> ## Documentation Index
> Fetch the complete documentation index at: https://docs.superlines.io/llms.txt
> Use this file to discover all available pages before exploring further.
# Mentions
> Explore how your brand is mentioned across AI responses and identify gaps where competitors lead.
The Mentions page (Response Analysis) provides a complete view of your brand's presence in AI-generated responses. It combines a high-level overview of mention share and rankings with a detailed table of every tracked response.
## Overview tab
### Share of Mentions
A donut chart showing how brand mentions are distributed across all AI responses for your tracked prompts. This tells you at a glance what portion of the AI conversation your brand owns.
### Top Prompts driving mentions
Lists the prompts that generate the most brand mentions. These are the topics where your brand is most likely to be referenced by AI models — and where you have the strongest presence.
### Top Brands
Shows which brands (yours and competitors) are mentioned most frequently across all tracked prompts and engines.
### Mention Rankings
A ranked table showing how your domain and competitors perform on mentions:
* Domain rank by total mentions
* Mention count and percentage share
* Change vs. previous period
### Mentions Gap
One of the most actionable sections — it identifies prompts where competitors are mentioned but your brand is not. Each gap shows:
* The prompt where you're missing
* Which competitors are mentioned instead
* The potential opportunity if you close the gap
The Mentions Gap is your most direct path to improving brand visibility. Each missing mention represents a specific prompt you can target with content optimization.
## Response Data tab
A detailed table where each row represents a tracked prompt on a specific date:
| Column | Description |
| ------------------- | ------------------------------------------------ |
| **Prompt** | The tracked prompt text |
| **LLM Engines** | Which engines were tested (shown as icons) |
| **Mentioned In** | Number of models where your brand was mentioned |
| **Total Models** | Total models tested |
| **Total Citations** | Number of citations in responses |
| **Sentiment** | Dominant sentiment (Positive, Neutral, Negative) |
### Response detail view
Click any row to open a side panel showing all AI responses for that prompt and date:
* Full response text from each engine
* Sentiment analysis per response
* Sentiment score
* Whether web search was used
* Citation count and cited URLs
* All brands mentioned in the response
Click an engine icon in the table to jump directly to that engine's response in the detail view.
## Filters
* **Date range** — select the analysis period
* **LLM engines** — filter by specific AI engines (multi-select)
* **Brand Mentioned** — show all responses, only those mentioning your brand, or only those where your brand is absent
* **Website Cited** — show all responses, only those citing your site, or only those not citing your site
* **Variation** — filter by first response or any variation
* **Search text** — search within prompt text or response content
The "Brand NOT mentioned" filter combined with "Website NOT cited" is particularly useful for finding prompts where you have zero presence — your biggest growth opportunities.
## Exporting data
The Response Data tab supports CSV export. Click the export button to download all filtered response data.
## Related pages
How responses are collected and brand detection works.
Deep-dive into citation data and URL-level analysis.
Analyze the tone of AI responses about your brand.
See how your mention share compares to competitors.