Agent Access Matrix
availableCompare robots policy, simulated agent user-agent responses, server-rendered content, browser stability, CAPTCHA, and security evidence in one public-site preflight.
Open toolAgent readiness field guides
Follow what changed in browser agents and agentic commerce, understand what it means for your site, and turn each development into a testable customer journey. The library also includes foundational field guides, growth playbooks, versioned diagnostics, supporting utilities, and original benchmarks.
Article-to-tool system
These live tools connect the articles to one shared evidence model: GoalContract, TestRun, Evidence, OutcomeReceipt, and Diff. Each tool states what actually ran and keeps unavailable execution distinct from failure.
Compare robots policy, simulated agent user-agent responses, server-rendered content, browser stability, CAPTCHA, and security evidence in one public-site preflight.
Open toolImport a Lighthouse JSON report locally, preserve official audit IDs and display values, and turn observed failures into an agent-journey rerun checklist.
Open toolDefine the goal, starting state, allowed and prohibited actions, safe stop, assertions, and authoritative readback before an agent touches a site.
Open toolCheck the public substrate an agent needs before checkout: product data, structured prices, price parity, policies, HTTPS, and discoverable interaction evidence.
Open toolLint proposed WebMCP-style tool registrations for names, descriptions, input schemas, constraints, consequences, harmless-call clarity, and declared human-form parity.
Open toolCreate one content-versioned task contract and four explicit result slots for Grok, Claude, ChatGPT Work, and Gemini so manual or future authorized runs remain comparable.
Open toolThe agent-actionable web
Source-checked analysis of Grok Bot, Claude browser use, Stripe Link, agentic-commerce protocols, Lighthouse Agentic Browsing, WebMCP, authentication, and edge access. Each article connects the news to a concrete test and an adjacent AgentReady tool opportunity.
Learn what xAI's Grok Bot launch means for discovery, browser access, authentication, task completion, and evidence-backed website testing.
Read the analysisClaude in Chrome is generally available. Learn how built-in browser use changes post-login journeys, approvals, safety, and website testing.
Read the analysisStripe's Link wallet can fund agents, but merchants still need discoverable products, usable checkout, explicit approval, and verified fulfillment.
Read the analysisCompare UCP, ACP, and MPP by the job each protocol performs, then choose a commerce path without confusing support with journey success.
Read the analysisUnderstand what Lighthouse Agentic Browsing checks, why its audits are informational, and which real agent journeys still need end-to-end evidence.
Read the analysisLearn when WebMCP website tools help AI agents, how declarative and imperative tools differ, and what safety and journey evidence remain necessary.
Read the analysisA practical measurement model for separating deterministic website readiness checks from evidence that an AI agent completed a defined customer journey.
Read the analysisA safe, reproducible blueprint for testing browser agents in authenticated product journeys with isolated fixtures, approval boundaries, and auditable evidence.
Read the analysisHow to distinguish crawler policy, edge enforcement, signed agent traffic, and full browser behavior when testing whether AI agents can actually reach a website.
Read the analysisA fair ten-task blueprint for comparing Grok Bot, Claude in Chrome, ChatGPT Work, and Gemini without presenting proposed tests as observed results.
Read the analysisFree tools
Use focused workflows for public access, Lighthouse evidence, bounded journeys, commerce preflight, WebMCP registrations, and cross-agent replay—then export the evidence envelope.
Fetch the live root file, catch HTML fallbacks, inspect headings and links, then generate, preview, copy, or download a maintained starting file.
Use the free toolAnalyze robots.txt for named crawler tokens, then inspect bounded public-page delivery, redirects, X-Robots-Tag, and HTML meta robots.
Use the diagnosticReview OpenAPI JSON for operation identity, descriptions, auth and scopes, errors, examples, retry and rate-limit guidance, lifecycle, pagination, and workflows.
Use the diagnosticValidate an A2A Agent Card shape and surface missing identity, version, skill, supported-interface, media-mode, and capability details.
