Identity resolution · RankedSenzing
Senzing is an entity resolution engine for identity resolution, which determines when records refer to the same real-world entity · senzing.com ↗
Read the same way at every company size.
The standing depends on who is buying. Every model is asked the same questions for each company size.
FullContact is first at 30%.
Hightouch Adaptive Identity Resolution is first at 28%. 0 of 14 models made it the first choice when asked directly.
Salesforce Data Cloud is first at 40%.
Why models recommend it
“Hightouch or Senzing offer the best combination of capability, scalability, and affordability”DeepSeek V4 Flash · Budget-constrained question · first choice
“Senzing offers entity-centric, evidence-based resolution with embedded SDK for self-managed deployment”Claude Haiku 4.5 · Comparative question · alternative
“Select Senzing or Tilores if you are a software team building application-level identity logic”Gemini 3.5 Flash · Comparative question · alternative
“Best for High-Volume, Deep Engineering / Security-First Matching: Senzing”Gemini 3.5 Flash · Paraphrase question · alternative
What gives them pause
“Senzing: $58,560+ starting price”Kimi K2 · Budget-constrained question · warning
“better for data-heavy ops teams, but potentially overkill or pricier”Grok 4.20 · Direct question · warning
Also on the shortlist
The products named in the same answers as Senzing, over the 41 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 35 | 11 | View → | |
| 33 | 1 | View → | |
| 25 | 5 | Compare → | |
| 21 | 2 | Compare → | |
| 17 | 4 | Compare → | |
| 17 | 0 | View → | |
| 15 | 2 | View → | |
| 14 | 0 | View → | |
| 13 | 1 | Compare → | |
| 12 | 1 | View → |
What the models named instead of Senzing →
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on Senzing's own site, not checked by Gane.
- For
- organizations that need identity intelligence across fraud detection, compliance workflows, customer intelligence, and agentic AI systems
- Price stated
- SDK Pricing
- Starting price
- 58560
- Customers named
- Verisk, Dell, Moneygram, Linkurious, Nice actimize, Code for america, Profound networks, LexisNexis
- Headquarters
- Las Vegas, United States
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 40 of the 41 answers that named Senzing and are not a share of its labels.
Domains cited
146 of the 162 domain citations in answers naming Senzing came from a third party's page. Sixteen were to the publisher's own pages (the Gane Index), which the models cite like any other source; they are not counted as a third party.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 2 | 0 | 0 | 2 |
| Perplexity Sonar | 0 | 0 | 1 | 0 | 1 |
| Grok 4.20 | 0 | 2 | 0 | 1 | 3 |
| Mistral Small | 0 | 1 | 1 | 0 | 2 |
| DeepSeek V4 Flash | 1 | 0 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 1 | 0 | 1 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
What it publishes
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 261 | 9 | 2026-09-14 | ||
| Glossary or explainer | 9 | 0 | 2026-04-14 | Identity | |
| Conference or event | 4 | 0 | 2026-05-26 | ||
| Comparison | 4 | 2 | 2026-07-23 | ||
| News or press | 3 | 0 | 2025-07-07 | ||
| Case study | 1 | 0 | 2025-03-25 | ||
| Podcast or video | 1 | 0 | 2025-04-28 |
Most recent
- 2026-09-14Senzing data breach claim blog
- 2026-08-28Gdotv graph technologies gph v2 ep4 blog
- 2026-08-28Kineviz knowledge maps gph v2 ep5 blog
- 2026-08-28Bridging knowledge data and ai gph v2 ep6 blog
- 2026-08-28Beneficial ownership entity resolution gph v2 ep7 blog
- 2026-08-11Customer 360 ai readiness blog
How it is countedHide how it is counted
Every page senzing.com 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.