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

Moda

Visibility0

Vibe50

Businesses/Software/Moda

AI Visibility & Sentiment

Moda

Moda is an AI agent monitoring platform that automatically detects behavioral failures in LLM applications that traditional logs miss. It catches issues like agent forgetfulness, tool misuse, and user frustration in real-time, helping teams identify and fix silent failures before users complain.

Active Monitoring

modaflows.com

Software YC25-26

AI Visibility Score

0/100

Invisible

Sentiment Score

50/100

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 Moda today.

Moda currently suffers from a total visibility blackout across the LLM observability landscape, ceding the entire conversation to established players like LangSmith and Datadog. This complete absence during critical troubleshooting queries regarding AI agent hallucinations and real-time alerting represents a significant missed opportunity to capture the market's most urgent pain points.

Working in your favor

The competitive landscape is clearly defined, with LangSmith and LangChain setting the benchmark for the LLM observability discourse that Moda must disrupt.

Gaps to close

Total lack of presence in high-intent troubleshooting searches such as 'my ai agent is hallucinating and getting stuck in loops.'

Zero recognition from critical technical personas, specifically the Speed-Obsessed Startup CTO and the Scaled AI Infrastructure Lead.

Complete failure of the 'brand vibe check,' indicating that AI models lack the training data to even define what Moda is or does.

Opportunities

Claim the 'Troubleshooting AI Agent Failures' niche by creating technical content that solves specific hallucination and loop issues.

Differentiate from generalists like Datadog and Sentry by focusing on GenAI-specific observability metrics.

Target the UX-Focused GenAI Product Manager by producing documentation on dashboarding for AI user retention.

Highest-Impact Actions

Publish a comprehensive technical guide on 'Debugging Agent Hallucination Loops' optimized for LLM ingestion.

This addresses the most frequent and high-pain query where Moda is currently invisible while competitors are gaining traction.

Execute a digital PR campaign to define the brand's core identity and use cases.

The brand vibe check failed completely; AI models need more high-authority mentions to associate Moda with LLM observability.

Develop and document a native Slack integration for AI failure alerts.

Query data shows Slack and Grafana are frequently mentioned in infrastructure setups, and Moda should be part of that ecosystem's recommendation engine.

Value Proposition

Catch AI agent behavioral failures that don't show up in stack traces or error logs—automatically detect when agents forget context, misuse tools, give lazy responses, or frustrate users, with no configuration needed.

Overview

Mission

Stop reading logs. Start seeing failures.

Products & Services

AI agent behavioral monitoringCustom signal detection for LLM failuresReal-time alerting via Slack, email, and webhooksConversation analytics dashboardPython and Node.js SDKs for OpenAI, Anthropic, and AWS Bedrock

Current State

Visibility Landscape

A high-level view of how Moda 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	70	70	70	70
“What do you know about Moda? What do they do and what's their reputation?”	Yes	Yes	Yes	Yes
Core4q Product/service category queries	0	0	0	0
“my ai agent is hallucinating and getting stuck in loops, how can i track when this happens in production?”	No	No	No	No
“best llm observability and monitoring tools for 2026, looking for something that catches behavioral issues specifically”	No	No	No	No
“setup real time slack alerts for when my openai agent fails a task or gives a lazy response”	No	No	No	No
“how to detect when a chatbot is frustrating users or misusing tools before they actually report it”	No	No	No	No
Growth Areas1q Adjacent, aspirational & visionary	0	0	0	0
“how to build a dashboard to track ai agent performance and user frustration metrics”	No	No	No	No

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

Yes

“my ai agent is hallucinating and getting stuck in loops, how can i track when this happens in production?”

“best llm observability and monitoring tools for 2026, looking for something that catches behavioral issues specifically”

“setup real time slack alerts for when my openai agent fails a task or gives a lazy response”

“how to detect when a chatbot is frustrating users or misusing tools before they actually report it”

“how to build a dashboard to track ai agent performance and user frustration metrics”

Competitive Landscape

LangSmith

28 mentions

LangChain

20 mentions

Datadog

14 mentions

Slack

14 mentions

Grafana

13 mentions

Arize AI

13 mentions

Sentry

12 mentions

OpenTelemetry

12 mentions

Prometheus

11 mentions

Helicone

11 mentions

Moda

0 mentions

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

The competitive landscape is clearly defined, with LangSmith and LangChain setting the benchmark for the LLM observability discourse that Moda must disrupt.

Gap

Total lack of presence in high-intent troubleshooting searches such as 'my ai agent is hallucinating and getting stuck in loops.'

Gap

Zero recognition from critical technical personas, specifically the Speed-Obsessed Startup CTO and the Scaled AI Infrastructure Lead.

Recommended Actions

Publish a comprehensive technical guide on 'Debugging Agent Hallucination Loops' optimized for LLM ingestion.

This addresses the most frequent and high-pain query where Moda is currently invisible while competitors are gaining traction.

Execute a digital PR campaign to define the brand's core identity and use cases.

The brand vibe check failed completely; AI models need more high-authority mentions to associate Moda with LLM observability.

Develop and document a native Slack integration for AI failure alerts.

Query data shows Slack and Grafana are frequently mentioned in infrastructure setups, and Moda should be part of that ecosystem's recommendation engine.

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

Troubleshooting AI Agent Failures(2 queries)

“my ai agent is hallucinating and getting stuck in loops, how can i track when this happens in production?”

0/4 platforms mentioned

Core

ChatGPT

1.S3

2.GS

3.BigQuery

4.ClickHouse

5.Snowflake

+24 more

Claude

1.Weights & Biases

2.LangSmith

3.LangChain

4.Arize

5.Prometheus

+1 more

Gemini

1.Datadog

2.LangSmith

3.LangChain

4.Arize Phoenix

5.Helicone

+10 more

AI Overviews

1.Maxim AI

2.ISHIR

3.LangGraph

4.CrewAI

“how to detect when a chatbot is frustrating users or misusing tools before they actually report it”

0/4 platforms mentioned

Core

The Scaled AI Infrastructure Lead · Director of AI Infrastructure

ChatGPT

1.Kafka

2.Prometheus

3.Alertmanager

4.Flink

5.ksqlDB

+20 more

Claude

1.OpenTelemetry

2.Datadog

3.Arize AI

4.Langsmith

5.Python

+4 more

Gemini

1.OpenTelemetry

2.ClickHouse

3.Snowflake

4.Pydantic

5.Llama-3-8B

+8 more

AI Overviews

1.MonkeyLearn

2.Google Natural Language API

3.Freshworks

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.

Top 5 Tools to Monitor and Detect Hallucinations in AI Agents

getmaxim.ai

Moda

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Investors

Engineer content that makes AI agents recommend you

Explore Software

Start gettingrecommended by AI.

Frequently asked questions

Moda

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

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.