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EnglishWhat is Not Human Search?
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Not Human Search is a search and scoring platform that checks whether AI agents can find and use a website. It scores any site from 0 to 100 across seven "agentic signals" — including llms.txt, OpenAPI, MCP, and Schema.org — and indexes agent-ready services so they can be discovered by machine readers rather than only by humans. It is aimed at site owners and developers who want their services, APIs, or tools surfaced to AI agents, and at anyone looking for services an agent can actually call.
What problem it solves
Most websites are built for human eyes: rendered layouts, JavaScript, marketing copy. An AI agent trying to complete a task — book a service, call an API, fetch structured data — often can't parse that. Not Human Search treats machine-readability as a first-class ranking signal, so the sites that surface are the ones an agent can act on.
The site states its ranking rule directly: organic rank is based on readiness, never payment. That matters if you're evaluating whether a listing reflects genuine agent compatibility or ad spend.
How scoring works
Each site is scored 0–100 against seven agentic signals. The evidence page shows the signals it checks:
| Signal | What it indicates |
|---|---|
| llms.txt | A machine-readable summary file for LLMs |
| ai-plugin | A plugin manifest describing capabilities |
| OpenAPI | A formal API specification |
| API | A callable programmatic interface |
| AI bots | Bot access policy / crawlability |
| Schema.org | Structured data markup |
| MCP | Model Context Protocol support |
Listings display the score plus point contributions — for example, a site at 100 shows +25 llms.txt and +20 ai-plugin, indicating those signals carry weighted value. The exact weighting of all seven isn't fully shown in the available evidence, so treat individual point values as indicative rather than a published rubric.
Two ways to use it
Score your own site. Enter a URL and get an instant 0–100 readiness score. The site describes this as free and instant, with an "Improve a score" path for sites that fall short. This is the diagnostic use case: find out which signals you're missing before an agent gives up on you.
Search the agent-ready web. Browse or search indexed services by category, protocol, or the job your agent needs to complete. The index covers 5,379 sites at the time of the source data (the site markets "8,000+" as a target/claim), with categories including:
- MCP Servers, AI Tools, Developer
- Data, Finance, E-Commerce
- Productivity, Security, Health
Example listings show the pattern: a finance API scoring 100 with all seven signals present, or a crypto payment gateway with the same full-signal profile. The average score across indexed sites is 38 — a useful benchmark, since it suggests most sites are far from fully agent-ready.
Who it's for
- Site owners and developers who want AI agents to discover and use their service, API, or tool — and need a concrete checklist of what's missing.
- Agent builders looking for services with callable APIs, MCP support, or structured data, rather than sites that only render for humans.
- Anyone comparing services on machine-readiness as a proxy for how easily they can be integrated.
What to keep in mind
The score measures readiness signals, not service quality or reliability — a 100 means an agent can likely parse and call the site, not that the underlying service is good. The index and average score are moving figures. And since ranking is readiness-based rather than paid, a high placement reflects technical signals rather than commercial promotion, which is the platform's stated design.