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Playbook

structured data for AI discovery for B2B crypto companies

A practical playbook for B2B crypto marketers to improve structured data—with checks, fixes, and measurement.

Why structured data matters in B2B crypto

B2B crypto marketers cannot win AI shortlists on content alone if structured data is broken. Whether commercial pages expose accurate JSON-LD and related markup so AI systems and search engines can parse entities, products, FAQs, and organization facts.

In B2B crypto, common blockers include: Glossary and FAQ pages are absent; Brand mentions are generic without citations; Open-web retrieval prefers aggregator domains. Directories and affiliate roundups frequently outrank product sites in AI retrieval unless you ship first-party evidence.

What to check

  1. Organization and WebSite JSON-LD consistent with on-page branding
  2. FAQPage or HowTo markup only where visible FAQ/HowTo content exists
  3. Product, SoftwareApplication, or Service types on commercial pages when accurate
  4. No conflicting schema that invents ratings, prices, or claims not on the page

B2B crypto-specific page priorities

  • Methodology — ensure this URL is crawlable HTML with facts assistants can quote when answering “best B2B crypto platforms for teams evaluating options”
  • FAQ — ensure this URL is crawlable HTML with facts assistants can quote when answering “best B2B crypto platforms for teams evaluating options”
  • Buyer guide — ensure this URL is crawlable HTML with facts assistants can quote when answering “best B2B crypto platforms for teams evaluating options”

Fix guidance

Ship truthful JSON-LD that mirrors visible HTML, validate it, and keep entity names consistent across llms.txt and key URLs.

Deep dive: structured data for AI discovery. Industry hub: AI visibility for B2B crypto companies.

Measure with BatSignal

  1. Run a Visibility Scan on your B2B crypto site
  2. Inspect the pillar tied to structured data
  3. Ship the prioritized fixes and copy-paste deliverables
  4. Re-verify within 30 days to confirm movement

Related

MethodologyPricingMeasure your site

FAQ

What is structured data for B2B crypto companies?

Whether commercial pages expose accurate JSON-LD and related markup so AI systems and search engines can parse entities, products, FAQs, and organization facts. For B2B crypto, this shows up when buyers ask “best B2B crypto platforms for teams evaluating options” and when AI crawlers attempt to fetch your commercial pages.

How do we improve structured data?

Ship truthful JSON-LD that mirrors visible HTML, validate it, and keep entity names consistent across llms.txt and key URLs. Industry-specific must-have pages include Methodology, FAQ, Buyer guide.

How does BatSignal score this?

Content readiness / entity clarity. See the [methodology](/methodology) and related guide: /guides/json-ld-ai-discovery.