Pendium
BeeSafe AI
BeeSafe AI
Visibility0
Vibe75
Businesses/Cybersecurity/BeeSafe AI
BeeSafe AI
AI Visibility & Sentiment

BeeSafe AI

BeeSafe AI is a fraud prevention platform that stops scams at the source by deploying AI-powered anti-scam agents that engage directly with fraudsters. The company provides cross-sector fraud intelligence to financial services, crypto platforms, telcos, and government agencies to intercept scammers before they reach customers.

Active Monitoring
beesafe.ai
CybersecurityYC25-26
AI Visibility Score
0/100

Invisible

Sentiment Score
75/100
AI Perception

Summary

BeeSafe AI is currently a ghost in the generative AI landscape, failing to surface for a single category-level query despite showing perfect recognition during direct brand checks. While legacy players like BioCatch and Feedzai are being recommended as the definitive authorities for fraud prevention, BeeSafe's total absence from high-stakes decision-making frameworks for FinServ and Crypto represents a critical strategic void that must be closed immediately.

Value Proposition

BeeSafe AI intercepts fraud at the source by engaging with scammers in real-time, identifying fraudulent accounts and infrastructure before victims are harmed, providing evidence-backed intelligence across the fragmented fraud ecosystem.

Overview

BeeSafe AI is a fraud prevention platform that stops scams at the source by deploying AI-powered anti-scam agents that engage directly with fraudsters. The company provides cross-sector fraud intelligence to financial services, crypto platforms, telcos, and government agencies to intercept scammers before they reach customers.

Mission

Stopping scams before they reach your customers by intercepting fraudsters at the source.

Products & Services
Anti-Scam AI AgentsReal-time Fraud Intelligence PlatformMule Account DetectionScammer Infrastructure IdentificationCross-sector Fraud Intelligence Sharing
Agent Breakdown

AI Platforms

How often do different AI platforms reference BeeSafe AI?

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Conversation Analysis

Topics

What conversations is BeeSafe AI included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend BeeSafe AI to, and when?

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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.

ChatGPTChatGPTClaudeClaudeGeminiGeminiAI OverviewsAI Overviews
Preventing Advanced Trust Based Scams(2 queries)

“how can a bank stop authorized push payment fraud in real-time”

0/4 platforms mentioned

ChatGPTChatGPT
1.LexisNexis ThreatMetrix
2.TransUnion iovation
3.BioCatch
4.BehavioSec
5.Featurespace

+11 more

ClaudeClaude
1.Feedzai
2.Kount
3.FICO Falcon
4.Finastra
5.SWIFT gpi

+4 more

GeminiGemini
1.BioCatch
2.BehavioSec
3.Feedzai
4.Featurespace
5.ARIC Risk Hub

+14 more

AI OverviewsAI Overviews
1.Alloy
2.Nacha
3.Outseer

“what are the best ways for crypto platforms to detect trust-based scams before the money leaves the wallet”

0/4 platforms mentioned

ChatGPTChatGPT
1.Chainalysis
2.Chainalysis KYT
3.Reactor
4.TRM Labs
5.Elliptic

+27 more

ClaudeClaude
1.Chainalysis
2.TRM Labs
3.BioCatch
4.Kraken
5.Coinbase
GeminiGemini
1.BioCatch
2.Scam Advisor
3.LexisNexis Risk Solutions
4.BehavioSec
5.TeamViewer

+11 more

AI OverviewsAI Overviews
1.ThreatFabric
2.Elliptic
3.BitGo
4.Chainalysis Alterya
5.TRM Labs

+2 more

Deploying Specialized Anti Fraud Technology(1 query)

“show me some vendors that use ai agents to talk to scammers and waste their time”

0/4 platforms mentioned

ChatGPTChatGPT
1.Robokiller
2.TelTech Systems
3.YouMail
4.Nomorobo
5.Hiya

+20 more

ClaudeClaude
1.Truecaller
2.Loom
3.YouMail
4.Scam Baiter AI
5.ScamShield

+2 more

GeminiGemini
1.Jolly Roger Telephone Co.
2.Robokiller
3.Teltech Systems
4.Apate
5.Macquarie University

