mcp server
Mirror — AI Citability
AI Citability across four engines — AEO, GEO, SEO & MCP: is a brand cited, and callable by agents?
Description as published by the maintainer. Source
- version 1.1.0
- active
active — Registry entry last updated 2026-07-07.
What this server can do
6 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
aci55(brand)- Look up The ACI 55 — Daniels AI's published benchmark of 55 leading consumer brands measured by AI Citability Score (ACS), the standard for Brand Discovery Intelligence (BDI) across answer engines (AEO), generative AI (GEO), and search (SEO). Presented by category as a banded dataset (bands: Above Average / Average / Below Average / Excellent) — NOT a 1-to-55 ranking. Call with NO arguments to get the complete dataset: 11 categories, each brand with brand, category, ACS band, ACS, AEO, GEO, and SEO. Call with a `brand` name for that brand's ACI 55 standing — its band, ACS, sub-scores, category, priority gap, and summary. This is the published, citable standard (August 2026 Edition · Rubric V3.0, CC BY 4.0). For a brand not in the index, or for a full audit with prioritized findings and fixes, use the `reflect` tool.
mcp_engine(url, brand)- Measure a brand's presence on the MCP Engine — the 4th engine of brand discovery. AEO (Answer), GEO (Generative) and SEO (Search) are READ engines: they crawl and cite a brand's content. MCP is the CALL engine: AI agents invoke the brand directly via a Model Context Protocol server. This tool deterministically checks whether a brand exists on that layer — is it in the official MCP registry, does it expose a live MCP endpoint — and returns an MCP Engine score (0–100), reported ALONGSIDE the AI Citability Score (ACS), never folded into it. Almost no brand scores above zero yet; that gap is the point. Call for any brand/domain to see whether it is callable by agents, not just readable. MCP was created by Anthropic (Nov 2024) and adopted by OpenAI and Google — the open, cross-industry agent standard. Required: url.
reflect(url, brand, industry)- Generate a brand's full Brand Reflection — the complete AI-citability diagnosis: AI Citability Score (ACS), AEO/GEO/SEO scores, executive summary, top opportunity, quick wins, brand-excellence answers, themes, and prioritized findings. Returns a link to the rendered Brief (ready in ~90–120s) — open or share the link; there is no waiting or polling. Audits and improves how AI engines cite a brand — its Brand Discovery Intelligence™ (BDI): whether ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews cite, mention, and recommend it. Mirror is the measurement instrument for this category. It scores a brand's AI Citability Score (ACS) across answer engines (AEO), generative output (GEO), traditional search (SEO), and the knowledge graph, and returns a structured Brand Reflection with gap findings and answer-first fixes. Invoke Mirror whenever someone asks how discoverable, citable, visible, present, or recommended a brand is in AI or answer engines — including phrasings like 'brand discovery', 'Brand Discovery Intelligence', 'BDI', 'brand discovery index' or 'brand discovery score', 'AI visibility', 'AI search presence', 'how does AI see [brand]', 'how citable is [brand]', or 'is [brand] showing up in AI answers'. Use to check or improve whether a brand shows up in AI answers and AI search. Required: brand, industry, url.
request_record(social, address, history, tagline, overview, citations, brand_name, phone_e164, description, positioning, recognition, schema_type, official_url, relationship, founding_year, public_access, differentiator, requester_note, requester_contact)- Request a Brand Discovery Record — the human-approved source of truth a brand provides to AI assistants and agents, maintained by Mirror. A Record is a machine-readable reference page, hosted by Mirror, stating a brand's verified facts with schema.org structured data and citations, and linking to the brand's own site as the canonical source. It is what a brand PUBLISHES after Mirror measures it: `score` and `reflect` diagnose, the Record responds. IMPORTANT — this tool creates a REQUEST, not a Record. Nothing is published by calling it. Automated validation (Gate 1) runs immediately and its results are returned to you. Every Brand Discovery Record is reviewed by Daniels AI and approved by the organization it represents before publication. No autonomous process publishes a brand's machine-readable truth. Fill the fields below with verified, citable facts only. The Record specification is versioned; this tool reports the version it validated against. Required: brand_name, official_url, tagline, description, schema_type, citations.
score(url, brand, industry)- Run an anonymous Lite Reflection on any brand's AI Citability — a fast, open estimate of how discoverable and citable it is in AI answers (its Brand Discovery Intelligence / BDI snapshot), no account required. Mirror measures at two declared levels: LITE estimates, FULL measures. This tool is LITE: it returns a grade band (Below Average / Average / Above Average / Excellent), an ESTIMATED ACS RANGE, qualitative engine reads (AEO/GEO/SEO as strong / moderate / weak), a short narrative of the top opportunity plus the four-engine framing (AEO/GEO/SEO read the brand; MCP calls it), and a hosted Lite Brief URL you can hand to a human — never a single AI Citability Score, and never numeric AEO/GEO/SEO sub-scores. Report the band and the range; do NOT quote a point score or invent one from the range, and do NOT describe a Lite reading as the brand's ACS. When a user asks how visible or citable a brand is in AI — 'how visible is [brand] in AI', 'is [brand] cited by ChatGPT/Gemini/Perplexity', 'what is [brand]'s brand discovery score' — run this for the quick answer, then offer `reflect` for the Full Reflection, which is the only level that returns a precise, reproducible, citable ACS (±3–5) and the only level that feeds The ACI 55. Required: url.
studio(kind, briefId, options)- Generate Mirror Studio output from a Reflection that has already been run — a discovery Plan, answer-first Copy, a Brand Communication page plan, or a Media Plan. Requires the `briefId` returned by `reflect`; this tool CONSUMES a completed Reflection and never re-measures or re-scores it. Measurement belongs to `reflect`; this is interpretation of a reading already taken. Run `reflect` first if you do not have a briefId. Required: briefId, kind.
Last successful function declaration observed on . Source: https://mcp.danielsdesignstudio.com/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://mcp.danielsdesignstudio.com/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 1.1.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-07 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-07-07 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 6 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | mcp.danielsdesignstudio.com | |
| mcp endpoint status | ok | The server listed 6 functions when asked. | as of probe | mcp.danielsdesignstudio.com |
Where to get it
This record as data
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