GEO: how ChatGPT and Perplexity find your business — or don't

In 2026, a significant share of business searches use an AI interface: ChatGPT, Perplexity, Google AI Overviews, or Bing Copilot. These systems work differently from a classic search engine: they synthesise information from multiple sources and present an answer — without sending the user to your site, unless your content is cited as a source.

What AI models read differently

Classic SEO optimises for keywords, backlinks, and technical crawlability. GEO optimises for source value: is your content factually accurate, well-structured, unique in perspective, and easy to cite? AI models select sources based on authority, clarity, and the scalability of the information.

llms.txt: the robots.txt for AI

A growing number of websites implement an llms.txt file — a human-readable document that tells AI crawlers directly who you are, what you do, and which pages are relevant. It is not a formal standard, but major AI platforms honour it.

Structured data as direct input

JSON-LD schema markup (Organization, Service, FAQ, Article) is read by AI systems as structured facts. Correctly implemented schema increases the chance that your business is cited in an AI answer to a relevant business query.

Practical GEO checklist

Ensure your website has an llms.txt with your core identity, services, and service region. Implement Organization and Service schema on all relevant pages. Write content that answers questions in one paragraph — AI models cite compact, direct answers. Avoid vague brand language; use concrete facts, prices, and processes.

What Qovre has already done

Our own website has a comprehensive llms.txt, full schema implementation, and GEO-optimised content on all service and city pages. We apply the same approach for clients.