Resources
Playbooks for AI visibility
Practical guides to llms.txt, schema, citations, Perplexity and ChatGPT visibility, and measuring the result.
Guides
6 guides
The Complete Guide to AI Visibility
What AI visibility is, why it matters now, and the shift from traditional SEO to GEO.
Understanding llms.txt
What llms.txt is, how to create one, and exactly why it helps AI engines understand your business.
Schema Markup for AI Engines
How JSON-LD structured data helps ChatGPT, Claude, and Gemini understand and cite your business.
How to Get Cited by ChatGPT
Specific content strategies and page structures that correlate with ChatGPT citations.
Perplexity SEO: Getting Found in AI Search
How Perplexity sources content differently from other AI engines and what to optimize for.
Measuring AI Visibility ROI
How to track, report, and prove the business impact of AI visibility improvements using GA4.
Questions
What's the difference between SEO and AI visibility?
Traditional SEO optimizes for search engine crawlers that rank pages by keywords and backlinks. AI visibility (sometimes called GEO) is about how language models describe and recommend your brand when someone asks a question. The two overlap, but they are not the same measurement problem.
How often should I audit my AI visibility?
Monthly for most businesses, and more often in competitive categories. AI models and their sources change frequently, so scores can shift without any change on your side.
Do I need to test all five AI engines?
Start with the engines your audience uses and compare the same prompts over time. AgentReady supports up to five providers (ChatGPT, Claude, Gemini, Perplexity and Grok); coverage varies by scan type and provider availability.
Do I need to be technical to benefit?
No. You can begin by making your public product, About and FAQ content clear and verifiable. Structured data and llms.txt may need technical review, and neither guarantees a particular result.
Put the guides to work
Check your score, then track what changes.