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

Katanemo Labs

Visibility5

Vibe86

Businesses/Artificial Intelligence/Katanemo Labs

AI Visibility & Sentiment

Katanemo Labs

Katanemo Labs provides forward-deployed AI infrastructure engineers who help enterprises accelerate the development and deployment of AI agents. They combine industry-leading research with open-source technologies to deliver production-ready AI agent solutions for major companies.

Active Monitoring

katanemo.com

Artificial Intelligence Startups

AI Visibility Score

5/100

Invisible

Sentiment Score

86/100

Score by Reach

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 Katanemo Labs today.

Katanemo Labs is currently a ghost in the production-grade AI infrastructure conversation, ceding nearly the entire market narrative to established ecosystem players like LangChain and LlamaIndex. While technical founders show a glimmer of awareness, the brand is completely missing from the critical enterprise architect decision-making path where reliability and deployment strategies are defined.

Value Proposition

Accelerate AI agent development with forward-deployed infrastructure engineers who bring industry-leading research and open-source technologies directly to your team.

Overview

Mission

Bringing industry-leading research and open-source technologies to accelerate the development of AI agents.

Products & Services

Forward-deployed AI infrastructure engineering servicesPlano - Open Source Agent InfrastructureAI agent development consultingModels research and implementationProduction AI deployment support

Current State

Visibility Landscape

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

	ChatGPT	Claude	Gemini
Reputation Brand recognition & direct queries	0	8	8
Core Topics Product/service category queries	0	18	0
Growth Areas Adjacent, aspirational & visionary	—	0	0

ChatGPT

Claude

Gemini

AI Overviews

Reputation

Brand recognition & direct queries

Core Topics

Product/service category queries

Growth Areas

Adjacent, aspirational & visionary

—

Competitive Landscape

LangChain

29 mentions

LlamaIndex

16 mentions

Kubernetes

15 mentions

LangSmith

14 mentions

Haystack

12 mentions

Prometheus

11 mentions

Loading visibility matrix...

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Maintains a 100% success rate on direct brand inquiries across all platforms, indicating a well-defined identity that LLMs can recall when prompted specifically.

Strength

Achieved a 33% mention rate with the Technical Co-Founder persona, suggesting early traction and recognition within the startup ecosystem.

Strength

Shows higher organic receptivity on Claude (13%) compared to other models, likely due to the platform's preference for detailed technical documentation.

Recommended Actions

Execute a technical content blitz focused on 'production-ready agent infrastructure' to disrupt the LangChain/LlamaIndex narrative dominance.

Competitors currently own the infrastructure conversation, but data shows users are searching for alternatives to buggy prototypes—a gap Katanemo is perfectly positioned to fill.

Optimize core technical documentation and whitepapers for indexing by OpenAI's GPT models to move from 0% to a double-digit mention rate.

Zero visibility on ChatGPT, the world's most-used AI platform, represents a critical barrier to mainstream market awareness and enterprise adoption.

Develop specific 'Enterprise Reliability' guides targeting the AI Platform Architect persona to bridge the gap in corporate procurement.

Katanemo is currently invisible to the very architects responsible for signing off on production-scale AI deployments, preventing the brand from entering formal vendor evaluations.

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

Scaling AI Agents To Production(2 queries)

“our ai agent prototype is too buggy for customers, what steps do we need to take to make it production-ready”

0/4 platforms mentioned

Core

ChatGPT

1.Sentry

2.Datadog

3.AWS CloudWatch

4.Kong

5.Envoy

+74 more

Claude

1.AWS

2.GCP

3.Azure

4.Modal

5.RunwayML

+2 more

Gemini

1.DVC

2.LIME

3.SHAP

4.Jenkins

5.GitLab CI

+8 more

AI Overviews

1.Galileo AI

2.Maxim AI

3.Google Cloud

4.Arize Phoenix

5.Beam AI

+2 more

“help me figure out a production deployment strategy for a fleet of ai agents in a large enterprise”

0/3 platforms mentioned

Core

The Enterprise AI Platform Architect · Head of AI Infrastructure

Claude

1.Kubernetes

2.EKS

3.AKS

4.Istio

5.Redis Cluster

+13 more

Gemini

1.Docker

2.Kubernetes

3.kubeadm

4.Azure Kubernetes Service

5.AKS

+48 more

AI Overviews

1.Inbenta

2.Clarifai

3.Grid Dynamics

4.Datagrid

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.

How to Build AI Agents That Actually Think : r/AI_Agents - Reddit

reddit.com

Forum1 ref

Why AI Agents Fail in Production: Six Architecture ... - Softcery

softcery.com

Web1 ref

10 Essential Steps for Evaluating the Reliability of AI Agents

getmaxim.ai

Web1 ref

6 Principles for Building Production-Ready AI Agents - Beam AI

beam.ai

Web1 ref

A dev's guide to production-ready AI agents | Google Cloud Blog

cloud.google.com

Web1 ref

AI Agent Reliability: The Playbook for Production-Ready ...

getmaxim.ai

Web1 ref

How to Debug AI Agents: 10 Failure Modes + Fixes | Galileo

galileo.ai

Web1 ref

How to Build Reliable AI Agents (without the hype)

youtube.com

Video1 ref

8 AI Agent Metrics That Go Beyond Accuracy | Galileo

galileo.ai

Web1 ref

How to build reliable AI Agents?

youtube.com

Video1 ref

Looking for production-ready AI agents? Here’s where to start.

cloud.google.com

Web1 ref

Evaluating AI agents: Real-world lessons from building agentic systems at Amazon | Artificial Intelligence

aws.amazon.com

Web1 ref

What’s been the toughest part of taking AI agents from prototype to ...

reddit.com

Forum1 ref

How to Ensure AI Agents Remain Reliable in Production Environments

medium.com

Blog1 ref

Building Production-Ready AI Agents - LinkedIn

linkedin.com

Social1 ref

Competitive Landscape

Brands and products that AI platforms mention alongside or instead of Katanemo Labs.

LangChain29 mentions

LlamaIndex16 mentions

Kubernetes15 mentions

LangSmith14 mentions

Haystack12 mentions

Prometheus11 mentions

Docker11 mentions

Weaviate11 mentions

CrewAI11 mentions

LangGraph11 mentions

Katanemo Labs3 mentions

Brand Identity

Brand Voice & Style

How AI perceives Katanemo Labs's communication style and personality

Katanemo Labs communicates with a technically sophisticated yet accessible voice that balances deep AI expertise with practical, results-oriented messaging. The brand projects confidence and authority in the AI infrastructure space while maintaining approachability through clear, jargon-free explanations. Their tone emphasizes reliability, speed, and the tangible business value of their forward-deployed engineering model, appealing to enterprise decision-makers who need both technical depth and business outcomes.

Core Tone Traits

Technically Authoritative

Demonstrates deep expertise in AI infrastructure and agent development without being condescending

Results-Oriented

Focuses on practical outcomes like speed, reliability, and production readiness

Confidently Understated

Projects expertise through substance rather than hype, letting client logos and capabilities speak

Enterprise-Ready

Professional and trustworthy tone that resonates with Fortune 500 decision-makers

Backing

Investors

Floodgate

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 February 27, 2026.