com.danielsdesignstudio/mirror-ai-citability

Tools

• aci55

  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.

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• mcp_engine

  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.

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• reflect

  PRICED TOOL — requires a connected account. Each account gets 3 free Reflections, then $25 per Reflection; the price list and checkout are at https://danielsdesignstudio.com/agents?src=mcp-tool. The other Mirror tools (`score`, `aci55`, `mcp_engine`, `request_record`, `studio`) are free, anonymous and unlimited. 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.

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• request_record

  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.

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• score

  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).

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• studio

  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.

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Tool count and median score across every tool in this server’s corpus — honest in a way a single cherry-picked tool’s badge wouldn’t be.

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