GTM AI Index

Index › Vendors › WiserReview · September 2026 Edition

1 category · Named, not ranked

WiserReview

7Judge labels

2First choices

0Negative labels

4 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-09-16.3, every buyer segment counted.

Standing

2 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. WiserReview was named 2 times in Reviews, where Birdeye led with 26%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business18 of 83

under the label threshold

Mid-market14 of 103

under the label threshold

Enterprisenot named

No model named it for this buyer.

In reviews · 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 WiserReview 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
Review and reputation management	Marketing	2%	14 of 103	0%	2	under 10 labels · led by Birdeye at 26%

Movement

This is the first edition on this tier, so no move can be computed for WiserReview yet. The next is due October 1, 2026. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated WiserReview across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

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

Direct1 labelNone

Paraphrase0 labelsNone

Comparative2 labelsNone

Budget-constrained2 labels2

Scale-constrained0 labelsNone

Negative2 labelsNone

First choiceAlternativeMentionNegative7 labels in all, every segment counted; 2 of the 2 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.

“the best choice is usually WiserReview if you want the lowest-cost all-in-one option” Perplexity Sonar · Reviews · budget prompt · first choice

“from $9/month, affordable entry point” DeepSeek V4 Flash · Reviews · negative 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 WiserReview, over the 7 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and WiserReview was named but was not.

ProductSame answerTook the first choice insteadHead to head

NiceJob7 of 73Not in the top three

Birdeye5 of 70Not in the top three

Podium4 of 70Not in the top three

BrightLocal3 of 70Not in the top three

REVIEWS.io3 of 70Not in the top three

Reputation3 of 70Not in the top three

ReviewGrower2 of 71Not in the top three

Reviewflowz2 of 71Not in the top three

EmbedReviews2 of 70Not in the top three

EmbedSocial2 of 70Not in the top three

A head-to-head page exists where both products are in a category's top three. 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 WiserReview. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 4 of the 7 answers that named WiserReview and are not a share of its labels.

Domains cited

appfollow.io4

embedsocial.com4

learn.g2.com4

usa.inquirer.net4

wiserreview.comYour site4

zapier.com4

guideflow.com3

niftybuttons.com3

birdeye.com2

gartner.com2

Thirty of the thirty-four domain citations in answers naming WiserReview came from somebody else's page.

Pages cited

appfollow.io/blog/reputation-management-software4

learn.g2.com/best-review-management-software4

usa.inquirer.net/191823/best-reputation-management-software4

wiserreview.com/blog/online-reputation-management-software4

zapier.com/blog/review-management-software4

appfollow.io/blog/review-management-software3

embedsocial.com/blog/best-reviews-management-software3

learn.g2.com/best-online-reputation-management-tools3

Pages are listed as the models cited them.

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 WiserReview'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 WiserReview, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at wiserreview.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.