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

# Use Cases

> Real prompts and workflows for the Octolens MCP server. Turn brand mentions into weekly briefs, lead lists, support triage, and competitive intelligence.

#### 1. Custom analytics and graphs

**Prompt:** "Using Octolens, calculate the share of voice for BRAND vs. COMPETITOR1, and COMPETITOR2, over the last 90 days. Return a share of voice graph (pie chart) with brand, total mentions, and percentage share of total mentions."

**What this does:**

* Checks all your brand and competitor mentions from the last 90 days
* Creates a custom graph

For heavier analytics and graph generation, use a stronger reasoning model rather than a lightweight chat model.

<Frame>
  <img src="https://mintcdn.com/octolens/8iRWFpJ7a8eizFVd/images/mcp-share-of-voice.png?fit=max&auto=format&n=8iRWFpJ7a8eizFVd&q=85&s=446dae82a3ccd1fccc7d83146bed27f1" alt="Share of voice graph example" width="456" height="504" data-path="images/mcp-share-of-voice.png" />
</Frame>

#### 2. Weekly Reputation Monitoring

**Prompt:** "Show me all mentions from the last 7 days, grouped by sentiment. Highlight any negative mentions that need immediate response."

**What this does:**

* Pulls mentions from your tracked keywords
* Uses AI to analyze sentiment
* Surfaces urgent issues

**Best for:** Weekly stand-ups, team reviews

***

#### 3. Competitive Intelligence

**Prompt:** "Compare how people talk about \[Your Brand] vs \[Competitor] on Reddit this month. What are the key differentiators?"

**What this does:**

* Analyzes language patterns
* Identifies positioning gaps
* Surfaces competitive advantages

**Best for:** Product marketing, positioning strategy

***

#### 4. Product Feedback Analysis

**Prompt:** "Extract all feature requests mentioned on any platform in the last month. Group by frequency and urgency."

**What this does:**

* Consolidates feedback across platforms
* Prioritizes by volume
* Identifies patterns

**Best for:** Product teams, roadmap planning

***

#### 5. Support Issue Detection

**Prompt:** "Alert me to any mentions containing words like 'bug', 'error', 'not working', or 'broken' in the last 24 hours."

**What this does:**

* Real-time issue detection
* Proactive support outreach
* Reduces escalation risk

**Best for:** Support teams, DevOps

***

#### 6. Campaign performance

**Prompt:** "Show me all mentions during our product launch week (Feb 1-7). How did sentiment change day by day?"

**What this does:**

* Tracks launch momentum
* Measures campaign impact
* Identifies amplification opportunities

**Best for:** Marketing teams, launch retrospectives

***

### Prompting Tips

**Be specific about time ranges:**

* "Last 7 days" is better than "recently"
* "January 2026" is better than "this month"

**Specify platforms when relevant:**

* "Reddit and Hacker News" vs. "all platforms"
* Helps AI focus on the most relevant data

**Ask for structured outputs:**

* "Group by sentiment"
* "Summarize in bullet points"