11 Generative Engine Optimization Agencies Helping Cybersecurity Companies Win AI Search Visibility

We have seen one pattern consistently when cybersecurity companies reach out to us. They have content. In many cases, substantial content. They publish technical blogs on the latest vulnerabilities, cybersecurity landscape articles that practitioners actually read, and detailed product pages. Some of these even rank on Google and bring traffic every month.

But when a CISO asks Perplexity, “What are the best SIEM tools for a mid-market company moving to Azure with SOC 2 requirements?”, their SIEM tool does not get recommended.

Or when a security architect asks ChatGPT for “endpoint protection platforms that work for remote-first teams without on-premise infrastructure,” their endpoint protection software does not show up either, even if it has capabilities that fit that exact use case.

That is the real gap. The company may have strong content, but AI tools are not connecting it with the buying situations where it should be recommended.

A good GEO agency helps close that gap by building the content, positioning, and trust signals AI tools need to place your cybersecurity product in the right shortlist.

In this article, we cover 11 GEO agencies helping cybersecurity companies improve AI visibility, along with the factors to consider before choosing one.

But before that, let’s understand why cybersecurity companies miss out on AI recommendations in the first place.

3 Reasons Cybersecurity Companies Miss Out on AI Visibility

Cybersecurity companies can publish a lot of content and still fail to appear when buyers ask AI platforms for vendor recommendations. Instead, the same names often show up repeatedly: CrowdStrike, Palo Alto Networks, and sometimes Darktrace.

The issue is not always content volume. It is whether the company has built the right signals around technical credibility, compliance fit, buyer intent, and third-party trust.

If those signals are weak, AI platforms have fewer reasons to recommend the company, even if it ranks for relevant searches.

Here are three common gaps to watch for that most cybersecurity companies make:

1. They Produce Technically Shallow Content that Damages Credibility

Cybersecurity is one of the few B2B categories where shallow content actively backfires. A security architect can tell within two paragraphs whether the writer understands the domain. 

The content may use cybersecurity terminology loosely or explain concepts that practitioners already know. Instead of building trust, it signals that the vendor does not belong in the conversation. 

AI platforms pick up on this, too. They tend to favour content with genuine technical depth over content that pattern-matches cybersecurity vocabulary without showcasing real understanding.

2. They Ignore the Contexts That Actually Drives Purchase

Cybersecurity purchases happen in specific compliance contexts. A healthcare company needs HIPAA-compliant tools. A payment processor needs PCI-DSS alignment. Whereas a government contractor needs FedRAMP.

A cybersecurity company that writes generic content without addressing these frameworks is unlikely to appear for the queries where buying decisions actually happen. This is because buyers often describe their compliance requirements when asking AI platforms for recommendations.

3. They Focus Only on Their Website While Ignoring the Sources Buyers Trust

Cybersecurity buyers are among the most skeptical B2B buyers in any category. Before making a decision, they look beyond the vendor’s website.

They read reviews on peer-review platforms, follow industry publications, and pay attention to conversations within the security community. That includes sources like G2, Gartner Peer Insights, Dark Reading, SecurityWeek, Reddit, LinkedIn, and more. A cybersecurity company that focuses only on its website is optimizing the signal its buyers trust least.

Understanding these gaps makes it easier to come up with a stronger strategy. This is where the right GEO agency can help.

But not every GEO agency will be the right fit for a cybersecurity company. So before you choose one, here are the key factors to evaluate.

4 Factors to Look for When Evaluating a GEO Agency for Your Cybersecurity Company

Choosing a GEO agency for a cybersecurity company involves more than comparing content plans or publishing output. The agencies that improve AI visibility understand how cybersecurity buyers research solutions, evaluate vendors, and build shortlists.

They also know where your company can realistically stand out instead of competing head-on with every established vendor in the market. Here are four factors you should focus on before choosing a GEO agency for your cybersecurity company.

1. Can They Produce Content That Is Technically Credible For Security Professionals?

One of the first things to evaluate is who will actually create the content. In cybersecurity, subject-matter expertise is crucial. If agency writers get technical details wrong, use terms loosely, or explain concepts that practitioners already understand, it signals that the vendor cannot be trusted. 

For example, a buyer comparing XDR vendors is not looking for another article explaining what XDR is. They want to understand deployment challenges, integration considerations, detection capabilities, and the trade-offs between different approaches. If the content stays at a surface level, it does little to build confidence.

