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Use Cases · Email & Web Security

Every evaluation starts with "isn't this already included?"

Microsoft and Google ship security with the platform, so the first question a buyer asks an assistant is whether they need anything else. GrackerAI shows you how the engines answer that, and what it takes to be the answer.

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Do we need email security beyond Microsoft Defender

ChatGPT · justification prompt

ProtocolThreatWebHuman layer
GrackerAI tracking how AI engines answer email and web security platform questions

The email security AEO reality

The incumbent is bundled, and the model knows it.

When native platform security is good enough for most buyers, the category question becomes a justification question. Assistants answer it directly, and whoever published a credible gap analysis frames the whole evaluation.

Why email and web security buyers research differently

  • The native tool is the default Microsoft Defender and Workspace security are the baseline to beat, not a competitor
  • Protocol hygiene is the entry question SPF, DKIM and DMARC guidance is where most of this research actually starts
  • Incidents drive the search A successful phish converts a budget conversation into an immediate one
  • The human layer is inseparable Training and simulation come up in the same breath as filtering

What you get

What the platform does when the competitor is bundled

Diagnosis

Why the answer is "you already have it"

Diagnosis takes the prompts where the engines conclude native security suffices, and shows you what page would have to exist to change that conclusion.

See Diagnosis →
Monitoring

The protocol prompts nobody claims

Prompt Mining surfaces the SPF, DKIM and DMARC questions that begin most of this research and are usually answered by a free tool rather than a vendor.

See Prompt Mining →
Verification

Every identifier checked at the authority

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.

See Security Verification →
Content

Fabricated identifiers never ship

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.

See Content Engine →
Monitoring

CVE and news sweeps that become prompts

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.

See AI Visibility Monitoring →

Prompt coverage

The prompts that decide an email security shortlist

Configuration and protocol prompts run on ChatGPT and Claude; comparison and justification prompts pull sources on Perplexity.

  1. Justification “Do we need email security beyond Microsoft Defender” ChatGPTPerplexity
  2. Protocol “Setting DMARC to reject without losing legitimate mail” ClaudeChatGPT
  3. Threat “Stopping business email compromise that passes SPF” ClaudePerplexity
  4. Web “SWG or SASE for a fully remote workforce” PerplexityChatGPT
  5. Human layer “Does phishing simulation actually reduce click rates” PerplexityClaude

Plays

Four plays that move email and web security pipelines

  1. 01

    Answer the bundling objection directly

    If the engines conclude the native tool is enough, you are eliminated before evaluation. Find those prompts and publish the specific, honest gap analysis that changes the answer.

    Explore Diagnosis →
  2. 02

    Claim the protocol questions

    DMARC and DKIM guidance is where this research begins and is usually answered by a free checker. Being the cited source there puts you in the conversation before the category question is asked.

    Explore Prompt Mining →
  3. 03

    Be present when an incident hits

    A successful phish turns research urgent. Monitoring shows whether you appear on the prompts people ask in that moment, which are not the ones you optimised for.

    Explore AI Visibility Monitoring →
  4. 04

    Find who answers for you today

    Much of this category is explained by security blogs and free tools. Citations shows which of them the engines read, so outreach targets the ones that shape the answer.

    Explore LLM Citations →

The stack

The right product for every stage of the work

  1. Diagnose

    Find where you are missing today

    Prompt Research AI Visibility Monitoring AI Visibility Score

  2. Explain

    Understand why a prompt goes to someone else

    Visibility Diagnosis LLM Citations Competitor Monitoring

  3. Fix

    Turn findings into published pages

    Technical AEO Audit Recommendation Engine Content Engine

  4. Ship

    Get it live and keep it moving

    Tasks WordPress Publishing AI Search Analytics

Frequently Asked Questions

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 Individual, 4 on Team and all 10 on Enterprise.

Monitors are weighted toward the justification and protocol prompts where this category is actually decided, rather than category headlines a bundled incumbent already owns.

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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