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Cybersecurity

Your category isn’t your competition. The buyer’s requirement is.

See which vendors AI names as security buyers get specific.

An illustration of how the vendors named in AI answers change between a broad category question and one specific technical requirement inside the same cloud security category. For the category question, “Best cloud security platforms”, the answers named Your Company, Competitor One, Competitor Two. For the requirement, “Which tools give runtime protection for containers on EKS?”, they named Competitor One, Competitor Three, Competitor Five. Competitor Three is not in the project’s tracked competitor set. Your Company was not named. The companies and environment shown are representative, not customer data.

One buyer question

A competitor you aren’t tracking keeps showing up. Here’s what we found when we opened one question.

An illustration of a cloud security product marketing team following one finding through Sourcepath. Across 31 classified answers, AI describes Your Company as cloud security posture, multi-cloud visibility, agentless scanning. Sourcepath surfaces Competitor Three, which is not in your tracked set, named in answers to 3 of the team's 5 tracked cloud security requirements. The team opens one of them, "Which tools give runtime protection for containers on EKS?". ChatGPT named Competitor One and Competitor Three; Claude named Competitor Three and Competitor Five; Gemini named Competitor One and Competitor Five; Perplexity named Competitor Five and Competitor Three. Your Company was not named by any of the four. 6 pages were cited across those answers: 5 of the 6 mention runtime, 5 of the 6 mention EKS, 4 of the 6 mention eBPF. Your Company's own container security page contains none of those terms; it says workload protection and container security. Sourcepath attaches four recommendations to specific places in that existing page — expand intro, add section, expand section, add faq — each of which can be drafted in Sourcepath. At page level, three opportunities are already addressed (definition and category context, supporting internal links, structured answer blocks) and four remain open: add schema: faq structured data; add comparison table: agentless scanning vs runtime protection; content depth: 912 words on your page; add supporting detail: deployment architecture and eks support. Separately, an industry buying guide recurring around this question names Competitor One and Competitor Three and does not name Your Company, routing that work to Lists & Comparisons. Six scans later, Your Company appeared in 13 of 25 tracked questions where it had appeared in 5 of the same 25. Between the two readings the team recorded 10 recommendations completed, 4 owned pages revamped, 1 external opportunity addressed. The companies and environment shown are representative, not customer data.

What AI currently knows you for — and who else keeps showing up

“We don’t compete with them. Why do they keep showing up?”

Product marketing

Here’s one of the questions where it happens

“Wait. We do that — we just don’t call it that.”

Product marketing

Here’s the page — and where the work goes

But your website wasn’t the only gap

One buyer question.Three things marketing could act on.

  • A competitor you weren’t tracking
  • A page you can improve
  • An external gap you can address

The questions didn’t change. Your visibility did.

of your 25 tracked questions now name Your Company.

Your Company appeared in 5 of 25 tracked questions in the earlier reading. Six scans later, it appeared in 13 of the same 25.

You’re showing up in more of the technical evaluations that decide the shortlist.

The work between those readings

  • 10recommendations completed
  • 4owned pages revamped
  • 1external opportunity addressed

Explore Sourcepath

One evidence system. Four ways to put it to work. Explore each Sourcepath intelligence layer.

Four Sourcepath capabilities as they apply to a cybersecurity vendor. Competitive Intelligence: how the set of vendors named changes from one technical requirement to the next — Multi-cloud posture: Competitor One, Competitor Four, Your Company named; Agentless scanning: Competitor Two, Competitor Four, Your Company named; Runtime on EKS: Competitor One, Competitor Three, Competitor Five, Your Company not named; Terraform pre-deploy: Competitor Four, Competitor Three, Your Company not named. AI Search Intelligence: how four monitored engines answer one security question, "Which tools give runtime protection for containers on EKS?", with the point in each answer where a vendor was named; Your Company wasn’t named in any of the four. Content Studio: the changes attached to one owned page, /cloud-security/container-security — Add section, Runtime protection on EKS; Expand intro, runtime · EKS · running containers; Add FAQ, Does it protect running containers on EKS?. Brand & Influence: what AI currently describes the organization as, and the outside sources it was reading — Cloud security posture, Multi-cloud visibility, Agentless scanning, An industry buying guide, A practitioner community thread. The companies and environment shown are representative, not customer data.

