Mid-marketnewNew since September 2026: not ranked then, 0% now.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 28 of 67, unchanged
1 category · Named, not rankedEffy
3Judge labels
1First choices
0Negative labels
2 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.7, 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. Effy was named 2 times in Pay equity, where Syndio led with 12%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small businessnot named
0%
No model named it for this buyer.
Mid-market28 of 73
0%2 labels
under the label threshold
Enterprise6 of 68
2%1 label
under the label threshold
In pay equity · 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 Effy 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 |
|---|---|---|---|---|---|---|---|
| Pay equity | Compensation and total rewards | 0% | 28 of 73 | 0% | 2 | under 10 labels · led by Syndio at 12% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, Effy held within the floor in its one category: no change cleared 13 points.
Best category · Pay equity · by segment
EnterprisenewNew since September 2026: not ranked then, 2% now.
2%from 0% in September 2026
Inside the floor by 11 pointsRank 6 of 60, unchanged
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Pay equity | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 28 of 73, 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 Effy 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 Effy 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 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 1 | 0 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| 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
Direct1 labelNone
Paraphrase0 labelsNone
Comparative1 labelNone
Budget-constrained1 label1
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative3 labels in all, every segment counted; 1 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.
“provides pay equity analysis and documentation that can be defended to a regulator or a court” Llama 4 Maverick · Pay equity · direct 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 Effy, over the 3 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Effy was named but was not.ShowHide
Named alongside
The products named in the same answers as Effy, over the 3 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Effy 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 Effy. 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 3 of the 3 answers that named Effy and are not a share of its labels.
Domains cited
effy.aiYour site3
peoplemanagingpeople.com2
captivateiq.com1
compensationtools.net1
guideflow.com1
hibob.com1
hrlineup.com1
linkedin.com1
ravio.com1
recruiterslineup.com1
Ten of the thirteen domain citations in answers naming Effy came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
effy.ai is not in Google's top ten for any of the category's searches. In the answers, Effy takes 0% of first choices and Syndio takes 12%.ShowHide
Search and answers
effy.ai is not in Google's top ten for any of the category's searches. In the answers, Effy takes 0% of first choices and Syndio takes 12%.
ShowHideIn search
Google, US estimatesPosition for “pay equity tools”
–
not in the top ten
Position for “pay equity analysis software”
–
not in the top ten
- Organic visits to its site
- about 40,950 a month
- Searches its site ranks for
- 11,389 · 48 in the top three
- Sites linking to it
- 1,164
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
Ads on Google
None found in Google's ad transparency records for the US
In answers
This editionShare of first choices
0%
rank 28 of 73 in pay equity
Segment leader
12%
Syndio
- First choices
- 1 across its categories
- Named in
- 3 answers
- Its own site cited
- in 3 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 effy.ai
248
subdomains included
Content
134
counted in the table below
Documentation
86
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 99 | undated | Performance management, 360 feedback | ||
| Glossary or explainer | 24 | undated | 360 feedback, Performance management | ||
| Comparison | 8 | undated | Pay equity | ||
| Case study | 3 | undated |
How it is countedHide how it is counted
Every page effy.ai 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. Of its titles that name a category, most name performance management (10); 3 name the category the models place it in. Read September 29, 2026.
Follow Effy
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.
The company
Effy is its own company.ShowHide
The company
Effy is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- AI-first performance management software for SMBs—align goals, run fair reviews, and cut admin time by 70% with instant insights.
- For
- Small and medium-sized businesses with 50-500 employees
- Price stated
- Free for up to 5 users; starting price per seat per month effy.ai
- Starting price
- 3 effy.ai
- Free plan or trial
- Free for up to 5 users with no time limit effy.ai
- Certifications
- GDPR compliant
- Hosting
- EU region available for data residency requirements
- Customers named
- NxEleos HealthFirst Choice Health
- Not stated on the pages read
- Integrations
What Effy's own pages state, read October 6, 2026: effy.ai, effy.ai/pricing. A claimed page can correct any of 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 Effy'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 Effy, 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 Effy by email, built from the raw record of the edition. It shows:
- where Effy 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 Effy, 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.