Audit pasted HTML for AI-search readiness, schema gaps, and GEO fixes.
GEO Visibility Audit MCP helps marketers, SEO freelancers, founders, and content teams audit pasted page HTML for AI-search readiness. It checks entity clarity, answer-readiness, question-style headings, schema gaps, comparison coverage, third-party trust signals, buyer prompt ideas, and prioritized GEO fixes. It is built for teams seeing stable SEO rankings but unclear AI Overview, ChatGPT, Perplexity, Gemini, or Claude visibility. This is a transparent readiness audit, not a live AI ranking tracker and not a guarantee of citations, rankings, traffic, or revenue.
This is a well-structured marketing audit MCP server with no authentication requirements, which is appropriate for its stateless analysis purpose. The code performs HTML parsing and audit logic without external API calls, network exfiltration, or dangerous patterns. Minor code quality observations (broad exception handling, lack of input size validation) are present but do not create security vulnerabilities. Permissions align with the server's purpose of local HTML analysis. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
5 files analyzed · 8 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Add this to your MCP configuration file:
{
"mcpServers": {
"geo-visibility-audit-mcp": {
"args": [
"-y",
"geo-visibility-audit-mcp"
],
"command": "npx"
}
}
}Once installed, try these example prompts and explore these capabilities:
From the project's GitHub README.
Audit pasted HTML for GEO, AI-search visibility, entity clarity, answer readiness, schema gaps, prompt coverage, and third-party trust signals.
This server is useful for marketers, SEO freelancers, SaaS founders, and content teams preparing pages for ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, and other AI-assisted discovery flows.
It is built for teams seeing the new SEO pattern: rankings may still look healthy, but AI Overviews, answer engines, and zero-click search make visibility harder to explain. The server returns practical page-level fixes instead of a black-box score.
audit_geo_html: audit one pasted HTML page.summarize_geo_audits: summarize multiple GEO audit results.npx -y github:xiaopeng215-sys/geo-visibility-audit-mcp
git clone https://github.com/xiaopeng215-sys/geo-visibility-audit-mcp.git
cd geo-visibility-audit-mcp
npm install
npm start
{
"html": "<html><head><title>Acme CRM for Agencies</title></head><body><h1>Acme CRM</h1><p>Acme CRM is a CRM for small agencies...</p></body></html>",
"url": "https://example.com/",
"brandName": "Acme CRM",
"category": "CRM for small agencies",
"competitors": ["HubSpot", "Pipedrive"],
"buyerPrompts": ["best CRM for small marketing agencies"],
"targetAudience": "small marketing agencies"
}
The audit returns:
For URL fetching, batch audits, and marketplace billing, use the hosted Apify Actor:
https://apify.com/jumpy_invoice/geo-visibility-audit-intelligence
This repo also includes ready-to-import n8n workflows:
workflows/weekly-geo-visibility-audit.n8n.jsonworkflows/support-triage-weekly-review.n8n.jsonUse the GEO workflow to run weekly GEO readiness audits through the hosted Apify Actor and prepare a compact fix report for Slack, email, Notion, Airtable, Google Sheets, or a client update.
Use the support triage workflow to analyze support tickets through the hosted Support Triage Intelligence Actor and prepare a human review queue with urgent escalations, reply drafts, FAQ candidates, and next actions.
MIT
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