Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 17 → 16 of 97
3 categories · RankedGoogle for Jobs
37Judge labels
0First choices
1Negative labels
13 / 14Models named it
3Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, every buyer segment counted.
Best standing
0% in Job advertising for small business buyers
Rank 25 of 111 in the mid-market standing
0 of 14 models made it the first choice on the direct prompt; 0% of its 7 labels there were negative.
By buyer segmentRead the same way at every buyer size.
Small business20 of 102
0%20 labels
accepted challenger
Mid-market25 of 111
0%7 labels
under the label threshold
Enterprise24 of 92
0%2 labels
under the label threshold
In job advertising · 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 for Jobs 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 |
|---|---|---|---|---|---|---|---|
| Job advertising and distribution | Talent acquisition | 0% | 25 of 111 | 0% | 7 | under 10 labels · led by JobTarget at 23% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Recruiting CRM and sourcing | Talent acquisition | 0% | 51 of 111 | 0% | 1 | under 10 labels · led by Gem at 15% | newNew since September 2026: not ranked then, 0% now. |
| Staffing agency platforms | Talent acquisition | 0% | 75 of 136 | 0% | 1 | under 10 labels · led by Zoho Recruit at 22% |
Movement
Since September 2026, Google for Jobs held within the floor in all three categories: no change cleared 13 points.
Best category · Job advertising · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 15 → 23 of 103
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 25 → 21 of 89
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Job advertising | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 15 → 25 of 111 |
| Recruiting CRM | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 51 of 111, unchanged |
| Staffing agency tools | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 75 of 136, unchanged |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 13 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated Google for Jobs across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Google for Jobs across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 0 | 1 | 0 | 1 |
| Grok 4.1 Fast | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 2 | 1 | 0 | 3 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 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
Direct0 labelsNone
Paraphrase1 labelNone
Comparative12 labelsNone
Budget-constrained7 labelsNone
Scale-constrained2 labelsNone
Negative15 labels2not counted in share
First choiceAlternativeMentionNegative37 labels in all, every segment counted; 0 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.
“If you want zero ad spend: Implement Google for Jobs Schema on your career page immediately.” Qwen 3.7 Flash · Job advertising · budget prompt · alternative
“Need cheap/organic visibility too? Make sure your jobs are indexed for Google for Jobs.” GPT-5.4 mini · Job advertising · comparative prompt · alternative
“If you are on a tight budget: Focus on optimizing your career site for Google for Jobs” Gemini 3.5 Flash · Job advertising · comparative prompt · alternative
“combined with free job boards like Indeed and Google for Jobs” Grok 4.1 Fast · Recruiting CRM · budget 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 for Jobs, over the 37 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Google for Jobs was named but was not.ShowHide
Named alongside
The products named in the same answers as Google for Jobs, over the 37 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Google for Jobs was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
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 for Jobs. 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 34 of the 37 answers that named Google for Jobs and are not a share of its labels.
Domains cited
firsthr.app21
selectsoftwarereviews.com15
g2.com14
noon.ai13
pin.com13
100hires.com12
hr-ai-index.com8
bestjobsearchapps.com7
forbes.com6
joveo.com6
115 of the 115 domain citations in answers naming Google for Jobs came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
google.com is not in Google's top ten for any of the category's searches. In the answers, Google for Jobs takes 0% of first choices and JobTarget takes 23%.ShowHide
Search and answers
google.com is not in Google's top ten for any of the category's searches. In the answers, Google for Jobs takes 0% of first choices and JobTarget takes 23%.
ShowHideIn search
Google, US estimatesPosition for “job advertising platforms”
–
not in the top ten
Position for “programmatic job advertising platform”
–
not in the top ten
- Searches for its name, Google
- 4,400 a month (“google for jobs”)
- AI search demand for its name, est.
- 3,115 a month
- Organic visits to its site
- about 1,800,358,416 a month
- Searches its site ranks for
- 16,240,774 · 2,471,277 in the top three
- Sites linking to it
- 28,655,444
- Paid Google search
- 243 searches its ads show for, about 42,266 clicks and $465,944 a month (estimate)
In answers
This editionShare of first choices
0%
rank 25 of 111 in job advertising
Segment leader
23%
JobTarget
- First choices
- 0 across its categories
- Named in
- 37 answers
- Its own site cited
- in 34 of the answers that named it
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.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on google.com
7,607
subdomains included
Content
1,201
counted in the table below
Documentation
137
Product · Integration
18 · 84
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Case study | 707 | undated | |||
| Blog | 372 | 0 | 2018-12-13 | ||
| Glossary or explainer | 51 | 0 | 2018-12-13 | ||
| Comparison | 35 | undated | |||
| News or press | 34 | undated | |||
| Template or tool | 1 | undated | |||
| Podcast or video | 1 | undated |
Most recent
- 2018-12-13Best practices for in app rewarded video ads blog
- 2018-12-13How to monetize your mobile apps with ads blog
- 2018-12-13What is AdMob - Google AdMob glossary or explainer
- 2018-11-19App marketing strategies to grow and monetize your app blog
- 2018-11-19How much revenue can you earn from admob blog
- 2018-11-19How to earn money with in app advertising blog
How it is countedHide how it is counted
Every page google.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read September 29, 2026.
Follow Google for Jobs
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 Google for Jobs'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 for Jobs, 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 for Jobs by email, built from the raw record of the edition. It shows:
- where Google for Jobs 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 for Jobs, 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.