Use case

Generative Engine Optimization (GEO)

Make your site citable by ChatGPT, Claude, Perplexity, and Gemini.

Who this is for

Marketing leads, founders, and SEO operators adapting to AI search

GEO is the practice of making content visible and citable inside AI answer engines. It combines crawler access, structured data, citable facts, and llms.txt into a single discipline.

Outcomes

  • Your site appears as a cited source in ChatGPT and Perplexity answers
  • Clean entity graph (Organization, sameAs, Person) that LLMs can resolve
  • llms.txt and structured data that match what crawlers actually read

What GEO actually is

GEO — Generative Engine Optimization — is the next layer on top of SEO. Where SEO optimises for a ranked list of links, GEO optimises for being cited inside an AI-generated answer. The mechanics overlap (clean HTML, fast SSR, good structured data) but the success metric is different: are you named as a source?

The WolfAI GEO stack

A serious GEO setup ships: SSR content so crawlers read the page without JavaScript, robots.txt that explicitly allows GPTBot, ClaudeBot, PerplexityBot, and Google-Extended, llms.txt with canonical facts, schema.org Organization with sameAs to verified social profiles, and content that includes citable numbers, dates, and named entities. This site implements all of that — see /llms.txt for the live version.

What does not work

Stuffing keywords, hiding content behind React hydration, or relying on client-side-only rendering. AI crawlers mostly do not execute JavaScript; if your value proposition is only visible after hydration, you will not be cited.

Related products

Models typically involved

Frequently asked questions

What is generative engine optimization?

Generative engine optimization (GEO) is the practice of making a website visible and citable inside AI answer engines such as ChatGPT, Claude, Perplexity, and Gemini. It covers crawler access, structured data, llms.txt, and citable content.

How is GEO different from SEO?

SEO optimises for ranking in a list of blue links. GEO optimises for being cited inside a generated answer. They share foundational work (SSR, structured data, clean HTML) but the final metric is citation frequency, not ranking position.

Do I need an llms.txt file?

It is not strictly required, but a clean llms.txt gives AI crawlers an authoritative canonical summary of your site. It is cheap to add and removes ambiguity about which surfaces are meant to be cited.