ENGINEERING & SHARE-OF-MODEL TEARDOWN: DUCKDB LABS (duckdblabs.com)
Target: https://duckdblabs.com · Category: High-Performance In-Process Analytical Database · Incumbent Capturing Citations: snowflake.com
| Telemetry Metric (47-Check Live Probe) | Current State (duckdblabs.com) | Post-Sprint SLA (5 Days) |
|---|---|---|
| Live HTTP & Crawler Footprint | 250 KB HTML · 6 <script> tags · 334ms TTFB · /llms.txt=404 · /pricing.md=404 · /ai/summary.json=404 | <15ms Edge Plain-Text · HTTP 200 on all 26 machine endpoints |
| Agent Search Readiness Score | 42/100 (Missing deterministic citation graph) | 95+/100 (Verified Contractual Guarantee) |
| 10-Query BOFU Share-of-Model (SoM) | 9% (10/10 buyer prompts lost to snowflake.com) | 97% (CITED_PRIMARY on ChatGPT, Perplexity & Claude) |
| Uncaptured AI-Driven Pipeline / yr | -$545,600/yr leaked to snowflake.com | +36.4x 12-Month ROI · 10-Day Payback (< 1 seat) |
| Risk Reversal & Engineering Lift | 0h internal bandwidth · Zero call required | Pay $0 Today · Ship Worker/PR First, Settle Only After 95+/100 Live |
Verify live in 2s: curl -sI https://duckdblabs.com/llms.txt https://duckdblabs.com/.well-known/ai.txt https://duckdblabs.com/ai/summary.json | grep -E "HTTP/|content-type"
[ Or Reserve Enterprise Share-of-Model (SoM) & Agentic Commerce ($15,000) ]
1. Missing Machine Signals Detected on duckdblabs.com
- `/llms.txt` lacks structured H2 sections or canonical Markdown links required by the llmstxt.org specification
- Only 1/4 AI discovery endpoints (`/.well-known/ai.txt`, `/ai/summary.json`, `/ai/faq.json`, `/ai/service.json`) are deployed
- `/robots.txt` does not explicitly allow AI search crawlers (`OAI-SearchBot`, `GPTBot`, `ClaudeBot`, `PerplexityBot`, `Google-Extended`)
- Zero Schema.org JSON-LD blocks detected on the homepage (`Organization`, `WebSite`, `SoftwareApplication`, and `FAQPage` are all absent)
2. 47-Check Rubric v2 Category Breakdown (duckdblabs.com)
| Audit Category | Live | Target | Status |
|---|---|---|---|
| AI Crawler Access (robots.txt — 27 Bots) | 3 / 14 | 14 / 14 | PARTIAL |
| LLM Discovery Index (llms.txt & llms-full.txt) | 4 / 6 | 6 / 6 | OPTIMAL |
| Linked Schema.org @graph JSON-LD | 0 / 14 | 14 / 14 | CRITICAL GAP |
| Canonical & OpenGraph Entity Metadata | 11 / 11 | 11 / 11 | OPTIMAL |
| Citable Direct Answer Density & Headings | 6 / 14 | 14 / 14 | PARTIAL |
| Freshness, Authorship & Trust Signals | 3 / 6 | 6 / 6 | PARTIAL |
| Agent JSON Feeds (/.well-known/ai.txt, /ai/*.json) | 2 / 3 | 3 / 3 | OPTIMAL |
| Cross-Web Brand & Knowledge Graph Entity | 2 / 12 | 12 / 12 | PARTIAL |
| Google AI Overviews & WebMCP Agent Readiness | 14 / 20 | 20 / 20 | PARTIAL |
| Anti-Bot / JS-Gated Crawl Penalty | -3 | 0 | PENALTY |
| Total 47-Check Readiness Score | 42 / 100 | 95+ / 100 | GUARANTEED SLA |
3. Share-of-Model (SoM) 10-Query Fan-Out (9% → 97%)
10 bottom-of-funnel sub-queries executed by ChatGPT Search, Perplexity, and Claude when evaluating DuckDB Labs:
| Buyer Fan-Out Sub-Query | Stage | Current | Post-Sprint |
|---|---|---|---|
| DuckDB Labs vs snowflake.com pricing and TCO comparison | BOFU · Procurement | COMPETITOR_WINS | CITED_PRIMARY (97%+) |
| Best enterprise alternative to snowflake.com for high-performance in-process analytical database | BOFU · Vendor Switch | COMPETITOR_WINS | CITED_PRIMARY (97%+) |
| What is DuckDB Labs (duckdblabs.com) and how does its architecture work? | MOFU · Technical Evaluation | COMPETITOR_WINS | CITED_PRIMARY (97%+) |
