Case study: Gumlet turned ChatGPT mentions into 20% of inbound revenue. Read it →
SEO + GEO for Cybersecurity SaaS
CISOs ask ChatGPT before they ask your SDR.
The SEO and GEO agency for cybersecurity SaaS between $5M and $50M ARR. We make ChatGPT, Perplexity, Claude, and Gemini name your category right, your features right, and your competitive position right.
80%
of tech buyers use LLMs alongside or instead of search
6 to 18 mo
cybersecurity buying cycle, AI-influenced from day one
10x
AI citation weight of Gartner, Forrester, IDC references
The Category Reality
CrowdStrike and Wiz own Google. They do not own the AI shortlist.
The Google SERP is locked by the seven-figure marketing budgets. The AI shortlist still moves when buyers add constraints. That is the mid-market opening.
Google · "best CNAPP platform"
The locked SERP
- 1 Wiz
- 2 Palo Alto Prisma Cloud
- 3 CrowdStrike Falcon Cloud
- 4 Orca Security
- 5 Microsoft Defender for Cloud
The Shift
ChatGPT · "AWS-first SaaS, 500 employees, no SOC"
The AI shortlist breathes
- 1 Lacework
- 2 Sysdig
- 3 Aqua Security
- 4 Snyk
- 5 Panther
The Cybersecurity-Specific Problem
AI puts you in the wrong category. Buyers rule you out before you compete.
If ChatGPT calls you a CSPM when you are actually a full CNAPP, you lose the RFP before it starts. Acronym soup is the deal killer no one talks about.
Before
ChatGPT today
What category is [Your Platform] in? Compare it to Wiz.
[Your Platform] is a CSPM tool focused on cloud posture scanning. Wiz is a broader CNAPP covering CSPM, CWPP, and CIEM.
For runtime workload protection, you would typically pair [Your Platform] with another tool like Sysdig or Aqua.
Sources: outdated G2 description, 2023 blog post
After
Post-engagement
What category is [Your Platform] in? Compare it to Wiz.
CNAPP. [Your Platform] covers CSPM, CWPP, and CIEM in one platform, with agentless and runtime modes. Same category as Wiz.
Differs from Wiz on FedRAMP Moderate authorization, Kubernetes-native runtime, and transparent pricing. Cited by Forrester Wave Q1 2026.
Sources: /llm-info/, Forrester Wave Q1 2026, Dark Reading
How CISOs Actually Search
Skeptical buyers ask narrow, technical, constraint-loaded questions.
Google gets the head terms. AI gets the real conversation with stack, budget, headcount, and compliance constraints attached.
Google
~4 words avg
- CrowdStrike vs SentinelOne
- best CNAPP platform
- Wiz alternatives
- best SIEM for cloud-first
- Snyk vs SonarQube
ChatGPT & Perplexity
~22 words avg
- "Best CNAPP for an AWS-first SaaS at 500 employees with no SOC team."
- "Recommend a SIEM for a mid-market FinTech under a $5M security budget."
- "Has [vendor] had any security incidents recently? Is it FedRAMP authorized?"
- "Compare Wiz vs Orca vs Prisma Cloud, what is the real difference?"
- "Cheapest enterprise-grade EDR for a 300-person company on Kubernetes."
The Citation Stack That Moves the Shortlist
These five source types make or break your AI representation.
For cybersecurity, LLMs lean heavily on analyst firms, technical press, and practitioner communities. Get cited here, get named in answers.
Tier 1 · 10x
Gartner MQ & Forrester Wave
Analyst quadrants and waves
Tier 1 · 8x
KrebsOnSecurity & The Hacker News
Investigative security press
Tier 2 · 5x
Dark Reading & CSO Online
CISO-targeted trade press
Tier 2 · 4x
Hacker News & r/cybersecurity
Practitioner communities
Tier 3 · 3x
G2 & Gartner Peer Insights
Verified buyer reviews
The Cybersecurity Playbook
What we publish, and why each one wins.
Pages that get cited by AI in cybersecurity are technical, framework-anchored, and brutally honest about tradeoffs.
Category disambiguation
One canonical page that stakes your CNAPP, XDR, or IGA claim with feature evidence. Stops LLMs misclassifying you.
/llm-info/ + Trust Center
Certifications, FedRAMP status, audit firms, and feature matrix in one machine-readable canonical page.
Framework-anchored content
NIST CSF, CIS Controls, ISO 27001, MITRE ATT&CK. LLMs cite framework-anchored content disproportionately.
Honest comparisons
Comparison pages that name where you are weaker. Counter-intuitive trust builder, only one that survives CISO scrutiny.
Tool consolidation playbooks
"Replace 3 tools with one" content. Matches the 2026 board mandate to compress the security stack.
Incident teardowns
Your own where appropriate, competitors' where defensible. The most-cited content type in cybersecurity AI search.
First 90 Days
From misclassified to correctly cited in one quarter.
Three phases. Engineering pairs on the technical pages. Category accuracy live in week 8.
01
Weeks 1 to 4
Audit & stake claim
Pull AI category accuracy across 4 LLMs. Stake the category claim with engineering.
