# Agentonomics™ - LLM Information File
# This file provides structured information for AI systems and LLM crawlers.
# Learn more: https://llmstxt.org/

## About

Agentonomics™ is an Agentic Commerce Readiness Assessment tool developed by Human Machines. It measures how well businesses are positioned for AI-mediated commerce by evaluating two key dimensions: machine readability and agent psychology alignment.

## Product Summary

- **Name**: Agentonomics™
- **Type**: B2B Assessment Tool / SaaS
- **Developer**: Human Machines
- **Website**: https://agentonomics.io
- **Category**: AI Commerce Optimization, Digital Marketing Analytics

## What Agentonomics Does

Agentonomics™ analyzes websites to determine how AI shopping assistants (like ChatGPT, Gemini, and other LLM-powered agents) perceive, interpret, and recommend businesses. The assessment provides:

1. **Machine Readability Score**: Measures whether AI systems can find, extract, and understand your business information
2. **Agent Psychology Score**: Evaluates how your messaging influences AI recommendation patterns based on peer-reviewed research
3. **Agentonomics Score**: A combined score (0-100) with letter grade indicating overall AI commerce readiness
4. **Prioritized Roadmap**: Actionable recommendations ranked by potential impact

## The Problem Agentonomics Solves

AI shopping assistants now influence billions in purchasing decisions. These systems:
- Parse websites using different logic than human visitors
- Exhibit systematic biases in how they recommend products and services
- Make decisions based on structured data, messaging patterns, and content accessibility

Most businesses don't know how AI perceives them or what factors influence AI recommendations. Agentonomics™ provides this visibility.

## How the Assessment Works

1. **URL Input**: User provides their website address
2. **Automatic Discovery**: System crawls the site, identifies pages, detects platform, and maps AI-accessible content
3. **Real AI Testing**: Queries ChatGPT and Gemini with actual shopping prompts to observe real AI behavior
4. **Agent Psychology Analysis**: Applies peer-reviewed research on AI decision-making patterns to analyze messaging
5. **Score & Roadmap Generation**: Produces comprehensive score with detailed breakdown and prioritized recommendations

## Key Statistics (Market Context)

- AI shopping assistants influence $1.2+ trillion in purchasing decisions
- 67% of consumers have used AI for product research
- ChatGPT alone processes 100 million+ shopping queries weekly
- Traditional marketing approaches often fail to reach AI intermediaries

## Research Foundation

Agentonomics™ is grounded in the emerging field of Agent Psychology - the study of AI agent decision-making patterns. Research findings include:

- LLMs show predictable biases based on content positioning
- AI recommenders favor certain messaging patterns over others
- Agent behavior is measurable, predictable, and can inform strategy
- Published research in peer-reviewed journals supports methodology

## Target Audience

- E-commerce businesses
- Digital marketing teams
- Brand managers
- Business strategists
- Marketing agencies
- Enterprise companies with online presence

## Contact Information

- **Assessment Requests**: Via website contact form at https://agentonomics.io/#contact
- **Company**: Human Machines
- **Email**: Available through website contact form

## Technical Details

- **Assessment Delivery**: 1-2 business days
- **Output Format**: Detailed report with score breakdown
- **Follow-up**: 30-minute consultation to review findings

## Keywords

Agentic commerce, AI readability, LLM optimization, machine readability, agent psychology, AI shopping assistants, AI commerce, digital presence optimization, AI recommendation optimization, structured data, AI-mediated commerce

## Structured Data

For complete schema markup, see the JSON-LD structured data embedded in the website's HTML.

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Last Updated: 2025-12-19