What does "AI visibility" mean for my business?

When someone asks ChatGPT, Claude, or Gemini "what is the best..." or "where can I find...", AI gives specific recommendations. AI visibility is a measure of how often — and how positively — these AI platforms mention your business. It's the new version of being on the first page of Google, except now there are no pages — just one answer.

Which AI platforms do you monitor?

Pendium monitors ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek, and Google AI Overviews — seven major AI platforms that consumers use to research local services. We run real queries that your customers actually ask and analyze the responses for mentions of your business, competitors, and industry topics.

How does Pendium improve my visibility?

Three ways. First, we identify the exact queries and topics where you're invisible. Second, we generate AI-optimized content — articles, guides, social posts — designed to help AI agents understand your business and recommend your services to the right people. Third, we continuously monitor to track improvement and find new opportunities. Most clients see measurable improvement within 60 days.

How long until I see results?

You'll get your first visibility report within minutes of signing up. Actual visibility improvement varies, but our clients typically see a 47% average improvement within 60 days. Some see results faster — it depends on your current online presence and how competitive your local market is.

Do I need to be technical to use this?

Not at all. Enter your website URL and Pendium handles everything: scanning AI platforms, analyzing your visibility, generating content, and tracking improvement. The dashboard is designed for business owners, not engineers. If you can check your email, you can use Pendium.

What makes this different from SEO?

Traditional SEO optimizes for Google's search rankings — blue links on a results page. AI visibility is different: AI doesn't show links, it gives direct answers. Even if you rank #1 on Google, ChatGPT might recommend a competitor. Pendium optimizes for the new paradigm — making sure AI platforms know about, trust, and recommend your business.

Pricing

Get a demo

Tracebit

Visibility30

Vibe96

Businesses/Cybersecurity/Tracebit

AI Visibility & Sentiment

Tracebit

Tracebit is a cloud-native threat detection and deception platform that automates the deployment of digital decoys across cloud infrastructure to identify intruders. By employing an 'assume breach' mindset, the platform provides high-fidelity alerts with near-zero false positives, allowing security teams to catch attackers early in the kill chain.

Active Monitoring

tracebit.com

Cybersecurity

AI Visibility Score

30/100

Low

Sentiment Score

96/100

Score by Priority

How often this business is recommended to users across different types of conversations — from direct product queries to broader open-ended conversations where AI could recommend this company's products and services

core

adjacent

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Tracebit today.

Tracebit maintains a strong reputation as a trusted authority for cloud deception when explicitly searched, yet it remains significantly overshadowed by competitors in broader discovery scenarios. While the brand secures top-tier visibility with Cloud Architects, it currently fails to convert interest in critical infrastructure tooling into consistent AI-driven recommendations.

Working in your favor

High brand resonance in 'vibe check' queries across all major platforms including ChatGPT, Claude, and Gemini.

Strong positioning for Cloud Architects, who are the most engaged persona for Tracebit's core technology.

Effective presence in AI Overviews for targeted 'cloud deception tool' queries where it frequently achieves the #1 position.

Gaps to close

Total absence in broader 'Security Tooling & Infrastructure' conversations where enterprises define their primary tech stacks.

Limited visibility in high-intent 'alternatives to' queries compared to established market leaders like Wiz.

Inability to influence technical implementation queries, particularly regarding Terraform-based deployment workflows.

Opportunities

Capitalize on the existing momentum with Cloud Architects to establish Tracebit as the standard for 'Cloud-Native Threat Detection'.

Develop content specifically mapped to 'Infrastructure as Code' and Terraform integration to capture technical implementation traffic.

Broaden content strategy to move beyond niche deception queries into the 'Enterprise Security Tooling' category.

Highest-Impact Actions

Produce technical documentation and comparison assets optimized for 'alternatives to Wiz' search intent.

Competitors are currently dominating these high-intent evaluation queries, and Tracebit needs to bridge the gap to become a default consideration for potential switchers.

