PILLAR REPORT 03 · GETTING FOUND BY AI SEARCH

Showing Up in Google AI Overviews, ChatGPT & Perplexity with JSON-LD & llms.txt

By LibX.tech — AI For Entrepreneurs (LibX LLC) • Updated October 19, 2026 • 7 Min Read · $497 7-Step Setup
How JSON-LD and llms.txt help AI answer engines read an auto repair, HVAC or med spa website

AI for entrepreneurs means being one of the answers when customers ask AI. Search is changing. A driver with a check-engine light, a homeowner with a dead furnace, or someone booking a first facial now asks ChatGPT, Perplexity or Google AI Overviews instead of scrolling results: "Which auto repair shop near me posts its prices and can see me today?" If the AI can't read your site, it can't mention you.

1. Why AI Answer Engines Can Miss Small-Business Websites

AI crawlers (OAI-SearchBot, PerplexityBot) read pages automatically. When one lands on a slow page-builder site with layers of nested <div> wrappers, a pile of plugins and no structured data about your services, hours or prices, it finds little it can verify. An HVAC company whose service-call fee, hours and service area are written in structured data gives the crawler something it can quote.

2. The Two Files That Make Your Business Readable to AI: JSON-LD + /llms.txt

Every LibX website ships from day one with two machine-readable layers:

  • Multi-Entity JSON-LD Graph: We declare your Organization, ProfessionalService (an auto repair shop, an HVAC or plumbing company, a med spa), OfferCatalog (your approved services with example USD price ranges, such as a brake job, an HVAC service call or a facial) and FAQPage directly in the document head.
  • Root-Level /llms.txt File: A short Markdown file at the root of your domain that lists your services, service area, hours, what makes you different and how to book, written so AI retrieval systems can read it quickly.
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Read Our Live /llms.txt Or Try The AI Receptionist ($497 Setup)

You can read LibX.tech's own live /llms.txt file right now, or try our AI receptionist on the blog hub—both are built into your $497 USD one-time 7-step setup (then $297 USD/month, month-to-month, cancel anytime). If you don't approve the setup before launch, the full $497 comes back.