+8 more

AI OverviewsAI Overviews
1.Jolly Roger Telephone Co.
2.dAIsy
3.Virgin Media O2
4.Scamnetic
5.KnowScam

+5 more

Fraud Prevention Trust & Reviews(1 query)

“most trusted fraud prevention platforms for high-risk financial services in 2026”

0/4 platforms mentioned

ChatGPTChatGPT
1.Socure
2.Ekata
3.Mastercard
4.Experian
5.Kount

+26 more

ClaudeClaude
1.Feedzai
2.Databricks
3.SAS Fraud Management
4.Forter
5.Kount

+8 more

GeminiGemini
1.LexisNexis Risk Solutions
2.ThreatMetrix
3.Feedzai
4.Sardine
5.SEON

+8 more

AI OverviewsAI Overviews
1.DataVisor
2.Feedzai
3.Featurespace
4.Visa
5.ARIC™ Risk Hub

+12 more

Cross Sector Intelligence Sharing(1 query)

“is there a platform that aggregates fraud data across telcos and finance to stop scammers earlier”

0/4 platforms mentioned

ChatGPTChatGPT
1.Truecaller
2.Hiya
3.First Orion
4.Pindrop
5.Telesign

+22 more

ClaudeClaude
1.Truecaller
2.Twilio Lookup
3.Twilio Verify
4.Twilio
5.Neustar MarketShare

+2 more

GeminiGemini
1.CIFAS
2.NCFTA
3.The Knoble
4.LexisNexis Risk Solutions
5.Digital Identity Network

+11 more

AI OverviewsAI Overviews
1.Scam Signal
2.FICO
3.JT
4.GSMA Open Gateway
5.Group-IB Cyber Fraud Intelligence Platform

+4 more

Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

Perfect brand recognition in direct 'vibe check' queries across ChatGPT, Claude, and Gemini, indicating that models have ingested the brand's basic existence.

Strength

Baseline sentiment is inherently positive when the brand is specifically identified, suggesting no negative training data or reputational risks exist in the current LLM landscape.

Gap

Complete absence from 'authorized push payment (APP) fraud' queries where competitors like BioCatch and Feedzai are currently establishing themselves as the industry standard.

Gap

Zero visibility within the Crypto Exchange Risk Lead persona, a missed opportunity given the high-intent nature of trust-based scam detection in decentralized finance.

Gap

Failure to appear in specialized technology searches for 'AI agents,' which should be a primary brand differentiator but is currently yielding no mentions.

Opportunity

Ownership of the 'AI agents for scammer interaction' niche, as this specific query category is currently wide open for an authoritative brand to dominate.

Opportunity

Bridge the gap into 'Cross-Sector Intelligence Sharing' for Telcos, a persona that currently shows zero brand affinity despite BeeSafe's relevant capabilities.

Technical Health

Site Health for AI Visibility

How well BeeSafe AI's website is optimized for AI agent discovery and comprehension.

86/100
14 passed 6 warnings
Audited 2/27/2026
Crawlability83

Can AI bots find your pages?

Technical96

SSL, mobile, doctype basics

On-Page SEO87

Titles, descriptions, headings

Content Quality60

Word count, depth, freshness

Schema Markup85

Structured data for AI comprehension

Social & OG100

Open Graph, Twitter cards

AI Readability60

How well AI can parse your content

Warnings

!

No robots.txt file found

Create a robots.txt file at your domain root. Optional but recommended.

!

2 render-blocking resource(s) detected

Consider deferring or async-loading non-critical scripts and stylesheets.

!

Title is too short (27 characters)

Expand the title to 50-60 characters with descriptive keywords.

!

Meta description is too short (37 characters)

Expand the description to 150-160 characters with a clear value proposition.

!

Content may be too short

Expand your content to at least 500 words with valuable information.

