MCP简体中文Upgrade
Market/Categories/Developer & AI Platform/Runpod

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

Runpodrunpod.io

No product description has been published for this domain yet. Everything below is measured directly.

Developer & AI Platformrunpod.ioTracked since 2026-08-193 discovery sources
94.4KBacklinks
4.7KReferring domains
40Domain authority
+20.4%Referring domains · 90 days

Authority & distribution

How strong is Runpod’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

94.4KCurrent snapshot

Referring domains

4.7KCurrent snapshot

Authority

40Domain authority · category median 22

90-day move

+20.4%Referring domains, last 90 days
At 40, Runpod sits above the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

See the trajectoryOpen the full profile

Traffic & engagement

Where Runpod ranks

Measured · Pro

Measured for this product: global rank, country rank and category rank.

Unlock this profileOpen the full profile

AI referral visibility

Which AI assistants are already sending Runpod traffic?

Measured · Pro

Measured for this product: AI referral traffic, which assistants refer it and which pages those referrals land on.

Unlock this profileOpen the full profile

Product profile

What Runpod is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“Runpod”

No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.

Developer & AI PlatformSeen 2026-08-19 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://www.runpod.io/?ref=futuretools.io

Observed across 3 discovery sources.

Research questions

What the evidence answers about Runpod.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What does Runpod offer - features, surfaces, integrations?

Runpod offers GPU Pods, Serverless compute, and Clusters on a single platform. Features include launching GPU pods in seconds with over 30 GPU SKUs (like B200s and RTX 4090s), global deployment across 31 regions, auto-scaling serverless workers, real-time logs and monitoring, and managed orchestration without custom frameworks.

What is Runpod, and what problem does it solve?

Runpod is an AI developer cloud platform that simplifies cloud GPU access and serverless compute for running AI workloads. It provides on-demand GPUs and a platform to experiment, train, fine-tune, deploy, and scale AI models from a single account without replatforming.

What is Runpod used for, and in what situations?

Runpod is used for running AI workloads such as training models, inference, and batch processing. It is suitable for situations requiring on-demand GPU resources, from initial experimentation to large-scale, auto-scaling production deployments.

Who is Runpod for?

Runpod is designed for AI developers and companies, with its homepage stating it is trusted by over 1 million developers at the world's leading AI companies.

4 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full Runpod intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which 7 of them do it, and the 24 pages they land on.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured