AI Visibility Index / lambda.ai
Is AI compute in the cloud visible to AI?
Train and scale AI on NVIDIA VR200 NVL 72, GB300 NVL 72, B300, B200, H200, H100, and more GPUs. Launch on-demand instances or reserve a cluster. Get started.
88would rank #279 of 538
4 issues holding AI compute in the cloud back
Machine-usable interface (API / MCP)
No OpenAPI spec, MCP server or API docs discovered. AI agents can read about you but can't act (sign up, query, buy).
→ Expose an MCP server or OpenAPI spec and link it from llms.txt so agents can use your product, not just read about it.
Entity / product schema
No Organization / Product / SoftwareApplication schema.
→ Add Organization + Product/SoftwareApplication schema with name, url, logo, sameAs (socials), offers.
One clear H1
2 H1: "Supercomputers for training and inference"
→ Use exactly one H1 that names the product and its core benefit.
Question & answer content
No FAQ section found.
→ Add an FAQ answering the exact questions buyers ask ChatGPT ("best X for Y", "X vs Y", "how much does X cost").
What AI compute in the cloud gets right
Served over HTTPS · robots.txt present · AI search & answer bots allowed · AI training crawlers · XML sitemap · Page is indexable · Fast response · Content visible without JavaScript · Descriptive title tag · Meta description · Scannable section headings · Open Graph tags · Language declared · JSON-LD structured data · Linked brand profiles · llms.txt · Pricing is machine-readable · Docs / help content linked
Work at AI compute in the cloud? Fix every page, not just the homepage.
RankRoot Pro scans up to 50 pages and generates llms.txt, llms-full.txt and per-page JSON-LD.
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