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Updates
What’s new in iGEO.

iGEO MCP Server
April 4,  2026

iGEO MCP Server is Now Available

You can now connect iGEO directly to the AI tools you already work in using the new iGEO MCP Server.

Ask ChatGPT, Claude, Cursor, VS Code, Windsurf, and other MCP-compatible clients questions about your AI visibility, GEO performance, competitors, prompts, citations, sentiment, and cross-model presence using your real iGEO project data.

This turns iGEO into more than a dashboard. Instead of switching between platforms, exporting reports, or manually collecting screenshots from different AI engines, you can access GEO insights directly inside your workflows. That makes it easier to automate reporting, run competitive analysis, monitor AI visibility, and take action faster.

The iGEO MCP Server connects natural language directly to structured GEO workflows, including AI visibility analysis, prompt intelligence, citation tracking, sentiment monitoring, and competitive benchmarking across models like ChatGPT, Claude, Gemini, Perplexity, and Copilot.

More iGEO data is now accessible through MCP

The MCP server now provides deeper context across your GEO workflows. You can:

  • Query AI visibility and share-of-voice data directly from your projects

  • Compare brand positioning across AI models and answer engines

  • Analyze prompts, citations, sentiment, and recommendation trends

  • Retrieve structured GEO insights and optimization recommendations

  • Access source-level visibility and citation intelligence

  • Inspect supported AI models and workflows without guessing valid IDs

MCP now supports more complete AI-native workflows

The iGEO MCP Server now goes beyond read-only analysis.

You can now:

  • Run reusable GEO prompt workflows directly from MCP clients

  • Automate recurring AI visibility and monitoring tasks

  • Create, update, and manage key iGEO entities through MCP tools

  • Build AI-agent workflows on top of structured GEO data

  • Use improved server instructions and workflow orchestration for better error recovery and tool selection inside AI assistants

Built for AI-native GEO operations

The iGEO MCP Server is designed as infrastructure for AI-native GEO workflows. It allows AI assistants and agents to interact directly with structured visibility, sentiment, citation, and competitive intelligence data — enabling faster decision-making and automated optimization workflows across your organization.