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NorthWind northwind.co
last run 2026-09-14 21:48:28

Overview

How NorthWind shows up when people ask AI about your category.

Visibility ?The share of answers that name you. Branded prompts are left out, and an answer surface that did not render is left out entirely.
67%
746 of 1,106 answers first window 6 days, 56 to 71%
Share of voice ?Your mentions divided by all tracked brands' mentions in the same answers. One answer naming you twice counts twice.
28%
of every tracked brand mention
Average position ?The mean rank of your brand in numbered or bulleted lists. Mentions in prose have no rank and are not averaged in.
2.8
where you appear in a ranked list
Citation share ?The share of all cited URLs that point at your own domains.
12%
of cited sources are yours

The race

7 of 22 brands · 6 measured days · 1,106 answers

How often each brand is named, by day. Values at the right edge are the last measured day. Hollow dots rest on fewer than 20 answers. Shaded spans had no run. The 15 brands below the top seven are in the table further down.

answers per day2026-07-19: 162 answers2026-07-22: 16 answers2026-07-29: 236 answers2026-08-06: 236 answers2026-08-15: 236 answers2026-09-14: 220 answersNVIDIA, 2026-07-19: 70% of 162 answersNVIDIA, 2026-07-22: 81% of 16 answers, thin sampleNVIDIA, 2026-07-29: 67% of 236 answersNVIDIA, 2026-08-06: 63% of 236 answersNVIDIA, 2026-08-15: 64% of 236 answersNVIDIA, 2026-09-14: 60% of 220 answersvCluster, 2026-07-19: 17% of 162 answersvCluster, 2026-07-22: 0% of 16 answers, thin samplevCluster, 2026-07-29: 28% of 236 answersvCluster, 2026-08-06: 30% of 236 answersvCluster, 2026-08-15: 29% of 236 answersvCluster, 2026-09-14: 30% of 220 answersCoreWeave, 2026-07-19: 25% of 162 answersCoreWeave, 2026-07-22: 38% of 16 answers, thin sampleCoreWeave, 2026-07-29: 31% of 236 answersCoreWeave, 2026-08-06: 28% of 236 answersCoreWeave, 2026-08-15: 31% of 236 answersCoreWeave, 2026-09-14: 35% of 220 answersLambda, 2026-07-19: 30% of 162 answersLambda, 2026-07-22: 38% of 16 answers, thin sampleLambda, 2026-07-29: 28% of 236 answersLambda, 2026-08-06: 25% of 236 answersLambda, 2026-08-15: 28% of 236 answersLambda, 2026-09-14: 25% of 220 answersNebius, 2026-07-19: 20% of 162 answersNebius, 2026-07-22: 50% of 16 answers, thin sampleNebius, 2026-07-29: 20% of 236 answersNebius, 2026-08-06: 22% of 236 answersNebius, 2026-08-15: 22% of 236 answersNebius, 2026-09-14: 20% of 220 answersMirantis, 2026-07-19: 9.9% of 162 answersMirantis, 2026-07-22: 0% of 16 answers, thin sampleMirantis, 2026-07-29: 17% of 236 answersMirantis, 2026-08-06: 19% of 236 answersMirantis, 2026-08-15: 18% of 236 answersMirantis, 2026-09-14: 16% of 220 answersNorthWind, 2026-07-19: 66% of 162 answersNorthWind, 2026-07-22: 56% of 16 answers, thin sampleNorthWind, 2026-07-29: 66% of 236 answersNorthWind, 2026-08-06: 67% of 236 answersNorthWind, 2026-08-15: 68% of 236 answersNorthWind, 2026-09-14: 71% of 220 answers71%NorthWind60%NVIDIA30%vCluster35%CoreWeave25%Lambda20%Nebius16%Mirantis
  • NorthWind you 71%
  • NVIDIA 60%
  • vCluster 30%
  • CoreWeave 35%
  • Lambda 25%
  • Nebius 20%
  • Mirantis 16%

Share of voice

Of every time a tracked brand was named in this window, how much was you.

