--- title: "Agent Ready vs alternatives: agent-readiness tools compared" description: "How Agent Ready compares to manual audits, general SEO crawlers, and single-spec llms.txt validators — and why it's the only scanner that checks llms.txt, the Vercel Agent Readability Spec, and every agent-protocol manifest in one pass." last_updated: 2026-06-02 canonical_url: https://agent-ready.dev/agent-ready-vs-alternatives --- # Agent Ready vs the alternatives > How Agent Ready compares to manual audits, general SEO crawlers, and single-spec llms.txt validators — and why it's the only scanner that checks llms.txt, the Vercel Agent Readability Spec, and every agent-protocol manifest in one pass. ## At a glance There's no other tool with the same scope. Three approaches cover parts of what Agent Ready does — manual/DIY audits, general SEO crawlers (Lighthouse, Screaming Frog), and single-spec llms.txt validators. Only Agent Ready checks the full agent-readability surface in one pass. | Criterion | Agent Ready | Manual audit | SEO crawlers | llms.txt validators | |---|---|---|---|---| | Built for | AI-agent readability | Whatever rubric you bring | Human search-engine SEO | llms.txt format only | | llms.txt / llms-full.txt | 10 checks vs llmstxt.org | By hand | Usually ignored | Its only job | | Vercel Agent Readability Spec | 38 site + per-page checks | By hand | Not checked | Not checked | | MCP / A2A / agents.json manifests | All validated in one pass | Possible, slow & error-prone | Not checked | Not checked | | Markdown mirrors & content negotiation | Checked per page | By hand | Not checked | Not checked | | Total checks | 60 | — | SEO-focused set | ~6–10 (one file) | | Fix guidance | Plain-English fix per check | You write it | Generic SEO tips | Format errors only | | Output surfaces | Web, JSON API, Markdown, MCP, CLI, extension | — | Web / CSV | Web | | Time to result | Seconds | Hours per site | Minutes | Seconds (one file) | | Price | Free, no sign-up | Your time | Freemium → paid | Free | ## What are the alternatives to Agent Ready? - **Manual / DIY audits** — read the Vercel Agent Readability Spec, the llmstxt.org standard, and the MCP/A2A/agents.json specs, then hand-check every condition. Total control, but it doesn't scale and goes stale on every deploy. - **General SEO crawlers** — Lighthouse, Screaming Frog, and similar audit pages for human search engines (meta tags, performance, links). They never look at llms.txt, markdown mirrors, or agent-protocol manifests. - **Single-spec llms.txt validators** — lint one file against the llmstxt.org format. Handy, but blind to the other ~50 conditions that decide whether an agent can discover, parse, and act on your site. ## Why choose Agent Ready? - **Built specifically for AI-agent readability** — every check maps to how agents discover, parse, and cite your site, not to human-search SEO. - **The only scanner that validates every agent-protocol manifest in one pass** — MCP server cards, A2A agent cards, agents.json, agent-permissions.json, UCP, x402, and NLWeb, checked together with llms.txt and the Vercel spec. - **A remediation plan, not just a score** — every one of the 60 checks ships a clear, actionable fix when it fails. - **Free, instant, and everywhere your workflow is** — scan with no sign-up in seconds, and consume results via the web UI, JSON API, Markdown mirrors, an MCP server, a CLI, and a browser extension. - **Spec-aligned and evidence-based** — mapped to the Vercel Agent Readability Spec and the llmstxt.org standard, and informed by published research like Princeton's GEO study on what gets cited in AI answers. ## How is Agent Ready different from an SEO scanner? An SEO scanner optimises for the human-search funnel: rank on a results page, win the click. Agent Ready optimises for the agent funnel: get discovered, parsed, and cited by ChatGPT, Claude, Perplexity, Gemini, and coding assistants — where users click a source link only about 8% of the time (Pew Research, July 2025). The signals that win there — llms.txt, AGENTS.md, JSON-LD, markdown mirrors, content negotiation, and protocol manifests — are exactly the ones a traditional SEO crawler doesn't measure. ## When is a manual audit or single-spec validator enough? If you only publish an llms.txt file and want to confirm it parses, a free llms.txt linter does the job. If you're a spec author who ships rarely, a manual audit is fine. For everyone else — anyone shipping regularly, running more than one page, or exposing MCP/A2A/agents.json — a single scan that covers all 60 conditions and tells you exactly what to fix saves hours and catches the protocol gaps the narrow tools miss. ## Frequently asked questions ### Is Agent Ready free? Yes. You can scan any public URL from the homepage with no sign-up and no credit card, and results come back in seconds. A Pro plan ($19/month) adds the REST API, the authenticated MCP server, and CI/CD gating for teams that want to automate scans — but the core scanner and every fix explanation are free. ### How is Agent Ready different from an SEO tool like Lighthouse or Screaming Frog? General SEO crawlers are built to optimise pages for human search engines — page speed, meta tags, broken links, Core Web Vitals. They do not check the surfaces AI agents actually read: llms.txt, AGENTS.md, markdown mirrors, content negotiation, MCP server cards, A2A agent cards, agents.json, or agent-permissions.json. Agent Ready was built specifically for AI-agent readability and checks all of those in one pass. ### Can't I just check these files manually? You can, and the specs are public — but a manual audit means reading the Vercel Agent Readability Spec, the llmstxt.org standard, SEP-1649, the A2A spec, and the agents.json spec, then hand-verifying ~60 conditions across every page and well-known path, and re-doing it on every deploy. Agent Ready runs all 60 checks in seconds and hands back a plain-English fix for each failure, so the audit becomes a remediation list instead of a research project. ### Does Agent Ready only check llms.txt? No. A single-spec llms.txt validator checks one file against the llmstxt.org format. Agent Ready includes those 10 llms.txt checks, but adds 38 checks against the Vercel Agent Readability Spec (site-wide and per-page) and 12 checks against agent-protocol manifests — MCP, A2A, agents.json, agent-permissions.json, UCP, x402, and NLWeb — for 60 checks total. ### What does Agent Ready check that other tools don't? The agent-protocol layer. Agent Ready is the only readiness scanner that validates MCP server cards (SEP-1649), A2A agent cards, Wildcard agents.json, agent-permissions.json, UCP, x402, and NLWeb /ask endpoints — alongside llms.txt and the full Vercel Agent Readability Spec — and explains how to fix each failing check. --- Read the full comparison on the web: ## Sitemap See the full [sitemap](https://agent-ready.dev/sitemap.md) for all pages on agent-ready.dev.