Playbook
structured data for AI discovery for private LLM platforms
A practical playbook for enterprise AI marketers to improve structured data—with checks, fixes, and measurement.
Why structured data matters in private LLM
enterprise AI 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 private LLM, common blockers include: Case studies lack citable facts; SPA marketing site returns empty HTML; Training archives never saw the domain. Integrators and agencies sometimes get cited more than vendors when vendor sites block AI crawlers.
What to check
- Organization and WebSite JSON-LD consistent with on-page branding
- FAQPage or HowTo markup only where visible FAQ/HowTo content exists
- Product, SoftwareApplication, or Service types on commercial pages when accurate
- No conflicting schema that invents ratings, prices, or claims not on the page
private LLM-specific page priorities
- Alternatives page — ensure this URL is crawlable HTML with facts assistants can quote when answering “best private LLM platforms for teams evaluating options”
- Implementation guide — ensure this URL is crawlable HTML with facts assistants can quote when answering “best private LLM platforms for teams evaluating options”
- ROI calculator page — ensure this URL is crawlable HTML with facts assistants can quote when answering “best private LLM 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 private LLM platforms.
Measure with BatSignal
- Run a Visibility Scan on your private LLM site
- Inspect the pillar tied to structured data
- Ship the prioritized fixes and copy-paste deliverables
- Re-verify within 30 days to confirm movement
Related
- private LLM hub
- crawl access for private LLM
- content readiness for private LLM
- ChatGPT citations for private LLM
- llms.txt for private LLM
- structured data for AI discovery
- All industries
FAQ
What is structured data for private LLM platforms?
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 private LLM, this shows up when buyers ask “best private LLM 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 Alternatives page, Implementation guide, ROI calculator page.
How does BatSignal score this?
Content readiness / entity clarity. See the [methodology](/methodology) and related guide: /guides/json-ld-ai-discovery.