NorthWind: 28% of all tracked-brand mentionsNVIDIA: 17% of all tracked-brand mentionsvCluster: 8.7% of all tracked-brand mentionsCoreWeave: 7.6% of all tracked-brand mentionsLambda: 6.9% of all tracked-brand mentionsNebius: 5.7% of all tracked-brand mentionsMirantis: 3.7% of all tracked-brand mentions15 other brands: 21% of all tracked-brand mentions28%your share4,498 of 15,850
  • NorthWind28%
  • NVIDIA17%
  • vCluster8.7%
  • CoreWeave7.6%
  • Lambda6.9%
  • Nebius5.7%
  • Mirantis3.7%
  • 15 other brands21%
    • vMetal3%
    • Red Hat2.8%
    • RunPod2.8%
    • Crusoe2.6%
    • OpenNebula2%
    • Nscale1.9%
    • DigitalOcean1.5%
    • Northflank1.4%
    • Spectro Cloud1.1%
    • Spheron0.9%
    • WhiteFiber0.5%
    • Introl0.4%
    • WWT0.3%
    • BuzzHPC0.2%
    • NeuReality0.2%

By engine

Where each brand stands on each engine. Your dot is the large one; the number on the right is your share of that engine's answers. Grey dots are the brands outside the top seven. Rows run from your strongest engine to your weakest.

