Small business▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 0% in September 2026
Inside the floor by 9 pointsRank 77 → 13 of 72
1 category · Named, not rankedOnalytica
14Judge labels
2First choices
2Negative labels
8 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Standing
6 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Onalytica was named 6 times in Influencer, where Favikon led with 23%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
Small business13 of 77
2%1 label
under the label threshold
Mid-market39 of 72
0%6 labels
under the label threshold
Enterprise8 of 61
2%7 labels
under the label threshold
In influencer · 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 Onalytica 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 |
|---|---|---|---|---|---|---|---|
| Influencer platforms | Marketing | 0% | 39 of 72 | 33% | 6 | under 10 labels · led by Favikon at 23% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, Onalytica held within the floor in its one category: no change cleared 11 points.
Best category · Influencer · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 24 → 56 of 71
Enterprise▼−2Since September 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
2%from 4% in September 2026
Inside the floor by 9 pointsRank 6 → 8 of 59
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Influencer | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 24 → 39 of 72 |
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 11 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 Onalytica 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 Onalytica 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 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 1 | 0 | 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 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 1 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 1 | 0 | 1 | 2 |
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
Direct9 labels1
Paraphrase5 labels1
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative14 labels in all, every segment counted; 2 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.
“Consider Onalytica instead if you're building a more strategic B2B thought-leadership or account-based program” GPT-6 Luna · Influencer · direct prompt · alternative
“Consider Onalytica if you want a hybrid managed service approach and have complex campaigns” Kimi K2 · Influencer · direct prompt · alternative
“long-term thought leadership relationship building → Onalytica” Muse Glimmer 30B · Influencer · paraphrase 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.
“Onalytica: Enterprise B2B, one of the original databases... $2K-$10K/month." built for enterprise programs and compliance” Muse Glimmer 30B · Influencer · direct prompt · soft negative
“sits at a much higher price point and is typically geared toward large enterprise programs” Gemini 3.5 Flash · Influencer · direct prompt · soft negative
Named alongside
The products named in the same answers as Onalytica, over the 14 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Onalytica was named but was not.ShowHide
Named alongside
The products named in the same answers as Onalytica, over the 14 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Onalytica 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 Onalytica. 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 14 of the 14 answers that named Onalytica and are not a share of its labels.
Domains cited
archive.com11
directiveconsulting.com9
favikon.com9
skrapp.io9
influencermarketinghub.com7
linkedin.com6
webtonic.io5
guideflow.com4
toptal.com4
dashsocial.com3
Sixty-seven of the sixty-seven domain citations in answers naming Onalytica came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Follow Onalytica
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 Onalytica'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 Onalytica, 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 Onalytica by email, built from the raw record of the edition. It shows:
- where Onalytica 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 Onalytica, 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.