Playbook
structured data for AI discovery for DTx companies
A practical playbook for digital therapeutics marketers to improve structured data—with checks, fixes, and measurement.
Why structured data matters in digital therapeutics
digital therapeutics 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In digital therapeutics, common blockers include: Pricing is unclear to crawlers; llms.txt is missing or outdated; Share of voice lags larger incumbents. Marketplace listing pages can outrank your homepage in AI answers if your product facts live only behind auth.
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
digital therapeutics-specific page priorities
- Solutions by persona — ensure this URL is crawlable HTML with facts assistants can quote when answering “best digital therapeutics platforms for teams evaluating options”
- Industry examples — ensure this URL is crawlable HTML with facts assistants can quote when answering “best digital therapeutics platforms for teams evaluating options”
- Support docs — ensure this URL is crawlable HTML with facts assistants can quote when answering “best digital therapeutics 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 DTx companies.
Measure with BatSignal
- Run a Visibility Scan on your digital therapeutics 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
- digital therapeutics hub
- crawl access for digital therapeutics
- content readiness for digital therapeutics
- ChatGPT citations for digital therapeutics
- llms.txt for digital therapeutics
- structured data for AI discovery
- All industries
FAQ
What is structured data for DTx 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 digital therapeutics, this shows up when buyers ask “best digital therapeutics 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 Solutions by persona, Industry examples, Support docs.
How does BatSignal score this?
Content readiness / entity clarity. See the [methodology](/methodology) and related guide: /guides/json-ld-ai-discovery.