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/seo-geo

@ff87fce
by Agrici.Danielagricidaniel/claude-seo18k stars
2,665

Audit and improve content for AI Overviews and answer engines, including citability, entity clarity, crawler access, brand signals, and passage structure.

Use this Skill: https://skilld.dev/gh/agricidaniel/claude-seo/seo-geo

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referencesllmstxt-evidence.md

≈827 tokens on demand. Your agent reads this file only when SKILL.md points to it.

/llms.txt: evidence-based reframe (June 2026)

TL;DR

/llms.txt is not currently consumed by any major AI search system, and Google now states in its own docs that Google Search ignores it. Generate one anyway as low-cost optionality for non-Google AI services, but never present it as a Google ranking or citation lever in any claude-seo report.

Primary-source evidence

Source Date What they said
Google AI optimization guide (docs) note added 2026-06-15; page updated 2026-07-10 "You don't need to create new machine readable files, AI text files, markup, or Markdown to appear in Google Search (including its generative AI capabilities), as Google Search itself doesn't use them." Creating llms.txt for other systems "will neither harm nor help your site's visibility or rankings in Google Search, as Google Search ignores them."
John Mueller (Google) 2026 Called the llms.txt discovery/differentiation use case "a dead end."
John Mueller (Google), Reddit + Bluesky 2025 "No AI system currently uses llms.txt." Compared the file to deprecated meta keywords.
Gary Illyes (Google), Search Central Live July 2025 Google has no plans to support llms.txt.
SE Ranking, 300k-domain study November 2025 Among the 50 most AI-cited domains, only one had an /llms.txt.
OtterlyAI, server-log audit 2025 0.1% of AI-bot traffic targets /llms.txt (84 of 62,100 requests).
Anthropic, Stripe, Cloudflare, NVIDIA, published files 2024–2025 All publish llms.txt. None have stated their crawlers consume third-party llms.txt files.

Where it does matter

llms.txt is increasingly consumed by AI coding agents (Cursor, Continue, Cline, Claude Code) when loading per-library documentation. Mintlify auto-generates /llms.txt and /llms-full.txt for thousands of developer-docs sites. For a developer-tooling site, publishing llms.txt is a net win; it helps agents quote the docs accurately.

For a non-developer business site, the value is purely defensive: zero cost, possible future-optionality if a major AI provider eventually adopts it.

How claude-seo treats llms.txt

  • seo-geo audits report presence of /llms.txt and /llms-full.txt.
  • The audit notes whether the file is well-formed (Mintlify-style markdown).
  • The audit explicitly does not assign citation-ranking weight to it.
  • If the user asks to generate one, claude-seo produces a minimal valid example and a banner stating "Google Search ignores llms.txt (Google docs, 2026-06-15); no major LLM provider has confirmed consumption; ship for non-Google optionality, not for citation".

When this guidance changes

Update this file (and the seo-geo audit copy) when:

  • Any major AI search system (Google AI Overviews, ChatGPT Search, Perplexity, Bing Copilot) publishes documentation confirming llms.txt consumption.
  • OtterlyAI or SE Ranking publish a follow-up study showing a measurable inflection in /llms.txt request rate.
  • John Mueller / Gary Illyes / equivalent retract their 2025 statements.

Last verified: 2026-09-23. Lighthouse's Agentic Browsing category does score llms.txt (see seo-agentic); that is a lab check, not a Google Search signal.

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub1d

    The seo-geo skill performs content audits for AI search engines. It includes functionality to check for SEO updates via internal scripts and processes user-provided URLs, which introduces a surface for indirect prompt injection from external site content. No malicious behavior was detected.

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    Risk: MEDIUM · 1 issue

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    Score: 93/100 · 2 sections analyzed

Signed by skilld at ff87fce. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 3 days ago.

Activeupdated 3 days ago
user-invocable
true
argument-hint
[url]
metadata
{
  "author": "AgriciDaniel",
  "version": "2.4.1",
  "category": "seo"
}
  • SEO
  • ai-search
  • geo
  • ai-overviews
  • chatgpt
  • perplexity
  • content-optimization
  • brand-mentions
  • citability

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Analyzes web content for AI search visibility across Google AI Overviews, ChatGPT, and Perplexity by scoring citability, structural readability, brand mentions, and AI crawler access. Focuses on passage-level optimization (134-167 word citable blocks) and platform-specific citation patterns rather than traditional SEO metrics.

Generated from the current SKILL.md.

Does this skill work with platforms other than Google AI Overviews?
Yes. The skill analyzes optimization for Google AI Overviews, Google AI Mode, ChatGPT web search, Perplexity, and Bing Copilot. Each platform has different citation sources and optimization priorities — the skill provides platform-specific scores and recommendations for each.
What's the difference between AI Overviews and AI Mode?
Google AI Overviews are ranking-correlated and cite pages that already rank well in traditional search. AI Mode uses Gemini 3.5 Flash and draws from a broader pool where freshness and entity authority matter more than ranking position. They cite the same URLs only 13.7% of the time for identical queries.
Does this skill check for server-side rendering?
Yes. The skill analyzes whether content is server-side rendered or client-only JavaScript. AI crawlers do not execute JavaScript, so the skill flags JavaScript-dependent content as inaccessible to AI indexing.
What's the optimal content length for AI citations?
Passage-level citability is strongest between 134-167 words, with the direct answer front-loaded in the first 40-60 words of a section. About 44% of AI citations come from content in the first 30% of a page.
Does brand presence matter more than backlinks for AI visibility?
Yes. Brand mentions correlate 3x more strongly with AI citations than backlinks. YouTube mentions show the highest correlation (~0.737), followed by Reddit and Wikipedia, while domain rating (backlinks) correlates weakly (~0.266).

Generated from the current SKILL.md. These answers refresh after source changes.