AI Visibility Table
The AI Visibility table captures LLM prompt execution results for a shop. One row per prompt execution, including the prompt, response preview, shop mention flag, competitor visibility, and cited sources.
Table GuideWhat You Can Answer With This Table
- How often is my shop mentioned in AI answers? — use
visibility_percentage,is_mentioned- Which topics or prompts are driving AI visibility? — group by
topic_name,prompt_text- Which sources are cited in AI responses? — use
sources.source_domain,sources.source_urlBefore You Query
- Required field:
event_dateWhen to Use a Different Table
- Use Social Media Brand Mentions table when you need public social posts that mention your brand. The AI Visibility table is for brand mentions inside LLM prompt results and AI answer visibility.
Dimensions
Dimensions are immutable properties that can be used for grouping data.
| Title | ID | Type | Description |
|---|---|---|---|
| Event Date | event_date | date | The date the AI visibility prompt execution ran. Based on the shop time zone at the moment of the event (or the user time zone, if no sales platform is connected). |
| Event Day | event_date.day | date | The day the event occurred. Derived from event_date. |
| Event Week | event_date.week | date | The Sunday of the week during which the event occurred. Derived from event_date. |
| Event Month | event_date.month | date | The month during which the event occurred. Derived from event_date. |
| Event Quarter | event_date.quarter | date | The first month of the quarter during which the event occurred. Derived from event_date. |
| Event Year | event_date.year | date | The year during which the event occurred. Derived from event_date. |
| Competitors Visibility | competitors_visibility | record repeated | Competitor visibility data for the prompt execution. Each record represents a competitor and whether they were mentioned in the LLM response. |
| Competitor ID | competitors_visibility.competitor_id | string | Unique identifier for the competitor. Example value: |
| Competitor Name | competitors_visibility.competitor_name | string | Display name of the competitor. Example value: |
| Competitor URL | competitors_visibility.competitor_url | string | URL of the competitor. Example value: |
| Competitor Is Mentioned | competitors_visibility.is_mentioned | boolean | Whether this competitor was mentioned in the LLM response. Possible values: |
| Prompt Execution Timestamp | event_timestamp | timestamp | Timestamp of when the prompt execution ran (UTC). Example value: |
| Prompt Execution ID | execution_id | string | Unique identifier for a single prompt execution. Example value: |
| Is Mentioned | is_mentioned | boolean | Whether the shop was mentioned in the response. Possible values: |
| LLM | llm | string | The LLM that was used for the prompt execution. Example values: |
| Prompt ID | prompt_id | string | The prompt identifier associated with the execution. Example value: |
| Prompt Text | prompt_text | string | The prompt text used for the execution. Example values: |
| Response Preview | response_preview | string | Preview of the LLM response (first 200 characters). Example value: |
| Shop ID | shop_id | string | The unique ID of the shop (often corresponds to the shop domain). Can be used to group or filter data by shop in multi-store reports. Example values: |
| Shop Name | shop_name | string | The name of the shop. Can be used to group or filter data by shop in multi-store reports. Example values: |
| Cited Sources | sources | record repeated | Citations/sources returned by the LLM for the prompt execution. Each record represents one cited source. |
| Cited Source Domain | sources.source_domain | string | Domain of a cited source. Example value: |
| Cited Source URL | sources.source_url | string | URL of a cited source. Example value: |
| Citation Order | sources.citation_order | numeric | Order of the citation in the response (lower numbers appear earlier). Example value: |
| Topic ID | topic_id | string | The topic identifier associated with the prompt execution. Example value: |
| Topic Name | topic_name | string | The topic name associated with the prompt execution. Example value: |
Derived
Derived fields are metrics that are pre-calculated using multiple measures or advanced formulas.
| Title | ID | Type | Description |
|---|---|---|---|
| Visibility Percentage | visibility_percentage | formula | Percentage of prompt executions where the shop was mentioned in the LLM response. Visibility % = Number of Mentions / Number of Prompt Executions |
Updated 7 days ago