GEO SEO Suite: Optimize for AI Search Engines

Google used to send you traffic. Now ChatGPT, Perplexity, and Gemini answer the question directly and your site never gets a click. Forty-seven percent of searches now end with zero clicks, and that number climbs every quarter. The rules that governed SEO for two decades — backlinks, keyword density, meta descriptions — simply do not determine whether an AI model cites your content. A different optimization discipline has emerged, and it has a name: Generative Engine Optimization, or GEO.

The GEO SEO Suite is an open-source Claude Code skill with over 5,000 GitHub stars that packages 13 specialized sub-skills into a single install. It gives you the tooling to audit, score, and optimize your site for the engines that actually shape buying decisions in 2026.

Key Takeaways

• AI search engines cite passages, not pages. Content between 134 and 167 words in a single block hits the citation sweet spot for ChatGPT, Perplexity, and Gemini.
• 14+ AI crawlers now exist. GPTBot, ClaudeBot, PerplexityBot, GoogleOther, and others each have distinct crawl behaviors and access requirements. Blocking one costs you visibility on that platform.
• Traditional SEO and GEO overlap by about 30%. Technical health matters for both, but GEO adds citability scoring, llms.txt configuration, and AI-specific schema markup that PageRank never considered.
• One install command gives you 13 sub-skills. Full audit, citability scoring, crawler analysis, brand mentions, platform optimizer, llms.txt generator, schema markup, technical SEO, content quality, PDF reports, prospect CRM, progress tracking, and proposal generation.
• The skill is MIT-licensed and actively maintained. Built by Zubair Trabzada and the open-source community, with regular updates tracking new AI crawler behavior.

Why GEO Matters Now

Traditional SEO optimized for a list of ten blue links. You fought for position one because position one captured roughly 27% of clicks. GEO operates in a fundamentally different environment. When a user asks ChatGPT "What is the best project management tool for remote teams?", the model synthesizes an answer from its training data and any retrieved sources. Your content either gets cited in that answer or it does not exist.

The shift is structural, not incremental. AI search engines evaluate content on three axes that traditional SEO largely ignores:

1. Citability — Is there a self-contained passage that directly answers a question? Models prefer quoting discrete blocks over extracting fragments from rambling paragraphs.
2. Authority signals — Does the content demonstrate first-hand experience, expertise, and trustworthiness? AI models weight E-E-A-T signals heavily when selecting which source to cite.
3. Machine readability — Can the AI crawler access, parse, and understand the content structure? This goes beyond robots.txt into llms.txt files, JSON-LD markup, and clean semantic HTML.

If you have been following our coverage of AI-driven content strategy, you know that the gap between traditional and AI-optimized content is widening fast. The GEO SEO Suite closes that gap with concrete, measurable tooling.

The 13 Sub-Skills, Explained

The suite is organized into discrete sub-skills that can run independently or as part of a full audit. Here is what each one does.

Full GEO Audit

The orchestrator. It delegates work to every other sub-skill, runs them in parallel where possible, and produces a composite report with an overall GEO readiness score from 0 to 100.

Citability Scoring

This is the sub-skill that changes how you write. It analyzes every page and scores individual passages on their likelihood of being cited by an AI model. Research shows that passages in the 134 to 167 word range are the sweet spot — long enough to be substantive, short enough to be quotable. The scorer flags passages that are too long, too vague, or missing the factual density that models look for when selecting citations.

AI Crawler Analysis

There are now 14 or more distinct AI crawlers traversing the web: GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot, GoogleOther, Google-Extended, Applebot-Extended, Bytespider (ByteDance), CCBot, FacebookBot, and others. Each has different user-agent strings, crawl frequencies, and robots.txt conventions. This sub-skill checks your robots.txt, meta tags, and HTTP headers to build a complete access map showing exactly which AI systems can and cannot reach your content.

Brand Mentions

Scans your presence across platforms that AI models rely on for entity recognition — Wikipedia, GitHub, Stack Overflow, Reddit, industry directories, and news outlets. It produces a Brand Authority Score from 0 to 100 with platform-specific recommendations for increasing your visibility to AI training and retrieval pipelines.

Platform Optimizer

Each AI search engine has quirks. Google AI Overviews favor structured data and direct answers. ChatGPT Search weights recency and source diversity. Perplexity prefers pages with clear citations and references. This sub-skill generates platform-specific optimization checklists tailored to the engines that matter most for your audience.

llms.txt Generator

The llms.txt specification is an emerging standard — a machine-readable file that tells AI systems what your site is about, how it is structured, and which pages are most authoritative. This sub-skill crawls your site and generates a compliant llms.txt file from scratch, or validates and improves an existing one.