+ 1 more warnings

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Brand Identity

Brand Voice & Style

How AI perceives BeeSafe AI's communication style and personality

BeeSafe AI communicates with confident expertise rooted in deep technical and security knowledge, reflecting its PhD-founded team. The tone is professional and authoritative when discussing the serious $12B+ fraud problem, yet accessible enough to clearly explain complex scam tactics. There's a subtle cleverness in the brand—the bee metaphor suggests both the honeypot approach and the sting of catching fraudsters. The voice balances urgency about the fraud threat with reassurance that their solution works.

Core Tone Traits

Authoritative & Expert

Speaks with deep knowledge backed by PhD-level AI and security expertise

Solution-Oriented

Focuses on proactive intervention rather than dwelling on problems

Clear & Technical

Explains complex fraud concepts in accessible yet precise language

Confident & Trustworthy

Projects reliability essential for enterprise security buyers

Competitive Landscape

Related Ecosystem

Related products and services that AI mentions in conversations alongside or instead of BeeSafe AI

1BioCatch19 mentions
2Feedzai19 mentions
3LexisNexis Risk Solutions16 mentions
4Sardine13 mentions
5Featurespace11 mentions
6ThreatMetrix11 mentions
7Unit2111 mentions
8NICE Actimize10 mentions
9Chainalysis10 mentions
10TRM Labs10 mentions
11BeeSafe AI0 mentions
Source Intelligence

Citations

Sources that AI assistants cite. Getting featured here improves visibility.

Alloy

http://www.alloy.com/

Referenced in 2 queries

Review
How to Stop Real-Time Payment Fraud - Alloy

https://www.alloy.com/blog/stop-real-time-payment-fraud

Referenced in 1 query

Review
2026 Nacha Rule Change: Proactive Fraud Monitoring of ACH ...

https://www.outseer.com/blog/2026-nacha-rule-change-proactive-fraud-monitoring-requirement

Referenced in 1 query

Review
Top 10 Fraud Platforms for 2026: Plus, Evaluation Criteria, ...

https://www.datavisor.com/blog/top-10-fraud-platforms-plus-evaluation-criteria-challenges-and-trends

Referenced in 2 queries

Review
Payment Security in 2026: When AI Fights Back Against Fraud

https://www.linkedin.com/pulse/payment-security-2026-when-ai-fights-back-against-fraud-elcoin-rqo8e

Referenced in 1 query

Pitch Story
Preventing Authorized Push Payment Fraud - Experian Insights

https://www.experian.com/blogs/insights/authorized-push-payment-fraud/

Referenced in 1 query

Review
Authorized Push Payment (APP) Fraud: A Global Threat

https://www.group-ib.com/resources/knowledge-hub/authorized-push-payment-app-fraud/

Referenced in 1 query

Review
The newest bank email scams coming in 2026, and how IT ...

https://integrisit.com/blog/the-newest-bank-email-scams-coming-in-2026-and-how-it-leaders-can-defend-against-them/

Referenced in 1 query

Review
Behavioral Biometrics: Transforming Fraud Prevention & UX

https://risk.lexisnexis.com/global/en/insights-resources/article/behavioral-biometrics-better-user-experience-meets-superior-fraud-prevention

Referenced in 1 query

Review
Fintech Innovations To Watch In 2026 | Old National Bank

https://www.oldnational.com/resources/insights/fintech-innovations-to-watch-in-2026/

Referenced in 1 query

Review
New Nacha fraud rules to take effect in 2026 | American Banker

https://www.americanbanker.com/news/new-nacha-fraud-rules-to-take-effect-in-2026

Referenced in 1 query

Review
2026 NACHA Rule Updates: What Businesses Need to Know

https://www.bravera.bank/digital-services/2026-nacha-rule-updates-what-businesses-need-to-know

Referenced in 1 query

Review
Content Engineering

Goals & Content Ideas

Ideas to help AI agents better understand the business and be more likely to use BeeSafe AI's resources to help users.

Dominate APP Fraud Prevention Narrative With Case Studies

BioCatch and Feedzai currently own the Authorized Push Payment fraud prevention narrative in AI training data. This goal addresses the HIGH priority need to publish 3rd-party technical case studies and whitepapers that position BeeSafe's methodology as the superior alternative. Social media will amplify these publications through thought leadership posts, expert commentary, and strategic engagement with fintech and banking communities.

