Every category where a model named Splink 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
Identity resolution	GTM data and infrastructure	6%	4 of 140	0%	6	under 10 labels · led by Hightouch Adaptive Identity Resolution at 12%	▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

Since September 2026, Splink held within the floor in its one category: no change cleared 11 points.

Best category · Identity · by segment

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 71 → 68 of 125

Mid-market▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

5%from 0% in September 2026

Inside the floor by 6 pointsRank 73 → 6 of 131

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 50 → 54 of 89

All categories · Mid-market

Category	September 2026	Now	Change	Reading	Rank
Identity	0%	5%	▲+5Since September 2026: 0% → 5%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.	Within noise	Rank 73 → 4 of 140

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 Splink across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	First choice	Alternative	Mention	Labels
Claude Haiku 4.5	0	0	0	0
GPT-5.4 mini	0	0	0	0
Gemini 3.5 Flash	1	0	0	1
Perplexity Sonar	0	0	0	0
Grok 4.20	0	1	0	1
Mistral Small	0	0	0	0
DeepSeek V4 Flash	0	0	0	0
Llama 4 Maverick	0	0	0	0
Qwen 3.7 Flash	0	0	0	0
Kimi K2	0	1	0	1
GLM 4.7 FlashX	1	0	1	2
MiniMax M2.5	0	0	0	0
GPT-6 Luna	1	0	0	1
Muse Glimmer 30B	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

Direct0 labelsNone

Paraphrase0 labelsNone

Comparative0 labelsNone

Budget-constrained7 labels3

Scale-constrained1 labelNone

Negative1 labelNone

First choiceAlternativeMentionNegative9 labels in all, every segment counted; 3 of the 3 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.

“Choose Splink if you have Python capabilities, want absolute control, and want to pay $0 in software fees.” Gemini 3.5 Flash · Identity · budget prompt · first choice

“Start with Zingg or Splink (open‑source). Use your existing warehouse or Spark infrastructure.” GLM 4.7 FlashX · Identity · budget prompt · first choice

“my budget pick is Splink—provided you have someone technical to set it up. It's open source” GPT-6 Luna · Identity · budget prompt · first choice

“Open-source tools (Splink, Zingg)—transparent, auditable matching logic” Kimi K2 · Identity · 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.

No model argued against it.

Named alongside

The products named in the same answers as Splink, over the 9 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Splink was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Hightouch Adaptive Identity Resolution6 of 91Not among the top eight

Zingg6 of 91Not among the top eight

LiveRamp Identity Resolution5 of 90Not among the top eight

Twilio Segment Unify5 of 90Not among the top eight

RudderStack4 of 91Not among the top eight

Amperity3 of 90Not among the top eight

Salesforce Data Cloud3 of 90Not among the top eight

Senzing2 of 91Not among the top eight

dbt2 of 91Not among the top eight

AWS Entity Resolution2 of 90Not among the top eight

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 Splink. 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 9 of the 9 answers that named Splink and are not a share of its labels.

Domains cited

tilores.io5

g2.com3

github.com3

guideflow.com3

hightouch.com3

oppora.ai3

prospeo.io3

rudderstack.com3

trackraptor.com3

aboutmartech.com2

No domain is on file for Splink, so its own site is not marked.

Pages cited

tilores.io/content/best-identity-resolution-platforms-20264

guideflow.com/blog/identity-resolution-software3

oppora.ai/blog/identity-resolution-software3

prospeo.io/s/identity-resolution-software3

trackraptor.com/blog/identity-resolution-software-vendors-cost3

aboutmartech.com/blog/identity-resolution-tools2

blog.datachef.co/identity-resolution2

checkthat.ai/answers/what-are-the-best-identity-resolution-tools2

Pages are listed as the models cited them.

Search and answers

Where Splink stands in Google search beside where it stands in the models' answers.

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In search

Google, US estimates

Searches for its name, Google: 2,400 a month (“splink”)
AI search demand for its name, est.: 69 a month
Its own site: No site of its own on file, so no site figures

In answers

This edition

Share of first choices

rank 4 of 140 in identity

Segment leader

12%

Hightouch Adaptive Identity Resolution

First choices: 3 across its categories
Named in: 9 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.

Follow Splink

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 Splink'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 Splink, 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 Splink by email, built from the raw record of the edition. It shows:

where Splink 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 Splink, 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.