How to Build a GEO + SEO Marketing Agent in Claude Desktop with MCP Servers

What is a GEO + SEO marketing agent?

A GEO + SEO marketing agent is Claude Desktop configured with multiple MCP (Model Context Protocol) servers that together give it access to real-time SEO data, AI search visibility metrics, web scraping capabilities, and file system access. Instead of switching between five different tools, you ask Claude questions in natural language and it pulls data from all of them simultaneously.

GEO (Generative Engine Optimization) focuses on how your brand appears in AI-generated responses from ChatGPT, Gemini, Perplexity, and other LLMs. SEO (Search Engine Optimization) focuses on traditional search rankings in Google, Bing, and other search engines. By combining both, you get a complete picture of your brand’s discoverability across all search surfaces.

Here is what the setup looks like once configured:

┌─────────────────────────────────────────────────┐
│                 Claude Desktop                   │
│                                                  │
│  "Show me my brand visibility trends and         │
│   compare them to my Google ranking changes"     │
│                                                  │
└────────┬──────────┬──────────┬──────────┬───────┘
         │          │          │          │
    ┌────▼────┐ ┌───▼───┐ ┌───▼───┐ ┌───▼────┐
    │Superlines│ │DataFor│ │ Bright│ │  File  │
    │  MCP     │ │SEO MCP│ │ Data  │ │ System │
    │          │ │       │ │  MCP  │ │  MCP   │
    │ AI search│ │ SERP  │ │  Web  │ │ Save   │
    │ visibility│ │keywords│ │scrape │ │reports │
    │ citations│ │backlink│ │search │ │locally │
    │ sentiment│ │on-page │ │Reddit │ │        │
    └──────────┘ └───────┘ └───────┘ └────────┘

What you can do with this setup

Once all MCP servers are connected, you can ask Claude to:

Analyze AI search visibility — “What is my brand visibility across ChatGPT, Gemini, and Perplexity this month?”
Research keywords — “Find keyword opportunities for ‘AI search optimization’ with search volume and difficulty”
Audit web pages — “Audit my homepage for both traditional SEO health and AI search readiness”
Track competitors — “Which competitors are winning AI citations for my tracked queries?”
Generate reports — “Create a weekly marketing report comparing my SEO rankings and AI search visibility”
Plan content strategy — “Find content gaps where I have low AI visibility but high search volume”
Scrape competitor content — “Analyze the top 3 competitor pages that are winning citations”
Monitor sentiment — “How do AI platforms describe my brand compared to competitors?”

Prerequisites

You need accounts for these services. Not all are required — you can start with just one or two MCP servers and add more over time.

Service	Purpose	Free tier	Sign up
Claude Desktop	AI assistant with MCP support	Claude Pro ($20/mo)	claude.ai
Superlines	AI search visibility, GEO analytics, citations, sentiment	Starter plan (€89/mo)	superlines.io
DataForSEO	SERP data, keywords, backlinks, on-page SEO	Pay-as-you-go (from $0.01/request)	dataforseo.com
Bright Data	Web scraping, SERP scraping, Reddit, social media	Free tier (1,000 requests/mo)	brightdata.com
Node.js	Required for npx-based MCP servers	Free	nodejs.org

Step 1: Install Claude Desktop

If you have not already, download and install Claude Desktop for macOS or Windows. MCP servers are not available in the web version of Claude.

After installation, verify that you can open the settings menu. On macOS: Claude > Settings > Developer. You should see an “Edit Config” button that opens the MCP configuration file.

Step 2: Configure MCP servers

Claude Desktop uses a JSON configuration file to connect to MCP servers. Open it by going to Settings > Developer > Edit Config, which opens:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

Below is the complete configuration that connects all four MCP servers. You can include only the servers you have accounts for — Claude Desktop will simply skip any server that fails to connect.

{
  "mcpServers": {
    "superlines": {
      "url": "https://mcpsse.superlines.io?token=YOUR_SUPERLINES_API_KEY",
      "transport": "sse"
    },
    "dataforseo": {
      "command": "npx",
      "args": ["-y", "dataforseo-mcp-server"],
      "env": {
        "DATAFORSEO_USERNAME": "YOUR_DATAFORSEO_LOGIN",
        "DATAFORSEO_PASSWORD": "YOUR_DATAFORSEO_PASSWORD"
      }
    },
    "brightdata": {
      "url": "https://mcp.brightdata.com/sse?token=YOUR_BRIGHTDATA_API_TOKEN",
      "transport": "sse"
    },
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/Users/YOUR_USERNAME/Documents/marketing-reports"
      ]
    }
  }
}

Replace the placeholder values with your actual credentials:

YOUR_SUPERLINES_API_KEY — From Superlines Organization Settings > API Keys. Starts with sl_live_.
YOUR_DATAFORSEO_LOGIN and YOUR_DATAFORSEO_PASSWORD — From DataForSEO API Access. These are your API credentials, not your dashboard login.
YOUR_BRIGHTDATA_API_TOKEN — From Bright Data account settings.
/Users/YOUR_USERNAME/Documents/marketing-reports — A local directory where Claude can save reports and files.