Publish 'Infrastructure as Code' deployment guides specifically for Terraform and cloud-native security workflows.

The data shows a critical gap in technical deployment queries; providing this knowledge will align Tracebit with the workflows of your most engaged persona, the Cloud Architect.

Develop 'Security-First Enterprise' whitepapers that place Tracebit within the broader context of cloud-first security infrastructure.

Tracebit is currently missing from foundational enterprise security discussions; positioning the brand as a necessary piece of the core stack will increase visibility in general tooling queries.

Value Proposition

Tracebit offers a unique '7 lines of code' deployment model using Infrastructure-as-Code (Terraform) to inject thousands of tailored, low-maintenance decoys into cloud environments, turning them into a 'minefield' for attackers while maintaining zero noise for security teams.

Overview

Mission

To reduce the global mean time to response to an incident from months to minutes with a solution that is quick to deploy and simple to understand.

Products & Services

Tracebit Enterprise PlatformTracebit Community EditionCloud Canaries & LuresIntegration Services

Current State

Visibility Landscape

A high-level view of how Tracebit performs across AI platforms, broken down by strategic priority level — from core brand queries to growth opportunities.

	ChatGPT	Claude	Gemini	AI Overviews
Reputation1q Brand recognition & direct queries	97	97	97	97
Core4q Product/service category queries	33	55	30	45
Growth Areas1q Adjacent, aspirational & visionary	—	0	0	0

Competitive Landscape

Wiz19 mentions

Terraform17 mentions

Thinkst Canary13 mentions

Acalvio ShadowPlex12 mentions

Cowrie10 mentions

T-Pot10 mentions

Splunk9 mentions

AWS9 mentions

Illusive Networks8 mentions

Koney8 mentions

Tracebit8 mentions

Analysis

Insights & Recommended Actions

What's working, what's not, and specific steps to improve Tracebit's AI visibility.

Key Findings

Strength

High brand resonance in 'vibe check' queries across all major platforms including ChatGPT, Claude, and Gemini.

Strength

Strong positioning for Cloud Architects, who are the most engaged persona for Tracebit's core technology.

Strength

Effective presence in AI Overviews for targeted 'cloud deception tool' queries where it frequently achieves the #1 position.

Recommended Actions

Produce technical documentation and comparison assets optimized for 'alternatives to Wiz' search intent.

Competitors are currently dominating these high-intent evaluation queries, and Tracebit needs to bridge the gap to become a default consideration for potential switchers.

Publish 'Infrastructure as Code' deployment guides specifically for Terraform and cloud-native security workflows.

The data shows a critical gap in technical deployment queries; providing this knowledge will align Tracebit with the workflows of your most engaged persona, the Cloud Architect.

Develop 'Security-First Enterprise' whitepapers that place Tracebit within the broader context of cloud-first security infrastructure.

Tracebit is currently missing from foundational enterprise security discussions; positioning the brand as a necessary piece of the core stack will increase visibility in general tooling queries.

Programmatic Testing

Sample Conversations

We programmatically analyze questions that real customers are asking to AI agents and chatbots, extract brand mentions and sentiment, analyze every response, and synthesize the data into an action plan to increase AI visibility.

ChatGPT

Claude

Gemini

AI Overviews

Cloud Threat Detection & Deception Strategy(3 queries)

“what are the best cloud deception tools to use for catching attackers in aws”

1/4 platforms mentioned

Core

ChatGPT

1.Acalvio ShadowPlex Cloud Security

2.Attivo ThreatDefend

3.Illusive Networks

4.Thinkst Canary

5.Lupovis

+4 more

Claude

1.Zscaler Deception

2.Acalvio ShadowPlex

3.Fidelis Deception

4.HoneyTrail

5.Terraform

+2 more

Gemini

1.Acalvio ShadowPlex

2.Microsoft Sentinel

3.Splunk

4.ANANTIS (TrapEye)