This is important from an AI visibility standpoint, too. AI platforms are more likely to reference content that demonstrates genuine technical expertise than content that simply uses cybersecurity terminology without offering meaningful insight. The strongest agencies have a clear process for turning technical expertise into content. 

2. Do They Understand That Different Stakeholders Need Different Information?

When a company evaluates a cybersecurity product, several people are usually involved in the decision.

A CISO and a security architect may look at the same product very differently. One may care about risk reduction, while the other may care about deployment complexity.

That means the content cannot speak to only one person. It needs to answer the different doubts that come up during evaluation, from whether the product solves the security problem to whether it can be implemented smoothly.

A good GEO agency understands who influences the purchase, what questions each stakeholder asks, and how to build visibility across those different conversations.

3. Do They Have A Strategy For Third-Party Trust Signals?

Cybersecurity buyers are among the most skeptical B2B buyers in any category. They do not make purchasing decisions based on vendor content alone. They check G2, Gartner Peer Insights, Dark Reading, Security Week, and peer communities on Reddit and LinkedIn. AI platforms know this and weigh these sources heavily when generating cybersecurity recommendations.

An agency focused entirely on your website is optimizing the signal cybersecurity buyers trust least. The stronger agencies understand that visibility is shaped not just by what your company publishes, but by where else it is mentioned, reviewed, compared, and trusted.

4. Can They Identify The Subcategory Queries Where Challengers Can Actually Win?

Not every cybersecurity company can compete head-to-head with CrowdStrike, Palo Alto Networks, or Checkpoint on broad searches. If someone asks an AI platform for the “best endpoint security software,” the same established vendors are likely to appear again and again. 

The opportunity is usually somewhere more specific. You can bridge this gap by creating content for queries that have far less competition and far more buying intent.

For example, a buyer may be looking for “SIEM tools for mid-market companies moving to Azure with SOC 2 requirements,” “MDR providers for small security teams without a 24/7 SOC,” or “cloud security posture management tools for AWS-heavy SaaS companies.” These searches describe specific situations, which often gives smaller or more specialized vendors a better chance of being recommended.

The right agency identifies these gaps through prompt testing across AI platforms and customer research, then builds content around them before larger competitors notice the opportunity.

PS: If you need a quick guide to get recommended by AI tools, I have also made a video about it.

Now that we have covered how to evaluate the right GEO agency, let’s look at the companies specializing in this space.

Top 11 Generative Engine Optimization Agencies for Cybersecurity Companies

By this point, one thing should be clear: cybersecurity buyers do not rely on a single source when evaluating vendors. They move between AI platforms, review sites, and industry publications before making a decision.

That is why we put together this list of agencies that understand how cybersecurity buyers research, compare, and shortlist vendors. They have a clear GEO approach, experience in cybersecurity, and proof of results through client work, case studies, or industry recognition.

Based on that, here are 11 agencies worth considering.

• Concurate 
• Maximus Labs
• Content Visit
• Victorious
• Blend
• Yes&
• LenGreo
• Sure Oak
• Obility
• Amplifyed
• Directive Consulting

Let’s look at them, starting with Concurate. 

1. Concurate – Best Generative and Answer Engine Optimization Agency for Cybersecurity Companies

At Concurate, we are a boutique content marketing and generative engine optimization agency that helps B2B SaaS and cybersecurity companies show up where buyers are actually making decisions.

We understand that visibility today is no longer just about Google rankings alone. Buyers are asking AI platforms like ChatGPT, Perplexity, Grok, and more about the tools they need, with very specific questions and use cases. They’re not browsing anymore, they’re shortlisting.

So if your product has the capability but is still not showing up, there is a gap. At Concurate, we work on closing that gap.

Source – Concurate

We do this through our proprietary Perfect Match Framework. We start by understanding your ideal customer and identifying the exact buying situations where your cybersecurity company should show up as a recommendation. We then build the content signals AI tools need to connect your product with those searches.

You can view the framework in detail in the deck below.

We do not treat GEO or AEO as separate services. For us, this is a natural evolution of how search works. We believe SEO is the foundation, and we build on top of it with buyer-intent content, strong internal linking, content depth, clear positioning, and third-party trust signals.

This is why a big part of our approach is creating decision and consideration-stage content. This includes list-based content like best tool lists, comparison pages against competitors, use-case-driven pages, and targeting multiple variations of the same core query based on audience, industry, and features.

