What are the 7 agentic signals Not Human Search scores?

Updated

Not Human Search scores a site 0–100 across seven machine-readable "agentic signals" that determine whether AI agents can find, understand, and use it. The signals are llms.txt, ai-plugin, OpenAPI, API, AI bots, Schema.org, and MCP. Each contributes to the total, and a higher score means the site is more usable by autonomous agents. The site indexes 8,000+ agent-ready services and ranks them by readiness rather than payment.

The seven signals

Based on the site's own listing format, each indexed service shows the same set of readiness tags. The seven signals are:

Signal What it indicates
llms.txt A machine-readable file that tells LLMs what the site offers and how to navigate it
ai-plugin A plugin manifest that lets AI assistants call the service as a tool
OpenAPI A formal API specification agents can parse to make structured calls
API A callable programmatic interface, not just a human-facing page
AI bots Explicit allowance for AI crawlers/agents to access the site
Schema.org Structured data markup that describes content and entities
MCP A Model Context Protocol server exposing capabilities to agents

How the signals affect the 0–100 score

The scoring is additive and weighted by signal importance. In the observed listings, a fully ready site shows a base score of 100, with the two most heavily weighted signals broken out:

  • +25 for llms.txt — the single largest contributor, reflecting that an LLM-readable index is the primary discovery mechanism.
  • +20 for ai-plugin — the second-largest, since a plugin manifest makes the service directly callable.

The remaining signals (OpenAPI, API, AI bots, Schema.org, MCP) make up the rest of the total. A site missing llms.txt and ai-plugin would score substantially lower even if it has an API, because agents may never discover it in the first place.

Why these signals matter for AI agents

Each signal addresses a different stage of the agent workflow:

  1. Discovery — llms.txt and AI bots permissions let agents find the site and know they are allowed to use it.
  2. Understanding — Schema.org and OpenAPI describe what the service does and how to call it in a structured, unambiguous way.
  3. Execution — API, MCP, and ai-plugin let the agent actually perform a task (query data, make a payment, complete a job) rather than just read a page.

A site with only human-readable HTML may rank well for people but score near zero here, because an agent cannot reliably parse or invoke it.

What a high score means

A score closer to 100 indicates the site is fully legible and callable by autonomous agents across all seven dimensions. The site states that "organic rank is based on readiness, never payment," so position in its index reflects signal coverage, not advertising. If you want to know where a specific site stands, the score is presented as an instant, free check against these seven signals.