Index › Products › Trustpilot · October 2026 Edition

1 category · Named, not ranked

Trustpilot

1Judge labels

0First choices

0Negative labels

1 / 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.

Standing

1 label, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Trustpilot was named 1 time in Cyber risk quant, where CyberSaint CyberStrong led with 25%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market71 of 116

under the label threshold

Enterprisenot named

No model named it for this buyer.

In cyber risk quant · 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 Trustpilot 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.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
Cyber risk quantification	Security operations	0%	71 of 116	0%	1	under 10 labels · led by CyberSaint CyberStrong at 25%

Movement

This is the first edition on this tier, so no move can be computed for Trustpilot 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 Trustpilot across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Alternative	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	1	1
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.1 Fast	0	0
Mistral Small	0	0
DeepSeek V4 Flash	0	0
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	0	0
GLM 4.7 FlashX	0	0
MiniMax M2.5	0	0
GPT-6 Luna	0	0
Muse Glimmer 30B	0	0

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

Direct0 labelsNone

Paraphrase1 labelNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative1 labels in all, every segment counted; 0 of the 0 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.

“look at Trustpilot or G2-style review programs” GPT-5.4 mini · Cyber risk quant · paraphrase 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 Trustpilot, over the 1 answer that named it. Took the first choice instead counts the answers where the other product was the first choice and Trustpilot was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Qualtrics1 of 11Not among the top eight

G21 of 10Not among the top eight

RQ Platform1 of 10Not among the top eight

unitQ1 of 10Not 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 Trustpilot. 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 1 of the 1 answers that named Trustpilot and are not a share of its labels.

Domains cited

capterra.com1

g2.com1

sell.g2.com1

No domain is on file for Trustpilot, so its own site is not marked.

Pages cited

capterra.com/p/232111/RQ-Awards/reviews1

g2.com/products/qualtrics-customer-experience/pricing1

g2.com/products/unitq/reviews1

sell.g2.com/hubfs/External%20Pricing%20Guide%20PDF%20FY26%20-%20Sep.pdf1

Pages are listed as the models cited them.

Search and answers

Where Trustpilot 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: 165,000 a month (“trustpilot”)
AI search demand for its name, est.: 2,892 a month
Its own site: No site of its own on file, so no site figures

In answers

This edition

Share of first choices

rank 71 of 116 in cyber risk quant

Segment leader

25%

CyberSaint CyberStrong

First choices: 0 across its categories
Named in: 1 answers
Its own site cited: No site on file to match

Search figures are US estimates from DataForSEO, read September 28, 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.

Follow Trustpilot

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.

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 Trustpilot'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 Trustpilot, 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 Trustpilot by email, built from the raw record of the edition. It shows:

where Trustpilot 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 Trustpilot, 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.