Add invisible "sticky notes" to your website that only AI models and Google can see. Submit a URL → Schema MONKEE reads your page → scours 800+ Schema.org types → generates intricate structured data markup → tells search engines exactly what your content means.
Creates invisible "sticky notes" for Google and AI models to understand your pages
AI-powered Schema.org markup generator. You submit a URL. Schema MONKEE analyzes the page content, searches through 800+ Schema.org types to find the perfect match, then generates intricate JSON-LD code that acts like invisible sticky notes. These notes tell Google "this is a product with this price" or "this is an article by this author." Your content stays the same — we just add machine-readable labels.
Zero manual work. Zero coding. Schema MONKEE reads your page like a human would, then translates it into machine language (Schema.org JSON-LD). What used to require 2-4 hours of developer time per page now happens in 30 seconds. Our pgvector RAG technology searches 800+ schema types and picks the perfect match automatically.
Google and AI actually understand your content. These "sticky notes" tell search engines "this is a product with a price" or "this is an article by this author." Result: Star ratings, prices, and images appear directly in search results. Your listings get 30-40% more clicks, rank 3-5 positions higher, and appear in AI-powered answers across ChatGPT, Perplexity, and Google AI Overviews.
5 AI agents analyze your page and create perfect Schema.org "sticky notes"
Opens your URL in a real Chrome browser (Browserless.io), reads all the visible content, removes navigation and clutter, then converts it to clean text. Creates a content fingerprint (SHA-256) to detect when pages change.
GPT-4 Turbo reads your page like a human and figures out: "Is this a Product for sale? An Article someone wrote? A Service you offer? A Person's bio? A Local Business?" Identifies the main thing your page describes and extracts key details.
Here's the breakthrough: Instead of guessing, we search our database of 800+ Schema.org types using vector similarity (pgvector). Takes 30ms to find the top 5 matches, then GPT-4 picks the PERFECT one. Like having an expert who's memorized the entire Schema.org vocabulary picking the exact right "sticky note" for your page.
GPT-4 Turbo writes the actual Schema.org JSON-LD code — the invisible "sticky note" that goes on your page. Includes all required fields like name, description, price, image, ratings. Creates intricate nested structures that perfectly describe your content in machine language.
Double-checks the markup is perfect: Has all required fields? Proper syntax? Valid for Google? Then saves it to your dashboard. You get copy-paste ready code plus validation status. If there's an issue, you see exactly what to fix.
One plan. Everything included. No surprise fees.
Structured data is how you communicate with Google
Most tools slap one schema type on a page and call it done. Schema MONKEE builds a structured knowledge graph across your entire site — the same architecture Google uses internally to understand entities, relationships, and context.
Instead of isolated schema blocks, Schema MONKEE generates a single unified @graph array per page — a modular, semantically correct structure where every entity on the page is connected and cross-referenced.
Your Organization and key Person entities are defined once in a canonical "Entity Hub" and given a permanent @id reference. Every page on your site links back to these canonical entities — creating a site-wide knowledge graph that Google can traverse.
Product pages reference the Organization. Author pages reference the Person. Service pages link to LocalBusiness. Every @id reference strengthens Google's confidence that your entities are real, authoritative, and trustworthy — the core of E-E-A-T signals.
When Google crawls your site and sees a coherent knowledge graph — where every entity, relationship, and page connects back to verified canonical references — it treats your site fundamentally differently. You're not just a site with keywords. You're a trusted information source in Google's knowledge graph.
subOrganization hierarchy for multi-location businessesGoogle's WebMCP (Web Model Context Protocol) is the emerging browser-based backbone for the agentic web — enabling AI agents to read, understand, and act on web content directly. Schema MONKEE's structured data output is natively compatible with WebMCP: the JSON-LD markup we generate gives AI agents explicit, machine-readable context about every page on your site.
Schema MONKEE's JSON-LD output gives WebMCP agents structured facts they can instantly parse — no guessing, no misinterpretation.
Our @graph technique and Entity Hub architecture create the exact canonical entities WebMCP agents use to build understanding of your business.
As Google ships WebMCP across Chrome, sites with rich structured data will have a massive first-mover advantage in agentic search results.
Join agencies and enterprises using Schema MONKEE to dominate search results — and get WebMCP-ready for the agentic web