Security awareness training · Named, not rankedClearPhish
Named, too few times to rank.
A product needs 10 labels in a category before a share is stated. ClearPhish has 1.
Why models recommend it
“My practical pick: ClearPhish or usecure if your top priority is keeping spend low.”GPT-5.4 mini · Budget-constrained question · first choice
What gives them pause
No model argued against it.
Also on the shortlist
The products named in the same answers as ClearPhish, over the 1 answer that named it, and how often each was the first choice instead.
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on ClearPhish's own site, not checked by Gane.
- Customers named
- BlackSky, Nucleai, Meraki
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 1 of the 1 answers that named ClearPhish and are not a share of its labels.
Domains cited
Three of the three domain citations in answers naming ClearPhish came from a third party's page.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 1 | 0 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| 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 | 0 | 0 | 0 |
What it publishes
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 144 | 5 | 2026-09-18 | Vector databases | |
| Case study | 27 | 0 | 2025-10-29 | ||
| Comparison | 2 | undated | |||
| Glossary or explainer | 2 | undated | |||
| Webinar or virtual event | 1 | undated |
Most recent
- 2026-09-18From experiment tracking to ai factory what changes when ai becomes a shared enterprise capability blog
- 2026-08-26From Chatbot to Compound AI System: Infrastructure Patterns for Multi-Model, Tool-Using Applications blog
- 2026-07-28Why ai sovereignty is an operational problem blog
- 2026-07-24Managing across schedulers hpc meets kubernetes blog
- 2026-07-06Automating the embodied ai pipeline a clearml and dell robotics proof of concept blog
- 2026-06-25Inference is the new bottleneck how to plan gpu capacity for production ai blog
How it is countedHide how it is counted
Every page clear.ml 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.