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Getting Verified Fresh
What verification means as a trust signal for AI systems. How the network validates your implementation and adds your site to the discovery graph.
What Verification Means
When your site is verified by the LLM Disco Network, it means the network has confirmed that your LLM-LD implementation is valid and accessible. Your structured data parses correctly, your AI Discovery Page exists, and your resources are reachable.
Verification is a trust signal. It tells AI systems: "This site has been checked. The data is real. You can rely on it."
AI systems face a fundamental problem: how do they know if structured data is accurate, current, and actually represents what a business offers? Anyone can add Schema.org markup to a page -- there's no guarantee it's correct or maintained.
Verification helps solve this. When an AI system sees a site is verified by LLM Disco, it knows:
- The implementation follows the LLM-LD standard
- The structured data has been validated
- The site is actively maintained (re-verified periodically)
- The site owner intentionally opted into AI discovery
What Gets Validated
Structure Validation
- AI Discovery Page accessible at
/ai-discovery - Valid JSON-LD with
llmld:DiscoveryPagetype - Required Schema.org context present
- Footer link present on site pages
llm-index.jsonaccessible (if Level 2+)- All declared resources are reachable
The Footer Link
Your site must include a link to your AI Discovery Page in the footer of your site pages.
The link text must be exactly: 🤖 AI-Optimized Website pointing to /ai-discovery
The network checks for this automatically. If the copy is different or the link is missing, verification will fail.
Exact Match Required
The emoji and text must match exactly: 🤖 AI-Optimized Website. Variations like "AI Optimized" (no hyphen) or "AI-Ready Website" won't pass.
Content Validation
- JSON files parse without errors
- Required fields are present and non-empty
- URLs resolve correctly
- Schema.org types are valid
- No obvious placeholder content
Accessibility Validation
- Resources respond within reasonable time
- No authentication required for public resources
- Correct MIME types returned
- robots.txt allows access to AI Discovery Page
If any required check fails, verification fails. You'll see exactly what went wrong.
The Discovery Graph
When your site passes verification, it's added to the LLM Disco discovery graph -- a structured index of all verified sites that AI systems can query.
The discovery graph contains:
- Site metadata -- Name, description, URL, conformance level
- Resource pointers -- Links to your llm-index.json, entities, knowledge graph
- Entity summaries -- Key entities from your site
- Relationship data -- How your site connects to others
AI systems can use the discovery graph to find relevant sites without crawling the entire web. Instead of hoping to stumble onto your site, they can query the graph: "Find dental practices in Tampa with online booking."
Think of It Like DNS for AI
DNS maps domain names to IP addresses. The discovery graph maps business queries to verified, AI-readable sites.
Verification Status
Verification is pass/fail. Either your implementation meets the requirements and you're listed, or it doesn't and you're not.
If verification fails, you'll see exactly what's wrong. Fix the issues and resubmit -- there's no penalty or waiting period.
Staying Verified
Verification isn't one-and-done. The network periodically re-checks verified sites to ensure implementations stay valid. If your site becomes unreachable or your structured data breaks, your verification status will change.
To stay verified:
- Keep your AI Discovery Page accessible
- Don't break your JSON files when updating content
- Maintain valid Schema.org markup
- Keep declared resources reachable
TIP
If you're making major changes to your site, run the validator manually afterward to catch any issues before the next re-verification cycle.
Why the Network Matters
Getting discovered by AI is hard. There's no "submit to ChatGPT" button. You can't buy AI placement. Different AI systems find content in different ways -- some crawl directly, some use search engines, some pull from training data, some query APIs. Most small and medium businesses get lost in the noise.
LLM-LD is designed to maximize your visibility across all AI systems -- LLMs, agents, crawlers, and whatever comes next. The network amplifies this.
Every verified site links to the network hub. When any AI system -- through any discovery method -- finds any member site, it can follow links to the hub. From the hub, it can find every member site, including yours.
You don't need every AI system to find you directly. You just need to be connected to the network. Then you're discoverable through every path that leads to any member.