Incident response is bought under pressure, and increasingly the first question goes to an assistant. GrackerAI shows you whether the engines name you when someone asks who to call, and what would have to exist on your site for them to.
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An organisation mid-incident does not run an evaluation. It asks a direct question and acts on the answer. That makes presence in a handful of urgent prompts worth more than broad category visibility ever will be.
Prompt Topics separates the two-in-the-morning questions from the retainer-planning ones, because they need different pages and convert on completely different timelines.
LLM Citations shows which sources the models read when answering an urgent question, which is often an insurer panel list or a directory rather than a vendor site.
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.
Urgent prompts skew to ChatGPT for speed; planning and credential questions pull cited sources on Perplexity.
| Prompt category | Example query | Where it lands most |
|---|---|---|
| Urgent | Who do we call after a ransomware detonation | ChatGPTPerplexity |
| Containment | First steps after confirming a business email compromise | ClaudeChatGPT |
| Retainer | Do we need an IR retainer at our size | ChatGPTPerplexity |
| Insurance | IR firms accepted by cyber insurance panels | PerplexityChatGPT |
| Forensics | Preserving evidence for a legal case after a breach | ClaudePerplexity |
A handful of urgent prompts convert immediately and nothing else in this category does. Find out whether the engines name you on them, because there is no second chance during an incident.
Explore AI Visibility Monitoring →Retainers are bought in advance by people asking whether they need one. That is a separate prompt set, a separate page and a far longer conversation.
Explore Prompt Topics →Panel membership and legal acceptability constrain who gets engaged. Citations shows which of those sources the engines actually read when answering.
Explore LLM Citations →Published incident analysis is the strongest credential in this category, and it is dense with identifiers. Verification resolves each one so the work stands up to the audience that reads it.
Explore Security Verification →| 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.
Urgent and planning prompts are tracked as separate topics because they convert on completely different timelines, and identifiers in published casework are resolved against the issuing authorities.
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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