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Index › Products › Google Cloud Load Balancing · October 2026 Edition
Google Cloud · 1 category · Ranked

Google Cloud Load Balancing

63Judge labels
2First choices
7Negative labels
13 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
3% in Load balancers for small business buyers
Rank 15 of 94 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 0% of its 18 labels there were negative.
What the models named instead of Google Cloud Load Balancing →
By buyer segmentRead the same way at every buyer size.
In load balancers · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Google Cloud Load Balancing for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Load balancersNetwork and edge0%15 of 940%18accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Google Cloud Load Balancing yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated Google Cloud Load Balancing across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501304
GPT-5.4 mini00000
Gemini 3.5 Flash01001
Perplexity Sonar00000
Grok 4.1 Fast00101
Mistral Small02002
DeepSeek V4 Flash01001
Llama 4 Maverick00101
Qwen 3.7 Flash00101
Kimi K201001
GLM 4.7 FlashX00202
MiniMax M2.501102
GPT-6 Luna01001
Muse Glimmer 30B00101

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct14 labelsNone
Paraphrase2 labelsNone
Comparative22 labels1not counted in share
Budget-constrained11 labels2
Scale-constrained8 labelsNone
Negative6 labelsNone
First choiceAlternativeMentionNegative63 labels in all, every segment counted; 2 of the 3 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Starts at $0.025/hour for basic rules and offers instant autoscaling, making it a good option if you're on Google Cloud.” Mistral Small · Load balancers · budget prompt · alternative
“AWS Elastic Load Balancing, Azure Load Balancer, or Google Cloud Load Balancing” MiniMax M2.5 · Load balancers · budget prompt · alternative
“Best for: Google Cloud users needing global load distribution and auto-scaling.” Mistral Small · Load balancers · comparative prompt · alternative
“Google Cloud Load Balancing | Google Cloud | GCP workloads” Kimi K2 · Load balancers · comparative prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as Google Cloud Load Balancing, over the 63 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Google Cloud Load Balancing was named but was not.
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ProductSame answerTook the first choice insteadHead to head
HAProxy52 of 639Not among the top eight
NGINX50 of 6310Not among the top eight
AWS Elastic Load Balancing43 of 638Not among the top eight
Azure Load Balancer38 of 631Not among the top eight
F5 BIG-IP27 of 6311Not among the top eight
Cloudflare Load Balancing21 of 634Not among the top eight
Traefik19 of 631Not among the top eight
Citrix ADC18 of 631Not among the top eight
Envoy10 of 630Not among the top eight
AWS Application Load Balancer9 of 630Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Google Cloud Load Balancing. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 51 of the 63 answers that named Google Cloud Load Balancing and are not a share of its labels.

Domains cited

guideflow.com31
g2.com27
learn.g2.com25
loadbalancer.org21
nomios.com21
devopsschool.com20
pickmysoft.com20
aws.amazon.com14
xurrent.com14
spotsaas.com13

206 of the 206 domain citations in answers naming Google Cloud Load Balancing came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

Where Google Cloud Load Balancing stands in Google search beside where it stands in the models' answers.
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In search

Google, US estimates
Searches for its name, Google
320 a month (“google cloud load balancing”)
AI search demand for its name, est.
23 a month
Its own site
It sits on Google Cloud's site (google.com), so there are no site figures for it alone

In answers

This edition
Share of first choices
0%
rank 15 of 94 in load balancers
Segment leader
29%
HAProxy
First choices
2 across its categories
Named in
63 answers
Its own site cited
in 51 of the answers that named it

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

Names read as Google Cloud Load Balancing

What the judge wrote, as written, with how often. The vendor table decides that these count as Google Cloud Load Balancing; a claim can dispute any of them.
Google Cloud Load Balancing (GCLB) 1

Follow Google Cloud Load Balancing

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

The company

Google Cloud is the company behind Google Cloud Load Balancing.
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Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Google Cloud Load Balancing's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Google Cloud Load Balancing, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for Google Cloud Load Balancing by email, built from the raw record of the edition. It shows:

  • where Google Cloud Load Balancing is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name Google Cloud Load Balancing, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.
The subscriber app

A verification link goes to your work email; an address at google.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.