It is the question that creates your entire pipeline, and it is now asked of a model before it is asked of a provider. GrackerAI shows you how the engines answer it, which providers they name, and what it takes to be named.
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Managed security is a considered, high-commitment purchase that begins with one comparison question. Providers who appear in that answer enter the shortlist; those who do not are never considered, because the buyer never learns they exist.
Diagnosis takes the build-versus-buy prompts where the engines recommend an internal team and shows what page would have to exist to change that recommendation.
Competitor Monitoring tracks every provider the engines name across your prompts, so you can see the shortlist as it actually forms rather than guessing at it.
CVE, CWE, ATT&CK, CAPEC and NIST references on your pages are resolved against the body that issued them, and an active-exploit claim is checked against CISA's Known Exploited Vulnerabilities catalog.
Identifiers are resolved before a draft is written, and anything the model produced that is not in that resolved set is stripped out before the page publishes.
New vulnerabilities and security news are swept on a schedule, scored for exploitability and for how closely they touch your products, and the survivors become monitored prompts automatically.
Build-versus-buy and cost prompts pull cited sources, so weight Perplexity alongside ChatGPT for this vertical.
| Prompt category | Example query | Where it lands most |
|---|---|---|
| Build vs buy | Should a 500-person company build a SOC or outsource | ChatGPTPerplexity |
| Cost | What does 24/7 monitoring cost in-house versus managed | PerplexityChatGPT |
| Service fit | MDR providers for a company with no security team | ChatGPTPerplexity |
| Accountability | What SLAs should an MSSP contract actually include | PerplexityClaude |
| Exit | What happens to detection content when you leave an MSSP | ClaudePerplexity |
This single comparison creates the category. If the engines answer it without naming providers, or name only the largest, the rest of your funnel never fills.
Explore Diagnosis →Buyers reason in salaries and shift coverage. An honest, specific cost comparison is the most citable asset in this category and most providers have never published one.
Explore Content Engine →What visibility a client keeps, and what they take with them on exit, is asked constantly and answered by almost nobody. Claiming that prompt set costs one page.
Explore Prompt Mining →Competitor Monitoring shows which providers the engines currently recommend for your prompts, which is usually a shorter list than the market and a solvable one.
Explore Competitor Monitoring →| Stage | What you use |
|---|---|
| Diagnose Find where you are missing today | Prompt Research AI Visibility Monitoring AI Visibility Score |
| Explain Understand why a prompt goes to someone else | Visibility Diagnosis LLM Citations Competitor Monitoring |
| Fix Turn findings into published pages | Technical AEO Audit Recommendation Engine Content Engine |
| Ship Get it live and keep it moving | Tasks WordPress Publishing AI Search Analytics |
Questions B2B SaaS teams ask before getting started
The same all 10 AI engines it tracks for every vertical: ChatGPT, Perplexity, Google AI Mode, Google AI Overviews, Gemini, Microsoft Copilot, DeepSeek, Brave Leo, Grok and Claude. Coverage is by plan — 3 engines on Starter, 4 on Scale and all 10 on Enterprise.
Monitors are built around the build-versus-buy comparison that creates this category, rather than around provider-name searches that only happen after a buyer already knows you exist.
Monitoring starts returning answers on the first run, so you can see where you stand immediately. Movement in citations follows publishing, which depends on how fast you ship the fixes the audit and diagnosis hand you.
No. Classic SEO governs ranking; AEO and GEO govern whether a model quotes you. The technical audit overlaps with an SEO audit in places, but the citation work sits alongside what you already do rather than replacing it.
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