Agentic web glossary

The terms behind agent-ready websites

A practical vocabulary for teams testing how AI agents discover, understand and operate websites.

Four connected material systems representing foundations, discovery, execution and evidence

Use precise language

Three distinctions prevent misleading conclusions

A technology can exist without helping a task. A run can succeed without proving broad readiness.

01

Signal is not outcome

Finding WebMCP, structured data or llms.txt records an implementation state. Success still requires a real task test.

02

Readiness is not confidence

Readiness describes observed capability. Confidence describes how strongly repetitions and evidence support that result.

03

Agentic web is not one standard

The field combines established web foundations, open protocols, product behavior and emerging proposals with different maturity.

A shared vocabulary for audit decisions

Each definition is scoped to practical website testing. Related terms make the measurement model traceable.

01 / 04

Foundations

The concepts that describe agents, browser interaction and the semantic interface exposed by a page.

AI agent
A software system that interprets a goal, chooses actions, uses available tools and evaluates progress toward an outcome.
RelatedBrowser agentTask contract
Agentic browsing
Goal-directed use of a browser by an agent to observe pages, operate controls and complete multi-step web tasks.
RelatedBrowser agentAccessibility tree
Agentic web
An umbrella term for web experiences that agents can discover, understand and operate through browser or structured interfaces.
This is a descriptive industry term, not a single formal web standard.
RelatedAgentic browsingWebMCP
Browser agent
An agent that uses browser observations and input actions such as navigation, clicking, typing and scrolling.
RelatedAgentic browsingBrowser baseline
Accessibility tree
A semantic representation derived from the page that exposes roles, names, states and relationships to assistive technologies and some agents.
RelatedSemantic controlAgentic browsing
Semantic control
An interactive element whose role, accessible name, state and behavior make its purpose programmatically understandable.
RelatedAccessibility treeDeterministic assertion

02 / 04

Discovery and context

Signals that help agents retrieve, interpret and attribute public information without guaranteeing a citation or ranking.

Citation readiness
The degree to which a source is accessible, specific, current and easy to attribute when an AI system retrieves it.
Readiness can be tested, but no website can guarantee a citation from an external product.
RelatedCanonical sourceStructured data
llms.txt
A proposed Markdown file at a well-known site path that offers language models a concise map of useful public content.
It is an auxiliary proposal, not a replacement for crawlable canonical HTML or a ranking requirement.
Relatedllms-full.txtCanonical source
llms-full.txt
An optional companion file that provides expanded public context for language models in one text resource.
Support and conventions vary. Its presence is an inventory signal, not proof of agent readiness.
Relatedllms.txtCanonical source
Structured data
Machine-readable facts embedded in or linked from a page, commonly expressed as Schema.org vocabulary in JSON-LD.
RelatedCanonical sourceCitation readiness
Canonical source
The authoritative public URL selected to represent a fact or document across duplicates, translations and machine-readable summaries.
RelatedCitation readinessllms.txt

03 / 04

Execution and interfaces

Contracts, controls and structured channels used to run a task safely and verify its final state.

Task contract
A versioned scenario definition containing a goal, prerequisites, allowed actions, fixtures, stop gate and success assertions.
RelatedStop gateDeterministic assertion
Deterministic assertion
A machine-checkable condition that establishes whether the expected final state was reached without relying only on model judgment.
RelatedTask contractTime to verified outcome
Stop gate
An explicit boundary that ends a production run before payment, submission, deletion or another irreversible action.
RelatedTask contractModel Context Protocol
Browser baseline
A deterministic automation run used as a stable reference for separating website behavior from agent-specific behavior.
RelatedBrowser agentFailure attribution
Model Context Protocol
An open protocol for connecting AI applications to external data sources, tools and workflows through defined capabilities.
RelatedWebMCPTask contract
WebMCP
An emerging proposal for websites to expose structured browser tools that agents can discover and invoke with explicit contracts.
Audit its lifecycle and implementation when present. Absence should not automatically fail a website.
RelatedModel Context ProtocolTask contract

04 / 04

Evidence and measurement

Outcome, stability and diagnostic measures used to explain what happened during an agent run.

Agent session replay
A time-ordered, privacy-controlled record of observations, actions, page states and technical events from an agent run.
RelatedTime to verified outcomeFailure attribution
Time to verified outcome
Elapsed time from the accepted task start until deterministic assertions confirm the expected final state.
RelatedDeterministic assertionAgent session replay
Cumulative Layout Shift
A Core Web Vital that measures unexpected layout movement over a page visit and can expose target movement during agent interaction.
RelatedTarget movementAgent session replay
Target movement
A change in an intended control's position between observation and action that can cause a click to miss or hit the wrong element.
RelatedCumulative Layout ShiftFailure attribution
Failure attribution
Classification of a failed run as a website defect, agent-specific limitation, policy block or test-infrastructure problem.
RelatedBrowser baselineConfidence score
Confidence score
A separate measure of how strongly the available repetitions, coverage and evidence support a readiness conclusion.
Confidence describes evidence quality. It does not increase the website's readiness score.
RelatedFailure attributionDeterministic assertion

Turn vocabulary into a testable audit

Define task contracts, collect evidence and separate website failures from agent-specific behavior.