Google AI Mode220 answersBuzzHPC on Google AI Mode: 4.1% of 220 answersCrusoe on Google AI Mode: 4.1% of 220 answersDigitalOcean on Google AI Mode: 14% of 220 answersIntrol on Google AI Mode: 8.2% of 220 answersNeuReality on Google AI Mode: 4.1% of 220 answersNorthflank on Google AI Mode: 12% of 220 answersNscale on Google AI Mode: 11% of 220 answersOpenNebula on Google AI Mode: 12% of 220 answersRed Hat on Google AI Mode: 22% of 220 answersRunPod on Google AI Mode: 13% of 220 answersSpectro Cloud on Google AI Mode: 12% of 220 answersSpheron on Google AI Mode: 14% of 220 answersWWT on Google AI Mode: 6.8% of 220 answersWhiteFiber on Google AI Mode: 12% of 220 answersvMetal on Google AI Mode: 21% of 220 answersCoreWeave on Google AI Mode: 43% of 220 answersLambda on Google AI Mode: 28% of 220 answersMirantis on Google AI Mode: 30% of 220 answersNVIDIA on Google AI Mode: 82% of 220 answersNebius on Google AI Mode: 37% of 220 answersvCluster on Google AI Mode: 44% of 220 answersNorthWind on Google AI Mode: 85% of 220 answers85%1st of 22Perplexity224 answersBuzzHPC on Perplexity: 1.3% of 224 answersCrusoe on Perplexity: 8.9% of 224 answersDigitalOcean on Perplexity: 8% of 224 answersIntrol on Perplexity: 1.3% of 224 answersNeuReality on Perplexity: 0.5% of 224 answersNorthflank on Perplexity: 6.7% of 224 answersNscale on Perplexity: 3.6% of 224 answersOpenNebula on Perplexity: 15% of 224 answersRed Hat on Perplexity: 6.7% of 224 answersRunPod on Perplexity: 9.4% of 224 answersSpectro Cloud on Perplexity: 8.5% of 224 answersSpheron on Perplexity: 3.1% of 224 answersWWT on Perplexity: 0.9% of 224 answersWhiteFiber on Perplexity: 0.5% of 224 answersvMetal on Perplexity: 19% of 224 answersCoreWeave on Perplexity: 12% of 224 answersLambda on Perplexity: 19% of 224 answersMirantis on Perplexity: 20% of 224 answersNVIDIA on Perplexity: 57% of 224 answersNebius on Perplexity: 19% of 224 answersvCluster on Perplexity: 32% of 224 answersNorthWind on Perplexity: 83% of 224 answers83%1st of 22Claude224 answersBuzzHPC on Claude: 4.5% of 224 answersCrusoe on Claude: 20% of 224 answersDigitalOcean on Claude: 7.6% of 224 answersIntrol on Claude: 2.2% of 224 answersNeuReality on Claude: 2.7% of 224 answersNorthflank on Claude: 11% of 224 answersNscale on Claude: 13% of 224 answersOpenNebula on Claude: 7.6% of 224 answersRed Hat on Claude: 14% of 224 answersRunPod on Claude: 21% of 224 answersSpectro Cloud on Claude: 4.9% of 224 answersSpheron on Claude: 8.5% of 224 answersWWT on Claude: 1.3% of 224 answersWhiteFiber on Claude: 0.5% of 224 answersvMetal on Claude: 24% of 224 answersCoreWeave on Claude: 38% of 224 answersLambda on Claude: 23% of 224 answersMirantis on Claude: 18% of 224 answersNVIDIA on Claude: 64% of 224 answersNebius on Claude: 26% of 224 answersvCluster on Claude: 37% of 224 answersNorthWind on Claude: 74% of 224 answers74%1st of 22Gemini224 answersBuzzHPC on Gemini: 1.3% of 224 answersCrusoe on Gemini: 4.9% of 224 answersDigitalOcean on Gemini: 14% of 224 answersIntrol on Gemini: 0.5% of 224 answersNeuReality on Gemini: 0.9% of 224 answersNorthflank on Gemini: 7.1% of 224 answersNscale on Gemini: 4.9% of 224 answersOpenNebula on Gemini: 4.9% of 224 answersRed Hat on Gemini: 11% of 224 answersRunPod on Gemini: 12% of 224 answersSpectro Cloud on Gemini: 3.6% of 224 answersSpheron on Gemini: 7.1% of 224 answersWWT on Gemini: 0.5% of 224 answersWhiteFiber on Gemini: 1.3% of 224 answersvMetal on Gemini: 12% of 224 answersCoreWeave on Gemini: 26% of 224 answersLambda on Gemini: 36% of 224 answersMirantis on Gemini: 9.8% of 224 answersNVIDIA on Gemini: 56% of 224 answersNebius on Gemini: 13% of 224 answersvCluster on Gemini: 20% of 224 answersNorthWind on Gemini: 64% of 224 answers64%1st of 22ChatGPT208 answersBuzzHPC on ChatGPT: 1% of 208 answersCrusoe on ChatGPT: 8.2% of 208 answersDigitalOcean on ChatGPT: 2.9% of 208 answersIntrol on ChatGPT: 0% of 208 answersNeuReality on ChatGPT: 0% of 208 answersNorthflank on ChatGPT: 0.5% of 208 answersNscale on ChatGPT: 6.7% of 208 answersOpenNebula on ChatGPT: 2.9% of 208 answersRed Hat on ChatGPT: 13% of 208 answersRunPod on ChatGPT: 8.7% of 208 answersSpectro Cloud on ChatGPT: 3.4% of 208 answersSpheron on ChatGPT: 1.9% of 208 answersWWT on ChatGPT: 0% of 208 answersWhiteFiber on ChatGPT: 0% of 208 answersvMetal on ChatGPT: 1.9% of 208 answersCoreWeave on ChatGPT: 32% of 208 answersLambda on ChatGPT: 31% of 208 answersMirantis on ChatGPT: 3.9% of 208 answersNVIDIA on ChatGPT: 67% of 208 answersNebius on ChatGPT: 12% of 208 answersvCluster on ChatGPT: 2.9% of 208 answersNorthWind on ChatGPT: 32% of 208 answersNVIDIA 67%32%3rd, NVIDIA 67%Google AI Overview6 answers, thinBuzzHPC on Google AI Overview: 0% of 6 answersCrusoe on Google AI Overview: 0% of 6 answersDigitalOcean on Google AI Overview: 100% of 6 answersIntrol on Google AI Overview: 0% of 6 answersNeuReality on Google AI Overview: 0% of 6 answersNorthflank on Google AI Overview: 83% of 6 answersNscale on Google AI Overview: 0% of 6 answersOpenNebula on Google AI Overview: 0% of 6 answersRed Hat on Google AI Overview: 0% of 6 answersRunPod on Google AI Overview: 0% of 6 answersSpectro Cloud on Google AI Overview: 0% of 6 answersSpheron on Google AI Overview: 0% of 6 answersWWT on Google AI Overview: 33% of 6 answersWhiteFiber on Google AI Overview: 0% of 6 answersvMetal on Google AI Overview: 0% of 6 answersCoreWeave on Google AI Overview: 0% of 6 answersLambda on Google AI Overview: 0% of 6 answersMirantis on Google AI Overview: 0% of 6 answersNVIDIA on Google AI Overview: 17% of 6 answersNebius on Google AI Overview: 0% of 6 answersvCluster on Google AI Overview: 0% of 6 answersNorthWind on Google AI Overview: 0% of 6 answersDigitalOcean 100%0%not named

