Model Context Protocol
Integrate with Claude Desktop via our MCP server and let AI agents query your GEO audit data directly.
Everything you need to become the default answer on ChatGPT, Perplexity, and Claude — from expert guides to plug-and-play integrations.
Three things every business needs to be recommended by AI — explained without the jargon.
Think of it as your product’s barcode for AI. Without it, AI engines guess your pricing, your inventory, and your brand — and often get it wrong. Innotek generates this automatically.
Learn the technical details →A one-page brief that tells every AI assistant exactly who you are, what you sell, and why you’re the right recommendation. It stops AI from confusing you with competitors.
See how it’s built →Track which AI platforms mention you, how often, and whether they recommend you or your competitors. The market-share metric for the AI era.
Explore citation tracking →


Already know what you need? Jump straight in.
Three topics every AI-first SEO practitioner needs to understand — from MCP integration to agency workflows and core terminology.
Integrate with Claude Desktop via our MCP server and let AI agents query your GEO audit data directly.
Learn how agencies scale AI-readiness audits across client portfolios with automated scoring and white-label reports.
Generate the AI-readable directory file that tells ChatGPT, Claude, and Perplexity exactly what your site does — in 60 seconds.
Innotek SEO AI is built to complement the tools you already rely on — not replace them. Connect in minutes via direct integrations or our REST API.
Pull performance data directly to contextualize your GEO audit scores and identify priority pages.
Sync AI visibility metrics with your CRM to tie organic AI traffic to leads and revenue.
Export schema recommendations and GEO scores into your Salesforce workflows for enterprise reporting.
Correlate AI-driven traffic gains with GEO audit improvements across your site's pages.
Full programmatic access to audits, schema generation, and LLMs.txt management for custom pipelines.
Future-proof infrastructure built to serve AI agents directly via Model Context Protocol endpoints.
{
"url": "https://yoursite.com",
"grade": "B",
"entity_clarity": 8,
"fact_density": 15,
"schema_completeness": 100,
"ai_score": 76
}