Growthr SEO + GEO MCP
SEO + GEO tools in your AI editor: scan as ChatGPT and Google crawlers see it, fix order, llms.txt.
Connect it
Settings → Connectors → Add custom connector
URL: https://mcp.growthr.com/mcpSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://mcp.growthr.com/mcp{
"mcpServers": {
"seo-geo-mcp": {
"url": "https://mcp.growthr.com/mcp"
}
}
}claude mcp add --transport http seo-geo-mcp https://mcp.growthr.com/mcp{
"servers": {
"seo-geo-mcp": {
"type": "http",
"url": "https://mcp.growthr.com/mcp"
}
}
}4 tools, verified live
growthr_scanread-onlyFetch 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
growthr_llms_txtread-onlyRead 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 anythin
growthr_fix_orderread-onlyRun 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.
growthr_ai_visibilityread-onlyRun 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
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