GrackerAI Review
AI visibility monitoring with actionable fix reports for cybersecurity and B2B SaaS brands tracking citations across ChatGPT, Perplexity, Claude, Gemini, and more
GrackerAI is built for cybersecurity and B2B SaaS brands that want to stop guessing about AI visibility and start getting a prioritized list of what to fix each week. The Starter tier at $99/month is accessible, and the differentiation from generic visibility tools is real: cybersecurity-tuned analysis models and a real buyer prompt library make the data more accurate for that niche. The catch is that white-label reporting and API access are locked to Enterprise, making the Starter and Scale tiers weaker for agencies.
Pros and cons
- Every visibility score ships with specific prompt, content, and citation fixes, not just a number to interpret
- Cybersecurity-tuned analysis models produce more accurate citation scoring for security vendors than generic tools
- Tracks up to 9 AI engines on Enterprise, including ChatGPT, Claude, Perplexity, Gemini, Grok, DeepSeek, and Meta Llama
- 7-day free trial with no credit card required for evaluation
- Autopilot content generation for articles, listicles, and comparison pages optimized for AI citation
- White-label reporting and API access are Enterprise-only, limiting agency use cases on lower tiers
- Niche focus on cybersecurity and B2B SaaS means configuration and prompt libraries are less relevant outside tech
- Scale plan ($499/month monthly, $399 annually) is a significant jump from Starter for mid-sized teams
- Starter plan tracks only 3 AI engines weekly, which is limited for brands active across more models
What is GrackerAI?
GrackerAI is an AI visibility monitoring and content optimization platform built specifically for cybersecurity vendors and B2B SaaS companies. The platform tracks how ChatGPT, Perplexity, Claude, Gemini, and other AI engines mention your brand versus competitors, then delivers a prioritized list of actionable fixes with each weekly report rather than just raw data to interpret. The tagline "actionable output, not just data" reflects this design choice: every visibility score comes with specific prompt, content, and citation changes that are expected to move that score.
The niche focus is a genuine differentiator. GrackerAI uses cybersecurity-tuned analysis models and a prompt library built from real buyer queries in the security category, which produces more accurate citation scoring for security vendors than generic AI monitoring tools that apply the same models to every industry. The Enterprise tier adds real buyer prompts sourced from data partners, page-level monitoring for up to 100,000 pages, and multi-product monitoring under one brand.
Content production is built into the platform through Autopilot modes for standard articles, listicles, and alternatives and comparison pages. Listicles are particularly valuable for GEO because AI engines frequently cite them when answering "best X for Y" queries. Comparison pages capture high-intent buyers researching alternatives. Both types are generated automatically and published to a connected CMS on higher tiers.
Core features
AI Visibility Monitoring with Actionable Fixes
GrackerAI tracks how often your brand is cited across monitored AI engines and delivers a weekly visibility score. Unlike tools that stop at the score, each report includes the specific prompt rewrites, content structure changes, and citation signals that are expected to improve the next report. The Starter plan monitors 100 prompts weekly across 3 AI engines; Scale expands to 400 prompts daily across 6 engines; Enterprise covers 1,000+ prompts hourly across 9 engines.
Cybersecurity-Tuned Analysis Models
Generic AI visibility tools apply the same citation scoring logic across all industries. GrackerAI's analysis models are trained on cybersecurity and B2B SaaS patterns, meaning the prompt library, intent classification, and competitive benchmarking reflect how buyers in those categories actually search AI engines. Enterprise plans also include real buyer prompts sourced from data partners, which improves the accuracy of visibility scores further.
Autopilot Content Generation
GrackerAI automatically generates three types of content optimized for AI citation: authoritative articles that establish topical expertise, listicles that position your product in "best of" answer formats, and alternatives and comparison pages that capture buyers researching your competitors. Content is published to your CMS on Enterprise and Scale plans. Starter includes 3 LLM-optimized articles per month, Scale includes 10.
