Leader
40Heralded Score, range 33–50
The most visible vulnerability scanners in Germany, October 2026
Most cited source
20citations
From Google AI Overviews and ChatGPT
Where engines disagree most
1/4engines put it in their top three
Top three on Gemini, not on Google AI Mode, Google AI Overviews and ChatGPT
Brands
Search is not measured for this board yet, so it ranks on AI answers.
| Rank | Brand | Rank change | Heralded Score All | AI | Score trend | Mentioned | Recommended | By engine | Mentioned by | Change |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | | New entry | 40 , range 33–50 | 40#1 | 40
| 36% | 15% | None | First reading | |
| 2 | | New entry | 39 , range 32–48 | 39#2 | 39
| 35% | 13% | None | First reading | |
| 3 | | New entry | 36 , range 30–46 | 36#3 | 36
| 34% | 8% | None | First reading | |
| 4 | | New entry | 32 , range 11–40 | 32#4 | 32
| 23% | 6% | None | First reading | |
| 5 | | New entry | 10 , range 4–34 | 10#5 | 10
| 9% | 6% | None | First reading | |
| 6 | | New entry | 9 , range 4–33 | 9#6 | 9
| 10% | 3% | None | First reading | |
| 7 | | New entry | 8 , range 3–33 | 8#7 | 8
| 9% | 3% | None | First reading | |
| 8 | | New entry | 5 , range 1–30 | 5#8 | 5
| 6% | 2% | None | First reading | |
| 9 | | New entry | 5 , range 1–29 | 5#9 | 5
| 5% | 2% | None | First reading | |
| 10 | | New entry | 4 , range 1–24 | 4#10 | 4
| 6% | 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 gives each brand’s score and rank from the engines’ answers; Search is not measured for this board yet. 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 | 18.3% | 2 of 4 | 16 | Not read |
| 2 | | Community | 10.0% | 1 of 4 | 10 | Not read |
| 3 | | Community | 5.0% | 2 of 4 | 4 | Not read |
| 4 | | Community | 1.7% | 1 of 4 | 3 | 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 |  wordpress.com | Community | 1.7% | 1 of 4 | 1 | Not read |
| 9 | | Community | 1.7% | 1 of 4 | 1 | Not read |
Questions asked
| Question | Language | Most recommended |
|---|---|---|
| how do application scans compare with dependency checks for finding vulnerabilities | English | No brand recommended |
| should developers or security teams own vulnerability scanning | English | No brand recommended |
| what can replace manual security checks before each software release | English | No brand recommended |
| how can we replace spreadsheets for tracking software vulnerabilities | English | |
| what can replace separate scanners for code and dependencies | English | |
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.