AEO Audit is a free tool that scores B2B SaaS websites for AI search visibility — how likely they are to be cited by ChatGPT, Perplexity, and Google AI Overviews when B2B buyers search.

What is AI Engine Optimization (AEO)?

AI Engine Optimization (AEO) is the practice of structuring content, entity signals, and technical infrastructure so that AI engines cite your brand in generated answers. It extends traditional SEO to cover ChatGPT, Perplexity, Gemini, and Google AI Overviews.

Yes. AEO Audit is free. Enter any B2B SaaS brand and receive a full AI visibility score with prioritised recommendations.

How does AEO Audit score websites?

AEO Audit scores across six pillars: AI Visibility (22%), Brand Authority (23%), Content Quality (18%), Platform Optimization (15%), Structured Data (12%), and Technical AEO (10%). Each pillar reflects specific signals that AI engines use when deciding which sources to cite.

Subcategory · AI Citation Index

GPU Cloud

GPU cloud is a three-horse race for AI attention. CoreWeave is the consensus pick — surfaces in 90% of discovery prompts across two engines and wins more head-to-head comparisons than it loses. RunPod and Vast.ai trail within ten points of each other on shortlist share, while Lambda Labs, Oracle, and Microsoft hover in the mid-30s. Below the top tier, Replicate, Modal, and Anyscale each show up as kingmakers in evaluation — they appear in dozens of head-to-head matchups but barely surface in discovery queries, meaning buyers compare them once they know about them but AI rarely volunteers their names. The category is contested — no single brand owns more than half the shortlist, and the kingmaker brands dilute the top tier's share of evaluation wins.

50 discovery queries · 178 head-to-heads · refreshed May 4, 2026

Discovery stage

The shortlist

Across 50 buyer-style "GPU Cloud" queries

Most cited · GPU CloudLive

CoreWeave

coreweave.com

Cited in 45 of 50 buyer questions for GPU Cloud — surfaced by 3 of 3 AI engines.

ChatGPTGeminiClaude

Citation rate

Visibility score87/100

See the full CoreWeave profile→

CoreWeave shows up in 90% of buyer queries about GPU cloud, visible on ChatGPT and Gemini. RunPod lands in 74% of those same queries, Vast.ai in 70%. Lambda Labs, Oracle, and Microsoft each surface in roughly a third of discovery prompts across two engines, while Crusoe Cloud sits at 42%. Replicate and Modal trail further — both surface on two engines but only in 20% and 16% of queries, respectively.

Hover or click a logo to see brand details

X = coverage across discovery prompts · Y = engine diversity · Bubble size = total mentions

Tracked acrossChatGPT,Gemini,Claude

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Score shifts, new entrants, citation gaps — every Monday.

Signal by intent

By topic

Top 5 most-cited brands per intent cluster. Brands with zero citations in a topic are not shown.

Azure Machine Learning

2/13

1/13

1/13

1/13

1/13

1/10

1/10

1/10

1/10

1/10

3/8

2/8

1/8

1/8

1/8

2/7

2/7

2/7

2/7

Azure Machine Learning

2/7

Lambda

3/6

Amazon Web Services

3/6

Azure Machine Learning

2/6

RunPod

2/6

Vast.ai

2/6

Lambda

3/6

Azure Machine Learning

2/6

1/6

1/6

1/6

4/4

4/4

4/4

4/4

3/4

4/4

4/4

4/4

4/4

3/4

≥50% cited

25–49%

<25%

Topics are discovery-stage prompt clusters · gpu-cloud

Evaluation stage

Head-to-head

How brands fare on comparison queries · category median 61/100

CoreWeave wins most head-to-head comparisons, averaging 84 across 19 matchups. Azure Machine Learning scores 81 but appears in only four comparison queries. Replicate, Modal, and Anyscale each appear in 30 or more head-to-heads — Replicate averages 66, while Modal and Anyscale score below the category median at 42 and 48, meaning they lose more matchups than they win. Crusoe Cloud also loses more than it wins, averaging 42 across 19 comparisons.

Hover or click a logo to see brand details

X = head-to-head win rate · Y = number of head-to-head queries · Bubble size = head-to-head exposure

Median win rate 61/100

Each brand's evaluation score averages how AI responds to head-to-head comparison queries that mention them. Above-median brands win their comparisons more often than they lose; bubble size reflects how many head-to-heads they appear in.

Brands to know

In this category

CoreWeave

Consensus pick

Kubernetes-native GPU cloud for AI training

Read brand profile →

RunPod

Serverless GPU pods for inference workloads

Read brand profile →

Vast.ai

Spot-market GPU rental for cost arbitrage

Read brand profile →

Lambda Labs

GPU cloud and on-prem servers for ML

Read brand profile →

Crusoe Cloud

Energy-efficient GPU cloud for large-scale training

Read brand profile →

Citation sources

Where AI pulls citations from

808 citations captured across GPU Cloud prompt runs.

Vendor pages

285

Product, help, and marketing pages from tracked vendors

Independent sources

279

Reviews, encyclopedias, forums, press — not vendor-owned

Buyer questions

What AI cites for top GPU Cloud questions

Buyers ask AI for GPU cloud options filtered by pricing model, deployment speed, and workload — phrasings like 'GPU cloud with reserved instance pricing', 'GPU cloud for video generation models', 'GPU cloud vs on-premise GPU servers'. Head-to-head comparisons dig into specific brands for enterprise AI training or cheap access: 'Nebius vs CoreWeave for enterprise AI', 'TensorDock vs RunPod for cheap GPU access'. The queries skew technical — no trust or conversion prompts in the current set.