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Use Cases · Threat Intelligence

You sell verified intelligence. Make sure your own pages are verifiable.

CTI buyers evaluate feeds on provenance and accuracy, which makes an unverifiable claim on your own site unusually expensive. GrackerAI tracks how the engines describe your intelligence and resolves every identifier you publish against the authority that issued it.

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Integration “TIPs that push cleanly into Splunk via STIX/TAXII”
  • Perplexity
  • Claude
  • ChatGPT
GrackerAI resolving threat intelligence identifiers against CVE, CWE, ATT&CK, CAPEC and D3FEND

The threat intelligence AEO reality

In this category, sourcing is the product, and the page is a sample of it.

A threat intelligence vendor whose own content cites a CVE that does not resolve has demonstrated something about its data quality. Buyers in this category notice, and so do the engines weighing whether to quote you.

Why CTI buyers research differently

  • Provenance is the evaluation Where intelligence comes from matters more than how much of it there is
  • It has to land in the existing stack STIX/TAXII and SIEM integration decide whether a feed is usable at all
  • Relevance beats volume Buyers ask how to cut noise, not how to get more indicators
  • Accuracy claims get checked This audience verifies identifiers as a matter of professional habit

What you get

What the platform does when sourcing is the product

Audit

A Standards score on every page

Security pages are scored on standards alongside technical, content and AEO readiness — whether a reference is linked, still live, real at the issuing body and relevant to the claim beside it.

See AEO Audit →
Intelligence

Which research the engines read

LLM Citations maps the research and advisory domains shaping answers in your category, so you can see whose analysis the model reached for instead of yours.

See LLM Citations →
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 a CTI shortlist

Threat intelligence prompts pull cited sources more than almost any other category, so Perplexity and Claude carry the most weight.

  1. Provenance “Which threat feeds have the best sourcing transparency” PerplexityClaude
  2. Integration “TIPs that push cleanly into Splunk via STIX/TAXII” ClaudeChatGPT
  3. Relevance “How to cut indicator noise from a commercial feed” ClaudePerplexity
  4. Sector “Threat intelligence focused on financial services” PerplexityChatGPT
  5. Free vs paid “Is a commercial feed worth it over open sources” ChatGPTPerplexity

Plays

Four plays that move CTI pipelines

  1. 01

    Make your own citations exemplary

    You are selling sourcing discipline. Verification resolves every CVE, CWE and ATT&CK reference on your site, so your content demonstrates the standard you charge for.

    Explore Security Verification →
  2. 02

    Be the research the engines quote

    Original analysis is the strongest citation asset in this category. Citations shows which research domains the models already read, so you know what you are competing against.

    Explore LLM Citations →
  3. 03

    Answer the noise question

    Buyers ask how to reduce indicator volume, not how to increase it. That prompt set is where the category is won and is rarely on a threat-intel content calendar.

    Explore Prompt Mining →
  4. 04

    Publish while the campaign is live

    Intelligence has a half-life. Automated sweeps surface the CVEs and campaigns touching your coverage so analysis ships while buyers are still searching for it.

    Explore Content Engine →

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.

Every identifier you publish is resolved against NVD, MITRE, NIST and the CISA KEV catalog, which matters more here than anywhere else, since sourcing discipline is the thing being sold.

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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