ASO Studio

1. Missing Machine Signals Detected on donkit.ai

• /.well-known/ai.txt, /ai/summary.json, and /ai/faq.json are all missing (0/4 machine discovery endpoints present)
• /robots.txt does not explicitly allow AI search crawlers (OAI-SearchBot, GPTBot, ClaudeBot, PerplexityBot, Google-Extended)
• Homepage JSON-LD is missing FAQPage structured entity schemas

2. 47-Check Rubric v2 Category Breakdown (donkit.ai)

3. Three buyer questions to verify

What does Donkit AI do? What does it cost? Which limits or extra fees apply?

Retain the same sources and questions for the before/after check. This page has not run searches in ChatGPT, Perplexity or Claude.

4. Pre-Built Machine Discovery Previews for donkit.ai

[/llms.txt] [/.well-known/ai.txt] [/ai/summary.json] [/pricing.md] [/.well-known/mcp.json] [/.well-known/agent-card.json] [/.well-known/openapi.json] [Copy Active File] [Download .TXT] [Copy Slack Summary]

# Donkit AI

> Product description not verified. Consult the official website: https://donkit.ai.

## Core Capabilities (Donkit AI — Enterprise AI Contract Lifecycle & LegalTech SaaS)
- **Category:** AI Contract Lifecycle & LegalTech SaaS
- **Primary Domain:** https://donkit.ai
- **Machine Discovery:** Full `/llms-full.txt`, `/pricing.md`, `/answers.md`, `/ai/summary.json`, `/ai/faq.json`, `/ai/service.json`


## Primary Documentation
- [Donkit AI Overview](https://donkit.ai/): Primary product interface and specifications
- [Full AI Knowledge Corpus](https://donkit.ai/llms-full.txt): Single-file technical reference for LLMs and RAG
- [Pricing & Tiers](https://donkit.ai/pricing.md): Deterministic fee schedule
- [Product Answers](https://donkit.ai/answers.md): Source-linked product information


## Optional
- [JSON Summary](https://donkit.ai/ai/summary.json): Structured entity profile
- [FAQ JSON](https://donkit.ai/ai/faq.json): Machine-readable Q&A pairs

# Donkit AI

> Product description not verified. Consult the official website: https://donkit.ai.

## Core Capabilities (Donkit AI — Enterprise AI Contract Lifecycle & LegalTech SaaS)
- **Category:** AI Contract Lifecycle & LegalTech SaaS
- **Primary Domain:** https://donkit.ai
- **Machine Discovery:** Full `/llms-full.txt`, `/pricing.md`, `/answers.md`, `/ai/summary.json`, `/ai/faq.json`, `/ai/service.json`


## Primary Documentation
- [Donkit AI Overview](https://donkit.ai/): Primary product interface and specifications
- [Full AI Knowledge Corpus](https://donkit.ai/llms-full.txt): Single-file technical reference for LLMs and RAG
- [Pricing & Tiers](https://donkit.ai/pricing.md): Deterministic fee schedule
- [Product Answers](https://donkit.ai/answers.md): Source-linked product information


## Optional
- [JSON Summary](https://donkit.ai/ai/summary.json): Structured entity profile
- [FAQ JSON](https://donkit.ai/ai/faq.json): Machine-readable Q&A pairs

User-Agent: *
Allow: /
LLMs-Txt: https://donkit.ai/llms.txt
LLMs-Full-Txt: https://donkit.ai/llms-full.txt
AI-Summary: https://donkit.ai/ai/summary.json
AI-FAQ: https://donkit.ai/ai/faq.json
AI-Service: https://donkit.ai/ai/service.json
MCP-Manifest: https://donkit.ai/.well-known/mcp.json
Agent-Card: https://donkit.ai/.well-known/agent-card.json

{
  "name": "Donkit AI",
  "url": "https://donkit.ai",
  "category": "AI Contract Lifecycle & LegalTech SaaS",
  "summary": "Product description not verified. Consult the official website: https://donkit.ai.",
  "comparison_candidates": [
    "Ironclad"
  ],
  "use_cases_to_review": [
    "Automated AI Contract Lifecycle & LegalTech SaaS for engineering teams",
    "Enterprise migration from Ironclad"
  ],
  "tools": [
    {
      "name": "get_pricing_schedule",
      "description": "Fetch deterministic Markdown pricing for Donkit AI",
      "endpoint": "https://donkit.ai/pricing.md"
    },
    {
      "name": "get_entity_summary",
      "description": "Fetch structured JSON entity attributes for Donkit AI",
      "endpoint": "https://donkit.ai/ai/summary.json"
    }
  ],
  "generated_at": "2026-11-15",
  "sources": {
    "homepage": "https://donkit.ai",
    "pricing": null
  },
  "review_status": "draft; product claims and pricing need source review"
}

# Donkit AI — Machine-Readable Pricing (`pricing.md`)

Draft generated 2026-11-15; review against the source before publication.

