Frequently asked questions about GEO and our platform.
Generative Engine Optimization (GEO) is the practice of optimizing website content for AI-powered search engines like ChatGPT, Claude, Perplexity, and Google AI Overviews. Unlike traditional SEO which optimizes for ranking in search results lists, GEO optimizes for being quoted, referenced, or recommended by AI assistants.
SEO optimizes for keyword rankings and backlinks. GEO optimizes for AI citability, entity recognition, brand authority across platforms, and structured data that AI systems can parse and extract. They complement each other — you need both for maximum visibility.
Use our free AI Crawler Checker tool. Enter your URL and we'll analyze your robots.txt for 14+ AI crawlers including GPTBot, ClaudeBot, PerplexityBot, and Google-Extended, showing which are allowed, blocked, or not mentioned.
GEO scores range from 0-100. A score of 75+ is considered strong. Scores are based on six dimensions: citability, brand authority, content quality (E-E-A-T), technical foundations, structured data, and platform optimization.
Yes, we offer a Free plan with 5 audits per month. Pro ($49/mo) includes 50 audits and PDF reports. Agency ($149/mo) includes unlimited audits, white-label reports, and API access.
No. Our Quick Audit feature lets you enter any URL and get an instant GEO score without creating an account. You get 3 free checks per day. Create an account to save results and access the full report.
When you run an audit, we only store the URL and generated results. We do not permanently store page contents. We use Stripe for payment processing and do not sell your personal data.
Yes. The Agency plan is designed for agencies managing multiple client websites. It includes white-label PDF reports, a CRM pipeline for tracking prospects, and API access for automated reporting.
llms.txt is an emerging web standard that helps AI crawlers understand your site structure. Placed at /llms.txt on your domain, it provides a curated list of your most important pages with descriptions. We have our own llms.txt at /llms.txt.
Yes, the project is open source under MIT License. You can self-host using Docker or Coolify. Check the GitHub repository for deployment instructions.
