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

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MouseCat

Visibility0

Vibe63

Businesses/Software/MouseCat

AI Visibility & Sentiment

MouseCat

MouseCat is an AI-powered fraud investigation and risk management platform that automates research, generates production-ready rules, and builds better fraud models. The platform closes the loop from investigation to actionable decisions, helping enterprise risk teams scale their operations while reducing manual review.

Active Monitoring

mousecat.ai

Software YC25-26

AI Visibility Score

0/100

Invisible

Sentiment Score

63/100

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

aspirational

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe MouseCat today.

MouseCat is currently invisible in the AI-driven consideration phase for enterprise fraud and risk operations, despite holding strong brand recognition in direct inquiries. While the company is known when explicitly queried by name, it fails to capture the intent of decision-makers searching for scaling solutions and automated KYB verification, allowing competitors like Socure and Feedzai to dominate the narrative.

Working in your favor

Brand recognition is firmly established, with consistent top-tier visibility in direct 'vibe check' inquiries across all major platforms including ChatGPT, Claude, and Gemini.

Gaps to close

Total absence in high-intent queries regarding scaling fraud operations, KYB automation, and enterprise fraud platform comparisons.

Failure to reach critical buyer personas, including Strategic Heads of Risk Ops and ML/AI Security Architects, during the research phase.

Lack of competitive presence in the broader fraud detection category where industry leaders like Socure and Feedzai are consistently recommended.

Opportunities

Repurpose technical documentation and case studies into content optimized for AI query logic to capture 'how-to' research on scaling risk operations.

Establish a 'category-authority' content pillar that explicitly addresses the specific pain points of fraud investigators and AI security architects.

Implement a structured data strategy to better align with the comparison queries that current competitors dominate.

Highest-Impact Actions

Develop and publish 'AI-optimized' technical content answering specific 'how-to' fraud and KYB scaling queries.

The data shows competitors are winning through content that provides direct answers to complex operational workflows; MouseCat must occupy this space to be surfaced in search results.

Create persona-focused white papers targeted specifically at the 'Strategic Head of Risk Ops' and 'ML/AI Security Architect'.

Currently, these personas are not encountering the brand during their research; targeted content will establish relevance and build trust at the decision-making level.

Implement a semantic SEO strategy centered on the top-performing competitor keywords identified in the analysis.

Competitors like Socure and DataVisor are currently capturing the entirety of the organic AI conversation; MouseCat needs to bridge this gap to gain mindshare in the enterprise space.

Value Proposition

Unlike other AI tools that stop at investigations, MouseCat closes the loop from investigation to production rules, models, and decisions—providing end-to-end automation with explainable, backtested outputs.

Overview

Mission

Transform fraud investigations by turning AI-powered research into features, rules, and better decisions.

Products & Services

KYB Fraud InvestigationsAutomated Rule DevelopmentATO and Payments Fraud ModelingEnterprise-grade fraud detection platformData warehouse integration (Databricks, Snowflake)

Current State

Visibility Landscape

A high-level view of how MouseCat 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
“What do you know about MouseCat? What do they do and what's their reputation?”	#1	#1	#1	#1
Core4q Product/service category queries	0	0	0	0
“recommend some fraud detection platforms that work directly with my data in Snowflake”	No	No	No	No
“compare the top enterprise fraud platforms for 2026, which ones are the most reliable?”	No	No	No	No
“best way to automate KYB verification research to save our risk team time”	No	No	No	No
“what tools can help automate fraud investigations and close the loop on decisions”	No	No	No	No
Growth Areas2q Adjacent, aspirational & visionary	0	0	0	0
“how to scale enterprise risk ops without just hiring more manual reviewers”	No	No	No	No
“how to turn manual fraud investigation notes into actual production rules”	No	No	No	No

“What do you know about MouseCat? What do they do and what's their reputation?”

“recommend some fraud detection platforms that work directly with my data in Snowflake”

“compare the top enterprise fraud platforms for 2026, which ones are the most reliable?”

