What results can AEO content deliver for cybersecurity AI search visibility?
AEO content improves AI search visibility by increasing how often a brand appears in AI-generated answers and how frequently it is cited as a source. This case study shows how Synack achieved measurable gains.
Emily Matthews is a technology product marketing and AEO/SEO content strategist with 20+ years of experience in cybersecurity and B2B technology.
Table of Contents
Key questions answered in this case study
This case study shows how answer engine optimization (AEO) improves visibility and citations in AI search by enabling structured, extractable content to be reused across AI-generated answers. It outlines the strategy, performance outcomes, and how structured content enables consistent inclusion in AI-generated answers across platforms, such as ChatGPT and Google AI Overviews. These outcomes were delivered through NOLA's AI search optimization services.
Key findings from this AEO case study
- Synack reached #2 in AI search visibility for “agentic AI cybersecurity”
- AEO content increased inclusion across multiple related queries
- Citation frequency improved as structured content aligned with answer engine extraction patterns
- Plan to scale AEO will increase coverage across 50+ articles and 11 hub pages
What was the objective of the AEO content strategy?
Synack introduced an agentic AI penetration-as-a-service solution in Q4 2025 and needed to establish authority in AI-driven cybersecurity search. The goal was to increase visibility and citations in AI-generated answers for queries related to agentic AI and penetration testing.
NOLA Marketing developed a series of answer engine–optimized articles focused on agentic AI and penetration testing. The objective was to improve visibility and citation frequency across relevant AI search queries.
How did AEO content impact AI search visibility and citations?
Synack improved AI search visibility by publishing answer engine-optimized content focused on agentic AI and penetration testing. By structuring content for extractability and aligning topics to user queries, Synack increased both mentions and citations in AI- enerated responses. This alignment ensured content could be directly extracted and reused by answer engines across multiple related queries.
As a result of publishing AEO content specific to agentic AI for pentesting, along with adjustments to the product pages, Synack reached #2 in AI search visibility for “agentic AI cybersecurity” queries and increased citation frequency across multiple AEO-optimized pages. Synack uses Profound to track and measure AEO performance. The following dashboards are from their Profound account.
Visibility
Visibility reflects how often a brand appears in AI-generated answers across relevant queries. It measures inclusion and frequency, indicating how consistently content is selected and reused by answer engines. Higher visibility indicates stronger inclusion across queries, not just isolated appearances in individual answers.
The dashboard below shows Synack’s ranking in queries for “Agentic AI Cybersecurity.” Note that Synack ranks well above larger players, including Exabeam, IBM, and CrowdStrike.
Citations
Citations indicate when AI systems reference specific content as a source in generated responses. They reflect credibility, extractability, and alignment with how answer engines validate and attribute information.
This dashboard shows the citations related to the ranking. It shows the specific AEO content that was cited.
What is the difference between visibility and citations in AI search?
Visibility
What it measures
Frequency of inclusion in AI answers
AEO impact
Expands presence across queries
Citations
What it measures
Source attribution in answers
AEO impact
Builds authority and trust
This comparison clarifies how AEO performance reflects inclusion, attribution, and breadth of coverage across AI-generated answers.
“The pilot validated that AEO directly improves how content is surfaced and cited in AI-generated answers. Once we saw the impact on visibility and citations, scaling the program became a clear next step.”
How was AEO content scaled?
Based on the success of the AEO pilot, Synack engaged NOLA Marketing to develop a Penetration Testing as a Service FAQ hub and to optimize high-performing existing blog articles for AI search.
NOLA Marketing created content for 11 hub pages to populate the Penetration Testing as a Service FAQ hub, along with more than 50 articles (spokes). Additionally, more than 30 existing blog posts were reworked to align with AEO best practices. This content has been delivered and is in the queue for publication.
This approach increases topical coverage and consistency, enabling answer engines to reuse content across more queries and improving overall visibility and citation frequency for topics most relevant to Synack.
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Frequently asked questions
What is visibility in the context of AEO?
Visibility in AEO refers to how often a brand or domain appears in AI-generated answers across relevant queries. It measures inclusion and frequency, indicating how consistently content is selected and surfaced by answer engines.
What are citations in the context of AEO?
Citations in AEO refer to instances in which AI systems cite specific content as a source in generated answers. They indicate credibility, extractability, and alignment with how answer engines validate and attribute information.
What factors increase visibility in AI-generated answers?
Visibility increases when content provides direct answers, aligns with common user queries, and is structured for extraction. Strong topical coverage, consistent terminology, and clear authorship signals increase the likelihood that answer engines select and reuse content.
How do answer engines select content for AI-generated answers?
Answer engines select content based on clarity, structure, and credibility signals. Content that provides direct answers, aligns with common queries, and includes strong authorship and topical coverage is more likely to be extracted, reused, and cited in AI-generated responses.
What types of content perform best for AEO?
Content that is structured around direct questions, provides concise answers, and covers related subtopics performs best for AEO. FAQ hubs, comparison content, and clearly defined sections improve extractability and increase reuse across multiple AI-generated answers.
Why are author bios important for AEO performance?
Author bios improve AEO performance by providing credibility and expertise signals that answer engines use to evaluate trustworthiness. In cybersecurity, clear author credentials increase the likelihood that content is selected and cited in AI-generated answers.
About the author
Emily Matthews is a technology product marketing and content strategist with 20+ years of experience driving growth for organizations ranging from Fortune 500 giants to agile startups. Known for her quality-at-speed approach, she specializes in crafting high-impact sales enablement materials and web content. By blending technology expertise with a lean, cost-effective production style, Emily helps brands dominate the answer-engine era while consistently delivering high-impact results on the tightest deadlines.