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

# Mentions

> Read the actual AI responses that mention your brand

Mentions is where you read exactly what AI said. If other screens tell you "how much," this one shows you **"how."**

<Note>
  There's no dedicated sidebar entry. Click into a specific metric on [AI Visibility](/dashboard/visibility) or a specific prompt on [Prompt](/dashboard/prompts) to get here.
</Note>

<Frame>
  <img src="https://mintlify.s3.us-west-1.amazonaws.com/opactor/images/dashboard/mentions-list.png" alt="Mentions list" />
</Frame>

## Mentions overview

The top of the page summarizes mention activity for the selected period. **Performance by Platform** breaks that down engine by engine.

## The list

| Column    | Meaning                                          |
| --------- | ------------------------------------------------ |
| Query     | The prompt sent to the AI                        |
| Model     | The AI engine that generated the response        |
| Country   | The measured region                              |
| Mentioned | Whether the brand was mentioned in this response |
| Position  | Where the mention landed in the answer           |
| Sentiment | Positive, neutral, or negative                   |
| Top Pick  | Whether AI recommended the brand first           |

<Tip>
  **Top Pick is the column that matters most.** If you're mentioned but competitors keep winning Top Pick, you're getting exposure without getting the recommendation. That calls for stronger evidence and differentiation, not more pages.
</Tip>

## Reading a full response

Select a row to see the full AI response along with the sources it cited.

<Frame>
  <img src="https://mintlify.s3.us-west-1.amazonaws.com/opactor/images/dashboard/mentions-detail.png" alt="Mention detail" />
</Frame>

What to check while reading:

| Check                             | What you're deciding                                                                |
| --------------------------------- | ----------------------------------------------------------------------------------- |
| What context were we mentioned in | Recommended, just listed, or used as a comparison point                             |
| What evidence was cited           | Did it come from your page or someone else's                                        |
| Are the facts accurate            | Price, ingredient, or spec errors need a [Knowledge](/dashboard/knowledge-base) fix |
| How was the competitor described  | If they're described in more detail, that's a content gap for you                   |

## Handling negative mentions

Responses with negative sentiment are your priority queue.

<Steps>
  <Step title="Read the response">
    Open the negative-sentiment response and read the actual sentence. Decide whether it's a factual error, a fair drawback, or outdated information.
  </Step>

  <Step title="Trace the source">
    Check the response's cited sources to find where the claim came from.
  </Step>

  <Step title="Decide the fix">
    If it's a factual error, correct it in [Knowledge](/dashboard/knowledge-base) and build a page on the topic in [On-Site](/dashboard/on-site). If an external source is the cause, hand it to [Off-Site](/dashboard/off-site).
  </Step>
</Steps>

<Warning>
  A negative mention is sometimes grounded in a real product issue. Confirm the facts before you try to bury it with content.
</Warning>

## Troubleshooting

<AccordionGroup>
  <Accordion title="There are no queries at all">
    Analysis has to run before AI responses and mentions accumulate. If you just onboarded, wait for the first run to finish.
  </Accordion>

  <Accordion title="It says there's no platform data">
    Same cause. Platform breakdowns fill in after an analysis run.
  </Accordion>

  <Accordion title="Mentioned is yes but position is empty">
    The brand appeared, but not enough other brands appeared alongside it to compute a rank.
  </Accordion>

  <Accordion title="The sentiment label doesn't match the actual sentence">
    Sentiment is classified automatically and can miss context. For calls that matter, read the response yourself.
  </Accordion>
</AccordionGroup>

## Related

<CardGroup cols={2}>
  <Card title="AI Visibility" icon="eye" href="/dashboard/visibility">
    See the metrics these mentions roll up into.
  </Card>

  <Card title="Prompt" icon="message" href="/dashboard/prompts">
    See which question produced this response.
  </Card>

  <Card title="Citation" icon="link" href="/dashboard/citation">
    Analyze the sources behind the response.
  </Card>

  <Card title="Knowledge" icon="database" href="/dashboard/knowledge-base">
    Manage the brand facts that correct inaccurate mentions.
  </Card>
</CardGroup>