How Yolando Helps Cybersecurity Providers Win in GEO and Appear in AI Answers
November 26, 2025
Teams are choosing their next cybersecurity vendor inside AI conversations
AI has hit cybersecurity providers from two directions at once.
On one side, you are dealing with AI amplified cyber risks: scalable phishing, deepfake BEC fraud, automated recon, and faster ransomware operations.
The second impact is easier to miss, but it is already changing customer acquisition.
Customers do not just search for “best cybersecurity provider” anymore. They ask AI tools things like:
“What type of provider is a better fit for a 500-person SaaS company, MDR or MSSP?”
“CrowdStrike vs SentinelOne vs Microsoft Defender. What is the real tradeoff?”
“What controls should we prioritize to meet SOC 2 or ISO 27001 quickly?”
And they act on those answers.
So AI is reshaping acquisition the same way its been reshaping threats: fast and at scale. The first recommendation people trust is now an AI response, not a search result. Which means visibility inside the model is visibility in the market.
AI is not a future add-on in cybersecurity. It is already woven into how teams detect risk, triage threats, and decide what to trust. The 2025 ISC2 “AI Pulse Survey” shows 30% of cybersecurity professionals are already using AI security tools in operations, and another 42% are actively evaluating or testing them. Practitioners are testing the waters with AI-fueled solutions at scale, and adoption is quickly becoming table stakes.
As buyers adopt AI in security workflows, they’re also using it to pick vendors. The journey is shifting from ‘search then compare’ to ‘ask AI then validate.’ AI is now the first gatekeeper, so success isn’t traffic volume, it’s being cited in the answer. Clicks from AI come from pre-qualified buyers.
AI Traffic Brings Higher-Intent Buyers
Current referral data shows AI sourced visitors engage more deeply, with sessions about 8% longer on average and in some vertical cuts up to roughly 40% longer, plus more pages viewed per visit. Conversion performance is at least on par with organic search in aggregate, which tracks with an audience that has already done the first round of evaluation inside the model.
Cybersecurity Teams Are Building Shortlists Inside AI
Cybersecurity buyers are out in front of this shift. Technical teams are adopting LLMs faster than almost any other persona because it saves time and cuts through vendor noise. Around 56% of tech buyers now rely on AI or chatbots as a top source for vendor discovery, roughly double the rate of non technical industries. About 80% say they use AI tools as much or more than traditional search for work research. That creates a shadow funnel where prospects build and refine shortlists inside AI conversations before a human ever hits your site.
Bottom line: AI is where security shortlists are being formed. If you’re missing from those answers, or the model can’t cite why you’re a safe choice, you’re filtered out at the highest-intent moment.
That is exactly what Yolando gives you. A prompt-by-prompt view of how leading AI models describe your brand, when they recommend you, and where competitors are slipping into the answer, so you can close the gaps before they cost you customers.
See how AI describes your brand and whether you make the shortlist
AI is becoming the first place security teams ask who to trust, even though it’s also a threat they’re racing to contain. So the model’s framing of your brand is now the first, and often the deciding, impression.
Yolando brings that story into the open across models, markets, and real buyer questions, so you can stop guessing how you show up and start shaping what the models understand.
A full audit of your AI presence
Yolando shows you exactly how AI platforms portray your brand today:
Where you show up for high-intent cybersecurity prompts (and where you don’t)
How assistants describe your strengths and tradeoffs
Which competitors AI recommends instead, and in which scenarios
What sources and citations models rely on when they talk about you
This isn’t vanity reporting, it’s the exact answer teams get when they ask AI, “What security system should I choose?”
Spot hidden visibility gaps before they cost you buyers
Because AI stitches together information from across the web, it can easily:
Miss services or differentiators you want to associate with your product
Lean on outdated reviews or old pricing pages
Credit competitors with advantages you actually offer
Skip you entirely when citations are thin or unclear
Yolando spots and surfaces these blind spots early, so you can correct the story at the source before it keeps influencing future AI recommendations.
Keep your AI narrative aligned with what actually wins trust
In cybersecurity, how you’re framed matters as much as the service you are selling. Teams listen for whether you feel:
Secure-by-design vs risky / opaque data handling
Transparent packaging/coverage vs hidden limits
Transparent on pricing vs. “gotcha” subscriptions
Integrates cleanly with your stack vs heavy operational drag
In AI search, you’re not competing on pages anymore; you’re competing in the same paragraph. So every missing differentiator matters.
If AI under-mentions what makes you the safer choice, detection coverage, response SLAs (MTTD/MTTR), integration surface, or compliance readiness, you’ll see it, and you’ll know exactly what to reinforce.
The new cybersecurity battlefield is the AI answer
Even if you haven’t seen your AI narrative yet, one thing is already true: AI doesn’t evaluate you in isolation. It compares you to every other provider it can confidently surface for the same question. That’s why understanding your competitive landscape inside these models is just as important as understanding your own visibility.
Your real competitors are the brands AI recommends first
In AI search, the “top result” is the answer itself. The providers that show up most often aren’t always the biggest names. They are the ones AI can describe clearly and back up with quotable, specific information. In benchmark testing, GEO techniques increased AI visibility by up to 115% for sites ranked around #5 in Google, meaning smaller or mid-pack vendors can leapfrog into the AI shortlist fast.
