The Cybersecurity SaaS AI Visibility Index (2026): Which Security Vendors ChatGPT and Google Actually Name

TL;DR

• We asked ChatGPT and Google the 12 buyer questions security teams actually ask ("best EDR," "best CSPM," "best MDR," and nine more) and counted which vendors each engine named. SentinelOne, Palo Alto Networks, Microsoft Defender, Wiz, and Rapid7 lead the combined index.
• The two engines disagree hard. ChatGPT leans on mega-platforms (CrowdStrike and Cisco appear in four answers each yet never crack Google's top 10). Google surfaces challengers (Kaseya, Huntress, Guardz, Reco) that ChatGPT never names.
• The citation corpus is tiny. A short list of third-party sites feeds most AI answers, and one individual's blog (guptadeepak.com) was pulled 13 times, more than most vendors' own websites. Where AI sources you matters more than how big your brand is.

Short answer

Which cybersecurity vendors do AI engines cite most in 2026? Across 12 buyer-query categories measured on ChatGPT (web search) and Google, the most-named vendors are SentinelOne, Palo Alto Networks, Microsoft Defender, Wiz, and Rapid7. But the ranking splits by engine: ChatGPT favors large incumbents, while Google's results surface smaller challengers. The single strongest driver of AI visibility is not brand size. It is presence in the handful of third-party review sites and analyst pages the engines quote.

The index: who AI names most (2026)

Combined score doubles the ChatGPT signal: (ChatGPT named-count × 2) + Google top-10 count. We weight ChatGPT higher because it is the AI answer itself, while a Google top-10 ranking is only a proxy for what feeds AI Overviews. Higher means more AI visibility across both engines.

A few more vendors tie just outside the top 15 at a combined score of 6 (ManageEngine, and Microsoft's Entra and Sentinel lines). Below the top 15, Google surfaced a long tail of challengers that ChatGPT ignored entirely: Kaseya (4 SERPs), Huntress (3), Exabeam (2), Guardz (2), and Reco (2), plus point solutions like Cynet, Red Canary, Grip Security, and DoControl. On ChatGPT's side, the long tail was more incumbents: Sophos, Mimecast, ESET, Arctic Wolf, Snyk, IBM, Varonis, Bitdefender.

How we measured this

• 12 buyer-query categories, chosen to span the security stack: CSPM, SIEM, EDR, security awareness training, vulnerability management, IAM, SSPM, MDR, ZTNA, email security, AppSec testing, and DSPM.
• ChatGPT, GPT-4o with live web search, asked each question and told to list vendors. We counted the vendors named in each answer.
• Google, live organic results (United States, English), top 10 per query. We counted vendor domains and excluded review sites, analysts, and media from the vendor ranking (they are counted separately below).
• Measured 2026-08-06. Review and aggregator sites (Gartner, G2, Reddit, and the like) were removed from the vendor tables so the index reflects vendors rather than the pages that list them.

One honest limit: Google returned an AI Overview on all 12 queries, but the data endpoint served those as asynchronous placeholders with no readable text, so we could not extract the exact brands inside the AI Overview itself. The Google column reflects organic top-10 presence, which is the strongest available proxy for what feeds those overviews. Perplexity and Gemini are the next engines we will add.

Finding 1: ChatGPT and Google recommend different vendors

This is the headline. The two engines a buyer is most likely to use return substantially different shortlists.

ChatGPT rewards name recall. It leans on large, frequently-written-about platforms: Microsoft Defender (5 of 12), Palo Alto Networks, CrowdStrike, Cisco, and Rapid7 (4 each). CrowdStrike and Cisco are named in a third of all ChatGPT answers yet appear in zero Google top-10 result sets for these queries.

Google rewards page-level ranking. SentinelOne dominates it (8 of 12) on the strength of well-optimized comparison and category pages, and Google surfaces genuine challengers (Kaseya, Huntress, Guardz, Reco) that ChatGPT does not know to mention.

If you are a security vendor, you cannot treat "AI search" as one channel. Winning ChatGPT is a brand-and-corpus problem. Winning Google is still a page-and-ranking problem. The tactics do not transfer.

Finding 2: the citation corpus is tiny, and it is not who you think

When we counted the third-party sources the engines leaned on across all 12 queries, a very short list did most of the work:

Read that second row again. An individual's blog, guptadeepak.com, was pulled 13 times, more than the owned website of nearly every vendor in the index. A single well-structured review site, expertinsights.com, was pulled 21 times. The engines are not reading every vendor's homepage and deciding who is best. They are quoting a handful of pages that already ranked the market, then repeating those rankings.

The practical consequence: a placement in one of these third-party sources moves your AI visibility more than another page on your own site. This is the part most security marketing teams have backwards.

Finding 3: brand size does not equal AI visibility

Some of the largest names in security under-index in AI answers for buyer queries, and some challengers punch far above their size. SentinelOne, a focused player, outscored Microsoft on Google presence. Wiz, founded in 2020, sits level with Microsoft Defender in the combined index. Meanwhile several billion-dollar incumbents appear only when ChatGPT reaches for a familiar name, and vanish the moment a buyer checks Google.

AI visibility is earned by being the answer to a specific question in the sources the engines trust, not by being the biggest logo in the category.

What this means if you are a cybersecurity SaaS

Three moves follow directly from the data:

1. Win the corpus, not just your homepage. Get into the specific third-party review sites and analyst pages the engines quote for your category. For a CSPM vendor that means the pages that rank CSPM tools; for an EDR vendor, the EDR roundups. Presence there compounds across both engines.
2. Structure your own pages to be quoted. The vendors Google surfaces have tight, named, comparison-shaped pages rather than brochure copy. A page an engine can lift a ranked list or a spec table from gets cited. A page that buries the answer in prose gets skipped.
3. Measure both engines separately. A blended "AI visibility" number hides the split this study found. Track ChatGPT and Google as different surfaces, because the work to win each is different.

This is the work we do at LoudFace: we run the measurement, find the exact sources and formats an engine rewards in your category, and build the pages and placements that get you named. We took Toku to 86% AI visibility at position 2.4, a 30-day reading on a program running roughly 18 months, using this same approach in fintech. The security category is wide open by comparison.