Index › IT › Products › GCP · November 2026 Edition
4 categories · Named, not ranked

GCP

–Too few to rank
7/14Models named it
0First choices
12Warnings
November 2026 Edition · all company sizes counted.
Ranked inCloud hosting #93 mid-marketManaged relational databases #78API security platforms #105Cloud-native application protection #69
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. GCP has 6.

Why models recommend it

No positive label carried a quote.

What gives them pause

“Avoid the Big 3 (AWS, Azure, GCP) unless you're already invested”DeepSeek V4 Flash · Budget-constrained question · warning
“Choose AWS/Azure/GCP only if you need their broader enterprise ecosystem... enough to justify the added cost/complexity.”GPT-5.4 mini · Budget-constrained question · warning
“excellent for entry-level visibility, you should be cautious relying on them exclusively”Qwen 3.7 Flash · Negative question · warning
“basic AWS/GCP/Azure WAF integrations ... they struggle with modern API threats”Grok 4.20 · Negative question · warning

Also on the shortlist

The products named in the same answers as GCP, over the 20 answers that named it, and how often each was the first choice instead.

A side-by-side page exists where both products are among a category's top eight.

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named GCP came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 12 of the 20 answers that named GCP and are not a share of its labels.

By model

How each model answered on GCP across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500000
GPT-5.4 mini00011
Gemini 3.5 Flash00011
Perplexity Sonar00000
Grok 4.2000022
Mistral Small00000
DeepSeek V4 Flash00011
Llama 4 Maverick00000
Qwen 3.7 Flash00011
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000