5.Fortinet (Fortinet FortiDeceptor)

+3 more

AI Overviews

1.Acalvio ShadowPlex

2.Zscaler Deception

3.SentinelOne Singularity Hologram (Attivo Networks)

4.Fortinet FortiDeceptor

5.Rapid7 InsightIDR

6.Tracebit

+3 more

“give me some good alternatives to wiz for cloud native threat detection that use honey tokens or decoys”

1/4 platforms mentioned

Core

The Technical Detection Engineer · Detection Engineering Lead

ChatGPT

1.Wiz

2.Acalvio ShadowPlex

3.CounterCraft Cloud Deception

4.DeceptIQ

5.Nothreat

+5 more

Claude

1.Wiz

2.Acalvio (Acalvio ShadowPlex)

3.CrowdStrike (CrowdStrike Falcon Identity Protection)

4.Splunk

5.SentinelOne (SentinelOne Singularity Hologram, SentinelOne Singularity Identity)

+3 more

Gemini

1.Wiz

2.Acalvio ShadowPlex

3.AWS

4.Azure

5.GCP

6.Tracebit

+9 more

AI Overviews

1.Wiz

2.Acalvio ShadowPlex Cloud Security

3.CrowdStrike Falcon Next-Gen Identity Security

4.Zscaler Deception

5.SentinelOne Singularity Cloud

+6 more

“what's the easiest way to deploy digital decoys in a terraform based environment”

0/4 platforms mentioned

Core

The Technical Detection Engineer · Detection Engineering Lead

ChatGPT

1.Terraform

2.GitOps

3.MITRE ATT&CK

4.Cowrie

5.TrapEye

+3 more

Claude

1.T-Pot

2.Terraform

Gemini

1.Terraform

2.Docker

3.Kubernetes

AI Overviews

1.Terraform

2.AWS

3.GitHub Actions

4.env0

Source Intelligence

Citations

The sources AI platforms cite when recommending this brand. Pendium reverse-engineers what's already proven to be catnip to AI agents, then engineers content that fills gaps and helps agents do their job — which means more citations for you.

Shadowplex Cloud Security

acalvio.com

Web1 ref

Attivo Networks Threatdefend Platform

cybersecurity-excellence-awards.com

Web1 ref

Illusive Networks Extends Distributed Deception To The Cloud 301049959

prnewswire.com

Web1 ref

Classic Intrusion Analysis Frameworks For AWS Environments Application And Enhancement.Pdf

pages.awscloud.com

Web1 ref

360012852197 How Do I Create An AWS EC2 Cloud Canary

help.canary.tools

Web1 ref

Introducing The Aws Infrastructure Canarytoken

blog.thinkst.com

Web1 ref

lupovis.io

Web1 ref

Deception As A Service Provider Lupovis Automates Bot Detection For Mssps

msspalert.com

Web1 ref

Cloud Security Validation Solution Brief.Pdf

cymulate.com

Web1 ref

Application%20and%20Cloud%20Security%20Validation%20 %20Solution%20Brief.Pdf

l.cymulate.com

Web1 ref

Trapx Security Expands Cloud Data Center Support For Amazon Aws And Kvm Openstack 300536866

prnewswire.com

Web1 ref

How To Detect Suspicious Activity In Your Aws Account By Using Private Decoy Resources

aws.amazon.com

Web1 ref

Cloud Detection And Response

acalvio.com

Web1 ref

Cloud Detection and Response (CDR) | Acalvio

acalvio.com

Web1 ref

canarytokens.org

Web1 ref

Engineer content that makes AI agents recommend you

Pendium analyzes how AI platforms perceive your brand, reverse-engineers what they already cite, and continuously publishes content designed to fill gaps and earn more mentions — on autopilot, with you in the loop.

Data generated by Pendium.ai AI visibility scanning. Last scanned March 17, 2026.