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.

Businesses/Software/Katalon

AI Visibility & Sentiment

Katalon

Katalon provides an AI-driven platform for software quality that enables teams to plan, author, execute, and analyze tests across web, mobile, API, and desktop applications. It offers a unified solution to streamline the quality assurance lifecycle, helping organizations scale their automation efforts efficiently.

Active Monitoring

katalon.com

Software Prc

AI Visibility Score

69/100

Good

Sentiment Score

88/100

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 Katalon today.

AI agents consistently recognize Katalon as a definitive leader in unified quality management, yet this trust has not fully translated into discovery during buyer-intent searches for DevOps and cloud-based testing infrastructure. By bridging the gap between Katalon's established platform reputation and these high-intent infrastructure queries, the brand can dominate the conversation for teams looking to scale beyond basic automation.

Working in your favor

High brand authority in core product category queries, particularly in platform selection searches across Gemini and AI Overviews.

Consistently recognized by top-tier AI models as a leading, all-in-one automation and quality management platform.

Strong performance in queries targeting QA Automation Engineers, particularly in the London market where top-three positioning is frequent.

Gaps to close

Complete absence in AI responses for DevOps-integrated tooling and CI/CD pipeline infrastructure queries.

Lack of visibility in cloud-based testing and visual regression tracking, where competitors like BrowserStack are frequently surfaced.

Underperformance in enterprise-grade test management and orchestration queries despite being a strong contender in the broader market.

Opportunities

Capitalize on the 'better alternatives' narrative to directly challenge legacy players like Tricentis and SmartBear in AI-generated comparisons.

Develop specialized content mapping Katalon’s orchestration capabilities to specific CI/CD environments to capture the underserved DevOps persona.

Align product documentation and thought leadership with the specific pain points of 'cloud-based' testing alternatives to capture traffic currently flowing to competitors.

Highest-Impact Actions

Develop a 'Katalon vs. The Field' comparison series focused on CI/CD integration and cloud orchestration.

Data shows a critical gap in DevOps and CI/CD-related queries where competitors currently dominate; objective comparison content will help AI agents associate Katalon with these infrastructure requirements.

Publish an authoritative guide on 'Modernizing Visual Regression Testing' for enterprise teams.

Katalon is currently missing from visual regression queries; creating expert-led content on this topic will establish brand relevance in a niche where users are actively seeking new tools.

Create a 'Cloud-First QA' series detailing alternatives to browser-based testing farms.

Queries regarding BrowserStack alternatives show a clear demand for cloud-native testing solutions that Katalon is currently failing to address in AI result rankings.

Value Proposition

A unified, AI-powered 'True Platform' that eliminates the fragmentation of testing tools by providing a single environment for comprehensive cross-platform automation and quality analytics.

Overview

Mission

To provide a comprehensive AI platform for software quality that helps teams deliver exceptional digital experiences with speed and confidence.

Products & Services

Katalon StudioKatalon TestOpsKatalon TestCloudKatalon Runtime EngineVisual Testing

Current State

Visibility Landscape

A high-level view of how Katalon 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
Core6q Product/service category queries	68	78	76	84
Growth Areas3q Adjacent, aspirational & visionary	0	0	0	23

Competitive Landscape

Playwright56 mentions

Selenium41 mentions

Katalon39 mentions

mabl38 mentions

Cypress34 mentions

Jenkins31 mentions

BrowserStack28 mentions

Testsigma24 mentions

Appium23 mentions

GitHub Actions22 mentions

Sauce Labs20 mentions

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

High brand authority in core product category queries, particularly in platform selection searches across Gemini and AI Overviews.

Strength

Consistently recognized by top-tier AI models as a leading, all-in-one automation and quality management platform.

Strength

Strong performance in queries targeting QA Automation Engineers, particularly in the London market where top-three positioning is frequent.

Recommended Actions

Develop a 'Katalon vs. The Field' comparison series focused on CI/CD integration and cloud orchestration.

Publish an authoritative guide on 'Modernizing Visual Regression Testing' for enterprise teams.