How does that look like?

For instance, say a company sells endpoint protection software, we don’t create a single landing page and stop there. We break it down into multiple entry points across various content formats, with listicles, feature lists, and evaluation content such as: 

• Top endpoint protection software for enterprises
• Best endpoint security platform for remote teams
• Leading endpoint protection tool with AI capabilities
• Features to look for in endpoint protection tools for SMBs

Our goal is simple: show up across every variation of how a buyer searches for the same solution.

Another key part of how we work is decoding what already ranks and gets picked up across AI search.

We actively study which companies keep appearing for high-intent queries, what kind of content they have built, how those pages are structured, and why AI systems are choosing them. For example, in one of our recent analyses, we broke down how top cybersecurity vendors consistently appear across AI search and what strategies they follow.

Once we understand those patterns, we don’t copy them blindly. We apply those learnings in a way that fits the client’s actual product, positioning, and market.

This is also why we don’t just create content for the website and stop there. We think in terms of content ecosystems. That means supporting core content with distribution across platforms like LinkedIn and YouTube, building external mentions, and ensuring the brand shows up across multiple surfaces that AI systems rely on.

In fact, we’ve applied this approach across industries like enterprise IT, cybersecurity, training, and patent tech.

For one enterprise services and cybersecurity client, this translated into 100+ inbound leads within six months, driven entirely through content. We achieved this by focusing on the right type of content that appears when buyers are actually evaluating solutions. You can read about our approach here.

At the core of all our work is a simple belief: content should not just bring traffic. It should bring leads. And when your brand shows up at the moment of decision, leads follow naturally.

Pricing

Our monthly retainers typically range between $5,000 and $7,500, with one-time projects starting around $3,500.

Notable Clients: Datacipher, Triangle IP, Pinch Patent Drawings

Rating: 5/5

2. Maximus Labs

Maximus Labs positions itself as an AI search-first agency that helps B2B SaaS and AI companies improve their visibility across AI platforms like ChatGPT, Perplexity, and Google AI Overviews.

Source – Maximus Labs

They emphasize a full-stack AI visibility approach that goes beyond content. This includes structuring their content for AI extraction, implementing schema and EEAT signals, and building presence across third-party platforms like G2, Reddit, and LinkedIn to improve citation likelihood.

Like any good GEO company, Maximus focuses heavily on bottom-of-funnel and high-intent queries, structuring its content such that it easily gets cited across AI platforms.

Pricing: They offer three plans, with pricing starting at around $1,299/month and going up to $3,499/month, depending on content volume, platform coverage, and reporting depth.

Notable Cybersecurity Clients: UnderDefense

Rating – Not available

3. Content Visit

Content Visit is a cybersecurity-focused content marketing agency that works with security vendors on go-to-market campaigns, demand generation, and organic growth. Unlike most agencies on this list, they are deeply verticalized in cybersecurity.

Source – Content Visit

Their approach is built around combining content strategy, SEO, and AI visibility into one system. The agency focuses on creating high-quality, technically accurate content from subject matter experts, and structuring it in a way that aligns with both search intent and how AI tools retrieve and cite information.

A key part of their model is around building authority outside the website. For every campaign, they support content with contextual backlinks, external mentions, and distribution across relevant channels, ensuring that their clients are visible not just on their own site, but across the broader ecosystem that AI models rely on.

They also work closely with product marketing teams, creating assets like whitepapers, landing pages, and sales enablement content that directly support pipeline and GTM efforts.

Pricing: Their pricing information is not publicly available.

Notable Cybersecurity Clients: IBM (Randori), Morphisec, Element Security, DeleteMe

Rating: Not available

4. Victorious

Victorious is a full-service SEO agency that has added dedicated Answer Engine Optimization services to its offerings to help brands stay visible as AI search changes how people discover companies.

Source – Victorious

Their approach to AEO is fairly structured. They start with an audit to see where content is losing visibility, then move into query research, content optimization, and technical work to make pages easier for AI systems to retrieve and cite. 

A big part of their model is making existing content more answer-ready by surfacing direct responses, adding Q&A sections, and improving semantic clarity.

Pricing: Not publicly available

Notable Clients: GE Digital, Parasoft

Rating: 4.8/5

5. Blend

Blend is a B2B-focused agency that has built a dedicated AEO offering around getting companies cited inside AI-generated answers. They clearly position this as a demand generation channel, not just an extension of SEO.