Save the file and restart Claude Desktop completely (quit and reopen, not just close the window).

Step 3: Verify the connections

After restarting, start a new conversation in Claude Desktop. You should see a small tools icon (hammer) in the input area, indicating that MCP tools are loaded.

Test each server with these prompts:

Superlines:

List my Superlines brands

DataForSEO:

Get the top 10 organic search results for "AI search optimization"

Bright Data:

Search Google for "generative engine optimization best practices 2026"

Filesystem:

List the files in my marketing-reports directory

If any server fails, check the troubleshooting section at the end of this guide.

What each MCP server does

Superlines MCP — AI search visibility and GEO analytics

Superlines is the core of the GEO side of your agent. It provides 32 specialized tools for monitoring how your brand appears in AI-generated responses across ChatGPT, Gemini, Perplexity, Claude, Copilot, and Grok.

Key tools:

Tool	What it does
`list_brands`	List all tracked brands in your account
`analyze_metrics`	Brand visibility, citation rate, share of voice, mentions
`get_weekly_performance`	Week-over-week trends for all core metrics
`get_competitive_gap`	Prompts where competitors outperform you
`find_content_opportunities`	High-volume topics with low brand visibility
`get_citation_data`	Which domains and URLs are cited in AI responses
`analyze_sentiment`	Positive/neutral/negative breakdown of AI mentions
`webpage_audit`	Full LLM-friendliness audit of any webpage
`schema_optimizer`	Optimize Schema.org markup for AI discoverability
`generate_strategic_action_plan`	Priority-ranked action plan with improvement scores
`get_next_actions`	Top 3 most impactful actions to take right now
`keyword_research`	Search volume, keyword difficulty, CPC, and related keywords

Setup details: The Superlines MCP server connects via SSE (Server-Sent Events), so there is nothing to install locally. Your API key authenticates the connection. You need a Starter plan or above. See the full setup guide and tools reference.

DataForSEO MCP — Traditional SEO data

DataForSEO provides deep SEO data through APIs that cover SERPs, keywords, backlinks, on-page analysis, and more. Their MCP server exposes these APIs as tools that Claude can call directly.

Key tools:

Tool	What it does
`serp_google_organic`	Google organic search results for any keyword
`keywords_google_ads_search_volume`	Search volume, CPC, competition for keywords
`keywords_google_ads_keywords_for_site`	Keywords a specific domain ranks for
`backlinks_summary`	Backlink profile overview for any domain
`onpage_summary`	On-page SEO health check for any URL
`dataforseo_labs_ranked_keywords`	Keywords a domain ranks for with positions
`dataforseo_labs_competitors_domain`	Domains competing for the same keywords
`dataforseo_labs_keyword_suggestions`	Related keyword suggestions with metrics
`content_analysis_summary`	Content analysis for any topic across the web

Setup details: DataForSEO MCP runs locally via npx and authenticates with your API login and password (not your dashboard credentials). You can also connect via HTTP at https://mcp.dataforseo.com/mcp for clients that support it. See the DataForSEO MCP setup guide.

Bright Data MCP — Web scraping and real-time research

Bright Data gives Claude the ability to access and scrape any webpage on the internet, bypassing bot detection and CAPTCHAs. This is essential for competitive research, fact-checking, and gathering fresh information.

Key tools:

Tool	What it does
`scrape_as_markdown`	Scrape any single URL and return content as markdown
`scrape_batch`	Scrape multiple URLs simultaneously (up to 5)
`search_engine`	Search Google, Bing, or Yandex and return results
`search_engine_batch`	Run multiple search queries simultaneously

Setup details: Bright Data MCP connects via SSE with your API token. No local installation needed. The free tier includes enough requests for regular marketing research. See Bright Data MCP documentation.

Filesystem MCP — Save reports and files locally

The Filesystem MCP server is an official reference server from the MCP protocol that gives Claude read and write access to a specific directory on your computer. This is what lets Claude save reports, export data as CSV, and create strategy documents.

Key tools:

Tool	What it does
`read_file`	Read a file from the allowed directory
`write_file`	Write or create a file in the allowed directory
`list_directory`	List files in the allowed directory
`search_files`	Search for files matching a pattern

Setup details: This server runs locally via npx. You specify which directory Claude can access as a command-line argument. It cannot read or write outside that directory.

Practical workflows

Now that everything is connected, here are concrete workflows you can run. Each one is a prompt or series of prompts you paste into Claude Desktop.

