AI SEO & GEO — get them
citing you, not your competitors

What is GEO and why classic SEO is no longer enough

GEO — Generative Engine Optimization — is optimizing content so that AI engines choose to cite it in the answers they generate. In the old world, the goal was to reach the first spot on Google to get a click. In the new world, a growing share of searches ends in anAI answer — the user gets a summarized answer and does not necessarily click a source.

This does not mean SEO is dead — it has expanded. AI engines still pull sources from the Google/Bing index and from dedicated crawlers. But what makes you get chosen as a cited source is slightly different from what made you rank high. GEO is the new optimization layer on top of SEO — not instead of it.

How AI engines choose which sources to cite

Modern AI engines work with RAG: they retrieve relevant documents in real time, then generate an answer based on them, with citations. To be chosen, your content must pass three stages:

Writing content that AI engines love to cite

GEO research shows a consistent pattern: content thatanswers directly, is backed by facts and clearly structured gets cited far more. Here are the practical principles:

Answer the question in the first sentence

AI engines love extractable answers. Open every section with a direct, concise answer, and only then expand. A structure of question → short answer → explanation (exactly like FAQ items) is gold for GEO.

Back it up with facts, numbers and citations

• Specific data — "saves 12 hours a week" beats "saves tons of time". Models prefer to cite verifiable claims.
• Cite sources — linking to research or an authoritative source raises the authority and the likelihood of being chosen.
• Freshness — add a visible update date. AI engines prefer fresh sources for time-sensitive questions.
• Clear entities — name the full names of tools, companies and concepts. This helps the model link your content to the right entity (Entity SEO).

A structure that machines can read too

• Descriptive H2/H3 H2/H3 headings that phrase a question or topic — not clever marketing headlines.
• Lists and tables for comparable data. Models extract from them easily.
• Short paragraphs (2–4 sentences) — easy to split into chunks at retrieval time.
• An FAQ section at the bottom with real questions people ask.

Technical GEO — making the content accessible and understandable

If the crawler cannot read or understand the page, no brilliant content will help. The technical foundation:

• Content in HTML, not just JS — make sure the main text exists in the initial HTML (SSR/SSG). Some AI crawlers do not run JavaScript.
• A permissive robots.txt for AI bots — do not block GPTBot/PerplexityBot/Google-Extended if you want exposure.
• Speed and accessibility — healthy Core Web Vitals, semantic HTML, alt text for images. These are still quality signals.
• hreflang for multilingual content — AI engines serve an answer in the user's language; link the versions so the right one is chosen.

llms.txt and Structured Data

Two technical techniques that speak directly to AI engines:

llms.txt — a roadmap for models

llms.txt is a Markdown file at the site root that gives LLMs a clean overview of your important content and links to it — instead of having to guess from cluttered HTML. It is an emerging standard, and easy to add:

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Schema.org — structured context

Structured data (JSON-LD) helps engines understand what the page represents. The most relevant for GEO:

• Article / BlogPosting — with clear author, datePublished andpublisher .
• FAQPage — turns Q&A sections into ready-to-cite chunks.
• Organization — defines your brand entity with a logo, sameAs and profiles.
• BreadcrumbList — helps understand the site structure and hierarchy.

Measuring AI visibility

You cannot improve what you do not measure. Unlike Google rankings, AI visibility is dispersed — but there are ways to track it:

• Manual checks — ask ChatGPT/Perplexity/Gemini questions from your field and see who gets cited. Log it monthly.
• GEO tracking tools — Otterly, Peec, Profound and Scrunch track mentions of your brand in AI answers over time.
• Crawler logs — track GPTBot/PerplexityBot visits in your server logs to know what was crawled.
• Referral traffic — Perplexity and ChatGPT send clicks; filter in Analytics by source to identify AI traffic.

A GEO checklist for immediate action