# MarketMuse MCP

> MarketMuse connects your AI agent to advanced content strategy research. Analyze any topic for authority scores and search volume, generate comprehensive content briefs with recommended word counts, or score existing drafts against deep semantic models.

## Overview
- **Category:** marketing-automation
- **Price:** Free
- **Tags:** content-strategy, semantic-seo, topic-authority, content-briefs, search-intent, content-optimization

## Description

Take full command of your writing process using this connector. Instead of spending hours clicking through different SEO tools or manually researching topics in separate tabs, you tell your agent what you need—whether it's identifying high-value content gaps or auditing a site’s current performance. Your AI client connects to the entire MarketMuse catalog, letting you treat complex semantic research like a natural conversation.

Your agent handles everything: retrieving topic authority scores and generating detailed content briefs with specific section recommendations. You can run deep competitive analyses against top-ranking pages or score new drafts instantly to see exactly what's missing semantically. When you subscribe through Vinkius, your agent gets access to this entire suite of tools, making comprehensive SEO research available right where you're working.

## Tools

### analyze_topic
Analyzes a given topic to retrieve its authority score, search volume, and overall content opportunity metrics.

### get_topic_model
Retrieves the full semantic model for a topic, detailing related entities and their importance scores.

### get_content_brief
Generates a detailed content outline including recommended word count targets, heading structures, and key questions to answer.

### competitive_analysis
Runs an analysis comparing your specified URL against the top-ranking search results for a given topic.

### score_content
Evaluates submitted text content and provides a score, flagging missing semantic terms relative to a target topic model.

### get_questions
Retrieves common questions people ask about a specific topic that you should consider answering in your article.

### get_related_topics
Identifies semantically related topics to expand your content pillars and cover adjacent search intent areas.

### get_heatmap
Provides a visual representation of the Search Engine Results Page (SERP) landscape for a topic.

### get_inventory
Inspects your website's existing content inventory, highlighting pages that need optimization or are high-value assets.

### optimize_url
Generates specific recommendations, including term suggestions and word count targets, to boost the organic performance of an existing URL.

## Prompt Examples

**Prompt:** 
```
Analyze the topic 'AI Content Strategy' and show me authority metrics
```

**Response:** 
```
Retrieving metrics for 'AI Content Strategy'… The topic authority score is 45/100 with a Search Volume of 1,200/mo. The difficulty is moderate. Key opportunities identified in 'Semantic SEO' and 'Content Automation'. Would you like a full content brief for this topic?
```

**Prompt:** 
```
Generate a content brief for the topic 'How to use AI in Marketing'
```

**Response:** 
```
Content brief generated! I recommend a word count of 1,500-1,800. Key sections should include 'Generative AI Tools', 'Marketing Personalization', and 'ROI Measurement'. I've also identified 15 must-include semantic terms. Would you like the list of questions people also ask?
```

**Prompt:** 
```
Score this content for the topic 'Semantic SEO': [content text]
```

**Response:** 
```
Analyzing draft… Your current Content Score is 18/100. To improve, you should include terms like 'Knowledge Graph', 'Search Intent', and 'Topic Authority' which are currently missing. The recommended target score for this topic is 35+. Would you like more term suggestions?
```

## Capabilities

### Assess topic authority and volume
Determine if a content idea is viable by retrieving its current search volume, competition difficulty, and overall market authority score.

### Build structured content plans
Generate detailed outlines for articles that include recommended word counts, mandatory subheadings, and key questions the piece must answer to rank well.

### Compare against top competitors
Run a deep dive comparison between your existing URLs and pages currently ranking on Google to pinpoint specific content gaps.

### Grade draft content quality
Submit finished text and instantly receive a score showing how well it covers the necessary semantic topics for better search engine performance.

### Discover related concepts
Find semantically linked topics or key questions people ask about your main topic, expanding your content scope naturally.

## Use Cases

### Developing a new pillar article on 'AI Ethics'
A content strategist uses the MCP to run `analyze_topic` first, confirming authority. They then use `get_content_brief`, which specifies 2,000 words and required sections like 'Bias Mitigation' and 'Regulatory Impact'. The agent provides a clear roadmap for writing.

### Updating an old blog post that lost traffic
A marketing manager passes the URL to `competitive_analysis` and sees top competitors are covering 'Implementation Challenges.' They then use `optimize_url`, which suggests adding a section on 'Practical Use Cases' and boosting word count.

### Auditing an entire site for SEO decay
An SEO specialist uses `get_inventory` to pull a list of 50 older articles. They then use the `score_content` tool on batches of those articles, quickly identifying which ones are semantically weak and need urgent updates.

### Planning content around niche search intent
A technical writer needs to understand what people *actually* ask about a topic. They run `get_related_topics` first, then use `get_questions` to build out an FAQ section that perfectly matches user queries.

## Benefits

- Stop guessing what users want. Use `get_questions` and `get_related_topics` to ensure your content covers every angle of a topic, not just the obvious ones.
- Know exactly where your site stands against rivals. The `competitive_analysis` tool lets you directly compare your URLs to top-ranking SERP pages to find concrete gaps.
- Never start from scratch again. Use `get_content_brief` to get a full, structured plan—including word counts and required headings—so you only have to write the content, not structure it.
- Instant quality control. After writing a draft, run it through `score_content`. It tells you which semantic terms are missing so you can fix the piece before publishing.
- Maximize existing assets. With `get_inventory`, you can audit your site's entire body of work to find pages that need an optimization boost using `optimize_url`.

## How It Works

The bottom line is: you move from broad strategy to specific, actionable content points without leaving your chat interface.

1. First, subscribe to this MCP and input your MarketMuse API Key into Vinkius.
2. Next, prompt your AI client with a strategic goal; for example, 'Analyze the topic X' or 'Give me a content brief on Y'.
3. Your agent executes the request, retrieving authority scores, generating outlines, or providing optimization suggestions directly in your workspace.

## Frequently Asked Questions

**How does MarketMuse analyze topic using `analyze_topic`?**
The `analyze_topic` tool assesses a given subject by providing an overall topic authority score, estimated search volume, and difficulty metrics. This helps you quickly determine if the idea is worth pursuing.

**What is the difference between `get_content_brief` and `get_topic_model`?**
`get_topic_model` gives you the raw semantic data—the entities and importance scores. In contrast, `get_content_brief` takes that complexity and turns it into a ready-to-write outline with word counts and headings.

**Can I use MarketMuse to check my old content? Use the `get_inventory` tool.**
Yes, `get_inventory` inspects your domain's entire published set of pages. It lets you identify which indexed articles have high authority and which ones desperately need an optimization push.

**How do I improve a low-scoring draft with the `score_content` tool?**
After running `score_content`, the agent points out specific missing terms (like 'Search Intent'). You then ask for more suggestions, or use `get_questions` to find natural ways to integrate those required concepts.

**What is the best way to identify content gaps using MarketMuse?**
Use the `competitive_analysis` tool. By feeding it your URL and a target topic, you get a direct comparison showing what top competitors cover that you are missing.