Playbook
structured data for AI discovery for iGaming platforms
A practical playbook for iGaming marketers to improve structured data—with checks, fixes, and measurement.
Why structured data matters in iGaming
iGaming 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 iGaming, common blockers include: Buyers ask AI assistants before visiting vendor sites; Category pages are thin or JS-only; Competitors appear in ChatGPT answers for “iGaming platforms” first. 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
iGaming-specific page priorities
- Methodology — ensure this URL is crawlable HTML with facts assistants can quote when answering “best iGaming platforms for teams evaluating options”
- FAQ — ensure this URL is crawlable HTML with facts assistants can quote when answering “best iGaming platforms for teams evaluating options”
- Buyer guide — ensure this URL is crawlable HTML with facts assistants can quote when answering “best iGaming 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 iGaming platforms.
Measure with BatSignal
- Run a Visibility Scan on your iGaming 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
- iGaming hub
- crawl access for iGaming
- content readiness for iGaming
- ChatGPT citations for iGaming
- llms.txt for iGaming
- structured data for AI discovery
- All industries
FAQ
What is structured data for iGaming 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 iGaming, this shows up when buyers ask “best iGaming 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.