Leader
27Heralded Score, range 16–55
The most visible vulnerability scanners in Netherlands, October 2026
Brands
| Rank | Brand | Rank change | Heralded Score All | AI | Search | Score trend | Mentioned | Recommended | By engine | Mentioned by | Change |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | | New entry | 27 , range 16–55 | 35#2 | 14#11 | 27
| 22% | 4% | | First reading | |
| 2 | | New entry | 22 , range 17–55 | 36#1 | 0= #19 | 22
| 20% | 5% | | First reading | |
| 3 | | New entry | 19 , range 2–50 | 9#5 | 35= #3 | 19
| 8% | 5% | None | First reading | |
| 4 | | New entry | 18 , range 2–49 | 7#6 | 38#2 | 18
| 8% | 3% | None | First reading | |
| 5 | | New entry | 16 , range 1–48 | 5= #7 | 35= #3 | 16
| 5% | 3% | None | First reading | |
| 6 | | New entry | 13 , range 4–50 | 21#3 | 0= #19 | 13
| 11% | 2% | | First reading | |
| 7 | | New entry | 12 , range 1–44 | 4#9 | 26= #5 | 12
| 5% | 1% | None | First reading | |
| 8 | | New entry | 11 , range 1–47 | 5= #7 | 21#9 | 11
| 5% | 3% | None | First reading | |
| 9 | | New entry | 6 , range 3–48 | 10#4 | 0= #19 | 6
| 10% | 0% | | First reading | |
| 10 | | New entry | 2 , range 1–42 | 4#10 | 0= #19 | 2
| 4% | 0% | None | First reading |
“=” marks brands whose score ranges overlap, so the test cannot separate them. Every brand named in at least three answers is ranked. AI and Search give each brand’s score and rank on that side alone. By engine has one dot per engine (ChatGPT, Google AI Overviews, Gemini and Google AI Mode), darker the more often it names the brand.
Most cited sources
| Rank | Source | Type | Cited in | Engines | Pages cited | Brands its pages mention |
|---|---|---|---|---|---|---|
| 1 | | Community | 26.7% | 3 of 4 | 22 | Not read |
| 2 | | Community | 15.0% | 1 of 4 | 11 | 13 |
| 3 | | Community | 5.0% | 1 of 4 | 3 | Not read |
| 4 | | Community | 1.7% | 1 of 4 | 2 | Not read |
| 5 | | Community | 3.3% | 1 of 4 | 2 | Not read |
| 6 | | Community | 1.7% | 1 of 4 | 1 | Not read |
| 7 | | Community | 1.7% | 1 of 4 | 1 | Not read |
| 8 | | Community | 1.7% | 1 of 4 | 1 | Not read |
| 9 |  wordpress.com | Community | 1.7% | 1 of 4 | 1 | Not read |
Questions asked
| Question | Language | Most recommended |
|---|---|---|
| Welke kwetsbaarheidsscanner kan een securityteam gebruiken om softwarefouten op te sporen? | Dutch | |
| Met welke tool kunnen we onze applicaties scannen op beveiligingslekken? | Dutch | |
| Hoe kunnen kleine ontwikkelteams hun code scannen op kwetsbaarheden? | Dutch | |
| Wat helpt ontwikkelaars om kwetsbaarheden op te sporen voordat software wordt uitgebracht? | Dutch | No brand recommended |
| Hoe kan ik kwetsbaarheden in al onze applicaties opsporen? | Dutch | |
| Hoe sporen we beveiligingslekken in code op voordat we die uitrollen? | Dutch | No brand recommended |
| Hoe kan mijn team softwarekwetsbaarheden opsporen en prioriteren? | Dutch | No brand recommended |
| Hoe controleer ik of onze software bekende kwetsbaarheden bevat? | Dutch | |
| Kunnen we kwetsbaarheden beter opsporen door broncode of draaiende applicaties te scannen? | Dutch | No brand recommended |
| Wat werkt beter om fouten op te sporen: handmatige reviews of geautomatiseerde scans? | Dutch | No brand recommended |
Each engine's top three
Related leaderboards
Method
Each leaderboard ranks brands on two sides. AI is how ChatGPT, Gemini, Google AI Overviews and Google AI Mode answer the board's buyer questions. Search is Google's top 10 results for the keywords behind those questions. All combines the two, where Search is measured.
For the AI side, each month Heralded asks every engine the same buyer questions, twice each, and reads every answer. An answer counts 0 for a brand it leaves out, 50 for a brand it names and 100 for a brand it recommends, and the Heralded Score is built from those. A brand named in at least three answers gets a score and a place.