Yolando reveals:
Which security brands AI recommends most often
What kinds of prompts they’re winning (“best endpoint/XDR for mid-market,” “best cloud security/CNAPP for AWS + Azure,” “best identity/zero-trust approach for remote workforce”)
How AI explains why those competitors are strong
Where you’re missing from the conversation entirely
Trust is the ranking factor
Cybersecurity is a high-stakes, risk-weighted purchase. Security buyers are looking for vendors that are proven, reliable under attack, and transparent about tradeoffs. If the broader web frames your brand as invasive, unclear, or inconsistent, AI absorbs that signal and repeats it in its recommendations.
Yolando helps you track the trust signals AI is learning from, so you can see whether the models frame you as credible, privacy-respecting, and dependable, or not.
Citations are the new shelf space
AI models cite what they trust, and citation optimization is one of the clearest levers you control. In Cornell benchmark research on GEO, adding strong citations, stats, and quotable references increased visibility in AI answers by up to 40%, with the biggest gains on factual, comparison-style prompts. That is exactly the query type security buyers run.
In security, the sources that win citations tend to be clear, current, buyer-critical detail: architecture and technical docs, threat research, MITRE ATT&CK evals or detection mapping, compliance hubs (SOC 2/ISO/HIPAA), integration guides, SLAs or IR playbooks, and independent analyst or lab testing.
Yolando shows:
Which sources and citation types AI is using to rank and describe providers
Where competitors are being cited and you aren’t
What content you need to publish or update to earn those citations
Yolando benchmarks your Share of Voice, Sentiment Score, Position, and Citation Share against tracked competitors, so you stop guessing where you stand. Because in AI answers, citation share compounds.
Turn AI visibility into trust with citation ready content
Once you know and understand your AI footprint, the next step is earning citations with prompt-aligned, fact-dense pages, the kind of citations that GEO benchmarks show has won on CISO-style comparison queries.”
That’s how Yolando turns insight into action. We help you ship citation-ready pages fast, so assistants have reliable material to quote:
Fast, human, AI-optimized education. Publish resources that map directly to real prompts:
“how to reduce ransomware risk quickly”
“best MDR vs MSSP for lean security teams”
“how to prevent deepfake-enabled BEC fraud”
“what to do in the first 24 hours after an incident”
Fix narrative gaps at the feature level. If AI doesn’t understand your data-handling safeguards, detection coverage, or response SLAs/workflow integration, Yolando flags it and recommends updates that close the gap at the source.
Outrun competitors with fresh, trustworthy information. Security changes fast, new CVEs/exploits, new cloud patterns, new compliance expectations. AI rewards freshness and specificity, and Yolando helps you keep pace.
This is what GEO looks like in practice: make your expertise easy for machines to quote and easy for humans to trust.
Why Yolando is the best GEO platform for security providers
As AI reshapes both risk and research, security providers need a new kind of visibility: one that earns trust inside the tools buyers start with. Yolando is built for this exact moment:
Always-on monitoring across AI platforms to track how you show up for high-intent prompts.
Trust-grade sentiment tracking to see whether assistants frame you as safe, privacy-respecting, and reliable.
Prompt-to-performance intelligence to map TOFU → MOFU → BOFU conversations and pinpoint where you win or lose.
Gap-to-article recommendations. When AI is missing key topics or misframing your strengths, Yolando recommends the exact articles to publish next to fill those gaps and earn the citation.
Citation-ready content recommendations to close gaps with AI-quotable updates, fast and on-brand.
One system for Knowledge → Insights → Action so you don’t just measure AI search, you shape it.
The future of cybersecurity marketing starts with AI visibility
A divide is forming fast: the providers AI recommends will compound trust and demand, while the ones it skips get filtered out before search even starts.
The upside is this isn’t random. AI visibility is measurable and fixable. In controlled GEO benchmarks, citation and evidence upgrades lifted AI visibility by up to 40% overall, and by more than 100% for vendors sitting outside the top Google slot. That makes AI share a real early-mover advantage, not a black box.
That’s exactly where Yolando comes in: we show you how AI assistants are presenting your brand today, where you’re missing from high-intent home security prompts, and what to fix to earn the recommendation. So instead of guessing, you can measure your AI visibility, close the gaps, and compete where the shortlist now forms.
Want to know if you’re on the AI shortlist, and who’s beating you there? Let Yolando show you, prompt-by-prompt. Book a demo.
FAQ:
What’s changing about cybersecurity discovery right now?
Cybersecurity buying has shifted to AI-first discovery. Buyers increasingly start with ChatGPT, Gemini, Claude, or Perplexity, and those answers shape the shortlist before traditional search even begins.
Why does AI visibility matter for cybersecurity providers?
Because AI is now a gatekeeper. If models do not surface your brand for high-intent prompts, you often never make consideration, no matter how strong your product is.
What makes AI models recommend one vendor over another?
Trust and citations. Models favor brands they can describe clearly and back with credible, up-to-date sources. Thin or outdated coverage leads to weaker positioning or no mention at all.
How does Yolando help you win in AI-driven search?
Yolando shows, prompt by prompt, how AI models describe your brand, when they recommend you, and where competitors are taking the shortlist. Then it tells you what to publish or fix so you show up in the answers that drive revenue.