“best way to automate KYB verification research to save our risk team time”

“what tools can help automate fraud investigations and close the loop on decisions”

“how to scale enterprise risk ops without just hiring more manual reviewers”

“how to turn manual fraud investigation notes into actual production rules”

Competitive Landscape

Socure

17 mentions

Feedzai

13 mentions

Unit21

12 mentions

Sardine

12 mentions

Alloy

12 mentions

SEON

11 mentions

Middesk

10 mentions

DataVisor

8 mentions

Drools

7 mentions

Sift

7 mentions

MouseCat

0 mentions

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Brand recognition is firmly established, with consistent top-tier visibility in direct 'vibe check' inquiries across all major platforms including ChatGPT, Claude, and Gemini.

Gap

Total absence in high-intent queries regarding scaling fraud operations, KYB automation, and enterprise fraud platform comparisons.

Gap

Failure to reach critical buyer personas, including Strategic Heads of Risk Ops and ML/AI Security Architects, during the research phase.

Recommended Actions

Develop and publish 'AI-optimized' technical content answering specific 'how-to' fraud and KYB scaling queries.

The data shows competitors are winning through content that provides direct answers to complex operational workflows; MouseCat must occupy this space to be surfaced in search results.

Create persona-focused white papers targeted specifically at the 'Strategic Head of Risk Ops' and 'ML/AI Security Architect'.

Currently, these personas are not encountering the brand during their research; targeted content will establish relevance and build trust at the decision-making level.

Implement a semantic SEO strategy centered on the top-performing competitor keywords identified in the analysis.

Competitors like Socure and DataVisor are currently capturing the entirety of the organic AI conversation; MouseCat needs to bridge this gap to gain mindshare in the enterprise space.

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

Scaling Fraud & KYB Operations(3 queries)

“how to scale enterprise risk ops without just hiring more manual reviewers”

0/4 platforms mentioned

Adjacent

ChatGPT

1.ServiceNow

2.Jira Work Management

3.Workiva

4.MetricStream

5.Diligent One

+5 more

Claude

1.MetricStream

2.AuditBoard

Gemini

1.MetricStream ERM

2.LogicManager

3.Ncontracts

4.Censinet AI

5.Pirani Risk Management Software

+2 more

AI Overviews

1.Hyperproof

2.Censinet

“best way to automate KYB verification research to save our risk team time”

0/4 platforms mentioned

Core

The Strategic Head of Risk Ops · Head of Global Risk Operations

ChatGPT

1.Sardine

2.MuleSoft (Anypoint)

3.Informatica

4.Camunda

5.IBM Business Automation Workflow

+4 more

Claude

1.Dotfile

2.Sardine

3.Socure

4.LexisNexis

5.AiPrise

+4 more

Gemini

1.Sardine

2.Socure

3.Refinitiv World-Check

4.Dow Jones Risk & Compliance

5.ComplyAdvantage

+4 more

AI Overviews

1.Strise

2.Middesk

3.Alloy

“what tools can help automate fraud investigations and close the loop on decisions”

0/4 platforms mentioned

Core

The Strategic Head of Risk Ops · Head of Global Risk Operations

ChatGPT

1.NICE Actimize

2.Sift

3.Drools

4.H2O.ai

5.DataRobot

+21 more

Claude

1.DataVisor

2.Sardine

3.SAS (SAS Fraud Decisioning)

4.Provenir

5.Unit21

+5 more

Gemini

1.fcase

2.LexisNexis RiskNarrative

3.ACI Worldwide

4.Ping Identity

5.FraudNet

+11 more

AI Overviews

1.DataVisor

2.Alloy

3.Fraud.net

4.Lucinity (Luci Copilot)

5.CROSStrax

+5 more

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.

Enterprise Automation for Retail: Scaling Operations Without Scaling Headcount

blog.duvo.ai

MouseCat

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Sample Conversations

Citations

Brand Voice & Style

Investors

Engineer content that makes AI agents recommend you

Explore Software

Start gettingrecommended by AI.

Frequently asked questions

MouseCat

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Sample Conversations

Citations

Brand Voice & Style

Investors

Engineer content that makes AI agents recommend you

Explore Software

Start gettingrecommended by AI.

Frequently asked questions

Start getting
recommended by AI.

Start getting
recommended by AI.