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  "title": "GEO: How to Be Cited by ChatGPT, Claude and Perplexity | Hebora",
  "meta_description": "A practical GEO guide for businesses that want to be cited by ChatGPT, Claude, Perplexity and Google AI systems through structure, proof, local relevance and machine-readable content.",
  "h1": "How to make ChatGPT, Claude and Perplexity talk about your business for the right reasons",
  "lead_paragraph": "Generative Engine Optimization sounds fancy, but the practical question is simple: when someone asks an AI system for a recommendation, does your business look real, useful, local and credible enough to be cited? That answer does not come from one trick. It comes from the total picture: your site, your reviews, your structure, your entity consistency and the quality of the evidence around you.",
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  "entities_mentioned": [
    {
      "name": "Hiliyeh Bashir",
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  "headings": [
    {
      "level": 2,
      "text": "GEO is not a hack. It is a trust and structure problem."
    },
    {
      "level": 2,
      "text": "Local intent still matters inside AI recommendations"
    },
    {
      "level": 2,
      "text": "The machine-readable files that actually help"
    },
    {
      "level": 2,
      "text": "Originality matters because models have seen too much mediocre content"
    },
    {
      "level": 2,
      "text": "How we measure whether the work is working"
    },
    {
      "level": 2,
      "text": "Questions clients keep asking"
    },
    {
      "level": 3,
      "text": "What is GEO in plain English?"
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      "level": 3,
      "text": "Can a single file make me visible in ChatGPT?"
    },
    {
      "level": 3,
      "text": "Does GEO replace SEO?"
    },
    {
      "level": 3,
      "text": "How do you measure AI visibility?"
    },
    {
      "level": 2,
      "text": "External references worth checking"
    },
    {
      "level": 2,
      "text": "Want your business to be easier to cite?"
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      "text": "Related pages"
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      "text": "SEO & GEO in Brussels"
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  "sections": [
    {
      "heading": "GEO is not a hack. It is a trust and structure problem.",
      "intro": "Generative Engine Optimization sounds fancy, but the practical question is simple: when someone asks an AI system for a recommendation, does your business look real, useful, local and credible enough to be cited? That answer does not come from one trick. It comes from the total picture: your site, your reviews, your structure, your entity consistency and the quality of the evidence around you."
    },
    {
      "heading": "Local intent still matters inside AI recommendations",
      "intro": "AI systems do not just want a business that says “we are experts”. They want a business that appears grounded: a real geography, real service boundaries, real use cases, real signals. In Brussels that means communes, service type, language context, urgency, availability and tone. A vague page is weak on Google and just as weak in AI answers."
    },
    {
      "heading": "The machine-readable files that actually help",
      "intro": "This is where a lot of people get weird. No, one file will not suddenly make you appear everywhere. But yes, clean machine-readable assets help AI systems understand your business faster and with less ambiguity. The useful stack includes schema.org, AI context files, page-level contexts, llms.txt, a sane sitemap and internal links that do not wander drunk across the site."
    },
    {
      "heading": "Originality matters because models have seen too much mediocre content",
      "intro": "Large models have inhaled an absurd amount of generic text. They are very good at recognizing pages that say a lot without saying anything. What improves your chances is material that sounds like a real business: grounded examples, actual operating details, a visible method, direct opinions, concrete constraints and proof that someone competent is behind the page."
    },
    {
      "heading": "How we measure whether the work is working",
      "intro": "It is not as clean as checking one ranking position in Search Console. Still measurable. Still improvable. Still worth doing if your buyers are already using these systems."
    },
    {
      "heading": "Questions clients keep asking",
      "intro": "It means making your business understandable and cite-worthy for AI systems. Not by gaming them, but by giving them a coherent business they can trust."
    },
    {
      "heading": "External references worth checking",
      "intro": "GEO is not a cheat code. It is the overlap between strong SEO, clean structure, machine-readable clarity and visible proof."
    },
    {
      "heading": "Want your business to be easier to cite?",
      "intro": "We fix the content model, the trust layer and the machine-readable layer together. That is the only version worth paying for."
    },
    {
      "heading": "Related pages",
      "intro": "The wider visibility stack: local search, reviews, Google Business Profile and AI-ready structure."
    }
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  "images": [
    {
      "src": "https://hebora.be/previews/hebora-whiteboard-architecture.jpeg",
      "alt": "Content and entity architecture designed to help AI systems cite the right service pages and proof"
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    {
      "src": "https://hebora.be/previews/hebora-tablette-strategie.jpeg",
      "alt": "Local GEO planning with business category, search intent and location-based page structure"
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    {
      "src": "https://hebora.be/previews/hebora-avis-google.jpeg",
      "alt": "Review signals and reputation consistency used to reinforce AI visibility and business credibility"
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    {
      "src": "https://hebora.be/previews/hebora-code-editor.jpeg",
      "alt": "Technical implementation of AI-readable content, structured data and page context files for GEO"
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