Buying committees of eight to twelve. CISOs who ignore vendor emails. Compliance-first messaging fighting against product-led-growth motion. We run SEO, ABM, demand gen, and AI-citation programs specifically tuned for how security software actually gets bought.
A cybersecurity marketing agency runs SEO, demand generation, ABM, and content programs specifically built for how security software gets bought: long sales cycles, buying committees, technical evaluators, and CISO gatekeepers. MV3 combines category SEO, AI-citation optimization, technical content authored by cleared engineers, and account-based sequences engineered for SOC, DevSecOps, GRC, MSSP, and identity vendors.
These are the problems security-vendor marketing leaders bring to the first call. They are the reason the standard B2B SaaS playbook stops working the moment your product touches a SOC or a compliance framework.
A security purchase touches eight to twelve people: CISO, security engineer, DevOps lead, compliance officer, procurement, legal, finance, and IT operations. Single-persona content converts nobody. You need targeted assets for each stakeholder plus orchestration to move the committee together.
Threat actors impersonate vendors weekly. CISOs mark unfamiliar senders as phishing on reflex. Standard cold-outbound response rates crater below 1%. You need warm-signal ABM (intent data, mutual peer references, event triggers), not spray-and-pray sequences.
Marketing wants product-led-growth loops. Security says free trial equals data exposure risk. Content team wants SEO velocity. Legal review adds two weeks per asset. The result is a stalled content engine and a signup funnel that converts nothing meaningful.
Ask ChatGPT “best EDR” and it names CrowdStrike, SentinelOne, and Palo Alto. Challengers are invisible in the AI answer layer, where 40 to 60% of category discovery now happens. Without a GEO program, LLMs recommend your competition on every buying prompt.
Technical buyers demand engineer-authored content. Your engineers are shipping product, not writing blog posts. Generic AI content gets flagged as low-signal on day one. You need a content operation with cleared writers, engineer review loops, and technical depth, at velocity.
A CISO reads a whitepaper in March, watches a webinar in May, requests a demo in August, closes in December. Last-click GA4 attribution shows “direct.” Your CMO can’t defend budget without multi-touch attribution wired to closed-won revenue.
Same six-family MV3 catalog. Wired specifically for how EDR, SIEM, ZTNA, CASB, GRC, DevSecOps, and MSSP vendors actually acquire enterprise accounts.
We rank you for the buying prompts your CISO customers search plus the AI-model equivalents. Category SEO wired to zero-click SERPs and AI Overviews on prompts like “best XDR for mid-market” and “SOC 2 continuous monitoring vendors.”
Get cited by ChatGPT, Perplexity, Gemini, Claude, and Google AIO when buyers ask category-defining security questions. We instrument llms.txt, structured data, and citation-earning content specifically for the security research corpus AI models pull from.
500 named security accounts sequenced monthly, enriched with tech stack (which EDR, which SIEM, which IdP), funding signals, breach event triggers, and role-mapped to the eight-to-twelve buying committee. Multi-channel: email, LinkedIn, phone, retargeting.
Guaranteed monthly sales-accepted opportunities from the security ICP. Base + per-SAO pricing so we win when you win. Pipeline reporting weekly. Not opens or clicks.
Engineer-authored technical content at velocity. Our writers hold or have held cleared roles at SOCs, security vendors, and MSSPs. Every asset carries the E-E-A-T signals Google and LLMs require for security YMYL topics.
Matched-audience LinkedIn campaigns run against your named-account list. Security buyers live on LinkedIn, not Meta. Ad rotation by pipeline stage: awareness, consideration, reactivation.
Custom-built AI CRM enrichment, dashboards, and workflow automation wired to your HubSpot / Salesforce. Auto-scores every new lead against your security ICP, triggers SDR workflows on intent signals.
Placements in Dark Reading, SecurityWeek, The Record, CSO Online, and BleepingComputer. Not press-release spray. Real editorial with engineer-authored angles that earn dofollow authority links.
Consulting shops hand you a 60-page report and leave. Agencies execute without strategic clarity. MV3 does both, weekly, under one contract.
Every deliverable starts with the CISO’s job-to-be-done: reduce risk, defend budget, satisfy the auditor, avoid the next breach headline. We build category positioning, competitive framing, and buyer-committee messaging around that job, not around product features.
Strategy without execution is a PowerPoint. Our security-cleared content team ships engineer-review-approved assets weekly. Our ABM ops team runs the 12-touch sequence against your named accounts. Our tech-SEO team fixes schema, llms.txt, and citation coverage every sprint.
Aggregated across cybersecurity SaaS engagements Trailing 12 months. Individual results vary by category maturity and current authority baseline.
Median lift in AI-model citations across ChatGPT, Perplexity, and Gemini by month 9
Increase in category-keyword organic sessions from the security ICP over 12 months
Average shortening of enterprise sales cycle when full ABM + content stack runs together
Average pipeline dollar generated per marketing dollar deployed inside the Growth AI tier
Aggregate stats. Individual client names withheld under NDA per MV3 confidentiality policy.
Client arrived with strong product-market fit but zero citation share across the AI answer layer. Category prompts routed prospects to CrowdStrike, SentinelOne, and Palo Alto every time. Organic pipeline was flat. Their SDR team was cold-emailing CISOs with a 0.6% reply rate.
Full-stack engagement: GEO audit, llms.txt + schema deployment, engineer-authored content operation (12 pieces per month), 500-account ABM program with intent triggers, LinkedIn matched-audience ads. By month nine they were the primary citation on 27 category prompts across four AI models. Sales-accepted opportunity volume tripled. Sales cycle compressed from an average of 11 months to 6.5 months.
Ryan runs MV3’s cybersecurity vertical. His background spans schema architecture, llms.txt implementation, and AI-model citation research for security vendors ranging from Series A EDR startups to public-company MSSPs. Every engagement ships under our team review.
Book a 30-minute strategy call with our security-vertical lead. We will diagnose your GTM live, show you the citation gap on your top ten buying prompts, and map the 12-month plan to close it.
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AI Content & SEO Infrastructure for B2B companies that want to own their growth channel , not rent it.
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