The way people search for local businesses is changing. A growing share of potential clients now open ChatGPT, Google Gemini, or Perplexity before they even visit Google Search. They ask questions like 'who are the best Brazilian contractors in Miami' or 'which marketing agency serves Brazilian business owners in Florida.' If your business is not structured to appear in those AI-generated answers, you are invisible to this segment. This is not a future trend — it is happening right now.
AI models like ChatGPT and Perplexity do not have access to real-time data in the same way Google does. They are trained on large datasets of web content and then updated periodically. What this means for your business: if authoritative sources on the web — review sites, directories, news articles, your own website — consistently describe your business accurately and positively, that information gets absorbed into the model's knowledge base and surfaces when relevant questions are asked.
Schema markup is code added to your website that tells both search engines and AI crawlers exactly what your business is, what services you offer, where you operate, and who you serve. A LocalBusiness schema with complete information — including service area, languages spoken, and specific services — makes your business significantly more likely to be referenced by AI models answering local queries. Most small businesses have no Schema at all.
A newer protocol called llms.txt allows websites to provide a structured, AI-readable summary of their content. It is the equivalent of a sitemap but for AI models rather than search engine crawlers. Businesses that implement this file give AI models a direct, curated description of who they are and what they do — reducing the chance of being misrepresented or ignored in AI-generated answers.
AI models prefer to cite content that is specific, factual, and well-structured. General marketing copy does not get cited. What does: specific service descriptions with pricing ranges, FAQ-format content that directly answers common questions, case studies with measurable outcomes, and how-to guides that provide genuine utility. Publishing this type of content consistently builds the kind of web presence that AI models reference.
Public review content — on Google, Yelp, and other platforms — is part of the data AI models are trained on. A business with hundreds of detailed, positive reviews across multiple platforms has a much richer presence in that training data than one with a handful of ratings. The businesses that AI models recommend are the ones with the strongest, most consistent web presence.
Getting your business into ChatGPT, Perplexity, and Google Gemini answers requires the same foundation as good SEO — but with additional steps: structured Schema, an llms.txt file, and content designed to be cited rather than just read. Claro Studio implements all of this for Brazilian entrepreneurs in the USA.
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