Evaluated citeworthyio/seo-agent for reusable process knowledge. Relevant to this fleet's WordPress content sites (granja travel news, content-agent pipeline): a crawl-diagnose-approve-recrawl-measure loop for SEO metadata changes, a three-layer AI-crawler accessibility audit (robots policy, bot delivery, readable content), and a fail-closed method for generating and safely injecting Article JSON-LD. Keyword research and citation-probe pieces of the source repo were skipped as underdeveloped or too infra-coupled to be reusable here. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
69 lines
3.5 KiB
Markdown
69 lines
3.5 KiB
Markdown
---
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name: ai-crawler-accessibility-audit
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description: Use when auditing whether a site can be crawled, read, and cited by AI answer engines, especially for JavaScript-rendered sites, CDN bot controls, robots.txt policy, llms.txt, or unexplained absence from AI citations.
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license: MIT
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source: adapted from https://github.com/citeworthyio/seo-agent/blob/b78bb487f2819c3c7cc2ba6f3f5626ea0b841840/src/aeo.ts
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---
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# AI Crawler Accessibility Audit
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Audit three separate layers: policy, fetch delivery, and readable content. A
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healthy `<head>` does not make a client-rendered page citable because AI crawlers
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and user-fetchers generally do not execute the site's JavaScript.
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## 1. Separate answer-engine bots from training bots
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Read the live `/robots.txt` and evaluate its actual groups using longest-match
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robots rules; an exact user-agent group takes precedence over `*`, and `Allow`
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wins equal-length ties.
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Treat blocking answer/search fetchers as a discoverability defect. Check at
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least OAI-SearchBot, ChatGPT-User, Claude-SearchBot, Claude-User, PerplexityBot,
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Perplexity-User, Googlebot, Bingbot, Meta-WebIndexer, DuckAssistBot,
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MistralAI-User, Amazonbot, and Applebot. Googlebot and Bingbot also feed AI
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answer surfaces.
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Treat training-only crawlers separately: GPTBot, ClaudeBot, CCBot,
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Google-Extended, Applebot-Extended, meta-externalagent, and Bytespider. Allowing
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or denying these is a content-policy choice; do not claim that blocking them
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alone removes the site from citations. Explicit groups are preferable to an
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accidental allow-all because they document intent and survive managed
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`robots.txt` defaults.
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## 2. Validate agent-facing text resources by content
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Fetch `/llms.txt` and, if advertised, `/llms-full.txt`. A `404` is an honest
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absence. A `200` containing an HTML application shell or `text/html` is a soft
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404 and worse: an agent asked for a text map and received misleading content.
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Serve a real plain-text/Markdown resource or a clean absence. Treat these files
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as cheap insurance, not as a proven ranking lever.
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## 3. Compare ordinary and AI-user-agent delivery
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From successful content pages, rotate a small daily sample rather than checking
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the same first URLs forever. Fetch each sampled URL once normally and once with
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the relevant AI user agent.
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- If the normal request is `200` but the AI request is `403`, `429`, or `451`,
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investigate CDN/WAF/bot-management policy. The controlled user-agent
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difference is stronger evidence than either status alone.
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- If the AI response succeeds, strip scripts, styles, and markup and inspect the
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visible body. Fewer than roughly 200 characters, without full content in
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`Article.articleBody`, is a useful empty-shell tripwire; inspect borderline
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pages rather than treating the number as a universal quality score.
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- Record transient fetch errors as unknown/check errors. Do not turn a failed
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measurement into a claim that the site is blocked or healthy.
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## 4. Fix the serving layer, then verify it
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Prefer server rendering or static rendering. If that is not viable, serve a
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real, fetchable HTML or Markdown content lane from the same source data, with
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correct content negotiation and `Vary` headers. `articleBody` can be a fallback,
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but visible server-delivered content is stronger.
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Re-run both the ordinary and AI-user-agent requests against the public URL.
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Only suppress an empty-body finding when there is positive evidence that an
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alternate readable twin is live for that exact path. A configured twin that
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cannot actually be fetched must not hide a true failure.
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