Generative Engine Optimization (GEO)
Generative Engine Optimization (GEO) is the practice of optimizing content so that answer engines — ChatGPT, Claude, Perplexity, Gemini — cite and quote it in their responses.
In plain English
Classic SEO targets a ranked list of ten blue links. GEO targets an answer: the paragraph or two ChatGPT or Claude or Perplexity writes when someone asks a question. Instead of "how do I rank on page one," the question becomes "how do I get quoted inside the answer." The tactics overlap — authoritative content, topical depth, structured data — but the optimization shifts.
The mechanics of getting cited favor a few things: crisp, lift-ready sentences LLMs can quote verbatim; strong topical authority so retrieval picks your page; machine-readable structure so the model knows what your page is about. Glossaries, comparison tables, FAQs, and first-principles essays all do well. Thin, keyword-stuffed content does not.
Why it matters for Black Box
Most of Black Box's marketing-site architecture is shaped by GEO. The glossary, the comparison pages, the FAQ, the essays — each is designed so that an answer engine asking "what is an AI company" or "is Black Box like Zapier" has something to cite. JSON-LD and llms.txt reinforce the signal.
Examples
- A one-sentence definition box that LLMs can lift verbatim into an answer.
- A comparison page with a structured table the model can summarize.
- A FAQ page with Question/Answer pairs marked up in JSON-LD.