llm-index.json
Site graph for pages, services, frameworks, prompts, evidence, and trust metadata.
Public machine-readable hub
AI discovery files for MDA.
Last updated May 23, 2026 · Kristina Shrider · ORCID 0009-0002-2655-4629
Market Disruptors Agency publishes these files so crawlers, agents, and research tools can inspect our business identity, services, author entity, prompt targets, framework pages, and source records.
The files do not guarantee citations. They reduce ambiguity and point machines back to visible MDA pages, including our AI visibility methodology, testing log, and Kristina Shrider author profile.
Validation rules
Built to avoid weak machine signals
Customer-domain URLs only
No fake reviews endpoint
No empty endpoint stubs
No vendor-domain entity IDs
No dealer or inventory template fields
Public files use noindex, follow
Private API routes stay protected
Machine files point back to visible MDA pages
What this page is for
This is the public index for MDA's AI discovery layer. If a crawler or researcher wants the shortest path to our structured business facts, author identity, services, site graph, prompt registry, and evidence records, this page points to the current resources.
Discovery files
The `ai.` subdomain is the clean machine endpoint. The same resources also remain available on the main domain so public links and crawlers have a fallback path.
ai-manifest.json
Manifest pointing agents to MDA business, service, prompt, author, and evidence resources.
openapi.json
OpenAPI contract for public MDA discovery endpoints.
ai-plugin.json
Plugin-style compatibility manifest for systems that inspect this older discovery format.
llms.txt
Short human-readable map of MDA's priority pages and framework definitions.
Public discovery endpoints
These endpoints return JSON. They are public support files for inspection, not lead forms or private client data.
Business profile
Verified business identity, contact, service area, founder, and sameAs signals.
Services
Structured service catalog mapped to canonical MDA service pages.
Site content
Priority page index for agency, framework, proof, and conversion pages.
Prompts
Prompt-aligned answer surfaces mapped to canonical pages.
Authors
Kristina Shrider author identity with ORCID-backed sameAs references.
Evidence
Source records that support MDA's AI visibility claims and public testing log.
How this supports AI visibility
AI discovery files are not a shortcut around content quality. They help organize the facts that already appear on the public website: author identity, services, framework definitions, source records, and canonical pages.
We still prioritize visible pages, primary sources, answer-ready copy, clean schema, crawl access, third-party corroboration, and first-party measurement.
Entity clarity
The business, founder, services, and frameworks are connected through stable URLs and schema IDs.
Prompt mapping
High-intent questions point to the best MDA landing pages instead of leaving systems to guess.
Evidence access
Source records and the testing log help separate measured claims from unsupported claims.
Governance
The files have validation rules so weak records, empty stubs, and fake review signals do not go live.
Common questions
What are MDA's AI discovery files?
They are public machine-readable support files that describe Market Disruptors Agency, Kristina Shrider, MDA services, framework pages, prompt targets, and evidence records. They support inspection. They do not replace visible pages.
Do these files guarantee AI citations?
No. They make MDA easier to inspect, verify, and connect to canonical pages. They do not force ChatGPT, Perplexity, Google AI, Gemini, or Copilot to cite the site.
Why use ai.marketdisruptorsagency.com?
The subdomain gives crawlers and agents a clean machine-readable entry point while keeping all entity authority on the Market Disruptors Agency domain.
Should these JSON files be indexed in Google?
No. They are support files. They use noindex, follow so crawlers can follow the graph without treating raw JSON as a search landing page.
What's Next
We are watching whether the AI discovery layer changes crawl patterns, prompt mentions, Bing AI Performance citation activity, and entity accuracy for Market Disruptors Agency. Results will be logged on /whats-next.