Schema Markup for B2B Websites: The Complete AEO Guide

Schema markup is machine-readable code (specifically, JSON-LD embedded in your page head) that tells search engines and AI crawlers what your content means, not just what it says. Most B2B websites have little or no schema markup, which means AI engines read their marketing copy and try to infer structure from natural language. The result is imprecise categorization, inconsistent citation, and being described in AI answers in ways that do not match your actual positioning.

Adding the right schema to the right pages is the highest-leverage technical change most B2B companies can make for AI visibility. It does not require rewriting your content. It does not require redesigning your site. It requires adding a JSON-LD block to specific pages and keeping it accurate and up to date.

The four schema types that matter most for B2B AEO

Organization schema (homepage)

Organization schema on your homepage is the most important single schema implementation for AI citation purposes. It is the structured data equivalent of telling an AI engine: "Here is who we are, what we do, and what category we belong to." The most important properties to include:

• name: Your company's official name
• description: A specific, accurate description of what you do and who you serve. Write it as a factual summary, not marketing copy (e.g., "B2B data integration platform for enterprise companies running legacy ERP systems")
• url: Your canonical homepage URL
• serviceType: The specific service or product categories you offer
• areaServed: Geographic scope (e.g., "Worldwide" or specific regions)
• sameAs: Links to your official profiles on LinkedIn, G2, Crunchbase. These tie your schema identity to your presence on authoritative third-party platforms

{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Company Name",
  "description": "Specific description of what you do and who for",
  "url": "https://yourcompany.com",
  "serviceType": ["Your Category", "Sub-category"],
  "areaServed": "Worldwide",
  "sameAs": [
    "https://www.linkedin.com/company/yourcompany",
    "https://www.g2.com/products/yourcompany"
  ]
}

FAQPage schema (answer pages)

FAQPage schema is the highest-value schema for your answer and resource pages. It wraps question-and-answer pairs in a format that AI engines specifically recognize as authoritative Q&A content. When a buyer asks an AI engine a question, the engine looks for sources that have answered that exact question. FAQPage schema signals exactly that.

Each FAQ item should match a real question buyers ask during research, with a direct, specific answer (not a teaser that asks them to read more). The question text should be phrased the way a buyer would ask it, not in marketing language. Keep answers concise enough to be useful as citations: two to four sentences per answer is ideal.

FAQPage schema should go on any page that has a dedicated Q&A section, your key resource and guide pages, and any page that directly addresses a specific buyer question.

Article schema (blog posts and guides)

Article schema on your content pages helps AI engines understand that these are authoritative pieces of information produced by a specific publisher. The most important Article schema properties for B2B AEO:

• headline: The article title, ideally phrased as a question or direct answer
• description: A specific summary of what the article covers
• datePublished and dateModified: Publication and update dates. Recency signals matter for AI citation in fast-moving topics
• author and publisher: Organization name and URL to establish the content's source

Service or SoftwareApplication schema (product pages)

For your core product or service pages, Service schema (for professional services companies) or SoftwareApplication schema (for SaaS) tells AI engines specifically what you offer. The description field here should be written for machine extraction: specific, factual, and category-specific. "Enterprise contract lifecycle management software for legal and procurement teams" is extractable. "The most innovative CLM platform on the market" is not.

Common schema mistakes B2B companies make

Generic descriptions in Organization schema. "We help companies grow" or "innovative solutions for modern businesses" gives AI engines nothing to work with. The Organization description is the field AI engines use to classify and categorize you. Make it specific.

Using schema on only the homepage. Organization schema on your homepage establishes your identity. FAQPage schema on your answer pages is what earns citations when buyers ask specific questions. Both are necessary. A company with only Organization schema misses the citation opportunities that come from specific query matching.

Inconsistent descriptions across schema and content. If your Organization schema describes you as "a cybersecurity company for financial services" but your page copy talks about "AI-powered security for any industry," AI engines receive conflicting signals about your category. Keep your schema descriptions consistent with your actual positioning across all pages.

Omitting sameAs links. The sameAs property on your Organization schema creates a web of identity connections that AI engines use to aggregate information about your company from multiple sources. Linking to your LinkedIn, G2, Crunchbase, and relevant directory profiles builds the connected identity that strengthens your overall authority signals.

For the broader picture of what AI engines read beyond schema, see what AI engines actually read on your website. For the complete step-by-step approach to building AI visibility from scratch, see how to get your B2B company recommended by AI.