Prices, billing periods and usage fees are not verified in this draft. Consult the [official pricing source](https://donkit.ai).

{
  "mcpVersion": "2025-03-26",
  "name": "donkit-ai-agent-discovery",
  "title": "Donkit AI \u2014 Official AI & Agent Discovery Surface",
  "url": "https://donkit.ai",
  "transport": "streamable-http",
  "resources": [
    {
      "uri": "https://donkit.ai/llms.txt",
      "mimeType": "text/plain"
    },
    {
      "uri": "https://donkit.ai/llms-full.txt",
      "mimeType": "text/plain"
    },
    {
      "uri": "https://donkit.ai/pricing.md",
      "mimeType": "text/markdown"
    },
    {
      "uri": "https://donkit.ai/ai/summary.json",
      "mimeType": "application/json"
    }
  ]
}

{
  "protocolVersion": "0.2.5",
  "name": "Donkit AI",
  "description": "Official Agent-to-Agent (A2A) discovery profile for Donkit AI (donkit.ai).",
  "url": "https://donkit.ai",
  "provider": {
    "organization": "Donkit AI",
    "url": "https://donkit.ai"
  },
  "version": "1.0.0",
  "documentationUrl": "https://donkit.ai/llms-full.txt",
  "skills": [
    {
      "id": "get_entity_summary",
      "name": "Get Donkit AI Entity Profile",
      "tags": [
        "saas",
        "entity"
      ]
    },
    {
      "id": "get_pricing_schedule",
      "name": "Get Donkit AI Pricing Tiers",
      "tags": [
        "pricing",
        "markdown"
      ]
    }
  ]
}

{
  "openapi": "3.1.0",
  "info": {
    "title": "Donkit AI Agent Discovery API",
    "version": "1.0.0",
    "description": "Deterministic AI & agent discovery endpoints for Donkit AI (donkit.ai)."
  },
  "servers": [
    {
      "url": "https://donkit.ai"
    }
  ],
  "paths": {
    "/ai/summary.json": {
      "get": {
        "operationId": "getEntitySummary",
        "summary": "Structured entity profile for Donkit AI"
      }
    },
    "/pricing.md": {
      "get": {
        "operationId": "getPricingMarkdown",
        "summary": "Deterministic pricing tiers for Donkit AI"
      }
    },
    "/llms-full.txt": {
      "get": {
        "operationId": "getFullCorpus",
        "summary": "Complete technical RAG corpus for Donkit AI"
      }
    }
  }
}

Zero-Backend 14-Route Edge Router Preview (donkit.ai): [Cloudflare Worker] [Vercel / Next.js] [Astro / SvelteKit] [Python / FastAPI] [Nginx / CloudFront] [Copy Router]

export default {
  async fetch(req) {
    const p = new URL(req.url).pathname;
    if (ASO_ROUTES[p]) return new Response(ASO_ROUTES[p].body, { headers: ASO_ROUTES[p].headers });
    if (p === "/robots.txt") return merge27AiCrawlerPolicy(await fetch(req)); // Preserves origin Disallow & Sitemap
    const res = await fetch(req); // donkit.ai origin untouched (<1ms streaming overhead)
    return new HTMLRewriter().on("head", injectLinkedSchemaGraphAndMeta).transform(withRfc8288Links(res));
  } // 14 routes: /llms.txt, /llms-full.txt, /.well-known/ai.txt, /pricing.md, /ai/*.json, /.well-known/mcp.json, /.well-known/agent-card.json, /.well-known/openapi.json, /feed.xml
};

export default {
  async fetch(req) {
    const p = new URL(req.url).pathname;
    if (ASO_ROUTES[p]) return new Response(ASO_ROUTES[p].body, { headers: ASO_ROUTES[p].headers });
    if (p === "/robots.txt") return merge27AiCrawlerPolicy(await fetch(req)); // Preserves origin Disallow & Sitemap
    const res = await fetch(req); // donkit.ai origin untouched (<1ms streaming overhead)
    return new HTMLRewriter().on("head", injectLinkedSchemaGraphAndMeta).transform(withRfc8288Links(res));
  } // 14 routes: /llms.txt, /llms-full.txt, /.well-known/ai.txt, /pricing.md, /ai/*.json, /.well-known/mcp.json, /.well-known/agent-card.json, /.well-known/openapi.json, /feed.xml
};

