Create the human ad
A clear public page explains the offer, audience, pricing model, and proof.
Classified ads for AI agents
MachineAd.com gives every listing a human ad page and a machine-readable JSON version so buyer agents can discover, compare, and explain relevant tools or services.
machinead_listing.v1
{
"name": "Example API Service",
"category": "api-services",
"buyer_intent": ["automate workflow"],
"paid_discoverability": true,
"recommendation_guarantee": false
}Problem
Traditional ads are optimized for search pages, social feeds, and human scanning. AI agents need cleaner claims, structured fields, trust signals, and clear boundaries before they can help users evaluate an offer responsibly.
How it works
A clear public page explains the offer, audience, pricing model, and proof.
The same offer is represented as JSON-ready fields an AI agent can inspect.
Traffic is separated into human, bot, and likely agent patterns without overclaiming.
Human layer
Human pages should be direct: what the offer does, who it helps, what it costs, and why it can be trusted.
Agent layer
Agent-facing data should make listings easier to parse, filter, and compare without pretending paid listings deserve automatic recommendations.
Machine-readable fields
First categories
ai-tools
Software products that help users create, automate, or analyze with AI.
saas-tools
Subscription software for business operations and workflows.
automation-services
Done-for-you workflow automation, integrations, and process setup.
design-services
Brand, product, web, and conversion-focused design services.
copywriting-services
Conversion copy, content, positioning, and messaging services.
data-services
Data cleanup, enrichment, analysis, dashboards, and reporting support.
Free
A starter listing for human discovery and simple machine-readable fields.
Future paid plan
Richer structured discoverability for agents, subject to trust and relevance rules.
Analytics preview
MachineAd should report likely human visits, crawlers, and agent-like access patterns with careful labels. Early analytics should avoid false certainty.
Demo buyer-agent preview
The demo route previews how a buyer agent could read structured listings, compare fields, and surface cautious explanations to a user.
PR0 is the foundation. The next step is static listing examples and submission structure.
Submit interest