Where you stand

22 brands
BrandSeen inShareAvg position
1 NorthWind you 4498 in 746 answers 67% 28% 2.8
2 NVIDIA 2772 in 716 answers 65% 17% 3.0
3 vCluster 1381 in 300 answers 27% 8.7% 2.9
4 CoreWeave 1200 in 332 answers 30% 7.6% 2.9
5 Lambda 1097 in 300 answers 27% 6.9% 3.1
6 Nebius 904 in 236 answers 21% 5.7% 3.2
7 Mirantis 593 in 179 answers 16% 3.7% 3.2
8 vMetal 470 in 174 answers 16% 3% 2.5
9 Red Hat 445 in 147 answers 13% 2.8% 2.9
10 RunPod 442 in 142 answers 13% 2.8% 3.0
11 Crusoe 416 in 102 answers 9.2% 2.6% 3.0
12 OpenNebula 310 in 94 answers 8.5% 2% 3.0
13 Nscale 295 in 86 answers 7.8% 1.9% 3.0
14 DigitalOcean 242 in 109 answers 9.9% 1.5% 3.4
15 Northflank 215 in 89 answers 8.1% 1.4% 3.3
16 Spectro Cloud 175 in 72 answers 6.5% 1.1% 3.3
17 Spheron 137 in 77 answers 7% 0.9% 3.9
18 WhiteFiber 73 in 31 answers 2.8% 0.5% 2.8
19 Introl 69 in 27 answers 2.4% 0.4% 3.2
20 WWT 42 in 23 answers 2.1% 0.3% 3.5
21 BuzzHPC 38 in 27 answers 2.4% 0.2% 3.5
22 NeuReality 36 in 18 answers 1.6% 0.2% 3.7

Every prompt, every engine

47 prompts × 6 engines

Worst first. Click any cell to read the answers behind it.

