is [product] worth buying?
    [brand] reviews before buying
    ```
  </Tab>

  <Tab title="Price and value">
    ```text theme={null}
    Best [product category] under [price]
    Affordable [product category] options
    ```
  </Tab>
</Tabs>

## Add shopping prompts

<Steps>
  <Step title="Open Shopping">
    Go to Tracking -> Shopping in the sidebar.
  </Step>

  <Step title="Select Add Prompts">
    Add buying, comparison, and where-to-buy prompts.
  </Step>

  <Step title="Include product URLs where useful">
    Product URLs help connect prompts to the pages AI should understand or cite.
  </Step>

  <Step title="Tag prompts">
    Use tags like `where-to-buy`, `comparison`, `reviews`, `price`, or product line names.
  </Step>
</Steps>

## Reading results

<AccordionGroup>
  <Accordion title="High commerce score">
    Your brand appears in buying answers, receives stronger recommendation language, and is associated with useful purchase surfaces.
  </Accordion>

  <Accordion title="Low purchase readiness">
    AI may mention your brand, but the answer does not confidently guide the user toward a purchase.
  </Accordion>

  <Accordion title="Competitors dominate brand mentions">
    Competitors are capturing the purchase context. Inspect their cited pages and compare the answer quality to your own product pages.
  </Accordion>

  <Accordion title="Your site is missing from top websites">
    AI may recommend marketplaces or competitor sites instead of your owned product pages. Check product page clarity, schema, pricing, reviews, and availability signals.
  </Accordion>
</AccordionGroup>

## What to fix first

<Steps>
  <Step title="Fix owned product pages">
    Make product names, use cases, prices, availability, comparisons, reviews, and FAQs obvious.
  </Step>

  <Step title="Strengthen third-party proof">
    Reviews, credible lists, and product pages on trusted platforms often influence shopping answers.
  </Step>

  <Step title="Compare against competitors">
    If competitors are repeatedly recommended, inspect what evidence AI cites for them.
  </Step>

  <Step title="Re-run after content updates">
    Use the same prompt set to measure whether readiness and recommendation signals improve.
  </Step>
</Steps>