Competitor Visibility Benchmarking
Every plan includes benchmarking that shows where your brand appears in AI responses versus competitors. You see which competitors dominate which topic clusters, where you have coverage gaps, and which high-intent prompts your competitors are winning that you are not. This data drives the gap analysis and remediation roadmap on Enterprise.
AI Search Analytics
GrackerAI's analytics layer connects AI citation tracking to pipeline, not just impressions. The platform identifies AI-referred traffic that typically lands as direct in standard analytics, maps it to leads and opportunities, and produces a revenue attribution view for AI search. This addresses the core challenge of defending AI visibility investment to finance teams who want a number, not a hunch.
Pricing
| Feature | Starter $99/mo | Scale $499/mo | Enterprise Custom |
|---|---|---|---|
| Prompts tracked | 100 weekly | 400 daily | 1,000+ hourly |
| AI engines | 3 | 6 | 9 |
| LLM-optimized articles per month | 3 | 10 | Unlimited |
| Competitor benchmarking | ✓ | ✓ | ✓ |
| Actionable fixes with every report | ✓ | ✓ | ✓ |
| Cybersecurity prompt library | ✗ | ✗ | ✓ |
| Page-level monitoring | ✗ | ✗ | Up to 100K pages |
| CMS publishing | ✗ | ✗ | ✓ |
| White-label reporting | ✗ | ✗ | ✓ |
| API access | ✗ | ✗ | ✓ |
| Seats | 5 | 10 | Custom |
Who it is for
Selling security software in a category where AI engines are increasingly where enterprise buyers begin their vendor research. GrackerAI's cybersecurity-tuned models and buyer prompt library mean the visibility data reflects how actual security buyers search, not a generic prompt set. The comparison and alternatives pages drive high-intent traffic from buyers who are already evaluating vendors.
Getting cited in AI engines feels good but proving it to finance requires connecting citations to pipeline. GrackerAI's AI search analytics layer maps AI-referred traffic through to leads and opportunities, giving marketing teams a defensible revenue number to put on a board deck rather than impressions data.
Building an AI search monitoring service for cybersecurity and SaaS clients, and needing white-label reports to package data in client presentations. White-label and API access are Enterprise-tier features at GrackerAI, so agency use cases require an Enterprise conversation with the team.
Verdict
GrackerAI earns its position for cybersecurity and B2B SaaS teams by delivering what most AI visibility tools do not: a prioritized fix list with every report rather than a dashboard to interpret. The niche-tuned models and buyer prompt library produce more accurate scoring for security vendors than generic tools, and the AI search analytics layer addresses the ROI attribution problem that stalls many AI visibility programs. The limitations, white-label and API locked to Enterprise, and fewer engines on lower tiers, are real, but within the target audience, the platform makes a compelling case.
Frequently asked questions
Which AI engines does GrackerAI monitor?
Starter monitors ChatGPT, Perplexity, and Google AI Mode (3 engines weekly). Scale adds Google AI Overviews, Gemini, and Claude (6 engines daily). Enterprise adds DeepSeek, Meta Llama, and Grok (9 engines, monitored hourly).
Is there a free trial?
Yes. GrackerAI offers a 7-day free trial with no credit card required. The free trial gives access to evaluate the platform before committing to a plan.
Does GrackerAI work for industries outside cybersecurity and B2B SaaS?
GrackerAI is positioned and optimized for cybersecurity and B2B SaaS. The analysis models, prompt libraries, and content templates are tuned for tech verticals. Brands outside these categories can use the platform but will not benefit from the niche-specific optimizations.
Is white-label reporting available?
White-label reporting is an Enterprise-tier feature only. Starter and Scale plans do not include white-label output. Agencies that need branded client reports need to engage the Enterprise sales process.
What does the annual pricing look like?
Annual billing saves 20%. Starter is $79/month (billed as $948/year) and Scale is $399/month (billed as $4,788/year). Enterprise pricing is custom regardless of billing period.