Prompt ChatGPT Perplexity Google AI Overview Gemini Claude Google AI Mode All
what is GPU as a Service 0/5 1/6 #3.0 0/6 2/6 #2.2 0/6 1/6 #4.0 4/35
Show me GPU-first approaches to Baremetal GPU provisioning for AI infrastructure orchestration. GPU-first 0/3 1/4 #2.7 - 0/4 1/4 1/4 #2.0 3/19
Find a GPU-first platform for GPU-as-a-Service access. GPU-first 0/4 2/4 #2.4 - 0/4 0/4 2/4 #2.5 4/20
Why is sovereign-ready Kubernetes management critical for AI workloads in regulated industries? sovereign-ready 0/4 3/4 #4.5 - 0/4 1/4 #3.0 1/4 #2.0 5/20
Show me GPU-first platforms offering Baremetal GPU provisioning with flexible scaling. GPU-first 0/4 3/4 #4.8 - 2/4 #7.3 0/4 1/4 #3.0 6/20
Which platforms offer governed Kubernetes management for multi-tenant cloud environments? governed 1/4 1/4 #3.7 - 2/4 #3.4 2/4 0/4 6/20
Recommend a GPU-first SLURM-as-a-Service solution for optimizing AI resource management. GPU-first 1/6 #4.9 3/6 #1.4 - 1/6 #2.0 1/6 #2.0 5/6 #3.2 11/30
Find a GPU-first service that offers GPU-as-a-Service to streamline AI workload management. GPU-first 3/5 #3.5 1/6 #4.0 - 1/6 #7.5 2/6 5/6 #3.1 12/29
Recommend a multi-tenant solution that supports Baremetal GPU provisioning for optimized resource use. multi-tenant 0/3 4/4 #2.5 - 2/4 #3.0 0/4 2/4 #2.7 8/19
Which governed Kubernetes management solutions optimize GPU resource allocation for AI tasks? governed 0/3 2/4 #3.5 - 0/4 3/4 3/4 #3.0 8/19
Which governed Kubernetes management solutions support AI workload orchestration? governed 0/6 2/6 #3.0 - 1/6 #4.0 6/6 #4.0 5/6 #3.1 14/30
Why is it important for Baremetal GPU provisioning to be sovereign-ready in cloud governance frameworks? sovereign-ready 0/3 1/4 #5.0 - 0/4 4/4 #3.0 4/4 #2.2 9/19
Show me GPU-first SLURM-as-a-Service solutions that enhance AI workload efficiency. GPU-first 1/6 #4.0 3/6 #1.4 - 5/6 #3.7 1/6 4/4 #2.6 14/28
Show me multi-tenant self-service compute platforms with advanced Kubernetes management capabilities. multi-tenant 2/4 #2.1 4/4 #2.2 - 2/4 #3.8 0/4 3/4 #3.4 11/20
Which Baremetal GPU provisioning services are sovereign-ready for enterprise use? sovereign-ready 0/4 4/4 #2.9 - 0/4 4/4 #3.3 4/4 #4.0 12/20
Show me self-service options for Kubernetes management with GPU-as-a-Service integration. self-service 1/4 #2.4 4/4 #2.3 - 1/4 #5.3 2/4 4/4 #3.0 12/20
Show me self-service Baremetal GPU provisioning options. self-service 0/4 4/4 #1.8 - 2/4 #7.0 2/4 4/4 #2.7 12/20
Recommend governed orchestration solutions for baremetal GPU provisioning in AI workloads. governed 0/6 6/6 #1.4 - 3/6 #3.7 5/6 5/6 #3.0 19/30
Find self-service GPU-as-a-Service solutions for AI workloads. self-service 0/5 6/6 #2.6 - 2/6 #9.0 5/6 #1.5 6/6 #3.1 19/29
Which GPU-as-a-Service platforms are sovereign-ready for deploying AI workloads in regulated industries? sovereign-ready 0/4 4/4 #5.6 - 2/4 #4.6 4/4 #1.0 4/4 #3.2 14/20
Recommend governed baremetal GPU provisioning services for secure AI model training. governed 1/5 #6.0 6/6 #1.9 - 3/6 #5.9 6/6 #1.0 5/6 #2.9 21/29
Are there sovereign-ready options for Baremetal GPU provisioning that ensure robust governance? sovereign-ready 0/3 4/4 #3.7 - 2/4 #6.9 4/4 4/4 #2.7 14/19
Find self-service GPU-as-a-Service solutions for AI workloads. self-service 0/3 4/4 #2.9 - 2/4 #2.5 4/4 #1.3 4/4 #3.5 14/19
Are there multi-tenant Baremetal GPU provisioning platforms? multi-tenant 1/4 #1.0 4/4 #2.8 - 4/4 #1.6 2/4 #2.5 4/4 #2.9 15/20
