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Rankahead is an AI visibility and Generative Engine Optimization (GEO) platform. As more people get answers directly from AI systems instead of clicking through search results, traditional SEO metrics no longer tell the full story. Rankahead fills that gap by querying the major large language models on your behalf, measuring where and how often your brand appears in their responses, and giving you the tools to improve that presence.

What Rankahead does

Rankahead sits between your brand and the AI engines that are shaping discovery. It continuously sends queries — called prompts — to OpenAI (ChatGPT), Anthropic, Google (AI Overviews), and Perplexity, then records the responses. From those responses it derives metrics like your visibility score, mention rate, and share of voice relative to competitors. When competitors appear in answers where your brand does not, Rankahead surfaces those as answer gaps and suggests the content and optimizations needed to close them.

Who Rankahead is for

  • Founders and solopreneurs who want to know whether their product is showing up when potential customers ask AI tools for recommendations.
  • Marketing teams that need to track and report on AI-channel share of voice alongside traditional SEO metrics.
  • Agencies managing multiple client brands and domains, who need a single platform to monitor and improve AI visibility at scale.
  • Developers and AI teams who want to automate visibility monitoring by connecting an AI agent to Rankahead’s MCP server.

Core capabilities

AI visibility tracking

Run prompts across all major LLM providers and measure your brand’s visibility score, mention rate, and share of voice over time.

Answer gap analysis

Find the queries where competitors appear in AI answers but your brand does not, and prioritize the gaps with the highest impact.

GEO content generation

Generate AI-optimized blog posts targeting your answer gaps and publish them directly to your CMS.

MCP agent integration

Connect any AI agent to Rankahead via the Model Context Protocol to automate monitoring, reporting, and optimization workflows.

How it works

Rankahead models your online presence as a set of domains — the websites or brands you want to track. For each domain you define prompts: the questions a potential customer might ask an AI tool. Rankahead sends those prompts to the configured LLM providers on a schedule you control, collects the responses, and analyzes them to extract mentions, citations, and competitor appearances. The results flow into the Dashboard, where you can see how your visibility changes over time, which LLMs mention you most, and where your competitors are outpacing you. From the Content section, you can generate blog posts designed to close specific answer gaps and publish them without leaving Rankahead. GEO Tasks give you a kanban board to track every optimization action — from building citations to adding schema markup — so nothing falls through the cracks.

Plans

Rankahead offers three plans to match teams of different sizes.
PlanDomainsPromptsTeam membersPrice
Free101Free
Solopreneur3501€39 / month
AgencyUnlimited50Unlimited€99 / month
Prompt runs consume from your prompt quota each time they execute. Scheduled and manual runs count equally toward your quota.

Where to go next

Quickstart

Create your account, add your first domain, and run your first AI visibility prompt in minutes.

Core concepts

Learn the terminology — domains, prompts, visibility scores, GEO tasks, and more — before diving into the platform.

Dashboard overview

Understand every metric and chart in the main analytics dashboard.

MCP integration

Connect an AI agent to Rankahead using the Model Context Protocol for automated workflows.