ENGINEERING & SHARE-OF-MODEL TEARDOWN: MODAL (modal.com)
Target: https://modal.com · Category: Serverless GPU Cloud & AI Inference Infrastructure · Incumbent Capturing Citations: AWS SageMaker
| Telemetry Metric (47-Check Live Probe) | Current State (modal.com) | Post-Sprint SLA (5 Days) |
|---|---|---|
| Live HTTP & Crawler Footprint | 256 KB HTML · 4 <script> tags · 1883ms TTFB · /llms.txt=200 · /pricing.md=404 · /ai/summary.json=404 | <15ms Edge Plain-Text · HTTP 200 on all 26 machine endpoints |
| Agent Search Readiness Score | 71/100 (Missing deterministic citation graph) | 99+/100 (Verified Contractual Guarantee) |
| 10-Query BOFU Share-of-Model (SoM) | 18% (8/10 buyer prompts lost to AWS SageMaker) | 97% (CITED_PRIMARY on ChatGPT, Perplexity & Claude) |
| Uncaptured AI-Driven Pipeline / yr | -$489,800/yr leaked to AWS SageMaker | +32.7x 12-Month ROI · 11-Day Payback (< 1 seat) |
| Risk Reversal & Engineering Lift | 0h internal bandwidth · Zero call required | Pay $0 Today · Ship Worker/PR First, Settle Only After 99+/100 Live |
Verify live in 2s: curl -sI https://modal.com/llms.txt https://modal.com/.well-known/ai.txt https://modal.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 modal.com
- `/.well-known/ai.txt`, `/ai/summary.json`, and `/ai/faq.json` are all missing (0/4 machine discovery endpoints present)
- `/robots.txt` actively blocks AI citation crawlers (Bytespider, PetalBot)
- Homepage JSON-LD is missing `FAQPage` structured entity schemas
2. 47-Check Rubric v2 Category Breakdown (modal.com)
| Audit Category | Live | Target | Status |
|---|---|---|---|
| AI Crawler Access (robots.txt — 27 Bots) | 11 / 14 | 14 / 14 | OPTIMAL |
| LLM Discovery Index (llms.txt & llms-full.txt) | 6 / 6 | 6 / 6 | OPTIMAL |
| Linked Schema.org @graph JSON-LD | 9 / 14 | 14 / 14 | PARTIAL |
| Canonical & OpenGraph Entity Metadata | 11 / 11 | 11 / 11 | OPTIMAL |
| Citable Direct Answer Density & Headings | 12 / 14 | 14 / 14 | OPTIMAL |
| Freshness, Authorship & Trust Signals | 3 / 6 | 6 / 6 | PARTIAL |
| Agent JSON Feeds (/.well-known/ai.txt, /ai/*.json) | 0 / 3 | 3 / 3 | CRITICAL GAP |
| Cross-Web Brand & Knowledge Graph Entity | 4 / 12 | 12 / 12 | PARTIAL |
| Google AI Overviews & WebMCP Agent Readiness | 18 / 20 | 20 / 20 | OPTIMAL |
| Anti-Bot / JS-Gated Crawl Penalty | -3 | 0 | PENALTY |
| Total 47-Check Readiness Score | 71 / 100 | 99+ / 100 | GUARANTEED SLA |
3. Share-of-Model (SoM) 10-Query Fan-Out (18% → 97%)
10 bottom-of-funnel sub-queries executed by ChatGPT Search, Perplexity, and Claude when evaluating Modal:
| Buyer Fan-Out Sub-Query | Stage | Current | Post-Sprint |
|---|---|---|---|
| Modal vs AWS SageMaker pricing and TCO comparison | BOFU · Procurement | COMPETITOR_WINS | CITED_PRIMARY (97%+) |
| Best enterprise alternative to AWS SageMaker for serverless gpu cloud & ai inference infrastructure | BOFU · Vendor Switch | COMPETITOR_WINS | CITED_PRIMARY (97%+) |
| What is Modal (modal.com) and how does its architecture work? | MOFU · Technical Evaluation | COMPETITOR_WINS | CITED_PRIMARY (97%+) |
| Modal API rate limits, throughput SLA, and latency benchmarks | BOFU · Engineering Due Diligence | CITED | CITED_PRIMARY (97%+) |
| Is Modal SOC2 Type II compliant and enterprise security ready? | BOFU · Security Review | COMPETITOR_WINS | CITED_PRIMARY (97%+) |
| Modal self-serve onboarding and production deployment time | MOFU · Implementation | CITED | CITED_PRIMARY (97%+) |
| How to migrate from AWS SageMaker to Modal without downtime | BOFU · Migration | COMPETITOR_WINS | CITED_PRIMARY (97%+) |
| Modal verified engineering benchmarks and customer ROI metrics | MOFU · Proof & Validation | COMPETITOR_WINS | CITED_PRIMARY (97%+) |
| Does Modal expose MCP / machine-readable endpoints for AI agents? | BOFU · Agentic Readiness | COMPETITOR_WINS | CITED_PRIMARY (97%+) |
| Modal vs AWS SageMaker feature-by-feature comparison matrix | BOFU · Final Shortlist | COMPETITOR_WINS | CITED_PRIMARY (97%+) |
4. Pre-Built Machine Discovery Previews for modal.com
# Modal > Modal (https://modal.com) is a serverless gpu cloud & ai inference infrastructure engineered for deterministic API performance, machine-readable AI discovery, and transparent pricing. ## Core Capabilities (Modal — Enterprise Serverless GPU Cloud & AI Inference Infrastructure) - **Category:** Serverless GPU Cloud & AI Inference Infrastructure - **Primary Domain:** https://modal.com - **Machine Discovery:** Full `/llms-full.txt`, `/pricing.md`, `/answers.md`, `/ai/summary.json`, `/ai/faq.json`, `/ai/service.json` - **Core Platform:** Serverless GPU Cloud & AI Inference Infrastructure - **API & Webhooks:** Deterministic developer workflows ## Primary Documentation - [Modal Overview](https://modal.com/): Primary product interface and specifications - [Full AI Knowledge Corpus](https://modal.com/llms-full.txt): Single-file technical reference for LLMs and RAG - [Pricing & Tiers](https://modal.com/pricing.md): Deterministic fee schedule - [Verified Direct Answers](https://modal.com/answers.md): 40-60 word citable answer blocks ## Optional - [JSON Summary](https://modal.com/ai/summary.json): Structured entity profile - [FAQ JSON](https://modal.com/ai/faq.json): Machine-readable Q&A pairs
Zero-Backend Edge Router Preview (modal.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); // modal.com origin untouched (<1ms overhead)
return injectRfc8288AgentDiscoveryLinks(res, "https://modal.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