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

# Slash commands

> Five pre-built workflows you run from Claude's slash menu to get visibility reports, competitor analysis, and content recommendations in one response.

Slash commands are pre-built workflows that orchestrate multiple Erlin tools and deliver a formatted report in a single response. Type `/` in Claude Desktop, pick a command, and get results without chaining tool calls yourself.

<Note>
  Slash commands require a paid Erlin plan. They depend on collections, dashboards, and competitor data that are not available on the free tier.
</Note>

## How to use a slash command

Type `/` in the Claude input field. Select a command from the menu. Most commands work with zero arguments: Erlin defaults to your primary website and default collection. If you track multiple websites or collections, pass the one you want as an argument.

Slash commands appear in the `/` menu alongside commands from other connectors you have installed.

## Weekly visibility check-in

`/erlin_weekly_visibility` returns a 7-day summary of your Visibility Score, citation rate, share of voice, and average position, plus a competitor leaderboard showing the top 10 brands mentioned alongside yours.

**Arguments:**

| Argument          | Required | Default                 |
| ----------------- | -------- | ----------------------- |
| `website_url`     | No       | Your primary website    |
| `collection_name` | No       | Your default collection |

**Example:**

```
/erlin_weekly_visibility
```

Erlin resolves your website, finds the default collection, and returns a dashboard summary (last 7 days) with the top 10 competitors ranked by share of voice.

If you track multiple websites, specify which one:

```
/erlin_weekly_visibility website_url="mokobara.com"
```

## Competitor deep dive

`/erlin_competitor_deep_dive` produces a full competitive landscape review. You get a ranked table of the top 20 competitors by share of voice, with already-favorited ones starred. After the table, Claude suggests which non-favorited competitors you might want to start tracking and offers to add them for you.

**Arguments:**

| Argument          | Required | Default                 |
| ----------------- | -------- | ----------------------- |
| `website_url`     | No       | Your primary website    |
| `collection_name` | No       | Your default collection |
| `days`            | No       | 30                      |

**Example:**

```
/erlin_competitor_deep_dive
```

Erlin returns a 20-row competitor leaderboard with share of voice, Visibility Score, and position. Starred rows are already favorited. A "Track these competitors?" section suggests which ones to add, with a follow-up prompt to favorite them.

To change the time window:

```
/erlin_competitor_deep_dive days=14
```

## Content opportunities

`/erlin_content_opportunities` surfaces the highest-impact pages to fix this week by cross-referencing three signals: content decay, optimization recommendations, and GSC search performance.

You get a prioritized table of pages ranked by combined signal strength. Each row shows the page URL, a tier (Critical, High, or Medium), the decay signal, the recommended action, GSC impressions, and a "Why now" reason pulled from the data.

**Arguments:**

| Argument      | Required | Default              |
| ------------- | -------- | -------------------- |
| `website_url` | No       | Your primary website |
| `limit`       | No       | 10                   |

**Example:**

```
/erlin_content_opportunities
```

Erlin fetches content decay data, optimization recommendations, and GSC search performance in parallel. It correlates pages across all three sources and surfaces the ones where signals overlap: a page that is decaying, has a recommendation, and has high impressions is a Critical tier opportunity.

The GSC date range is stated at the top of the output so you know how current the data is.

**Tier logic:**

| Tier     | Criteria                                                                    |
| -------- | --------------------------------------------------------------------------- |
| Critical | Decaying + top-quartile GSC impressions + has a recommendation              |
| High     | Decaying + has a recommendation, or top-quartile GSC + has a recommendation |
| Medium   | Has a recommendation only                                                   |

## Search performance review

`/erlin_search_performance` turns your Search Console data into a two-section report. Optionally refreshes GSC data before reading.

You get: organic search performance (top pages by clicks, branded vs non-branded split) and coverage health (index status breakdown with flags for crawling issues).

**Arguments:**

| Argument      | Required | Default              |
| ------------- | -------- | -------------------- |
| `website_url` | No       | Your primary website |
| `days`        | No       | 28                   |
| `sync_first`  | No       | false (boolean)      |

**Example:**

```
/erlin_search_performance
```

To refresh GSC data before the report (recommended weekly):

```
/erlin_search_performance sync_first=true
```

When `sync_first` is true, Erlin syncs your GSC data in the background and waits for completion before reading. If the sync takes longer than five minutes, it proceeds with the most recent available data.

## Fan-out audit

`/erlin_fanout_audit` is a sub-query gap analysis that reveals which competitors win each variation of a topic in AI search. This is the most involved slash command: it generates prompts, runs live visibility checks, and reports positioning gaps.

Erlin generates 8 to 12 sub-queries spanning different intent types (comparison, how-to, edge cases, definitional), asks you to confirm the list, creates them as tracked prompts, runs visibility checks across ChatGPT, Gemini, and Perplexity, then presents a table showing your position vs competitors on each sub-query.

**Arguments:**

| Argument          | Required | Default                 |
| ----------------- | -------- | ----------------------- |
| `head_topic`      | **Yes**  | You must provide this   |
| `website_url`     | No       | Your primary website    |
| `collection_name` | No       | Your default collection |

**Example:**

```
/erlin_fanout_audit head_topic="best CRM for startups"
```

Erlin generates sub-queries like "best CRM for startups vs HubSpot," "how to choose a CRM for startups," "CRM pricing for startups," and others. After you confirm the list, it creates the prompts, runs checks, and delivers a table:

| Sub-query                | Your Position | Top Cited Competitors | Gap? |
| ------------------------ | ------------- | --------------------- | ---- |
| best CRM for startups    | 3rd           | Salesforce, HubSpot   | No   |
| CRM pricing for startups | Not cited     | HubSpot, Zoho         | Yes  |

After the table, Erlin summarizes how many sub-queries you win vs how many are gaps, and suggests content actions to close them.

<Warning>
  This command creates new tracked prompts in your collection and runs live visibility checks. Both consume credits. The prompts remain tracked on future scans.
</Warning>

## Related

<CardGroup cols={2}>
  <Card title="Introduction" icon="book-open" href="/mcp/introduction">
    What the Erlin MCP server does and how to ask questions.
  </Card>

  <Card title="Credits and limits" icon="credit-card" href="/mcp/credits-and-limits">
    Which commands use credits and rate limit details.
  </Card>
</CardGroup>