Schema Markup

Goes beyond basic JSON-LD. It audits existing structured data, identifies gaps, and generates AI-optimized schema including FAQPage, HowTo, Article, Organization, and Product types. These markup patterns help AI models parse your content with higher confidence.

Technical SEO

Covers the foundation: crawlability, indexability, security headers, performance metrics, server-side rendering detection, and mobile responsiveness. While these factors overlap with traditional SEO, the sub-skill adds AI-specific checks like verifying that JavaScript-rendered content is accessible to AI crawlers that may not execute client-side code.

Content Quality

Evaluates E-E-A-T signals: experience markers, expertise indicators, authoritativeness cues, and trust elements. Checks for author bios, publication dates, citations, data sources, and the kind of first-hand evidence that AI models prioritize when selecting sources. For a deeper look at how content structure affects skill design, see our guide on the anatomy of an effective skill.

PDF Report Generation

Produces a polished, client-ready PDF with score gauges, bar charts, platform readiness visualizations, color-coded tables, and prioritized action plans. Designed for agencies and consultants who need to present GEO findings to stakeholders.

Prospect CRM

A lightweight CRM built into the skill for managing GEO agency prospects. Track leads through a pipeline — Lead, Qualified, Proposal Sent, Won, Lost — with audit history, notes, and deal values attached to each prospect.

Progress Tracking

Compares two audits over time (baseline versus current) and calculates score improvements across every category. Generates a progress report showing what has improved, what has regressed, and which action items are still outstanding.

Proposal Generation

Auto-generates a professional service proposal from audit data, complete with executive summary, findings, recommended packages (Basic, Standard, Premium), pricing, timeline, and terms. Useful for freelancers and agencies selling GEO services.

GEO vs Traditional SEO: What Changes

The two disciplines share a foundation — fast, secure, well-structured sites perform better for both. But GEO adds an entire layer of optimization that traditional SEO tools do not address. If your current workflow relies on Ahrefs or Semrush alone, you are optimizing for a shrinking share of how people find answers.

Installing and Running the Suite

The GEO SEO Suite installs with a single command:

curl -fsSL https://raw.githubusercontent.com/zubair-trabzada/geo-seo-claude/main/install.sh | bash

Once installed, you can run any sub-skill as a slash command in Claude Code. Start with a full audit to get your baseline score, then use individual sub-skills to address specific gaps. The skill works with any website — static sites, Next.js apps, WordPress, Shopify, or custom stacks.

For context on how skills like this are structured and distributed, our overview of skill composability patterns explains the architecture behind multi-skill suites.

Frequently Asked Questions

Does GEO replace traditional SEO? No. GEO builds on top of a solid SEO foundation. Sites that load slowly, lack HTTPS, or have broken sitemaps will underperform in both traditional and AI search. Think of GEO as an additional optimization layer for the AI-driven discovery channel.

How do I know if AI search engines are citing my content? The GEO SEO Suite's progress tracking sub-skill monitors your AI visibility over time. You can also manually check by asking ChatGPT, Perplexity, or Gemini questions relevant to your content and observing whether your site appears in citations. Platform-specific monitoring tools are emerging but still maturing.

What is the citability sweet spot and why does word count matter? AI models tend to cite self-contained passages that are between 134 and 167 words. Shorter passages lack enough substance to be authoritative. Longer passages force the model to extract and truncate, which reduces citation likelihood. The citability scorer identifies passages outside this range and suggests restructuring.

Can I use this skill for client work? Yes. The suite includes PDF report generation, a prospect CRM, progress tracking, and proposal generation — all designed for agencies and consultants who sell GEO services. The MIT license permits commercial use without restriction.

How often should I run a GEO audit? Monthly is a good cadence for active sites. AI crawler behavior and platform algorithms change frequently. The progress tracking sub-skill is designed for monthly comparisons, giving you a clear view of what improved and what needs attention.

Start Optimizing for AI Search

The window for early-mover advantage in GEO is still open. Most sites have not optimized for AI citation, which means the teams that start now will capture disproportionate visibility as AI search volume continues to grow. The GEO SEO Suite gives you 13 production-grade tools to audit, optimize, and track your progress — all from inside Claude Code.

View the full skill details on the GEO SEO Suite skill page, explore the source on GitHub, or browse the complete collection of production-ready AI skills at aiskill.market/browse. If you have built a GEO-related skill of your own, submit it to the marketplace and join the growing ecosystem.