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 103 → 37 of 125
Guru
25Judge labels
0First choices
7Negative labels
10 / 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.
Standing
9 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Guru was named 9 times in Internal talent marketpl and 2 other categories, where Fuel50 led with 47%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business34 of 129
0%7 labels
under the label threshold
Mid-market86 of 102
0%7 labels
under the label threshold
Enterprise82 of 86
0%2 labels
under the label threshold
In internal talent marketpl · 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 Guru 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 |
|---|---|---|---|---|---|---|---|
| Internal talent marketplace | Performance and talent management | 0% | 86 of 102 | 29% | 7 | under 10 labels · led by Fuel50 at 47% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
| Contingent workforce management | Workforce planning and analytics | 0% | 42 of 121 | 0% | 1 | under 10 labels · led by VectorVMS at 16% | newNew since September 2026: not ranked then, 0% now. |
| Internal communications and intranet | Onboarding and employee experience | 0% | 46 of 86 | 0% | 1 | under 10 labels · led by Microsoft Teams at 14% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Guru held within the floor in all three categories: no change cleared 13 points.
Best category · Internal talent marketpl · 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 121 → 79 of 93
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 68 → 72 of 76
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Internal talent marketpl | 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 121 → 86 of 102 |
| Contingent workforce man | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 42 of 121, unchanged |
| Internal communications | 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 56 → 46 of 86 |
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 Guru 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 Guru 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 | 0 | 1 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 1 | 2 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 1 | 1 | 0 | 2 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 1 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 1 | 0 | 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
Direct1 labelNone
Paraphrase1 labelNone
Comparative11 labelsNone
Budget-constrained0 labelsNone
Scale-constrained1 labelNone
Negative11 labels1not counted in share
First choiceAlternativeMentionNegative25 labels in all, every segment counted; 0 of the 1 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.
“Pair it with a lightweight tool like Notion or Guru” Gemini 3.5 Flash · Internal communications · paraphrase prompt · alternative
“Guru: Fewer complaints than peers, transparent fees.” Grok 4.1 Fast · Contingent workforce man · 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.
“Issues: Opaque dispute resolution, disputed payments, fewer recent reviews suggesting declining engagement” Kimi K2 · Internal talent marketpl · negative prompt · hard negative
“it has largely fallen behind in technology and traffic” Gemini 3.5 Flash · Internal talent marketpl · negative prompt · soft negative
Named alongside
The products named in the same answers as Guru, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Guru was named but was not.ShowHide
Named alongside
The products named in the same answers as Guru, over the 25 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Guru 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 Guru. 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 23 of the 25 answers that named Guru and are not a share of its labels.
Domains cited
upwork.com11
g2.com10
golance.com10
fiverr.com9
awesomic.com8
hiringmanager.net8
cotocus.com7
outsourceaccelerator.com7
reddit.com7
hr-ai-index.com6
No domain is on file for Guru, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Guru stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Guru stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 60,500 a month (“guru”)
- AI search demand for its name, est.
- 17,065 a month
- Its own site
- No site of its own on file, so no site figures
In answers
This editionShare of first choices
0%
rank 86 of 102 in internal talent marketpl
Segment leader
47%
Fuel50
- First choices
- 0 across its categories
- Named in
- 25 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.
Names read as Guru
What the judge wrote, as written, with how often. The vendor table decides that these count as Guru; a claim can dispute any of them.
Guru.com 1
Follow Guru
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 Guru'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 Guru, 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 Guru by email, built from the raw record of the edition. It shows:
- where Guru 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 Guru, 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.