How to Improve AI Visibility

Check your robots.txt for rules blocking GPTBot, Google-Extended, anthropic-ai, PerplexityBot, or similar AI crawler user agents. If any are blocked with Disallow: /, open access. This is the single most common issue and the one with the highest leverage — a blocked crawler can't learn what you offer at all.

# Remove or modify rules like these:
User-agent: GPTBot
Disallow: /

User-agent: Google-Extended
Disallow: /

# Replace with:
User-agent: GPTBot
Allow: /

Product schema with Offer (price, currency, availability) gives AI systems explicit, machine-readable facts about what you sell. Without it, AI has to infer from page text — and often gets it wrong or doesn't cite you. This is the most common P0 finding on ecommerce sites.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "Product Name",
  "brand": { "@type": "Brand", "name": "Your Brand" },
  "sku": "SKU-001",
  "gtin13": "9780000000000",
  "offers": {
    "@type": "Offer",
    "price": "99.00",
    "priceCurrency": "USD",
    "availability": "https://schema.org/InStock"
  }
}
</script>

Organization schema tells AI systems who you are — your name, website, what you do, and how to categorise you. Include sameAs links to your LinkedIn, G2, Crunchbase, and other profiles to build entity consistency across sources.

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Company",
  "url": "https://yoursite.com",
  "description": "What you do in one clear sentence",
  "sameAs": [
    "https://www.linkedin.com/company/yourcompany",
    "https://g2.com/products/yourproduct"
  ]
}

An llms.txt file at yoursite.com/llms.txt gives AI engines a structured index of your most important pages, grouped by section. Use our free generator — it reads your sitemap and builds the file automatically.

FAQPage schema wraps the questions and answers on your page in machine-readable format. AI systems pull directly from FAQ schema when answering buyer queries. Identify the top 5–10 questions buyers ask about your product and add them with structured answers to your homepage, product pages, and pricing page.

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [{
    "@type": "Question",
    "name": "What does [product] do?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "Specific, clear answer..."
    }
  }]
}

AI systems pull from pages that directly answer comparison and use-case queries. Create pages that address: '[Your product] vs [Competitor]', 'Best [category] for [use case]', and '[Your product] for [audience type]'. These are the queries buyers ask AI during the consideration phase — and where most sites have zero content.

GTIN (Global Trade Item Number) is required for Google Merchant Center eligibility and is a strong AI product-matching signal. For physical products, ensure every product page has a valid GTIN (UPC, EAN, or ISBN) in both the HTML and Product schema. Missing GTINs block ~74% of products from Merchant Center.

AI systems retrieve from sources they trust. Create and optimise your presence on the platforms most relevant to your category: G2 or Capterra (SaaS), TrustPilot or Reviews.io (ecommerce), Clutch (agencies), Product Hunt (new products), LinkedIn company page. Ensure your company description, category, and audience language is consistent across all of them.

AggregateRating schema makes your review scores machine-readable — AI systems can reference them when discussing your product's trustworthiness. Add it to product pages, your homepage (if you have overall company reviews), and any page that displays star ratings.