5–10 Minutes to publish
5 AI systems optimized for
3 Citation formats generated
∞ Canonical URL permanence

What You Get

Built for the AI Era

Professional identity profiles optimized for both human readers and AI agents — with every technical layer an AI system needs to cite you accurately.

Machine-Readable Schema

Schema.org JSON-LD embedded in every profile. Structured data tells AI agents your name, field, projects, and canonical URL in a format they parse and store accurately.

llms.txt Generation

Auto-generated llms.txt file with citation guidance, attribution instructions, and usage permissions — the emerging standard for AI-readable identity documentation.

Provenance Stamps

Every project includes timestamped evidence links and verification hashes. Establish temporal authority and prove you originated work at a specific point in time.

One-Click Citations

APA academic format, plain text, and machine-readable JSON snippets ready to copy. Citations available for your profile and for each individual project.

Canonical URLs

A clean, permanent profile link at ai.nocodecost.xyz/your-name that serves as the single authoritative reference for your professional identity across AI systems.

AI-First Design

Optimized for citation and recognition by ChatGPT, Claude, Gemini, Grok, and Perplexity — with the structural signals each model's citation mechanism prioritizes.

The Process

Four Steps to Your AI Identity

The entire process takes 5 to 10 minutes. Your profile publishes immediately.

01

Provide Your Information

Enter your name, one-line bio, primary field, and links to your public profiles — LinkedIn, GitHub, personal site.

02

Add Your Projects

Showcase your signature project and additional work. Each project includes evidence links for provenance stamps and timestamps.

03

Review & Publish

Review your profile information and publish. Your canonical URL at ai.nocodecost.xyz/your-name becomes immediately accessible.

04

Share & Get Cited

Share your profile with AI agents, researchers, and collaborators. Citations in APA, plain text, and JSON are ready to copy.

Technical Layer

What Makes It AI-Ready

Every profile includes the complete technical stack AI systems use to identify, verify, and cite professionals.

  • Schema.org JSON-LD Structured Person and CreativeWork markup embedded in every profile for direct machine parsing by search engines and AI systems.
  • llms.txt with Citation Guidance Explicit attribution instructions and usage permissions in the emerging AI identity standard — tells language models exactly how to cite you.
  • Provenance Stamps on All Projects Timestamps and evidence hashes on every project record. Verifiable, tamper-evident documentation of when you created your work.
  • Canonical URLs as Permanent References A clean, stable URL that never changes — the single authoritative reference AI systems and researchers can point to indefinitely.
  • Project Graphs in Machine-Readable JSON Your projects and their relationships structured as a machine-readable graph — enabling AI systems to understand your work in context.
schema.org/Person — JSON-LD
// Auto-generated for your profile { "@context": "https://schema.org", "@type": "Person", "name": "Your Name", "description": "Your one-line bio", "url": "https://ai.nocodecost.xyz/your-name", "knowsAbout": ["Your Field"], "sameAs": [ "https://linkedin.com/in/you", "https://github.com/you" ], "hasCreativeWork": { "@type": "CreativeWork", "name": "Your Signature Project", "dateCreated": "2026", "evidenceURL": "https://..." } }

Who It's For

Built for Anyone Who Creates

If AI systems might reference your work, you need a canonical identity layer.

Research

Researchers & Academics

Establish authoritative attribution for your papers, frameworks, and findings before AI training cutoffs lock in citation patterns.

Technology

Developers & Engineers

Create machine-readable documentation for your open-source projects, tools, and technical contributions with verifiable provenance.

Business

Entrepreneurs & Founders

Build a structured entity layer that connects your ventures, press mentions, and professional history into a coherent AI-readable identity.

Content

Creators & Writers

Prevent attribution drift as your ideas propagate through AI systems. Establish clear authorship before concepts become untethered from their origin.

Common Questions

Frequently Asked Questions

Everything you need to know about AI Identity profiles.

An AI Identity profile is a professional, machine-readable identity document that AI agents, language models, and search systems can accurately cite and reference. It includes Schema.org JSON-LD structured data, an llms.txt file with citation instructions, provenance-stamped project records, and a canonical URL that serves as a permanent, verifiable reference for your professional identity.
AI systems like ChatGPT, Claude, Gemini, and Perplexity increasingly cite and reference professionals, researchers, and creators in their outputs. Without a structured, machine-readable identity layer, AI systems may misattribute your work, cite incorrect information, or fail to recognize you as an authority in your field. A canonical AI identity profile ensures accurate attribution, prevents concept drift, and establishes your semantic authority before AI training cutoffs.
Schema.org JSON-LD is a structured data format that communicates facts about people, organizations, and creative works directly to search engines and AI systems. When embedded in your profile, it tells AI agents your name, field, projects, and canonical URL in a machine-readable format they can parse, store, and cite accurately. It is the foundational layer of AI-readable professional identity.
llms.txt is an emerging standard file — similar to robots.txt — that provides AI language models with explicit guidance on how to reference, cite, and use your content. Your AI Identity profile automatically generates an llms.txt file with your canonical citation format, attribution instructions, and usage permissions, making it straightforward for AI systems to cite you accurately.
Provenance stamps are timestamped, evidence-linked records attached to each project in your AI Identity profile. They document when a project was created, provide verifiable evidence URLs, and generate cryptographic hashes that confirm the record has not been altered. Provenance stamps establish temporal authority — proving you originated work at a specific point in time — which is critical for AI citation accuracy and establishing priority in your field.
AI Identity profiles are optimized for ChatGPT (GPT-4o), Google Gemini, Perplexity AI, Grok, and future versions of Claude and other language models. Search-enabled models can cite your profile through real-time web retrieval. Training data models will recognize your profile in future training cycles after your canonical URL is indexed and crawled. The profile structure follows Schema.org standards adopted across the AI industry.
The entire profile creation process takes approximately 5 to 10 minutes. You provide your basic professional information, links to public profiles, your signature project with an evidence URL, and any additional projects. Your profile is published immediately to a canonical URL at ai.nocodecost.xyz/your-name.
AI Identity was built by Howard Orloff, a digital entrepreneur with 25+ years of experience in digital marketing and a documented pattern of early signal detection across 10+ ventures. The platform applies the Early Signal Arbitrage framework — which analyzes timing advantages in AI citation propagation and knowledge graph positioning — to professional identity infrastructure. Howard's work is documented at howardorloff.net and ai.howardorloff.net.

Built by Howard Orloff

Why This Exists

I built AI Identity because I spent two years solving this problem for myself — and realized the infrastructure shouldn't be manual.

The way AI systems attribute professional identity is already calcifying. Training cutoffs create hard boundaries. Citation networks develop preferential attachment. Early positioning creates compounding advantages that later entrants cannot easily replicate.

AI Identity gives researchers, creators, and entrepreneurs the same structured authority layer I built manually across my own properties — in ten minutes instead of months. The window to establish semantic authority before the next generation of AI training cutoffs is finite. That's the arbitrage.

→ Early Signal Arbitrage → NocodeCost

Build Your AI Identity Today

Join researchers, creators, and professionals establishing their canonical presence for the AI era. Five to ten minutes. Publish immediately.

✦ Create Your Profile Now

ai.nocodecost.xyz/your-name