ai-seo

Audit and improve brand visibility, citation, and recommendation in AI answer systems for the DACH region.

73|4|Updated Aug 7, 2026
One-click install
npx skills add https://github.com/LOGIN-TB/claude-skills --skill ai-seo-login-tb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-seo
Source: https://github.com/LOGIN-TB/claude-skills/tree/main/skills/ai-seo
Command: npx skills add https://github.com/LOGIN-TB/claude-skills --skill ai-seo-login-tb

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Brands increasingly need to appear in AI-generated answers from ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews, but most advice on AI visibility is based on unverified ranking-factor claims. This Skill provides an evidence-based audit workflow that separates retrieval, citation, mention, and recommendation, and checks every claim against primary sources instead of promising visibility. ## Core Features & Use Cases - Reproducible Baseline Measurement: Track prompts across platforms, models, regions, and languages with repeated measurements to expose volatility instead of drawing conclusions from a single answer. - Technical and Crawler Audit: Review indexability, rendered HTML, structured data, and distinguish search crawlers, user-triggered fetchers, and training crawlers by purpose rather than blanket-allowing all AI bots. - DACH Localization: Germany is the default target market, with Austria and Switzerland tested separately, including DSGVO/TDDDG and revDSG review points. - Use Case: A German company wants to know why competitors are recommended by ChatGPT while it is not. The Skill builds a prompt baseline, audits technical extractability and authority signals, and delivers a prioritized 30/60/90-day plan with measurement tables. ## Quick Start Ask the assistant to audit why your brand is not cited in ChatGPT and Perplexity answers for your most important German-language search prompts.

Frequently Asked Questions about ai-seo

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I improve my brand's visibility in ChatGPT and AI Overviews?

Start with a reproducible prompt baseline across platforms, then audit technical accessibility, content extractability, and authority signals. The Skill separates retrieval, citation, mention, and recommendation, and prioritizes fixes by business impact and evidence strength.

What is the difference between AEO, GEO, and LLMO?

All three terms describe optimizing for AI-generated answers rather than classic search rankings. This Skill treats them as one discipline: improving how AI systems retrieve, cite, mention, and recommend a brand, grounded in primary-source evidence.

Should I allow all AI crawlers in robots.txt?

No. Search crawlers, user-triggered fetchers, and training crawlers serve different purposes and should be evaluated separately using current primary documentation. Never change robots.txt without approval and validation.

Does llms.txt improve AI search rankings?

There is no confirmed evidence that llms.txt is a ranking factor for any platform. The Skill treats it only as a measurable accessibility experiment that must stay consistent with visible canonical content.

Can AI visibility results from Germany be applied to Austria or Switzerland?

Not automatically. Platform answers vary by account, model, time, language, and location, so Austria and Switzerland require separate prompt testing with their own terminology, sources, and legal contexts.