Leader
29Heralded Score, range 22–49
The most visible vulnerability scanners in Spain, October 2026
Most cited source
1citations
From Google AI Overviews
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
| Rank | Brand | Rank change | Heralded Score All | AI | Search | Score trend | Mentioned | Recommended | By engine | Mentioned by | Change |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | | New entry | 29 , range 22–49 | 43#1 | 5#14 | 29
| 29% | 8% | None | First reading | |
| 2 | | New entry | 27 , range 21–46 | 41#2 | 3#16 | 27
| 25% | 10% | None | First reading | |
| 3 | | New entry | 22 , range 3–49 | 14#7 | 35#1 | 22
| 12% | 3% | None | First reading | |
| 4 | | New entry | 22 , range 6–41 | 30#3 | 7#10 | 22
| 15% | 2% | None | First reading | |
| 5 | | New entry | 19 , range 4–49 | 18= #5 | 21#2 | 19
| 10% | 5% | None | First reading | |
| 6 | | New entry | 19 , range 6–33 | 30#4 | 0= #21 | 19
| 13% | 3% | None | First reading | |
| 7 | | New entry | 15 , range 4–43 | 18= #5 | 9#7 | 15
| 9% | 4% | None | First reading | |
| 8 | | New entry | 10 , range 1–45 | 5#11 | 18#3 | 10
| 5% | 1% | None | First reading | |
| 9 | | New entry | 7 , range 1–38 | 5#9 | 10#5 | 7
| 6% | 0% | None | First reading | |
| 10 | | New entry | 6 , range 2–35 | 6#8 | 7#11 | 6
| 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 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 | | Reference | 1.7% | 1 of 4 | 1 | Not read |
| 2 | | Reference | 1.7% | 1 of 4 | 1 | Not read |
Questions asked
| Question | Language | Most recommended |
|---|---|---|
| ¿Qué escáner de vulnerabilidades debería usar un equipo de seguridad para detectar fallos de software? | Spanish | |
| ¿Qué herramienta puede analizar nuestras aplicaciones en busca de vulnerabilidades de seguridad? | Spanish | |
| ¿Cómo pueden los equipos de ingeniería pequeños analizar el código en busca de vulnerabilidades? | Spanish | |
| ¿Qué puede ayudar a los desarrolladores a detectar vulnerabilidades antes del lanzamiento? | Spanish | No brand recommended |
| ¿Cómo puedo encontrar vulnerabilidades en todas nuestras aplicaciones? | Spanish | |
| ¿Cómo podemos detectar fallos de seguridad en el código antes de desplegarlo? | Spanish | No brand recommended |
| ¿Cómo puede mi equipo encontrar y priorizar vulnerabilidades de software? | Spanish | |
| ¿Cómo puedo comprobar si nuestro software tiene vulnerabilidades conocidas? | Spanish | |
| ¿Deberíamos analizar el código fuente o las aplicaciones en ejecución para encontrar vulnerabilidades? | Spanish | No brand recommended |
| ¿Qué funciona mejor para detectar fallos: las revisiones manuales o los análisis automatizados? | Spanish | 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.