Mirror is the MCP for Brand Discovery Intelligence™.
A remote MCP server from Daniels AI Design Studio. Mirror measures a brand's AI Citability across four engines — AEO, GEO and SEO (the read engines that decide whether ChatGPT, Claude, Perplexity and Gemini cite a brand) and MCP (the call engine — whether AI agents can invoke a brand directly). Almost no brand is on the fourth engine yet.
Measure with Mirror. Make an MCP.
Open and free: no account, no key, no charge. The measurement itself — a full Brand Reflection — is delivered by a person on request, with an estimate.
Request a Brand Discovery Record — the human-approved source of truth a brand provides to AI assistants and agents: verified facts, schema.org structured data, citations, and a canonical link to the brand's own site. It is what a brand publishes so that AI systems read it right.
This creates a request, not a Record. Automated validation runs immediately and the results come back to you, but a person reviews every request and the brand itself must authorize it before anything is published. No autonomous process publishes a brand's machine-readable truth.
Mirror measures at two declared levels — Lite estimates. Full measures. Only a Full Reflection returns a precise, citable AI Citability Score (ACS, ±3–5) with numeric AEO/GEO/SEO, an executive summary, and prioritized findings. It is not a self-serve tool: ask for one and a person replies. Write to grover@danielsdesignstudio.com.
The ACI 55 is a separate curated index — 55 leading brands measured by AI Citability Score and presented by category as a banded dataset, not a 1-to-55 ranking. Published and maintained by Daniels AI Design Studio.
Endpoint (JSON-RPC 2.0 over POST, MCP Streamable HTTP):
https://mcp.danielsdesignstudio.com/mcp
Add it as a custom MCP connector in Claude, ChatGPT, Grok or Perplexity, then ask it to request a Brand Discovery Record for a brand you represent. Machine-readable summary: /llms.txt.