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

# Use cases

> Common workflows you can run with the MentionPilot MCP Server and an AI assistant.

## Weekly visibility report

Ask your assistant for a ready-to-share summary of the past seven days.

> *"Give me a visibility summary for brand ID 42 for the last 7 days."*

The assistant calls `visibility_summary` and returns a natural-language report covering your visibility score, sentiment, average position, top-performing prompts, and the leading competitor — all in one message you can paste directly into Slack or email.

***

## Competitive benchmark

Understand where your brand stands relative to competitors across AI platforms.

> *"Show me the competitor report for brand ID 42. Rank them by visibility."*

The assistant calls `competitor_report` and returns each tracked competitor's visibility, sentiment score, average position, and total responses analyzed — already sorted by visibility, highest first.

***

## Platform deep-dive

Focus on a specific AI platform to see where you win or lose visibility.

> *"How is brand ID 42 performing on ChatGPT only?"*

Pass `ai_agent: ["chatgpt"]` via the `brand_report` tool. The same filter works for `gemini`, `perplexity`, and `aioverview`.

***

## Prompt-level diagnosis

Identify which tracked prompts drive visibility and which need attention.

> *"List all prompts for brand ID 42 and show me the report for each one."*

The assistant first calls `list_prompts` to get IDs, then `prompt_report` for each, and presents a breakdown of visibility, sentiment, and position per question.

***

## Source and PR targeting

Find the domains AI platforms cite most when mentioning your brand.

> *"What sources does AI cite when mentioning brand ID 42?"*

The assistant calls `sources_report` and returns a ranked list of domains by citation count. Use this to identify high-authority content worth building or earning links from.

***

## Date-range comparison

Compare performance across two time windows.

> *"Compare brand ID 42's visibility for March vs April 2025."*

Run `brand_report` twice with different `date` ranges (`from` / `to` in `YYYY-MM-DD` format) and ask the assistant to summarize the delta.

***

## Automated Slack digest (example)

You can integrate the MCP server into an automated workflow:

1. Schedule a daily or weekly trigger (e.g., n8n, Make, Zapier).
2. Call `POST https://mcp.mentionpilot.ai/mcp` with a `tools/call` request for `visibility_summary`.
3. Pass the response text directly to your Slack webhook.

No LLM needed for simple digests — the `visibility_summary` tool already returns a human-readable narrative.