Mid-marketnewNew since September 2026: not ranked then, 0% now.
0%from 0% in September 2026
Inside the floor by 13 pointsRank 121 of 138, unchanged
1 category · Named, not rankedSPEC
4Judge labels
0First choices
2Negative labels
3 / 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. SPEC was named 2 times in Compensation benchmarkin, where Pave led with 19%. 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-market125 of 148
0%2 labels
under the label threshold
Enterprise120 of 130
0%2 labels
under the label threshold
In compensation benchmarkin · 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 SPEC 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 |
|---|---|---|---|---|---|---|---|
| Compensation benchmarking data | Compensation and total rewards | 0% | 125 of 148 | 50% | 2 | under 10 labels · led by Pave at 19% | newNew since September 2026: not ranked then, 0% now. |
Movement
Since September 2026, SPEC held within the floor in its one category: no change cleared 13 points.
Best category · Compensation benchmarkin · by segment
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 63 → 106 of 115
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Compensation benchmarkin | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 125 of 148, 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 SPEC 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 SPEC 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 | 1 | 1 |
| 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 | 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 | 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
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative2 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative2 labelsNone
First choiceAlternativeMentionNegative4 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.
“Historical critiques on synthetic workloads not matching real apps; complex tuning can game results.” Grok 4.1 Fast · Compensation benchmarkin · negative prompt · soft negative
Named alongside
The products named in the same answers as SPEC, over the 4 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and SPEC was named but was not.ShowHide
Named alongside
The products named in the same answers as SPEC, over the 4 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and SPEC 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 SPEC. 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 4 of the 4 answers that named SPEC and are not a share of its labels.
Domains cited
gitnux.org4
worldmetrics.org4
wifitalents.com3
zipdo.co3
arxiv.org2
mdpi.com2
24marketreports.com1
aiwiki.ai1
authority-journal.com1
cnet.com1
Twenty-two of the twenty-two domain citations in answers naming SPEC came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on specode.ai
188
subdomains included
Content
153
counted in the table below
Documentation
12
Product · Integration
0 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 141 | 0 | 2026-05-26 | ||
| Comparison | 7 | undated | |||
| Report or ebook | 2 | undated | |||
| Webinar or virtual event | 1 | undated | |||
| Template or tool | 1 | undated | |||
| Glossary or explainer | 1 | undated |
Most recent
- 2026-05-26White label telehealth platform blog
How it is countedHide how it is counted
Every page specode.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. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
Follow SPEC
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
SPEC is its own company.ShowHide
The company
SPEC is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- The fastest way to launch compliant healthcare apps
- For
- Health app founders looking to launch on lean budgets; SMBs developing custom health and wellness apps; App developers tackling healthcare projects; Clinical product and tech executives enhancing provider and patient experiences; Large healthcare organizations improving operational and engineering efficiency
- Price stated
- Pro $1k/m; Custom Starts at $5k/m specode.ai
- Starting price
- 1k specode.ai
- Certifications
- HIPAA compliantHIPAA-compliant from day one
- Customers named
- StanfordMedableAlgoRXBillDecoder
- Not stated on the pages read
- Free plan or trial, integrations, hosting
What SPEC's own pages state, read October 6, 2026: specode.ai. 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 SPEC'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 SPEC, 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 SPEC by email, built from the raw record of the edition. It shows:
- where SPEC 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 SPEC, 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.