1. Weekly marketing performance report

This combines AI search data from Superlines with traditional SEO data from DataForSEO to create a comprehensive weekly report.

Create a weekly marketing performance report for my brand. Do the following:

1. Use Superlines to get my brand visibility, citation rate, and share of voice 
   for the last 4 weeks (weekly granularity)
2. Use Superlines to find my top performing prompts and biggest competitive gaps
3. Use Superlines to analyze sentiment across AI platforms
4. Use DataForSEO to check my domain's current organic keyword rankings 
   for my top 10 keywords
5. Use DataForSEO to get a backlink summary for my domain

Compile everything into a structured markdown report with:
- Executive summary (3 bullet points)
- AI Search Performance section (visibility, citations, sentiment trends)
- Traditional SEO Performance section (rankings, backlinks)
- Competitive Landscape (who is gaining/losing)
- Top 3 recommended actions for next week

Save the report as a markdown file named "weekly-report-YYYY-MM-DD.md".

2. Content gap analysis

Find topics where you are missing from both AI responses and search results.

Run a content gap analysis for my brand:

1. Use Superlines to find content opportunities where I have low AI visibility 
   but high query volume
2. Use Superlines to identify the top 5 queries where competitors are winning 
   AI citations instead of me
3. For each gap topic, use DataForSEO to check the keyword search volume, 
   difficulty, and current top-ranking pages
4. Use Bright Data to scrape the top 2 competitor pages that are winning 
   for each topic
5. Analyze what makes the competitor content effective

Output a prioritized list of content pieces to create, with:
- Target keyword and search volume
- Current AI visibility score
- Competitor analysis summary
- Recommended content angle and structure
- Estimated impact (high/medium/low)

3. Webpage audit (SEO + GEO combined)

Audit a single page for both traditional SEO health and AI search readiness.

Run a combined SEO + GEO audit on this page: https://example.com/your-page

1. Use Superlines webpage_audit for a full LLM-friendliness analysis 
   (content quality, schema markup, heading structure, citations, tone)
2. Use Superlines schema_optimizer to check and improve the Schema.org markup
3. Use DataForSEO onpage API to check technical SEO 
   (meta tags, load speed, mobile friendliness, canonical tags)
4. Use DataForSEO to find what keywords this page currently ranks for
5. Use Bright Data to scrape the page and verify the content matches 
   what search engines see

Create a combined audit report with:
- GEO Score and key findings
- SEO Technical Score and issues
- Schema.org recommendations with code snippets
- Content improvements for AI discoverability
- Priority fixes ranked by impact

4. Competitor intelligence briefing

Deep analysis of a specific competitor across both SEO and AI search.

Create a competitor intelligence briefing for [competitor domain]:

1. Use Superlines to analyze brand mentions for this competitor - 
   how often are they mentioned in AI responses vs. my brand?
2. Use Superlines get_competitive_gap to find prompts where they beat me
3. Use Superlines get_citation_data to see which of their URLs get the 
   most AI citations
4. Use DataForSEO to analyze their organic keyword rankings and backlink profile
5. Use DataForSEO labs to find keywords they rank for that I do not
6. Use Bright Data to scrape their top 3 cited pages and analyze the 
   content structure

Produce a briefing with:
- Competitor overview (domain authority, estimated traffic, AI visibility)
- Their strengths vs. mine (both SEO and GEO)
- Content strategy patterns (what topics, formats, and structures they use)
- Specific pages to compete against
- Recommended counter-strategy

5. AI search optimization recommendations

Get actionable recommendations for improving your AI search presence.

Generate an AI search optimization plan for my brand:

1. Use Superlines generate_strategic_action_plan to get priority-ranked 
   recommendations
2. Use Superlines get_next_actions for the top 3 immediate actions
3. Use Superlines analyze_metrics grouped by llm_service to see which 
   AI platforms I perform best/worst on
4. Use Superlines find_content_opportunities for content ideas
5. For the top recommendation, use Bright Data to research what kind 
   of content currently wins AI citations for that topic
6. Use DataForSEO to check the keyword opportunity for each 
   recommended content piece

Create an action plan with:
- Quick wins (can implement this week)
- Medium-term improvements (this month)
- Strategic initiatives (this quarter)
- For each action: expected impact, effort level, and specific steps

6. Trend research and content ideas

Use web scraping and search to find trending topics in your industry.