Katalon is currently missing from visual regression queries; creating expert-led content on this topic will establish brand relevance in a niche where users are actively seeking new tools.

Create a 'Cloud-First QA' series detailing alternatives to browser-based testing farms.

Queries regarding BrowserStack alternatives show a clear demand for cloud-native testing solutions that Katalon is currently failing to address in AI result rankings.

Content Engineering

Content Ideas

Content designed to help AI agents learn about your category and recommend your brand.

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

Test Automation Platform Selection(3 queries)

“what are the best unified test automation platforms for web and mobile apps that offer AI support”

4/4 platforms mentioned

Core

ChatGPT

1.mabl

2.Katalon

3.Applitools Eyes

4.SmartBear TestComplete

5.OpenText UFT One

Claude

1.mabl

2.ACCELQ Unified

3.Katalon (Katalon Platform)

4.Testsigma

5.Sauce Labs

+2 more

Gemini

1.Katalon (StudioAssist, TrueTest)

2.mabl

3.testRigor

4.TestMu AI (KaneAI, HyperExecute)

5.LambdaTest

+4 more

AI Overviews

1.Katalon (Katalon Studio, StudioAssist, TrueTest)

2.Testsigma (Atto)

3.Mabl

4.Testsigma (Atto)

5.Mabl

+7 more

“compare the top test automation tools for 2026, looking for something that handles both API and UI testing in one place”

3/4 platforms mentioned

Core

QA Automation Engineer in London · Lead Automation Engineer

ChatGPT

1.Tricentis (Tosca)

2.Katalon

3.SmartBear (TestComplete)

4.Playwright

5.Cypress

Claude

1.Katalon (Katalon Studio, TestCloud)

2.Jira

3.Jenkins

4.GitLab CI

5.Karate DSL

+8 more

Gemini

1.Playwright

2.Robot Framework (SeleniumLibrary, Browser, RequestsLibrary)

3.Selenium

4.Pabot

5.Cypress (Cypress Cloud)

+2 more

AI Overviews

1.Postman

2.SoapUI

3.Playwright

4.Virtuoso QA

5.Mabl

+1 more

“what tools should i use for test orchestration and reporting if i want to scale my automation pipeline”

1/4 platforms mentioned

Core

QA Automation Engineer in London · Lead Automation Engineer

ChatGPT

1.Jenkins

2.GitHub Actions

3.GitLab CI

4.Azure DevOps Pipelines

5.Argo Workflows

+11 more

Claude

1.Testkube

2.Jenkins

3.GitHub Actions

4.Cypress

5.Postman

+4 more

Gemini

1.Playwright

2.Cypress

3.Aerokube (Moon)

4.Selenium

5.LambdaTest (HyperExecute)

+6 more

AI Overviews

1.Jenkins

2.GitHub Actions

3.LambdaTest (HyperExecute)

4.Allure TestOps

5.ReportPortal.io

+2 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.

mabl.com

Web1 ref

Ai Powered Testing Platform

katalon.com

Web1 ref

Mobile Testing

katalon.com

Web1 ref

Eyes

applitools.com

Web1 ref

Intelligent Quality

smartbear.com

Web1 ref

TestComplete

en.wikipedia.org

Wiki1 ref

Uft One

opentext.com

Web1 ref

12 BEST AI Test Automation Tools for 2026 The Third Wave

testguild.com

Web1 ref

10 Best AI Testing Tools & Platforms in 2026

virtuosoqa.com

Web1 ref

Unified Test Automation Platform for Web, Mobile, and APIs | mabl

mabl.com

Web1 ref

Best AI-Augmented Software Testing Tools Reviews 2026 | Gartner Peer Insights

gartner.com

Web1 ref

Best Test Automation Tools 2026: AI & Enterprise Compared

accelq.com

Web1 ref

The 12 Best AI Testing Tools in 2026 | QA Wolf

qawolf.com

Web1 ref

Best Mobile Testing Tools in 2026 (Top 15 Compared)

accelq.com

Web1 ref

Top AI-Powered Test Automation Tools in 2026 | Pcloudy

pcloudy.com

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 April 30, 2026.