Use the diagnosticCompare robots policy, simulated agent user-agent responses, server-rendered content, browser stability, CAPTCHA, and security evidence in one public-site preflight.
Use the toolImport a Lighthouse JSON report locally, preserve official audit IDs and display values, and turn observed failures into an agent-journey rerun checklist.
Use the toolDefine the goal, starting state, allowed and prohibited actions, safe stop, assertions, and authoritative readback before an agent touches a site.
Use the toolCheck the public substrate an agent needs before checkout: product data, structured prices, price parity, policies, HTTPS, and discoverable interaction evidence.
Use the toolLint proposed WebMCP-style tool registrations for names, descriptions, input schemas, constraints, consequences, harmless-call clarity, and declared human-form parity.
Use the toolCreate one content-versioned task contract and four explicit result slots for Grok, Claude, ChatGPT Work, and Gemini so manual or future authorized runs remain comparable.
Use the toolSeparate answer-engine mentions and citations from owned-site task completion, with distinct evidence, denominators, and success metrics.
Compare the auditsOriginal research
Explore 26 public-company profiles built around exact customer tasks, timestamped scanner evidence, coverage, safe stopping points, strengths, failures, and official sources.
Browse the research indexDeep practical guide
A practical, evidence-based workbook for checking whether AI agents can discover, understand, navigate, and safely use a website.
Open workbookDeep practical guide
A comprehensive pattern guide to landmarks, names, controls, state, errors, and task verification for humans and browser agents.
Open workbookDeep practical guide
A comprehensive, reviewable starter kit for documenting repository scope, commands, architecture, safety boundaries, and proof of completion for coding agents.
Open workbookA practical, evidence-based workbook for checking whether AI agents can discover, understand, navigate, and safely use a website.
Read guideSeparate established web protocols from emerging agent conventions and verify what each discovery file can actually demonstrate.
Read guideA comprehensive pattern guide to landmarks, names, controls, state, errors, and task verification for humans and browser agents.
Read guideA decision rubric for adding durable automation hooks without replacing accessibility, exposing sensitive data, or freezing presentation details.
Read guideA comprehensive, reviewable starter kit for documenting repository scope, commands, architecture, safety boundaries, and proof of completion for coding agents.
Read guideDesign a fast, deterministic verification ladder that helps coding agents prove scoped changes without mutating production systems.
Read guideVerify sitemap status, media type, XML, canonical hosts, redirects, page truth, and last-modified dates instead of trusting a 200 response.
Read guideImprove labels, input purpose, validation, focus, confirmation, and receipts so people and agents can complete forms reliably and safely.
Read guideBuild repeatable browser-agent tasks for finding pages, citing facts, navigating, filling safely, recovering, and refusing consequence.
Read guideDesign trust boundaries, least privilege, approval gates, secret controls, injection defenses, idempotency, and action logs for agent-assisted web actions.
Read guideGrowth content
Five source-linked guides turn the category into practical work: agent-friendly websites, SEO versus agent readiness, the four agent modes, the second agent FTUE, and the minimum by goal.
agent-friendly-website
A practical sequence for making a website discoverable, understandable, operable, and safe when a customer delegates the task to an AI agent.
Read growth guideSEO
Understand where technical SEO ends and agent task readiness begins, then connect discovery metrics to real delegated outcomes.
Read growth guidecomputer-use
Design for the four agent modes that reach a site today: search and extraction, visual computer use, DOM and accessibility browsers, and APIs or tools.
Read growth guideagent-FTUE
Treat the first-time user experience for a delegated agent as a product surface with identity, intent, context, safe stops, and receipts.
Read growth guideagent-readiness
A goal-by-goal minimum checklist for discovery and recommendation, signup and leads, booking, commerce, and API or product use.
Read growth guideUse the AgentReady testing platform guide for the reference-agent evidence boundary. For a broader launch-readiness pass outside AgentReady, see LaunchReady.
The free scan checks protocol, DOM/accessibility, content, browser compatibility, and public safety signals. It is a diagnostic, not a certification.
Scan a public URL free