Small business=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 39 → 30 of 36
Ensighten
35Judge labels
0First choices
13Negative labels
12 / 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.
Best standing
0% in Tag management for mid-market buyers
Rank 59 of 67 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 50% of its 10 labels there were negative.
What the models named instead of Ensighten →By buyer segmentRead the same way at every buyer size.
Small business31 of 37
0%1 label
under the label threshold
Mid-market59 of 67
0%10 labels
criticized challenger
Enterprise10 of 39
0%24 labels
criticized challenger
In tag management · 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 Ensighten 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 |
|---|---|---|---|---|---|---|---|
| Tag management | GTM data and infrastructure | 0% | 59 of 67 | 50% | 10 | criticized challenger | =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, Ensighten held within the floor in its one category: no change cleared 11 points.
Best category · Tag management · 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 52 → 48 of 56
Enterprise=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 14 → 8 of 37
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| Tag management | 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 52 → 59 of 67 |
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 Ensighten 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 Ensighten 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 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.20 | 0 | 0 | 0 | 1 | 1 |
| Mistral Small | 0 | 0 | 1 | 1 | 2 |
| DeepSeek V4 Flash | 0 | 0 | 1 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 2 | 2 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| 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
Direct3 labelsNone
Paraphrase4 labelsNone
Comparative6 labelsNone
Budget-constrained1 labelNone
Scale-constrained10 labelsNone
Negative11 labelsNone
First choiceAlternativeMentionNegative35 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.
“positioned for organizations that prioritize security, compliance, and centralized control over tags” Perplexity Sonar · Tag management · comparative prompt · alternative
“Need strict enterprise security/compliance controls: Ensighten” GPT-5.4 mini · Tag management · comparative prompt · alternative
“High security and control | Ensighten” GLM 4.7 FlashX · Tag management · comparative 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.
“Traditional enterprise TMS like Ensighten are sometimes recommended to be avoided in favor of more modern or flexible solutions” Mistral Small · Tag management · negative prompt · hard negative
“Legacy player; tracking/privacy concerns (GitHub discussions).<br>- Less modern vs. GTM; fewer updates.” Grok 4.20 · Tag management · negative prompt · soft negative
“Ensighten (due to tracking classification and smaller ecosystem)” Kimi K2 · Tag management · negative prompt · soft negative
“Verdict: Use Caution if Predictable Costs are Critical.” Qwen 3.7 Flash · Tag management · negative prompt · soft negative
Named alongside
The products named in the same answers as Ensighten, over the 35 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Ensighten was named but was not.ShowHide
Named alongside
The products named in the same answers as Ensighten, over the 35 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Ensighten 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 Ensighten. 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 27 of the 35 answers that named Ensighten and are not a share of its labels.
Domains cited
guideflow.com16
improvado.io15
usercentrics.com15
observepoint.com14
checkthat.ai11
gtm-ai-index.com11
lokker.com10
crystallize.com8
g2.com8
tealium.com7
No domain is on file for Ensighten, so its own site is not marked.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Ensighten stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
Where Ensighten stands in Google search beside where it stands in the models' answers.
ShowHideIn search
Google, US estimates- Searches for its name, Google
- 210 a month (“ensighten”)
- AI search demand for its name, est.
- 3 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 59 of 67 in tag management
Segment leader
81%
Google Tag Manager
- First choices
- 0 across its categories
- Named in
- 35 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 Ensighten
What the judge wrote, as written, with how often. The vendor table decides that these count as Ensighten; a claim can dispute any of them.
Ensighten/CHEQ Manage 1
Follow Ensighten
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 Ensighten'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 Ensighten, 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 Ensighten by email, built from the raw record of the edition. It shows:
- where Ensighten 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 Ensighten, 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.