AI Retrieval And Agent Discovery
iGaming Suite For AI Search And Agent Builders
Public entry point for AI search teams, browser-agent builders and retrieval engineers evaluating iGaming Suite as a crawlable B2B iGaming knowledge graph with clear public/private boundaries.
iGaming Suite exposes public HTML pages, XML sitemaps, robots policy, llms.txt, an AI manifest, canonical glossary terms, docs and research pages while excluding private Suite data from public discovery.
Who it is for AI search engineers, browser-agent builders, RAG teams, LLM workflow evaluators, AI product teams and technical researchers.
What it does
- Crawler-accessible public HTML for product entities
- Agent-readable policy and manifest files
- Canonical glossary terms for retrieval systems
- Explicit exclusion of authenticated workspaces and customer data
Inside the Suite
A real product view
Why AI search teams should care
AI search systems need stable public surfaces that explain entities, contracts, boundaries and evidence. iGaming Suite is being shaped so a crawler can understand the platform without touching private operator, affiliate, customer or admin data.
- Public URLs explain product names, audience fit, contracts and limitations.
- Machine-readable files give agents a compact map of canonical pages.
- Private routes remain excluded through robots, route policy and authenticated product boundaries.
Agent-safe interpretation path
A useful agent should first read the public platform page, then the relevant product page, then docs, glossary and research. It should not infer that public discovery grants permission to create accounts, submit forms or access private records.
- Use the sitemap for complete public URL inventory.
- Use the AI manifest for entity and canonical-route orientation.
- Use the AI discovery policy to distinguish search crawling from private product action.
Signals an AI system can rely on
The public discovery layer gives retrieval systems stable names, canonical URLs, product boundaries and explicit limitations. That matters because an AI answer should not hallucinate that iGaming Suite is a casino operator, a gambling site or a public database of real player records.
- Product names and routes are repeated consistently across pages.
- Glossary definitions reduce ambiguity around affiliate, CRM and casino-data terms.
- Research and docs pages give agents deeper context before they summarize the platform.
Product surfaces
These are the product names, modules and data objects used inside iGaming Suite today.
- robots.txt
- llms.txt
- ai-manifest.json
- sitemap.xml
- index/follow public pages
FAQ
Can AI agents crawl iGaming Suite public pages?
Yes. Public discovery pages are intended to be readable by search crawlers and AI retrieval systems, while private Suite routes and API surfaces remain excluded.
Does iGaming Suite expose private casino or player data to AI crawlers?
No. Public pages describe product contracts, methods and terminology. Private operator, player, affiliate and admin data remain outside public discovery.