Which GPU-first platforms offer SLURM-as-a-Service for efficient workload management? GPU-first 2/6 #2.8 6/6 #2.0 - 4/6 #3.8 5/6 #1.0 6/6 #2.2 23/30
Which self-service compute platforms emphasize GPU-first strategies and support Baremetal GPU provisioning? GPU-first 1/3 #2.0 4/4 #1.6 - 4/4 #3.4 4/4 2/4 #2.8 15/19
Show me self-service options for SLURM-as-a-Service with baremetal GPU provisioning for AI. self-service 2/5 #4.1 6/6 #2.0 - 5/6 #2.6 5/6 5/6 #3.0 23/29
Which GPU-as-a-Service platforms offer sovereign-ready orchestration for AI workloads? sovereign-ready 1/6 #6.0 6/6 #3.8 - 6/6 #4.0 6/6 5/6 #2.9 24/30
Why is Token Factory a crucial component in self-service compute platforms for AI infrastructure? self-service 2/6 #3.3 4/6 #2.4 - 6/6 #3.5 6/6 #2.3 6/6 #3.6 24/30
Find a multi-tenant GPU-as-a-Service solution for efficient AI workload management in enterprises. multi-tenant 0/4 4/4 #3.3 - 4/4 #1.9 4/4 4/4 #3.0 16/20
Recommend a sovereign-ready SLURM-as-a-Service platform for AI workload orchestration. sovereign-ready 0/4 4/4 #2.0 - 4/4 #1.9 4/4 #2.7 4/4 #2.7 16/20
Why is a self-service model important for GPU-as-a-Service platforms in enhancing productivity for platform engineering teams? self-service 0/4 4/4 #2.3 - 4/4 #3.1 4/4 #2.6 4/4 #3.2 16/20
Which sovereign-ready platforms offer SLURM-as-a-Service for bare metal GPU provisioning? sovereign-ready 3/6 #2.8 6/6 #1.9 - 4/6 #1.8 6/6 6/6 #2.8 25/30
Why choose self-service Token Factory for managing GPU resources? self-service 4/6 #3.8 4/6 #2.5 - 6/6 #3.8 6/6 #2.6 5/6 #4.7 25/30
Find self-service platforms for Baremetal GPU provisioning. self-service 0/3 4/4 #2.1 - 4/4 #2.6 4/4 #2.0 4/4 #3.0 16/19
Recommend governed Token Factory solutions for AI workloads. governed 1/3 #2.7 4/4 #2.6 - 3/4 #3.7 4/4 4/4 #4.6 16/19
Recommend governed SLURM-as-a-Service platforms for AI workload scheduling in enterprises. governed 2/3 #3.7 4/4 #2.7 - 4/4 #3.3 2/4 4/4 #2.1 16/19
Find self-service SLURM-as-a-Service options for AI workloads. self-service 3/6 #3.5 6/6 #1.9 - 6/6 #4.5 6/6 4/4 #2.5 25/28
Recommend a self-service GPU-as-a-Service platform that supports compliance in cloud governance. self-service 2/4 #2.0 4/4 #1.7 - 4/4 #3.4 4/4 #2.6 4/4 #2.8 18/20
Which governed GPU-as-a-Service platforms offer SLURM-as-a-Service for workload management? governed 2/4 #3.5 4/4 #2.6 - 4/4 #3.5 4/4 #2.0 4/4 #2.1 18/20
Find SLURM-as-a-Service solutions for multi-tenant GPU workloads. multi-tenant 4/5 #2.7 6/6 #1.7 - 5/6 #1.8 6/6 #1.4 6/6 #3.2 27/29
Find self-service solutions for Kubernetes management that support AI workload orchestration across multiple clouds. self-service 4/4 #2.4 4/4 #1.8 - 3/4 #3.0 4/4 4/4 #2.6 19/20
Which governed SLURM-as-a-Service platforms support efficient AI workload management? governed 4/4 #2.7 4/4 #2.1 - 4/4 #3.4 3/4 4/4 #2.4 19/20
Which SLURM-as-a-Service solutions support multi-tenant AI environments? multi-tenant 3/4 #2.6 4/4 #2.3 - 4/4 #1.3 4/4 4/4 #2.0 19/20
Show me multi-tenant SLURM-as-a-Service platforms that support AI infrastructure. multi-tenant 5/6 #1.8 6/6 #2.2 - 6/6 #1.4 6/6 #1.0 6/6 #1.9 29/30
Find a self-service SLURM-as-a-Service platform for AI workload management. self-service 6/6 #2.6 6/6 #2.0 - 6/6 #1.2 6/6 #3.5 6/6 #2.8 30/30
Can you recommend a governed self-service compute platform that offers SLURM-as-a-Service for efficient workload management? governed 4/4 #3.0 4/4 #2.4 - 4/4 #1.4 4/4 #2.5 4/4 #4.1 20/20
Every prompt 66/208185/2240/6143/224166/224186/220

