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MCP Server

Growthr SEO + GEO MCP

com.growthr/seo-geo-mcp
Marketing & Advertising Public & reachable MCP 2026-07-28

What this MCP does

Scans websites for SEO and AI-crawler readability, prioritizes fixes, drafts llms.txt files and measures brand visibility in AI answers.

Capabilities

Tools

4 tools
growthr_ai_visibility
Check whether an AI answer names a brand
Run one buyer-shaped prompt through Gemini with Google Search grounding (a real, cited web search, the same mechanism behind Google AI Overviews) and report where the brand lands on the five-rung ladder: absent, cited (a page of the brand's site is a source), mentioned (named in the text), recommended (on the shortlist), or recommended against. Also returns the other names on the shortlist and the source domains the answer was built from. One prompt per call; limited to a few calls per day per user because grounded requests are billed per query.
Read only Open world Idempotent
Input schema 
{'type': 'object', 'required': ['prompt', 'brand'], 'properties': {'brand': {'type': 'string', 'description': "Brand name to look for, e.g. 'Growthr'"}, 'domain': {'type': 'string', 'description': 'Optional brand domain, e.g. growthr.com, to detect citations'}, 'prompt': {'type': 'string', 'description': "The question a buyer would ask, e.g. 'best corporate event photographer in New York'"}}}
Output schema 
{'type': 'object', 'required': ['rung', 'shortlist', 'sources', 'engine'], 'properties': {'rung': {'enum': ['absent', 'cited', 'mentioned', 'recommended', 'recommended against'], 'type': 'string'}, 'cited': {'type': 'boolean'}, 'engine': {'type': 'string'}, 'against': {'type': 'boolean'}, 'sources': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Source domains the answer was built from'}, 'mentioned': {'type': 'boolean'}, 'shortlist': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Providers the answer put forward'}, 'recommended': {'type': 'boolean'}, 'shortlistSource': {'enum': ['llm', 'heuristic'], 'type': 'string'}}}
growthr_fix_order
Order a site's fixes by effort
Run the scan and sort every failed check into buckets: blockers (fix before anything else, they hide everything downstream), this afternoon (metadata, llms.txt, trust pages, on-page), needs a sprint (schema, markdown negotiation, speed), and the off-site work no scan can measure (reviews, directories, third-party mentions), which is what decides whether AI engines recommend a business.
Read only Open world Idempotent
Input schema 
{'type': 'object', 'required': ['domain'], 'properties': {'domain': {'type': 'string', 'description': 'Public domain, e.g. example.com'}}}
Output schema 
{'type': 'object', 'required': ['domain', 'score', 'blockers', 'afternoon', 'sprint'], 'properties': {'other': {'type': 'array', 'items': {'type': 'string'}}, 'score': {'type': 'integer'}, 'domain': {'type': 'string'}, 'sprint': {'type': 'array', 'items': {'type': 'string'}}, 'blockers': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Check ids to fix before anything else'}, 'afternoon': {'type': 'array', 'items': {'type': 'string'}}}}
growthr_llms_txt
Draft an llms.txt for a site
Read a site's homepage, sitemap (or homepage links), and up to twelve pages, then draft an llms.txt in the llmstxt.org format: H1 name, blockquote summary, grouped page list with one-line descriptions, contact, profiles, links. The 'When to use' section is left as a marked placeholder on purpose; it is a judgment about the business that no crawler can write. Returns the draft plus notes on anything skipped.
Read only Open world Idempotent
Input schema 
{'type': 'object', 'required': ['domain'], 'properties': {'domain': {'type': 'string', 'description': 'Public domain, e.g. example.com'}}}
Output schema 
{'type': 'object', 'required': ['domain', 'llmsTxt'], 'properties': {'notes': {'type': 'array', 'items': {'type': 'string'}}, 'pages': {'type': 'integer', 'description': 'Pages read'}, 'domain': {'type': 'string'}, 'llmsTxt': {'type': 'string', 'description': 'The draft, llmstxt.org format'}}}
growthr_scan
Scan a site for SEO and AI readability
Fetch a public domain the way search engines and AI crawlers do (ChatGPT's GPTBot, Claude's ClaudeBot, and the fetchers behind Perplexity and Google AI Overviews: from a datacenter IP, no JavaScript) and run 22 weighted checks: reachability as a browser, GPTBot, and ClaudeBot; server-rendered content; metadata; strict JSON-LD and Organization schema; robots.txt access for AI crawlers; llms.txt and an in-page link to it; sitemap; honest 404s; markdown negotiation; trust pages; speed; and on-page SEO (title, description, single h1, viewport, alt text, favicon). Returns a 0-100 score and every check with pass/fail, what was found, and a fix hint. Reads about a dozen public URLs once. Growthr logs the domain and tool name for usage stats.
Read only Open world Idempotent
Input schema 
{'type': 'object', 'required': ['domain'], 'properties': {'domain': {'type': 'string', 'description': 'Public domain, e.g. example.com (no path)'}}}
Output schema 
{'type': 'object', 'required': ['domain', 'score', 'checks'], 'properties': {'score': {'type': 'integer', 'description': '0-100'}, 'checks': {'type': 'array', 'items': {'type': 'object', 'required': ['id', 'label', 'pass'], 'properties': {'id': {'type': 'string'}, 'pass': {'type': 'boolean'}, 'label': {'type': 'string'}, 'detail': {'type': 'string'}, 'weight': {'type': 'number'}}}}, 'domain': {'type': 'string'}, 'throttledCount': {'type': 'integer', 'description': 'Requests the site answered with HTTP 429'}}}
History

Recent tool changes

Changed
growthr_scan
Sept. 21, 2026, 3 a.m.
Added
growthr_ai_visibility
Sept. 17, 2026, 12:35 p.m.
Added
growthr_fix_order
Sept. 17, 2026, 12:35 p.m.
Added
growthr_llms_txt
Sept. 17, 2026, 12:35 p.m.
Added
growthr_scan
Sept. 17, 2026, 12:35 p.m.
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