Where data lives, who holds the keys and which regime applies are the questions that decide this category, and they are asked of assistants first. GrackerAI shows you which of those answers name you and which quietly do not.
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A platform that cannot satisfy a residency requirement or a bring-your-own-key demand is not a weaker option, it is an excluded one. Those are verifiable facts, which makes them exactly the sort of thing a model will state confidently and sometimes wrongly.
Prompt Topics tracks each regulatory context separately, so a strong position under one regime does not hide absence under another.
The audit verifies that a named publication such as FIPS 197 or SP 800-53 is linked, live, real at the issuing body and relevant to the claim beside 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.
Regulatory prompts pull cited sources heavily, so weight Perplexity and Claude on this vertical.
| Prompt category | Example query | Where it lands most |
|---|---|---|
| Residency | Encryption platforms that keep EU data in the EU | PerplexityClaude |
| Key custody | Which vendors support hold-your-own-key properly | ClaudePerplexity |
| Discovery | Finding sensitive data across unmanaged storage | ChatGPTClaude |
| Validation | FIPS 140-3 validated encryption for regulated workloads | PerplexityChatGPT |
| Coverage | DLP that works across SaaS as well as endpoints | ChatGPTPerplexity |
One global data-protection page cannot answer a question that changes by jurisdiction. Track the regimes separately and publish where the engines currently answer without you.
Explore Content Engine →BYOK and HYOK support is a yes-or-no filter. If the engines are unsure, they will name someone who was explicit. An exact, current support page settles it.
Explore Diagnosis →FIPS and NIST references are checked by this audience as a matter of habit. Verification resolves each named publication at the issuing catalog before it publishes.
Explore Security Verification →Buyers ask how to find sensitive data long before they ask how to encrypt it. That earlier prompt set is usually unclaimed and leads directly into the rest of the evaluation.
Explore Prompt Mining →| Stage | What you use |
|---|---|
| Diagnose Find where you are missing today | AI Prompt Mining AI 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.
Each regulatory regime is tracked as its own topic, and cryptographic and standards references such as FIPS 197 are verified against the issuing catalog rather than trusted.
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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