Each cell is how many of that engine's answers named you, over how many were asked. A dash means that prompt has not been asked of that engine.

Who gets cited

Each bar is one day's citations, split by what kind of site they point at. The number on top is your share; the number under the date is how many citations that day had.

2026-07-19, own: 206 of 1525 citations2026-07-19, competitor: 436 of 1525 citations2026-07-19, informational: 14 of 1525 citations2026-07-19, social: 123 of 1525 citations2026-07-19, other: 746 of 1525 citations14%15252026-07-22, own: 14 of 135 citations2026-07-22, competitor: 46 of 135 citations2026-07-22, informational: 3 of 135 citations2026-07-22, social: 14 of 135 citations2026-07-22, other: 58 of 135 citations2026-07-29, own: 303 of 2605 citations2026-07-29, competitor: 827 of 2605 citations2026-07-29, informational: 39 of 2605 citations2026-07-29, social: 265 of 2605 citations2026-07-29, other: 1171 of 2605 citations12%26052026-08-06, own: 298 of 2757 citations2026-08-06, competitor: 862 of 2757 citations2026-08-06, informational: 53 of 2757 citations2026-08-06, social: 302 of 2757 citations2026-08-06, other: 1242 of 2757 citations11%27572026-08-15, own: 318 of 2692 citations2026-08-15, competitor: 897 of 2692 citations2026-08-15, informational: 24 of 2692 citations2026-08-15, social: 230 of 2692 citations2026-08-15, other: 1223 of 2692 citations12%26922026-09-14, own: 313 of 2159 citations2026-09-14, competitor: 736 of 2159 citations2026-09-14, informational: 18 of 2159 citations2026-09-14, social: 104 of 2159 citations2026-09-14, other: 988 of 2159 citations14%2159Jul 19Jul 29Aug 6Aug 15Sep 14
  • own1452 · 12%
  • competitor3804 · 32%
  • informational151 · 1.3%
  • social1038 · 8.7%
  • other5428 · 46%

What the engines searched for

The words in the searches engines ran on the way to their answers. Bigger is more often. This is often not the vocabulary you used.

None of the engines reported their searches yet.

By question type

A question naming a rival lists rivals by construction. Discovery is the one that measures unprompted reach.

  • self-service 81%
    253 of 314 answers
  • governed 69%
    157 of 226 answers
  • GPU-first 45%
    88 of 195 answers
  • sovereign-ready 67%
    119 of 178 answers
  • multi-tenant 79%
    125 of 158 answers
  • uncategorised 11%
    4 of 35 answers

Top cited sites

All sources →
  • northwind.co own 1452
  • vcluster.com competitor 772
  • nvidia.com competitor 504
  • youtube.com social 496
  • nebius.com competitor 307
  • mirantis.com competitor 267
  • lambda.ai competitor 256
  • google.com other 251