GEO for Cybersecurity
How AI engines choose and recommend cybersecurity companies today.
We run real buyer prompts against ChatGPT, Gemini, Perplexity with web search on, and record which cybersecurity companies they name and which sources they cite. This page is one live view into that dataset - it updates as new probes land.
What buyers ask AI
Real questions people put to AI assistants about cybersecurity companies.
What AI actually recommends
Data as of July 18, 2026Live answers per engine - exactly what each one named, in order.
| Prompt | ChatGPT | Gemini | Perplexity |
|---|---|---|---|
| Best endpoint protection for small business |
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| Best SIEM tool |
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| Best penetration testing company |
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| Best password manager for business |
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| Best managed security service provider |
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AI ranking factors
Where these engines actually look before naming anyone - citation share by source type.
Shares are computed from the sources engines actually grounded on in our security probes - not an editorial guess. Unknown domains land in “other” and get reviewed monthly.
The United States sources that matter for cybersecurity companies
Engine comparison
How differently each engine sources its answers - share of that engine's citations per source type.
| Source | ChatGPT | Perplexity |
|---|---|---|
| Reviews | ★★★★★ | ★★★★★ |
| News / PR | ★★★★★ | ★★★★★ |
Stars are banded from real citation shares in this vertical - hover any cell for the exact number.
How cybersecurity companies win AI visibility
What the data above means in practice - and the playbook that follows from it.
Security buying runs on institutional trust, and AI answers mirror that: the analyst layer - Gartner (Magic Quadrants, Peer Insights), Forrester Waves, MITRE ATT&CK evaluations - carries more citation weight here than in any other B2B vertical we track. Engines treat analyst placement as pre-validated vendor ranking, so “best SIEM” answers often read like a Magic Quadrant summary with prices attached. For vendors this cuts both ways: analyst presence compounds into AI visibility automatically, while challengers outside the reports must build their evidence through the practitioner layer instead - which is genuinely possible, because engines blend both.
That practitioner layer is unusually influential and unusually skeptical. r/sysadmin, r/netsec, r/msp and Hacker News threads are where real deployment experience lives - “we ran X for two years, here’s what broke” - and Perplexity in particular quotes these threads directly. Security practitioners are hostile to astroturf and quick to name vendors that earn trust through behavior: responsive support stories, transparent postmortems, sane licensing. A vendor whose community reputation is genuine accumulates exactly the kind of citations that offset missing analyst coverage for the SMB-shaped prompts (“best endpoint protection for small business”) where big-enterprise reports are least relevant.
Cover the review layer completely
G2, PeerSpot and Gartner Peer Insights profiles current and earning detailed reviews - the layer engines blend with analyst data for every shortlist.
Publish original research
CVE write-ups, threat reports, incident analyses with real data. Research citations build authority that product marketing can't.
Earn practitioner trust
Be genuinely useful in r/sysadmin, r/netsec and vendor-neutral communities. Deployment stories from real users are prime AI citations.
Make compliance machine-readable
SOC 2, ISO 27001, trust center, status page - stated in plain text engines can quote. Compliance-shaped prompts filter on exactly this.
Build honest comparison content
“[You] vs [leader]” pages with real trade-offs, and use-case pages for the segments where incumbents are weak (SMB, MSP).
Track your category prompts
Run the buyer prompts monthly per engine, note the analyst/community citation balance for your category, and invest where you're absent.
FAQ
Answers to common questions about this report.
What is GEO for cybersecurity companies?
Which sources do AI engines cite for security vendors?
Can a vendor outside the Magic Quadrant still win AI answers?
How is this data collected?
How can my company get started?
See where your company appears across all AI engines.
The data above is the industry view. Run a free scan to get the same report for your company: where you show up, who outranks you, and what to fix first.
