Playbook
structured data for AI discovery for VoC platforms
A practical playbook for CX researchers and marketers to improve structured data—with checks, fixes, and measurement.
Why structured data matters in voice of customer
CX researchers and 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 voice of customer, common blockers include: Product docs are behind login walls; robots.txt blocks AI search bots unintentionally; Comparison queries cite review sites instead of the brand. Open-source alternatives and community docs can crowd out commercial brands that hide details behind demos.
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
voice of customer-specific page priorities
- Solutions by persona — ensure this URL is crawlable HTML with facts assistants can quote when answering “best voice of customer tools for teams evaluating options”
- Industry examples — ensure this URL is crawlable HTML with facts assistants can quote when answering “best voice of customer tools for teams evaluating options”
- Support docs — ensure this URL is crawlable HTML with facts assistants can quote when answering “best voice of customer tools 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 VoC platforms.
Measure with BatSignal
- Run a Visibility Scan on your voice of customer 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
- voice of customer hub
- crawl access for voice of customer
- content readiness for voice of customer
- ChatGPT citations for voice of customer
- llms.txt for voice of customer
- structured data for AI discovery
- All industries
FAQ
What is structured data for VoC 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 voice of customer, this shows up when buyers ask “best voice of customer tools 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.