Executive Summary

A leading AI-powered cybersecurity management platform strengthened its presence across AI-driven buyer research environments and converted that visibility into measurable conversion growth.

As security buyers increasingly began evaluation inside generative engines, the brand needed to ensure it entered the consideration set early and that discovery translated into pipeline-driving actions.

Through structured SEO + Generative Engine Optimization (GEO), the brand improved visibility across high-intent research queries and aligned that discovery with conversion pathways.

Performance Snapshot

These improvements increased conversion volume and strengthened the brand’s inbound acquisition performance.

About the Brand

The client is a B2B cybersecurity SaaS platform specializing in AI-powered API security testing and vulnerability detection. Its primary buyers include security leaders, DevSecOps teams, and engineering organizations conducting in-depth vendor research before engagement.

Operating in a highly technical and competitive category, the brand depends on early-stage discovery to enter evaluation conversations and generate pipeline.

Company Profile

Industry: AI Security Management, B2B SaaS, Cybersecurity & Compliance

Founded: 2018

Headquarters: San Francisco, CA

Employees: ~50

Total Funding Raised: $11M+ by Institutional Investors

Annual Revenue: $5.4M+ (as of 2024), up from $3.4M in 2023 (59% YoY growth)

Platform Reach: Trusted by 5,000+ organizations worldwide, including 75% of the Fortune 100

Notable Enterprise Clients: Nike, Tesla, PayPal, FedEx, Johnson & Johnson, Home Depot, Bank of America, Coca-Cola, Cigna, McKesson

Product Scope: 1,200+ pre-built security playbooks covering OWASP API Top 10, business logic flaws, and access control vulnerabilities

Community: Client provides education to 100,000+ learners globally on Cybersecurity

The Challenge

Three structural challenges limited conversion growth:

Limited presence during early AI-driven research

Security buyers increasingly begin evaluation by asking AI platforms technical and vendor-comparison questions. The brand was not consistently surfaced during these early research moments, limiting its entry into the consideration set.

Content not structured for generative extraction

Existing content provided value but lacked structured schema, question formatting, and semantic clarity required for AI engines to extract and cite effectively.

Discovery-to-conversion disconnect

While traffic existed, research-phase visibility was not consistently translating into demo requests, signups, and other key conversion events.

Without stronger generative visibility and tighter alignment between research queries and conversion pages, the brand was leaving pipeline opportunities untapped.

The Strategy

To increase conversion-driving key events, Passionfruit implemented a structured SEO + GEO program focused on improving visibility during high-intent buyer research moments and guiding discovery toward conversion pathways.

1. Conversion-Intent Content Optimization

High-intent research queries were mapped directly to solution and conversion-driving pages. Execution included:

• Restructuring priority pages with intent-aligned headers and semantic clarity

• Implementing FAQ and structured schema to improve generative extraction

• Optimizing content to answer technical buyer questions clearly and authoritatively

• Embedding clear conversion pathways post-value delivery

This increased the likelihood that research-phase discovery led directly into the brand’s funnel.

2. Keyword Footprint Expansion Across Buyer Research Queries

Using performance tracking data, the brand’s keyword presence was expanded across high-value cybersecurity topics. Execution included:

• Strengthening coverage of evaluation-stage and comparison queries

• Improving ranking positions for high-intent security research terms

• Monitoring keyword expansion and performance movement

This resulted in ranked keywords increasing from 6,526 to 8,970, a 37% expansion in discovery footprint.

3. Authority & Entity Reinforcement

To increase recommendation eligibility within generative environments:

• Entity clarity around core cyber security concepts was reinforced

• Trust signals were strengthened across priority content pages

• Content structure was optimized to improve citation likelihood

These improvements increased the brand’s probability of appearing in AI-generated answers and vendor recommendation scenarios.

4. Conversion Attribution Monitoring & Optimization

Discovery improvements were continuously measured against key event growth. Execution included:

• Monitoring AI-driven sessions relative to conversion events

• Prioritizing optimization of pages contributing directly to key event growth

• Iteratively refining content and structure based on measurable impact

This ensured visibility improvements translated into conversion growth rather than vanity metrics.

The Results

The structured optimization program delivered measurable conversion and discovery improvements:

• Non-branded key events increased by 126% with an overall increase of +13%

• AI sessions increased 35%

• Organic clicks increased 31%

• Keyword rankings expanded 37%

These gains demonstrate improved capture of high-intent research demand and stronger alignment between discovery and conversion pathways.

Why It Worked

The program focused not just on visibility, but on visibility that converts.

Business Impact

The brand strengthened its ability to capture and convert early-stage buyer research demand.

As generative engines increasingly influence vendor evaluation, the brand now enters consideration conversations earlier and converts more research-driven visitors into measurable key events.

Generative discovery is no longer a passive channel. It is now an active contributor to pipeline growth.