We measure whether AI agents will choose your business over your competitors. Not just find you. Not just mention you. Actually book you, quote you, and transact with you.
SEO helps businesses get found by search engines. AEO helps them surface in AI chat answers. But neither solves the next problem: when an AI agent tries to book a plumber, schedule a dentist, or hire a contractor on behalf of a consumer, which business does it pick?
GradeForAI is the scoring standard for AI Agent Preference. We measure how likely AI agents are to choose your business over every competitor in your market, using the AI Agent Preference Score, a 0-100 metric built from four dimensions: Agent Accessibility, Transaction Completeness, Data Reliability, and Competitive Position.
With 500,000+ businesses scored across 183 verticals and 395 cities, GradeForAI operates the largest AI agent preference dataset in existence. The data is real, the scoring is automated, and the benchmarks are built from ground truth.
Every score is generated by automated analysis of real business websites. No surveys. No self-reporting. Just ground truth.
183 verticals across 395 cities. The database grows daily and powers the industry's first AI agent preference benchmarks.
AI agents are moving from answering questions to taking action. They are booking appointments, comparing providers, processing payments. The business the agent picks wins the customer. Every other business in the consideration set gets skipped.
GradeForAI measures whether AI agents will choose your business when they act on behalf of consumers. We score across four dimensions, covering whether agents can navigate your site, complete the transaction, trust your data, and prefer you over local competitors, so businesses know precisely what is holding them back and what to prioritize.
Every score is generated by automated analysis, not opinions or self-reported surveys. The same engine grades every business the same way.
Knowing your score is step one. Each report breaks down exactly what to fix, in priority order, so you can improve where it matters most.
Your score means more in context. See how you compare to competitors in your vertical and city with real benchmark data.
AI agents are the next distribution channel. GradeForAI helps businesses get ready before their competitors do.
Founder of GradeForAI. Creator of the AI Agent Preference Score.
Mark Laird is a Dallas-Fort Worth entrepreneur who developed the AI Agent Preference scoring methodology and built GradeForAI as the definitive intelligence platform for the AI agent economy. His work sits at the intersection of AI infrastructure, local business, and automation.
Before GradeForAI, Mark built e-commerce brands on Amazon FBA, designed lead generation systems for service businesses, and spent years studying how technology reshapes the way consumers find and choose service providers. That hands-on experience with real businesses is what drives the scoring framework.
He built the scoring engine, the data pipeline, and the entire AI Agent Preference methodology from scratch. 500,000+ businesses scored. Four dimensions. One goal: give every local business a clear, objective measure of whether AI agents will choose them as the agent economy becomes the new front door for customers.
Digital marketing agencies are the fastest-growing segment using GradeForAI. The pattern mirrors how agencies adopted SEO in the 2000s: a new technical category emerges, early-mover agencies add it as a service line, and clients who understand the shift pay a premium to stay ahead of it.
AI Agent Preference is that category right now. Agencies use GradeForAI to prospect with real preference data, deliver branded audit reports to clients, and position agent preference as a measurable, billable service. The scoring database covers 500,000+ businesses across 183 verticals, which means agencies have benchmark data to support every client conversation. See how the agency platform works.
GradeForAI is a product of Layered Media LLC, based in Dallas-Fort Worth, Texas.
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