PageCritic

Loads a public landing page in a real browser (desktop and mobile), and returns a conversion score from 0 to 100, seven sub-scores (clarity, value proposition, CTA, trust, design, mobile, SEO basics), the top 3 issues with concrete fixes, what already works, a short AI-readiness score, and fix_prompt: a Markdown prompt that hands the fixes to a coding agent such as Claude Code or Cursor. Use it when someone wants feedback on why a homepage, landing page or pricing page does not convert, wants a second opinion before a launch, or wants to compare their page with a competitor's. Do not use it for pages behind a login, for non-HTML files, or for general SEO keyword research. It takes 30 to 90 seconds; if it returns status "running", call get_audit_result with the audit_id. The free result is complete on its own. The full report (10-15 more ranked issues, 3 headline and 3 CTA rewrites, 5 quick wins, mobile review, full AI-readiness fixes) costs $19 USD one-time, paid by a human at report_url. A URL audited through the API in the last 24 hours returns that same result. Limit: 5 new audits per hour per client, 20 with an API key. With an API key that has credits (Authorization: Bearer header; 10 full reports for $49, see https://pagecritic.app/developers), the result includes the full report.

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Full URL of the public web page, e.g. https://example.com or https://example.com/pricing."
    }
  },
  "required": [
    "url"
  ]
}

Fetches a public page as a normal browser and as GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, Claude-User and PerplexityBot, then reports which AI bots are blocked or get a challenge page, the robots.txt rule for each AI bot, how much text is visible without JavaScript, JSON-LD types, sitemap, Markdown versions and llms.txt, with a 0-100 score and prioritized fixes. Use it when someone asks whether ChatGPT, Claude or Perplexity can see or cite their site, or why their site does not show up in AI answers. Do not use it to judge design or copy (use audit_landing_page). It uses plain HTTP fetches, takes about 5-15 seconds, and is free (15 checks per hour per client).

{
  "type": "object",
  "properties": {
    "url": {
      "type": "string",
      "description": "Full URL of the public web page, e.g. https://example.com or https://example.com/pricing."
    }
  },
  "required": [
    "url"
  ]
}

Returns the current result of an audit started with audit_landing_page, by its audit_id. Use it only when audit_landing_page returned status "running"; wait about 20 seconds between calls. Returns the same fields as audit_landing_page.

{
  "type": "object",
  "properties": {
    "audit_id": {
      "type": "string",
      "description": "The 24-character audit_id returned by audit_landing_page."
    }
  },
  "required": [
    "audit_id"
  ]
}