What does the seo-geo skill do?

Analyzes content for Generative Engine Optimization signals — brand-mention surface area, AI crawler accessibility, llms.txt compliance, passage-level citability — across AI Overviews, ChatGPT web search, and Perplexity.

When should I use the seo-geo skill?

Use when traditional Google rankings aren't translating into AI search citations, when AI Overviews quote competitors instead of you, or when launching content specifically for AI-first audiences.

Skills wiki

seo-geo

Generative Engine Optimization analysis for AI Overviews, ChatGPT web search, and Perplexity — covering brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization.

Make content citable by AI search engines, not just Google

Source AgriciDaniel

License MIT

First documented 2026-04-28

Marketing SEO

Trigger phrases

Phrases that activate this skill when typed to Claude Code:

AI Overviews
GEO
AI search
Perplexity optimization
AI citations

What it does

seo-geo is a Claude Code skill from AgriciDaniel’s claude-seo repo. It scores content for Generative Engine Optimization — the emerging discipline of optimizing for AI-generated answers rather than traditional blue-link rankings. The skill covers five scoring dimensions: citability (25%), structural readability (20%), multi-modal content (15%), authority and brand signals (20%), and technical accessibility for AI crawlers (20%).

Key findings the skill surfaces: whether AI crawlers (GPTBot, ClaudeBot, PerplexityBot) are allowed in robots.txt; whether an /llms.txt file exists and is structured correctly; whether content contains self-contained 134–167 word answer blocks that AI systems can extract and cite; and whether the brand has presence on the platforms AI systems source from (YouTube 0.737 correlation, Reddit, Wikipedia). The skill notes that only 11% of domains are cited by both ChatGPT and Google AI Overviews for the same query, making platform-specific optimization meaningful.

When to use it

Reach for it when:

You want to understand whether your content is structured to appear in AI Overviews or get cited by ChatGPT web search
You are adding an /llms.txt file and want to know what else to fix for AI crawler accessibility
Traditional rankings are strong but AI-referred sessions are low

When not to reach for it:

The site is brand new with no rankings or brand presence; AI systems preferentially cite sources with existing topical authority and social signals
You need live AI citation data — use seo-dataforseo ai-mentions for that; this skill does static analysis of the page structure

Install

Copy the seo-geo SKILL.md into .claude/skills/seo-geo/.

Trigger phrases: “AI Overviews”, “SGE”, “GEO”, “AI search”, “LLM optimization”, “Perplexity”, “AI citations”, “ChatGPT search”, “AI visibility”.

Invoke with /seo geo <url> for a full GEO analysis. DataForSEO integration is optional — if available, the ai_optimization_chat_gpt_scraper and ai_opt_llm_ment_search tools provide real citation data rather than inferred scores.

What a session looks like

A typical session has three phases:

AI crawler and access audit. The skill checks robots.txt for the nine known AI crawlers, flags which are blocked vs allowed, checks for /llms.txt presence and structure, and checks for RSL 1.0 (Really Simple Licensing) implementation.
Citability and structure scoring. The page is analyzed for self-contained answer blocks at optimal length, question-based headings, direct definition patterns (“X is…”), specific statistics with attribution, and structured data presence — all signals that correlate with AI citation behavior.
Brand mention analysis and platform breakdown. Scores are broken down by platform: Google AI Overviews (sources from top-10 organic), ChatGPT (Wikipedia 47.9%, Reddit 11.3%), Perplexity (Reddit 46.7%), and Bing Copilot. Top 5 highest-impact changes are ranked, with quick wins (add definitions in first 60 words, add question-based H2s) separated from high-impact work (build Wikipedia presence, build YouTube channel).

Receipts

Works well: The AI crawler audit is genuinely useful even if you never touch the citability scoring — finding out that GPTBot or PerplexityBot is blocked in your robots.txt is an actionable fix that can be made in minutes, and it’s something most site owners haven’t deliberately configured.

Backfires: The brand mention analysis (YouTube presence, Reddit presence, Wikipedia) identifies the highest-correlation signals for AI visibility, but building them takes months of work. The quick-win items in the skill are faster, but the high-impact ones require sustained effort that no tool can accelerate.

Pattern that works: Pair this skill with seo-content — E-E-A-T improvements and GEO improvements overlap substantially. Answer-first formatting, specific statistics with attribution, and clear authorship help both traditional quality raters and AI citation systems.

Source and attribution

Originally written by AgriciDaniel. The canonical SKILL.md and supporting files live in the seo-geo folder of the claude-seo repository.

License: MIT. Install, adapt, and redistribute with attribution preserved.

This page documents the skill from a practitioner’s perspective. For the formal spec and updates, defer to the source repo.