AI Visibility Index / Industries / GPU cloud & AI inference

Most AI-visible AI inference platforms (2026)

We scored 17 AI inference platforms on how easily ChatGPT, Perplexity, Claude and AI agents can find, understand and use them. Hyperbolic leads with 96/100. Data from our crawl on October 18, 2026; scores are a homepage snapshot, not live.

85

AI inference platforms average score

86

Whole-index average (-1 for this industry)

82%

of these sites miss “Question & answer content”

#ProductScoreCrawlersContentSchemaAgents
1Hyperbolic
hyperbolic.xyz
9610010010083
1Runpod
runpod.io
9610010010083
1Vast.ai
vast.ai
9610087100100
4Modal
modal.com
951009410083
5Together AI
together.ai
91899410083
6Fireworks AI
fireworks.ai
891008910064
7Lambda
lambdalabs.com
88100896783
8Lepton AI
lepton.ai
87100946771
8Novita AI
novita.ai
871009420100
8SambaNova
sambanova.ai
871009320100
11Anyscale
anyscale.com
861009410047
11CoreWeave
coreweave.com
861009410047
13Baseten
baseten.co
82100892083
14Paperspace
paperspace.com
7495832064
15DeepInfra
deepinfra.com
73100852047
16Cerebras
cerebras.ai
68100782038
17Groq
groq.com
59100462038

Sub-scores: Crawlers = AI crawler access, Content = answer-engine content, Schema = structured data, Agents = agent readiness (llms.txt, API/MCP). Ties share a rank.

AI inference platforms vs the whole index

AreaThis industryAll 538 sites
Overall score8586
AI crawler access9997
Answer-engine content8889
Structured data6371
Agent readiness7176

Most common gaps among AI inference platforms

Question & answer content82% (index: 71%)
Fix: Add an FAQ answering the exact questions buyers ask ChatGPT ("best X for Y", "X vs Y", "how much does X cost").
Machine-usable interface (API / MCP)71% (index: 52%)
Fix: 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 schema53% (index: 37%)
Fix: Add Organization + Product/SoftwareApplication schema with name, url, logo, sameAs (socials), offers.
llms.txt41% (index: 36%)
Fix: Publish the generated llms.txt below at https://yoursite/llms.txt.
One clear H141% (index: 24%)
Fix: Use exactly one H1 that names the product and its core benefit.
JSON-LD structured data41% (index: 33%)
Fix: Add JSON-LD (generated below) so engines know your entity, product and pricing unambiguously.
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FAQ

Which AI inference platforms are the most visible to AI search engines?

In our October 18, 2026 crawl, the top-scoring AI inference platforms were Hyperbolic (96/100), Runpod (96/100), Vast.ai (96/100). The score measures how easily ChatGPT, Perplexity, Claude and AI agents can crawl, understand and use each product's homepage.

How do AI inference platforms compare with the rest of the AI Visibility Index?

The 17 AI inference platforms we track average 85/100, 1 points below the 86/100 average across all 538 SaaS and AI sites in the index.

What is the most common AI visibility gap among AI inference platforms?

82% of the AI inference platforms we checked miss "Question & answer content" (vs 71% across the whole index). Fix: Add an FAQ answering the exact questions buyers ask ChatGPT ("best X for Y", "X vs Y", "how much does X cost").

How is the AI visibility score calculated?

RankRoot checks four areas on each homepage: AI crawler access (robots.txt rules for GPTBot, ClaudeBot, PerplexityBot and others), answer-engine content (title, headings, FAQ-style content, server-rendered text), structured data (JSON-LD, Organization/Product schema) and agent readiness (llms.txt, discoverable API or MCP server). Each area is scored 0 to 100 and combined into one score.

When was this data collected, and can a company update its score?

Scores are a snapshot from our crawler on October 18, 2026. They are not updated automatically. Anyone can rescan a site live for free, and we refresh the index periodically.

My AI inference platform isn't listed. How do I see where it would rank?

Run a free scan at https://getrankroot.com/report. You get the same score and checks, so you can compare it directly with this leaderboard.

Other industry leaderboards

Email marketing & newslettersEmail & messaging APIsSales, CRM & lead generationCustomer support & chatbotsProduct analytics & experimentationFeedback, forms & bug reportingProduct adoption & interactive demosMonitoring & observabilityCode review & code qualityCI/CD & testingGit hosting & engineering intelligenceAI coding assistants & app buildersNo-code & internal tool buildersAPI development & documentationAI models & model APIsAI agent builders & automationAgent tools, MCP & integrationsLLM observability & evalsSearch engines & vector databasesWeb scraping & search APIsDatabases & backend platformsCloud hosting & deploymentData pipelines, BI & document AISecurity, auth & identityPayments, finance & HRAI video & audio creationVoice AI & speechAI meeting assistantsTasks, calendars & schedulingProject & work managementNotes & knowledge basesWebsite builders, CMS & ecommerceSEO & AI search visibilityAI writing assistantsDesign, presentations & AI imagesMedia, file & image APIsBrowsers, search & AI directories

Methodology and full findings: State of AI Visibility 2026. Industry labels are assigned by RankRoot from each product's own homepage description.