See which vendors enter the conversation as security buyers get more specific.

Competitive Intelligence

Explore Competitive Intelligence

Read the answers security buyers are getting — provider by provider, source by source.

AI Search Intelligence

Explore AI Search Intelligence

Turn requirement-level content gaps into specific page changes, then draft the work.

Content Studio

Explore Content Studio

How AI characterizes your security brand, and where outside sources shape the picture.

Brand & Influence

Explore Brand & Influence

The evidence

Every finding comes with the evidence behind it.

How Sourcepath handles evidence. Four things are kept and stay connected on every finding. The answer: in the engine’s own words; The source it cited: the page, not just the site; The vendors in it: including ones you weren’t tracking; The finding: drawn from the three on its left. The answer shown came from ChatGPT; the source it cited is a specific page on Cluster Security Weekly; the vendors named in it are Competitor One and Competitor Three, one of which was not on the tracked list; and the finding drawn from them is: This page recurs across three tracked requirements. Your Company isn’t named on it. Three further proofs: Evidence stays attached — open any finding and see what supports it; Evidence strength stays visible — thin evidence stays thin; Findings change with the evidence — when the evidence moves, the finding moves. The environment shown is representative, not customer data.

Questions

What cybersecurity teams want to know. Clear answers, grounded in the evidence.

What is AI Search Intelligence for a cybersecurity company?

Security buyers increasingly evaluate vendors inside AI assistants before they ever reach a website — and they ask in requirement language, not category language. AI Search Intelligence is the practice of observing what those assistants actually answer for the questions your buyers ask, which vendors those answers name, and which sources they cite, so product marketing can work from evidence instead of assumption.

Which AI platforms does Sourcepath monitor?

ChatGPT, Claude, Gemini and Perplexity. Sourcepath records each of the 4 separately, because they do not answer the same technical question the same way. A vendor named by three of them and missed by the fourth is a different situation from one named by all four, and a single blended number would hide it.

Can Sourcepath show which competitors appear for different buyer requirements?

Yes, and this is where cloud security gets interesting. You choose the questions, and Sourcepath records which vendors were named in the answers to each one. Because a question about agentless posture and a question about runtime protection on EKS are genuinely different questions, they frequently return genuinely different vendor sets — which a single category-level view averages away completely.

Can Sourcepath find competitors we aren’t already tracking?

Yes. Sourcepath records every organization named across your tracked questions, including ones you never added, and surfaces the ones appearing often enough to matter. In security this is common: a vendor you don’t consider a competitor at category level can be named repeatedly under one specific technical requirement, and you would have no reason to look for it.

How does Sourcepath identify the sources behind an answer, and compare them with our own pages?

It records the pages each answer cited, resolved to the specific page rather than just the site, and then reads those pages. It compares the terms recurring across them against the content of your own page and reports the comparison as counts — how many of the cited pages use a term, and whether yours does. In security this regularly surfaces a translation problem rather than a product problem: you support the capability, and your page describes it in different words.

Can Content Studio improve an existing page, not just plan a new one?

Yes. Recommendations attach to the specific place in the page where the change belongs — expand this introduction, add a section here, add this FAQ — and Sourcepath can draft the content for each one. Page-level items such as structured data or content depth are kept separate, because they have no single location on the page and no place to attach to.

What about sources we don’t own, like buying guides and comparison pages?

Those are often the ones doing the work. Sourcepath records the outside pages cited across your tracked questions and how many of those questions each one recurs across, then checks each for your name. A buying guide that keeps turning up around a requirement and names your competitors but not you is a specific, addressable piece of work, and it routes to the team that handles lists and comparisons.

How is visibility measured across tracked questions over time?

As the share of your tracked questions where your organization appears in at least one answer, reported with the count behind it — 13 of 25, not just a percentage. When you compare two points in time, Sourcepath compares only the questions that ran in both, so a reading never moves because the question set changed rather than the answers. See the reporting this produces.

How can a cybersecurity brand optimize for AI search?

Track the requirement-level questions security buyers actually ask, not just the category term. Sourcepath records which vendors each monitored engine names for those questions, which pages and outside sources it cites, and where you are missing. Because the named set changes with the requirement, the work is specific: the technical detail one page needs, or the buying guide that keeps being cited without you on it. See how content teams plan that work.

See where AI puts your security brand in the conversation.

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