HR AI Index

Index › Vendors › Google Alerts · September 2026 Edition

1 category · Named, not ranked

Google Alerts

1Judge labels

0First choices

0Negative labels

1 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, 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. Google Alerts was named 1 time in Recruiting CRM, where Lever led with 20%. 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-market60 of 88

under the label threshold

Enterprisenot named

No model named it for this buyer.

In recruiting crm · 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 Alerts 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
Recruiting CRM and sourcing	Talent acquisition	0%	60 of 88	0%	1	under 10 labels · led by Lever at 20%

Movement

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

Model	Mention	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
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	1	1

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

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained1 labelNone

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.

No positive label carried a quote.

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 Alerts, over the 1 answer that named it. Took the first choice instead counts the answers where the other product was the first choice and Google Alerts was named but was not.

ProductSame answerTook the first choice insteadHead to head

Pin1 of 11Not in the top three

Fetcher1 of 10Not in the top three

Gem1 of 10Not in the top three

Giig1 of 10Not in the top three

GoHire1 of 10Not in the top three

Indeed Resume Database1 of 10Not in the top three

Juicebox1 of 10Not in the top three

LinkedIn Recruiter1 of 10Not in the top three

RecruitingCRM1 of 10Not in the top three

SeekOut1 of 10Not 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 Google Alerts. 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 1 of the 1 answers that named Google Alerts and are not a share of its labels.

Domains cited

hireez.com1

hiretruffle.com1

juicebox.ai1

noon.ai1

pin.com1

recruitingcrm.com1

selectsoftwarereviews.com1

wiza.co1

Eight of the eight domain citations in answers naming Google Alerts came from somebody else's page.

Pages cited

hireez.com/blog/free-online-recruiting-resources1

hiretruffle.com/blog/sourcing-tools-for-recruiters1

juicebox.ai/blog/recruiting-software-for-small-business1

noon.ai/blog/articles/264-pin-review1

pin.com/1

pin.com/blog/candidate-sourcing-software1

pin.com/blog/candidate-sourcing-tools1

pin.com/features/ai-sourcing1

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 Google Alerts'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 Alerts, 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 google.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.