GEO: Make ChatGPT, Claude and Perplexity Recommend Your Business
Your next customer may never see a results page. They will ask an AI assistant — "who offers an AI receptionist with a free CRM?" — and the assistant will answer with two or three names. GEO (generative engine optimization) is the discipline of being one of those names.
Search is becoming an answer
A growing share of buying research now happens inside ChatGPT, Claude, Perplexity, Gemini and Google's AI Overviews — where the assistant answers directly and many users never click through at all. Classic SEO gets you ranked; GEO gets you *quoted*. You need both.
What LLMs reward
AI systems recommend what they can confidently parse and repeat:
- Plain statements of fact — "OpperatorAI includes an AI Receptionist answering in 100+ languages from $49/month" is quotable; vague slogans are not
- Question-and-answer structure — FAQ pages map one-to-one onto how assistants respond (ours carries 200+ answers for exactly this reason)
- Schema markup — structured data that tells machines precisely what you offer, for whom, at what price
- Entity consistency — the same name, description and offer across your site, LinkedIn, directories and reviews. Consistent entities get recommended; contradictory ones get skipped
- Third-party corroboration — when reviews and articles repeat what your website claims, the model treats it as established fact
The technical checklist
Clean semantic HTML, logical headings, no critical information trapped in images or scripts, AI crawlers allowed, and emerging conventions like llms.txt pointing to your key pages. If a machine can parse it in one pass, an AI can cite it.
Test it monthly
Ask the assistants what your customers would ask. If your business doesn't appear, your website isn't speaking their language yet — and every month you wait, a competitor's is.
The brands LLMs trust today become the default answers of the next five years.