Playbook
structured data for AI discovery for AI agent platforms
A practical playbook for AI product marketers to improve structured data—with checks, fixes, and measurement.
Why structured data matters in AI agents
AI product 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 AI agents, common blockers include: Case studies lack citable facts; SPA marketing site returns empty HTML; Training archives never saw the domain. Analyst notes and G2-style roundups fill the answer gap when your own comparison pages are thin or blocked.
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
AI agents-specific page priorities
- Docs hub — ensure this URL is crawlable HTML with facts assistants can quote when answering “best AI agent platforms for teams evaluating options”
- Customer stories — ensure this URL is crawlable HTML with facts assistants can quote when answering “best AI agent platforms for teams evaluating options”
- API reference — ensure this URL is crawlable HTML with facts assistants can quote when answering “best AI agent 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 AI agent platforms.
Measure with BatSignal
- Run a Visibility Scan on your AI agents 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
- AI agents hub
- crawl access for AI agents
- content readiness for AI agents
- ChatGPT citations for AI agents
- llms.txt for AI agents
- structured data for AI discovery
- All industries
FAQ
What is structured data for AI agent 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 AI agents, this shows up when buyers ask “best AI agent 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 Docs hub, Customer stories, API reference.
How does BatSignal score this?
Content readiness / entity clarity. See the [methodology](/methodology) and related guide: /guides/json-ld-ai-discovery.