SEO vs GEO for B2B cybersecurity firms: which matters more right now

If you run marketing for a cybersecurity firm, an MSSP or a pentest shop, you have probably had the same question thrown at you twice this quarter: do we keep spending on SEO, or shift the budget to GEO. The honest short answer is both still matter, but the ratio is moving, and the engines moving fastest are not the ones most agency pitches will tell you about.

Here is what we actually see when we track four answer engines across ten cybersecurity buyer-intent and informational prompts every week, and what that means for how you spend the next three months of marketing budget.

The short answer, since you are busy

For a cybersecurity firm selling to CISOs, security directors or technical founders in Australia right now, your discoverable traffic and leads over the next quarter will come from three sources in roughly this order.

1. Google traditional search (SEO): still 55 to 70 percent of discoverable intent traffic.
2. Google AI Overviews (part SEO, part GEO): 10 to 15 percent and climbing.
3. Perplexity, ChatGPT, Claude and Gemini (GEO): 15 to 30 percent and climbing fast, with the mix skewed to buyers who are already technical.

Claude and ChatGPT in particular are not fringe. They surface named vendors to buyers who have specifically chosen to ask an AI instead of Google, and those buyers are overwhelmingly technical. Ignoring them is ignoring the top of your most qualified funnel.

But Google is not dead. If anything, Google is the engine most tightly woven into both sides: the one your buyer still types into, and the retrieval layer that AI Overviews and most Perplexity queries route through. SEO still determines whether your pages are reachable at all.

What a cybersecurity buyer actually does in late 2026

The buyer behaviour has split in two.

The investigator who already knows what SOC monitoring, EDR or SIEM means now opens ChatGPT, Claude or Perplexity first. They ask something like “which Australian firms run managed detection and response for mid-market law firms” and they expect three to five named vendors with a short line on each. If your firm is not in that list, you are not on the shortlist that reaches the first vendor conversation.

The buyer who is still orienting, often a non-technical executive handed a budget and told to improve the firm’s security posture, still runs Google searches. They land on comparison blog posts, agency directories, LinkedIn and the top three organic results. SEO owns this buyer entirely for now.

The dangerous middle is the investigator who runs a Google search, sees the AI Overview, and never clicks a result. For that search, you are only visible if you are both ranking in traditional SEO and extractable by the AI Overview engine. Those two things rarely come from the same page design.

What SEO still does for a cybersecurity firm

A short list of things SEO is still the only lever for.

Category ranking. If a buyer searches “managed SOC Sydney” or “pentest firm Melbourne,” Google’s top three organic results still receive the majority of clicks. Nothing in GEO replaces this. If you are not on page one for your category-plus-city terms, fix that first.

Technical reachability. AI engines retrieve what Google and other crawlers have already indexed. A site that fails Core Web Vitals, blocks crawlers in robots.txt, or buries content behind heavy JavaScript is invisible to both. SEO fundamentals are the floor underneath GEO.

Lead-gen anchors. Comparison content, calculators, free self-assessment tools and your own vertical landing pages still earn backlinks and still convert visitors. Those pages continue to drive pipeline whether or not an AI engine ever cites them.

Local pack visibility. Google Business Profile remains the single highest-leverage listing for geo-targeted searches. AI Overviews frequently pulls the local pack verbatim for Australian cybersecurity queries. One free profile earns you placement on both.

What GEO does that SEO cannot

GEO owns the part of the funnel where a buyer specifically chose an AI over a search engine. Three mechanics matter here.

First, named-entity extraction. Perplexity and AI Overviews read a small set of retrieved pages and compose an answer that names specific vendors. If your firm is on those pages, named explicitly next to the service term, you get cited. If you are not, you do not. SEO ranking inside a directory page matters less than being on the directory at all. In our tracking recently, Perplexity cited Clutch at page 31 as a source for an Australian cybersecurity query, which means ordering inside the directory is noise compared to presence.

Second, training-cycle presence. Claude and ChatGPT name firms they encountered many times, in authoritative contexts, during training. That means third-party coverage, podcast guest appearances, panel transcripts, open-source projects and research reports. The payoff is slow, six to twelve months per publication, which is exactly why most firms skip it, which is exactly why the window is open.

Third, structured retrievable facts. AI engines preferentially quote numbers, specific service terms, response time commitments and named verticals. A page that reads “we help you get more from your security stack” is unquotable. A page that reads “PayloadFoundry provides managed detection and response for mid-market Australian law firms with a 15 minute SLA on P1 alerts” is retrievable against a dozen matching prompts.

In our tracking across the engines this past week, ChatGPT moved from a zero percent citation rate to seven percent on PayloadFoundry’s tracked prompts. That is a two-citation jump off a small base, and we are not treating it as a trend yet, but it is the first evidence that generation-first engines will surface a small specialist firm when the training signal is right. The same week, Perplexity dropped from nine percent to three percent, which is the standard retrieval noise. Treat each engine on its own clock.

The specific allocation we recommend this quarter

If you have eight to twelve hours a week of marketing time, here is how we would spend it.

Four to six hours a week on SEO fundamentals. Fix Core Web Vitals, close indexation gaps, write or rewrite the two or three service pages that match your highest-volume queries. Build your Google Business Profile and your category directory profiles (Semrush agencies, Clutch, Digital Agency Network). These moves earn you both SEO traffic and GEO reachability for Perplexity and AI Overviews. One set of changes, two engines moved.

Two to four hours a week on GEO-specific moves. Rewrite the opening paragraph of each service page so your firm name sits next to the service term, the vertical and the region. Publish one pillar article per month that targets a question your buyer actually asks a chatbot (“why is my MSSP not showing up in AI answers,” “what does a GEO audit cost for a cybersecurity firm,” “SEO vs GEO for B2B cybersecurity”). Submit one guest article pitch per month to a trade publication the engines index (CSO Online Australia, iTnews, SC Media, Dark Reading, The Record).

One to two hours a week on measurement. Track at least six to ten prompts across the four engines weekly. Without a baseline you cannot tell whether a jump is your work or the engine reshuffling. A spreadsheet is enough to start; the point is seeing directional change inside a quarter.

The ratios shift as your results come in. If a particular directory keeps showing up in your citations, double the time spent on directory optimisation. If a trade publication responds to a pitch, triple the time spent on editorial outreach. The weekly measurement is what tells you where to tilt.

How to tell which is working for your firm

The slow metric is citation count across your tracked prompts per week. Expect noise for the first month. Six to eight weeks is when real signal shows, and training-cycle effects on Claude and ChatGPT take longer again.

The fast metric is where your inbound leads say they found you. If a prospect tells you they saw you in a ChatGPT answer, write down the exact query. If three prospects name Perplexity in a month, you know the directory play is converting. If every lead still says “Google,” you have your allocation question answered: keep most of the budget on SEO fundamentals until the GEO signal lifts.

The anti-pattern we see most often is cybersecurity firms rebuilding their homepage for “AI readiness” without first measuring what the engines currently say about them. The homepage rewrite is cheap once you know which prompts to optimise against. It is expensive if you rewrite before measuring, because you cannot tell afterwards whether you helped or hurt.

Start with the measurement. The optimisation follows from the data.

PayloadFoundry runs weekly GEO tracking across Claude, ChatGPT, Gemini and Perplexity for cybersecurity firms, MSSPs and MSPs. If you want to see what the engines currently say when prospects ask about your category, write to Hello@payloadfoundry.com with your firm’s name and the three queries you most want to appear on.