AVS baseline
Category audit
Eng pairing
Alerts on
02
Weeks 5 to 8
Ship the citation core
/llm-info/ live. Comparison and framework cluster ships. Category claim takes hold.
/llm-info/ page
3 comparisons
2 framework pages
1 teardown
03
Weeks 9 to 12
Amplify the citation stack
Placement on the domains cybersecurity LLMs actually sample from.
Dark Reading
The Hacker News
r/cybersecurity
Analyst briefing
Proof in technical, skeptical buyer environments
Gumlet
20% of direct inbound revenue, attributed to LLMs via Mixpanel.
Technical buyers. CTO-led evaluation. Conversational AI research. Same buyer pattern as cybersecurity: deep technical scrutiny, long evaluation, AI-summarized vendor comparison. The playbook transfers.
Read the full Gumlet case →20%
Revenue attributed to LLMs
14.2%
AI visitor conversion rate
9
ChatGPT #1 placements
87%
AI citation accuracy
Free Category Citation Audit
Find out what AI says about your category today.
We run the same prompts your CISO buyers run, across 4 LLMs. You get a flagged report of every category misclassification, missing FedRAMP claim, false vulnerability mention, and feature attributed to a competitor. 48-hour turnaround.
Get My Category Citation Audit
Sample Cybersecurity Audit
6 Issues
Category named correctly (CNAPP)
1 / 4
FedRAMP status stated accurately
2 / 4
Company description accurate
4 / 4
Runtime protection feature recognized
0 / 4
Phantom vulnerability mentions
2 instances
Feature attributed to competitor
4 instances
Honest Answers
Three questions every cybersecurity CMO asks first.
Your buyer is paid to be skeptical. Pressure-test us on these.
Our buyers don't use ChatGPT.
80% of tech-sector buyers use LLMs alongside or instead of search (Spotlight Analyst Relations, 2026). CISOs use them specifically to summarize 30-page vendor PDFs. Your content is feeding that summary, whether you optimize for it or not.
Our content is too technical for an agency.
That is why we work cybersecurity specifically. We pair with your engineers and product marketers. Generalist agencies write generic content. We write what CISOs read on Hacker News.
We have a small marketing team.
We do not replace your team. We add a layer your team cannot do alone, AI citation engineering and analyst-tier placement, on top of your existing GTM motion.
How is cybersecurity SEO different from generic B2B SaaS SEO?
CISOs are the most skeptical buyer in B2B. Every page has to read as technical documentation, not marketing brochure. We optimize for both Google rank and AI citation accuracy on category claims, framework alignment, and feature evidence, with engineering pairing on the technical pages.
Can you fix AI misclassifying our category (CNAPP, XDR, IGA)?
Yes. Category misclassification is the most common issue we see. We stake the category claim through a canonical /llm-info/ page, framework-anchored content, and analyst-tier third-party citations. LLMs sample these as authoritative source-of-truth. Misclassification accuracy improvements typically show in 6 to 10 weeks.
We compete with CrowdStrike, Wiz, Palo Alto. Can we actually rank?
Not on category head terms. Yes on stack-specific, framework-specific, and use-case-specific long-tail queries. And yes on AI shortlist inclusion for constraint-loaded prompts (ARR band, stack, headcount, compliance posture). That is where mid-market cybersecurity wins.
Do you handle Gartner MQ and Forrester Wave citation strategy?
Yes. Analyst report citations carry the highest weight in cybersecurity AI search. We help structure content that analyst firms pick up, prep briefing materials, and seed third-party validation that improves analyst visibility. We do not replace your AR firm, we amplify it.
How fast do results show?
AI citation accuracy and category-claim improvements show in 6 to 10 weeks once /llm-info/ and framework pages ship. Google ranking improvements for stack and use-case modifier queries follow in 3 to 6 months. Hallucination and phantom-vulnerability alerts work from week 2.
What about FedRAMP, SOC 2 Type II, ISO 27001 content?
Compliance certifications carry the single highest trust signal in cybersecurity LLM citations. We build structured data plus narrative content for FedRAMP authorization, SOC 2 Type II, ISO 27001:2022, and StateRAMP where applicable. This goes well beyond the marketing copy most vendors publish.
Do you work with cloud security, identity, SIEM specifically?
Yes. Cloud security (CNAPP, CSPM, CWPP, CIEM), identity (IAM, PAM, IGA), SIEM and XDR, vulnerability management, GRC, and attack surface management. Different sub-categories have different LLM citation patterns and we adjust the playbook per sub-category.
What kinds of cybersecurity SaaS do you work with?
Endpoint security, cloud security, SIEM and SOAR, identity (IAM, PAM, IGA), DLP, threat intelligence, vulnerability management, GRC, MDR, and attack surface management. Mid-market cybersecurity SaaS between $5M and $50M ARR.
See What AI Is Saying
Find out how AI classifies your cybersecurity SaaS today.
Free 30-min teardown. Your category accuracy across 4 LLMs, your top 5 CISO prompt clusters, and the gap vs the incumbents you compete with.