Leader
29Heralded Score, range 2–49
The most visible vulnerability scanners in Italy, October 2026
Most cited source
22citations
From ChatGPT
Where engines disagree most
1/4engines put it in their top three
Top three on ChatGPT, not on Google AI Mode, Gemini and Google AI Overviews
Brands
| Rank | Brand | Rank change | Heralded Score All | AI | Search | Score trend | Mentioned | Recommended | By engine | Mentioned by | Change |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | | New entry | 29 , range 2–49 | 8#6 | 65#1 | 29
| 10% | 4% | None | First reading | |
| 2 | | New entry | 26 , range 2–49 | 9#4 | 55#2 | 26
| 9% | 6% | None | First reading | |
| 3 | | New entry | 22 , range 13–53 | 34#1 | 2= #12 | 22
| 19% | 4% | | First reading | |
| 4 | | New entry | 20 , range 1–45 | 4#10 | 47#4 | 20
| 7% | 2% | | First reading | |
| 5 | | New entry | 20 , range 6–47 | 31#2 | 0= #17 | 20
| 14% | 4% | | First reading | |
| 6 | | New entry | 20 , range 6–47 | 31#3 | 0= #17 | 20
| 15% | 3% | | First reading | |
| 7 | | New entry | 9 , range 1–45 | 5#9 | 16#7 | 9
| 6% | 1% | None | First reading | |
| 8 | | New entry | 5 , range 2–46 | 7#7 | 2= #12 | 5
| 6% | 1% | None | First reading | |
| 9 | | New entry | 5 , range 2–43 | 8#5 | 0= #17 | 5
| 7% | 1% | None | First reading | |
| 10 | | New entry | 4 , range 1–42 | 6#8 | 0= #17 | 4
| 5% | 1% | 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 |
|---|---|---|---|---|---|---|
| 11 | | Vendor site | 3.3% | 2 of 4 | 1 | Not read |
| 12 | | Vendor site | 3.3% | 2 of 4 | 1 | Not read |
| 13 | | Vendor site | 3.3% | 2 of 4 | 2 | Not read |
| 14 | | Vendor site | 1.7% | 1 of 4 | 1 | Not read |
| 15 | | Vendor site | 1.7% | 1 of 4 | 1 | Not read |
| 16 | | Vendor site | 1.7% | 1 of 4 | 1 | Not read |
| 17 | | Vendor site | 1.7% | 1 of 4 | 1 | Not read |
| 18 | | Vendor site | 1.7% | 1 of 4 | 1 | Not read |
| 19 | | Vendor site | 1.7% | 1 of 4 | 1 | Not read |
| 20 | | Vendor site | 1.7% | 1 of 4 | 1 | Not read |
Questions asked
| Question | Language | Most recommended |
|---|---|---|
| Quale scanner di vulnerabilità dovrebbe usare un team di sicurezza per individuare le falle nel software? | Italian | |
| Quale strumento può analizzare le nostre applicazioni alla ricerca di vulnerabilità? | Italian | |
| Come possono i piccoli team di sviluppo analizzare il codice per individuare vulnerabilità? | Italian | No brand recommended |
| Cosa può aiutare gli sviluppatori a individuare le vulnerabilità prima del rilascio? | Italian | No brand recommended |
| Come posso individuare le vulnerabilità in tutte le nostre applicazioni? | Italian | No brand recommended |
| Come possiamo individuare le falle di sicurezza nel codice prima della messa in produzione? | Italian | No brand recommended |
| Come può il mio team individuare e stabilire la priorità delle vulnerabilità software? | Italian | No brand recommended |
| Come faccio a verificare se il nostro software presenta vulnerabilità note? | Italian | |
| Dovremmo analizzare il codice sorgente o le applicazioni in esecuzione per individuare vulnerabilità? | Italian | No brand recommended |
| Cosa funziona meglio per individuare le falle: revisioni manuali o scansioni automatiche? | Italian | 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.