// middleware.ts (Vercel Edge / Next.js · included in 26-file bundle for donkit.ai)
import { NextResponse, type NextRequest } from 'next/server';
export function middleware(req: NextRequest) {
  const hit = ASO_ROUTES[req.nextUrl.pathname];
  if (hit) return new NextResponse(hit.body, { status: 200, headers: hit.headers });
  const res = NextResponse.next();
  res.headers.set('Link', '</llms.txt>; rel="service-doc", </.well-known/mcp.json>; rel="service-desc"');
  return res;
}
export const config = { matcher: ['/llms.txt', '/llms-full.txt', '/.well-known/:path*', '/pricing.md', '/ai/:path*'] };

// src/middleware.ts (Astro / SvelteKit / Remix Web-Fetch middleware for donkit.ai)
import { defineMiddleware } from 'astro:middleware';
export const onRequest = defineMiddleware(async (context, next) => {
  const hit = ASO_ROUTES[context.url.pathname];
  if (hit) return new Response(hit.body, { status: 200, headers: hit.headers });
  const res = await next();
  res.headers.set('Link', '</llms.txt>; rel="service-doc", </.well-known/mcp.json>; rel="service-desc"');
  return res;
});

# aso_routes.py (FastAPI / Starlette ASGI router · included for donkit.ai)
from fastapi import APIRouter
from fastapi.responses import FileResponse, PlainTextResponse

router = APIRouter()
@router.get("/llms.txt", response_class=PlainTextResponse)
async def llms_txt() -> str: return (ASO_STATIC / "llms.txt").read_text("utf-8")
@router.get("/pricing.md", response_class=PlainTextResponse)
async def pricing_md() -> str: return (ASO_STATIC / "pricing.md").read_text("utf-8")
@router.get("/.well-known/mcp.json")
async def mcp_json() -> FileResponse: return FileResponse(ASO_STATIC / "mcp.json", media_type="application/json")

# edge/nginx-aso.conf (Nginx / AWS CloudFront origin for donkit.ai)
location ~ ^/(llms\.txt|llms-full\.txt|pricing\.md|answers\.md|\.well-known/(ai\.txt|mcp\.json|agent-card\.json|openapi\.json)|ai/.*\.json)$ {
  root /var/www/aso-static;
  add_header Access-Control-Allow-Origin "*" always;
  add_header Cache-Control "public, max-age=3600, s-maxage=86400" always;
  add_header Link '<https://donkit.ai/llms.txt>; rel="service-doc"' always;
}

Review for donkit.ai: technical rubric 72/100; AI citations and revenue not measured. Proposed work: source-linked product, pricing and limits, with the same three buyer questions checked before and after. Edge implementation: $1,490 + $490/month. Review: https://asostudio.dev/proposal/donkit-ai-ca7777/

5. Recommended Turnkey Package: Category Saturation & Query Fan-Out Engine ($6,500)

30-Day Intensive Program (or $5,500/mo retainer) · Agree sources and factual acceptance checks before implementation. AI citations and sales are not guaranteed.

• Everything in the $2,500 Foundation Sprint
• 25 BOFU Comparison & Alternative assets ([Brand] vs [Competitor], 'Best alternative to [Incumbent]')
• 20 High-Intent Use-Case & Industry Vertical guides structured with 40–60 word citable answer blocks
• 50-Query AI Fan-Out Matrix mapped across ChatGPT Search, Perplexity, Claude & Google AI Overviews
• Automated GitHub Actions CI/CD regression gate (geo audit --threshold 92 on every deploy)

---

6. Reserve Order & Unlock 26-File Bundle

Company Name

Domain

Delivery Email

Program Tier
Self-Serve 26-File Pack · $49 One-Time (Instant Base USDC .ZIP) 1-Click Edge Agent Layer · $1,490 (+ $490/mo Drift Guard) ASO Foundation Sprint · $2,500 (5-Day Turnkey PR) Category Saturation Engine · $6,500 (50 Fan-Out Matrices) Enterprise Share-of-Model · $15,000 (Multi-Domain + MCP) Agency White-Label Pack · $995/mo (5 Client Domains)

Target Runtime Stack
Cloudflare Worker (<15ms · Zero Origin Changes) Vercel / Next.js (middleware.ts + 26-File PR) Astro / SvelteKit / Remix (Web-Fetch Middleware + PR) Python / FastAPI / Django (ASGI Router + PR) AWS CloudFront / Nginx / Direct GitHub PR

Settlement Rail
Pay $0 Today · Delivered First, Pay Net-15 Wire/ACH After Agreed Technical Checks USDC on Base (Chain 8453 — Instant .ZIP) (Instant 26-File ZIP Unlock) Monero (XMR Isolated Subaddress · Instant Unlock)

[ Confirm Order · Pay $0 Today (or Instant Base USDC .ZIP) ]