Source – Blend

Their approach is quite execution-heavy. They start with prompt mapping and persona research, then move into technical setup (schema, structure), followed by AI-focused content creation.

Blend also places a lot of emphasis on measurement. They use tools like Scrunch and HubSpot to track which prompts surface your brand, how often you get cited, and how that translates into traffic and pipeline. Alongside this, they continue refining content and expanding coverage based on what’s getting picked up.

Pricing: Their pricing starts at $7,500/month and goes up to $14,000+, depending on scope.

Notable Clients: Acre Security, Cybexer

Rating: Not available

6. Yes&

Yes& Agency is a full-service creative and digital agency that offers services across branding, content, media, communications, and digital. Answer Engine Optimization is also a part of its offerings, where they position AI as a scene partner in their overall marketing and creative process.

Source – Yes&Agency

Their approach to AEO is built around a structured creative loop. This includes stages like listening to data, exploring ideas using AI tools, validating concepts through predictive scoring, scaling content with automation, and then optimizing it for AI systems. 

As part of this loop, they focus on structuring copy, data, and metadata so AI agents can understand, retrieve, and cite their clients’ content.

They also layer this with internal tools like their VIBE Score for tracking brand visibility and engagement and monitoring trend systems to adapt content based on real-time signals.

Pricing: Not publicly available

Notable Cybersecurity Clients: CrowdStrike, Qualys, Rubrik

Rating: 4.8/5

7. LenGreo

LenGreo is a digital marketing agency that offers SEO and answer engine optimization services across multiple industries, including B2B, SaaS, healthcare, cybersecurity, fintech, and even niche verticals like gambling and Web3.

Source – LenGreo

Their approach is built around helping cybersecurity brands become more visible across AI-driven search environments, and not just Google search results. This includes starting with an AI visibility audit, building AI-tuned content strategies around real buyer questions, improving technical infrastructure with structured data and schema, and developing thought leadership assets that AI systems can pick up and cite.

They also place a strong emphasis on conversational content, AI-focused keyword and intent mapping, and trust-driven SEO. 

A big part of their positioning is around helping cybersecurity companies get discovered by multiple stakeholders, from engineers and risk teams to procurement buyers, across tools like ChatGPT, Gemini, and Perplexity.

Pricing: Not publicly available

Notable Cybersecurity Clients: They have catered to cybersecurity companies, however their mentions remain anonymous in their case studies. 

Rating: 5/5

8. Sure Oak

Sure Oak is a full-service SEO and digital marketing agency that works across industries like B2B services, SaaS, fintech, insurance, and eCommerce. Alongside traditional SEO and link building, they also offer AI search optimization services.

Source – Sure Oak

Their approach combines SEO with AI search readiness. They start with fixing the basics — content, technical SEO, and site structure — and then extend into making that content usable for AI systems. 

A huge part of their work is about building authority. They invest heavily in link building and external mentions, getting brands featured across sources that AI tools pull from. Alongside this, they track where AI traffic is coming from and optimize for it. 

Pricing: Not publicly available

Notable Clients: GuidePoint Security

Rating: 4.9/5

9. Obility

Obility is a B2B digital marketing agency focused on tech and SaaS companies, with services across SEO, paid media, revenue operations, and generative engine optimization.

Source – Obility

Their GEO approach is tightly connected to SEO rather than treated as a separate layer. They use SEO to build technical health, internal linking, and overall search visibility, and then extend that into GEO to improve how brands show up across AI search engines and AI overviews. On the GEO side, the focus is on bottom-of-funnel queries, structured content, and making pages easier for AI systems to pick up and surface.

They also put strong emphasis on measurement. Instead of just tracking rankings or traffic, they look at AI overview presence, user interactions, and how that ties back to pipeline and revenue. 

GEO for them is less about publishing new content and more about making existing visibility convert across both search and AI surfaces.

Pricing: Not publicly available

Notable Clients: Boomi, Snowflake, Juniper Networks, At-bay

Rating: 4.8/5

10. Amplifyed

Amplifyed is another cybersecurity-focused SEO agency that works with security companies to improve their visibility across search results and AI surfaces.

Source – Amplifyed

Their approach to AI search visibility is built on top of strong SEO fundamentals. They focus on creating structured, well-organized content that AI systems can easily parse, using clear hierarchies, Q&A formats, and semantic depth. Alongside this, they invest in building topical authority by covering adjacent concepts and creating interconnected content that reinforces expertise.