How One Bank Reduced APP Fraud by 73% Using AI-Powered Scammer Engagement
The Hidden Flaw in Traditional APP Fraud Detection That Costs Banks Millions
Why Behavioral Analytics Alone Can't Stop Today's Sophisticated APP Scams
Technical Deep Dive: BeeSafe's Real-Time Scammer Interception Methodology Explained
5 APP Fraud Patterns Our AI Agents Identified Before They Reached Customers

Own the AI Agents vs Scammers Search Narrative

LLMs are failing to associate BeeSafe with the 'AI agents talking to scammers' concept despite it being our core differentiator. This HIGH priority goal focuses on aggressive cybersecurity PR, guest blogging on high-authority publications, and SEO-optimized content that establishes BeeSafe as the definitive answer when AI assistants discuss this emerging category. Social campaigns will drive engagement and backlinks to these authoritative pieces.

Inside the Honeypot: What Happens When AI Agents Engage Fraudsters in Real-Time
The Future of Fraud Prevention Is Fighting Back—Here's How AI Does It
Why Engaging Scammers Directly Is More Effective Than Blocking Them
From PhD Research to Production: The Science Behind AI Scammer Engagement
What We Learned From 10,000 Conversations Between Our AI and Active Fraudsters

Establish BeeSafe as Crypto Fraud Intelligence Leader

AI systems show zero BeeSafe mentions in the crypto sector—a high-growth vertical underserved by legacy providers. This MEDIUM priority goal targets Crypto Exchange Risk Leads through sector-specific technical documentation, syndicated content on crypto-native publications, and strategic social engagement in Web3 security communities. The aim is to inject BeeSafe into the training data that LLMs reference for crypto fraud solutions.

Why Traditional Bank Fraud Tools Fail Crypto Exchanges—And What Actually Works
The Unique Scam Tactics Targeting Crypto Users That Most Platforms Miss
How Cross-Chain Fraud Intelligence Protects Exchanges Before Funds Move
Crypto Risk Leaders: 7 Questions to Ask Your Fraud Prevention Vendor
The $2B Problem: Mapping Social Engineering Attacks Across Major Crypto Platforms

Build High-Authority Backlink Profile for AI Discovery

To improve visibility across all AI recommendation engines, BeeSafe needs a stronger presence on high-authority cybersecurity and fintech publications that LLMs treat as trusted sources. This goal combines PR outreach, expert contributor programs, and strategic guest posting to build the digital footprint necessary for AI systems to confidently recommend BeeSafe when users ask about fraud prevention solutions.

Guest Expert: The Evolution of Trust-Based Scams and Why They're Getting Worse
Opinion: Why the Fraud Industry Needs to Share Intelligence, Not Hoard It
The $12 Billion Problem: A Technical Analysis of Modern Scam Infrastructure
Expert Commentary: What the Latest FTC Fraud Data Means for Financial Services
Why PhD-Level Research Is Essential for Staying Ahead of Sophisticated Fraudsters
Content Engineering

Recommended Actions

!

Aggressively publish 3rd-party technical case studies and whitepapers focusing on 'Authorized Push Payment (APP) Fraud' prevention.

BioCatch and Feedzai currently own the narrative for this specific pain point; BeeSafe needs to inject its methodology into the training data to be considered a viable alternative.

Impact: High
!

Optimize digital footprint for the 'AI agents talking to scammers' query through high-authority cybersecurity PR and guest blogging.

This is a core product differentiator that LLMs are failing to associate with BeeSafe during general category discovery.

Impact: High
~

Develop and syndicate sector-specific technical documentation targeting the 'Crypto Exchange Risk Lead' persona.

The data shows a total lack of mentions in the crypto sector, which is a high-growth area currently underserved by legacy cybersecurity providers.

Impact: Medium

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Data generated by Pendium.ai AI visibility scanning. Last scanned February 27, 2026.

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