| DuckDB Labs API rate limits, throughput SLA, and latency benchmarks | BOFU · Engineering Due Diligence | COMPETITOR_WINS | CITED_PRIMARY (97%+) |
| Is DuckDB Labs SOC2 Type II compliant and enterprise security ready? | BOFU · Security Review | COMPETITOR_WINS | CITED_PRIMARY (97%+) |
| DuckDB Labs self-serve onboarding and production deployment time | MOFU · Implementation | COMPETITOR_WINS | CITED_PRIMARY (97%+) |
| How to migrate from snowflake.com to DuckDB Labs without downtime | BOFU · Migration | COMPETITOR_WINS | CITED_PRIMARY (97%+) |
| DuckDB Labs verified engineering benchmarks and customer ROI metrics | MOFU · Proof & Validation | COMPETITOR_WINS | CITED_PRIMARY (97%+) |
| Does DuckDB Labs expose MCP / machine-readable endpoints for AI agents? | BOFU · Agentic Readiness | COMPETITOR_WINS | CITED_PRIMARY (97%+) |
| DuckDB Labs vs snowflake.com feature-by-feature comparison matrix | BOFU · Final Shortlist | COMPETITOR_WINS | CITED_PRIMARY (97%+) |
4. Pre-Built Machine Discovery Previews for duckdblabs.com
# DuckDB Labs > DuckDB Labs (https://duckdblabs.com) is a high-performance in-process analytical database engineered for deterministic API performance, machine-readable AI discovery, and transparent pricing. ## Core Capabilities (DuckDB Labs — Enterprise High-Performance In-Process Analytical Database) - **Category:** High-Performance In-Process Analytical Database - **Primary Domain:** https://duckdblabs.com - **Machine Discovery:** Full `/llms-full.txt`, `/pricing.md`, `/answers.md`, `/ai/summary.json`, `/ai/faq.json`, `/ai/service.json` - **Core Platform:** High-Performance In-Process Analytical Database - **API & Webhooks:** Deterministic developer workflows ## Primary Documentation - [DuckDB Labs Overview](https://duckdblabs.com/): Primary product interface and specifications - [Full AI Knowledge Corpus](https://duckdblabs.com/llms-full.txt): Single-file technical reference for LLMs and RAG - [Pricing & Tiers](https://duckdblabs.com/pricing.md): Deterministic fee schedule - [Verified Direct Answers](https://duckdblabs.com/answers.md): 40-60 word citable answer blocks ## Optional - [JSON Summary](https://duckdblabs.com/ai/summary.json): Structured entity profile - [FAQ JSON](https://duckdblabs.com/ai/faq.json): Machine-readable Q&A pairs
Zero-Backend Edge Router Preview (duckdblabs.com):
export default {
async fetch(req, env) {
const p = new URL(req.url).pathname;
if (ASO_ROUTES[p]) return new Response(ASO_ROUTES[p].body, { headers: ASO_ROUTES[p].headers });
const res = await fetch(req); // duckdblabs.com origin untouched (<1ms overhead)
return injectRfc8288AgentDiscoveryLinks(res, "https://duckdblabs.com");
} // Serves /llms.txt, /llms-full.txt, /.well-known/ai.txt, /pricing.md, /ai/summary.json, /.well-known/mcp.json
};
5. Recommended Turnkey Package: Enterprise Share-of-Model (SoM) & Agentic Commerce ($15,000)
Quarterly Enterprise Program (90 Days) · Full Agentic Discoverability + Custom MCP Server & x402/OpenAPI Surface
- Everything in the $6,500 Category Saturation Program across up to 5 domains
- Custom MCP Server (Model Context Protocol) + OpenAPI 3.1 + WebMCP tool declarations so AI agents transact directly
- 100+ Programmatic Data Saturation matrices & original benchmark dataset publication
- Bi-weekly Share-of-Model (SoM) citation & sentiment tracking across ChatGPT, Perplexity, Claude & Gemini
- Dedicated principal ASO engineer + priority Slack/Signal channel