Their approach is pretty straightforward. They focus on making content easy for AI systems to pick up, i.e., clear structure, clean formatting, and depth across topics. 

They also place a lot of emphasis on authority signals. This includes backlinks from relevant sources and building depth across cybersecurity topics so AI systems see the brand as a reliable source.

Pricing: Not publicly available

Notable Cybersecurity Clients: Portnox, VMRay, Semperis, OffSec

Rating: Not available

11. Directive Consulting

Directive Consulting is a B2B marketing agency focused on tech and SaaS companies, with services across SEO, content, paid media, revenue operations, and generative and answer engine optimization.

Source – Directive

Their approach to AEO and GEO is built around the pipeline. Their focus is on structuring content so it can be extracted, summarized, and cited inside AI-generated answers, especially for high-intent queries that influence buying decisions.

They also combine this practice with technical SEO, schema, and content optimization to make pages answer-ready. Alongside this, they also work on conversion optimization and performance design, and support distribution through paid and programmatic campaigns to ensure that visibility actually translates into pipeline.

What sets Directive apart is how they tie everything back to revenue. Instead of tracking just rankings or traffic, they focus on visibility in AI answers, influence on buyer decisions, and contribution to the pipeline.

Notable Cybersecurity Clients: TokenEx, OneSpan

Pricing: Not publicly available

Rating: 4.8/5

That brings our list of generative engine optimization agencies for cybersecurity companies to a close.

As you compare your options, the most important thing is to choose an agency that understands how cybersecurity buyers actually make decisions. They do not rely on one source. They move between AI platforms, review sites, industry publications, peer communities, and vendor content before building a shortlist.

That is where specialized GEO agencies like Concurate can help.

We help cybersecurity companies identify the AI search moments they should appear in, understand why competitors are getting recommended instead, and build the content, positioning, and trust signals needed to earn visibility in those recommendations.

Need Help With AI Search Visibility?

Our GEO Services: If your cybersecurity company wants to increase its visibility across ChatGPT, Perplexity, Gemini, and other AI search experiences, learn more about our GEO services here.

Our Content Marketing Services: If you also need support with technical content, decision-stage content, thought leadership, or LinkedIn content, learn more about working with us here.

Frequently Answered Questions

1. How can cybersecurity companies improve their chances of getting cited in AI-generated answers?

Cybersecurity companies that consistently show up in AI answers are doing a few things consistently well. Here’s what they are doing and you can too:

1. They create content that matches how buyers search when they are evaluating tools. This includes “best tools” lists, 1:1 comparison pages, and use-case driven content. AI platforms rely heavily on these formats when generating answers
2. They cover multiple variations of the same query. For example, instead of just targeting the primary keyword like “endpoint security software,” they also create content around enterprise use cases, SMB use cases, AI-based solutions, and more. This increases the chances of being picked across queries.
3. They structure content clearly. Well-defined sections, comparison tables, bullet points, and direct answers make it easier for AI systems to extract and cite information.

Finally, they build authority beyond their own site. Mentions across third-party blogs, reviews, and communities reinforce credibility, which AI systems factor in when deciding what to include.

2. Can smaller cybersecurity companies compete with large vendors in generative engine optimization?

Yes, they can. AI search is not only about brand size. It’s about how well your content matches the query. Smaller companies can compete by focusing on specific use cases, long-tail queries, and clear positioning. Instead of broad keywords, targeting niche, high-intent searches gives them a better chance to appear alongside larger vendors.

3. Should cybersecurity brands create separate content for different use cases to improve AI visibility?

Yes. Cybersecurity brands should not rely on a single page. Instead, they should create content across formats like blogs, comparison pages, use-case driven pages, and feature-specific content. AI systems pick from multiple sources, so covering different angles helps improve visibility across queries without limiting yourself to just landing pages.

4. Does updating old cybersecurity content improve visibility across AI search platforms?

Yes, it does. AI platforms tend to favor content that is current and relevant. Updating existing pages with new data, improved structure, and clearer answers can increase the chances of being picked. Even older pages can resurface in AI results if they are refreshed regularly and aligned with what users are currently searching for.

5. What role does topical authority play in generative engine optimization for cybersecurity companies?

Topical authority is critical. AI systems prefer sources that consistently cover a subject in depth. If your content spans multiple related queries within cybersecurity, it signals expertise. This increases your chances of being cited.