GEORaiser — Get Cited by ChatGPT, Perplexity & Google AI

Generative Engine Optimization (GEO) is the discipline of optimizing content so it gets cited inside AI-generated answers — from Google AI Overviews to ChatGPT Search, Perplexity, Claude, and Gemini. Research from Princeton, Georgia Tech, and IIT Delhi (KDD 2024, arXiv:2311.09735) demonstrates GEO strategies can boost AI visibility by up to 40%. GEO does not replace SEO — 71.7% of ChatGPT citations come from pages with organic search presence — but it adds a second layer of optimization specifically for AI extraction.

To get cited by ChatGPT and Perplexity, follow these five steps: (1) Allow their crawlers in robots.txt — GPTBot, OAI-SearchBot for ChatGPT and PerplexityBot for Perplexity. (2) Structure content with answer-first headings where each H2 is a question followed by a direct 1–3 sentence answer. (3) Include specific statistics with named sources — adding statistics increases AI visibility by 22% per the Princeton/Georgia Tech GEO study. (4) Implement FAQPage and Organization JSON-LD schema. (5) Build traditional SEO authority, since 71.7% of ChatGPT citations come from pages with organic search presence.

GEO results vary by platform. Perplexity is the fastest — initial improvements appear within 2–4 weeks because it crawls live content in near real time. ChatGPT Search takes longer: initial citations appear 2–4 months post-publication, with consistent AI presence requiring 6–12 months. Google AI Overviews correlate strongly with traditional SEO rankings, which build over 3–6 months. Technical changes (robots.txt, schema, llms.txt) take effect as soon as crawlers re-index your pages.

llms.txt is a plain Markdown file placed at yourdomain.com/llms.txt that guides AI systems to your most important pages — similar to how robots.txt guides search crawlers. Anthropic officially endorsed the llms.txt standard in November 2024, making Claude the first major AI to do so. As of early 2026, no major AI crawlers actively request llms.txt except Claude, but implementation takes under an hour with no downside risk. It provides a forward-looking signal as more AI systems adopt the standard.

Traditional search traffic is declining because AI-generated answers are replacing click-through results. Gartner projects traditional search engine volume will fall 50% by 2028 as users get direct answers from AI assistants. Meanwhile, Google AI Overviews previously cited top-10 organic results ~75% of the time; by early 2026, that dropped to ~38% — the citation pool is widening. This shift is why GEO — optimizing to be cited inside AI answers — has become essential alongside traditional SEO.

AI engines re-crawl and update their knowledge roughly every 2–4 weeks. After implementing GEO fixes (structured data, robots.txt, llms.txt), expect to see citation changes within 30–60 days. Content freshness signals can accelerate this if pages are updated regularly.

GEO applies to any web presence. For local businesses, the most important factors are LocalBusiness schema markup, NAP (name/address/phone) consistency across the web, and clear FAQ content answering “[service] in [city]” questions. AI engines pull local business information from structured data before other sources.

robots.txt controls which AI crawlers can access your site at all — it's the gatekeeper. llms.txt is a navigation guide for AI systems that have already entered: it tells them what your site contains, how it's organized, and which pages are most important. Both are needed. robots.txt blocking AI crawlers is the #1 reason sites get zero AI citations.

Yes. The core GEO requirements (robots.txt, structured data, llms.txt, canonical tags) work on any CMS. WordPress users can use plugins like Yoast or RankMath to manage schema. For Webflow and Squarespace, structured data requires custom code embeds. Our GEO Playbook includes CMS-specific instructions for each platform.

Perplexity uses a combination of: (1) traditional search signals for initial retrieval, (2) semantic relevance matching for query-answer fit, (3) source authority signals like domain age, backlinks, and citation frequency, and (4) structured content that makes answers easy to extract. Pages with explicit claim-evidence-source structure, FAQ schema, and high topical authority in their niche are cited most often.