Research trending topics in [your industry] for content creation:

1. Use Bright Data to search Google for "[your industry] trends 2026"
2. Use Bright Data to search for "site:reddit.com [your industry] 
   AI search optimization discussion"
3. Scrape the top 3 most relevant results and extract key themes
4. Use Superlines get_query_data to see what queries are being tracked 
   and their volume
5. Use DataForSEO to check search volume for the trending topics found
6. Cross-reference with Superlines find_content_opportunities to see 
   which topics have the biggest AI visibility gap

Output:
- Top 10 trending topics with search volume
- Reddit community insights and common questions
- Content opportunities ranked by potential impact
- Suggested article titles and outlines for the top 3 topics

Optional: Add more MCP servers

The four-server setup above covers most marketing needs. Here are additional MCP servers you can add for specialized tasks:

Google Analytics / Search Console

For direct access to your own website analytics:

Searchkit MCP — Google Search Console data (clicks, impressions, CTR, position)
GA4 MCP servers — Google Analytics 4 data (sessions, conversions, user behavior)

Content and CMS

For reading and writing content directly to your CMS:

WordPress MCP — Create and manage WordPress posts
Notion MCP — Read and write Notion pages and databases

Ahrefs

Ahrefs also has an official MCP server if you prefer it to DataForSEO for backlink analysis:

Ahrefs MCP — Backlink data, keyword research, site audit

Slack

For sending reports and alerts to your team:

Slack MCP — Post messages and files to Slack channels

To add any of these, simply add a new entry to the mcpServers object in your claude_desktop_config.json and restart Claude Desktop.

Tips for effective prompting

Getting the best results from a multi-MCP setup requires some prompting technique:

Be explicit about which tools to use

Claude does not always know which MCP server has the right tool for a task. When you need data from a specific source, name it:

Use Superlines to get my brand visibility

is better than:

Get my brand visibility

Always specify your brand name for Superlines

Superlines tools return data for all brands by default. Always include your brand name:

Use Superlines to analyze metrics for "YourBrand" over the last 30 days

Chain analyses across servers

The real power comes from combining data across servers. Ask Claude to use output from one server as input for another:

Use Superlines to find my top content gaps, then use DataForSEO to get 
search volume for each gap keyword, then use Bright Data to scrape the 
top-ranking pages for those keywords.

Save outputs for later

Use the Filesystem MCP to create persistent artifacts:

Save this analysis as a CSV file so I can share it with my team

Start conversations with context

Begin each session by telling Claude what you are working on:

I'm the marketing lead for [brand]. Our website is [domain]. 
I want to improve our AI search visibility while maintaining 
our SEO rankings. Let's start with a performance overview.

Troubleshooting

MCP server not connecting

Symptom	Solution
No tools icon in Claude Desktop	Restart Claude Desktop completely (quit, not just close)
“Tool not found” error	Check that the server name in your config matches exactly
”Authentication failed” for Superlines	Verify your API key starts with `sl_live_`
”Authentication failed” for DataForSEO	Use your API credentials, not dashboard login
npx server fails to start	Update Node.js to the latest LTS version
SSE connection timeout	Check your internet connection; try again

Common errors

“No data returned” from Superlines — Make sure you have at least one brand with tracked prompts set up in your Superlines account.

DataForSEO “insufficient balance” — DataForSEO is pay-as-you-go. Add funds to your account at app.dataforseo.com.

Bright Data requests failing — Check that your API token has the correct permissions. The free tier has rate limits that may trigger during batch operations.

Claude hits context limit — When combining data from multiple MCP servers in one conversation, responses can get very long. Start a new conversation for each major analysis, or ask Claude to summarize before continuing.

Cost overview

Running this setup daily for marketing analysis:

Service	Estimated monthly cost	Notes
Claude Pro	$20/month	Required for MCP support
Superlines Starter	$49/month	32 AI search analytics tools
DataForSEO	$5-50/month	Pay-per-request, depends on usage
Bright Data	$0-10/month	Free tier covers light research
Filesystem MCP	Free	Runs locally, no account needed
Total	$74-129/month	Replaces multiple standalone tools

This replaces the need for separate subscriptions to multiple SEO tools, AI search monitoring platforms, and web scraping services — which can easily exceed $500/month when purchased individually.

How to Build a GEO + SEO Marketing Agent in Claude Desktop with MCP Servers

What is a GEO + SEO marketing agent?

What you can do with this setup

Prerequisites

Step 1: Install Claude Desktop

Step 2: Configure MCP servers

Step 3: Verify the connections

What each MCP server does

Superlines MCP — AI search visibility and GEO analytics

DataForSEO MCP — Traditional SEO data

Bright Data MCP — Web scraping and real-time research

Filesystem MCP — Save reports and files locally

Practical workflows

1. Weekly marketing performance report

2. Content gap analysis

3. Webpage audit (SEO + GEO combined)

4. Competitor intelligence briefing

5. AI search optimization recommendations

6. Trend research and content ideas

Optional: Add more MCP servers

Google Analytics / Search Console

Content and CMS

Ahrefs

Slack

Tips for effective prompting

Be explicit about which tools to use

Always specify your brand name for Superlines

Chain analyses across servers

Save outputs for later

Start conversations with context

Troubleshooting

MCP server not connecting

Common errors

Cost overview

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