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

Salus

Visibility4

Vibe71

Businesses/Software/Salus

AI Visibility & Sentiment

Salus

Salus is a Y Combinator-backed AI safety company that provides runtime guardrails for AI agents. Their platform validates and blocks incorrect agent actions before they execute, providing immediate feedback for self-correction and protecting businesses from costly AI mistakes.

Active Monitoring

usesalus.ai

Software YC25-26

AI Visibility Score

4/100

Invisible

Sentiment Score

71/100

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

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Salus today.

Salus is currently ghosting the AI agent security conversation, holding a negligible 5/100 visibility score while competitors like LangChain and Guardrails AI dominate the narrative. Despite a rare high-ranking appearance in Claude for adversarial attacks, the brand is completely missing from production reliability and runtime guardrail queries that drive architect-level decision-making.

Value Proposition

Validate and block incorrect AI agent actions at runtime before they execute, with structured feedback that enables agents to self-correct and retry, protecting businesses from costly mistakes.

Overview

Mission

Protect businesses from costly AI agent mistakes by validating actions before they execute.

Products & Services

Runtime Guardrails for AI agentsSelf-Repair feedback systemReal-time agent monitoring and visibilityAdversarial evaluation testingPython SDK integration

Current State

Visibility Landscape

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

	ChatGPT	Claude	Gemini	AI Overviews
Reputation Brand recognition & direct queries	12	32	0	0
Core Topics Product/service category queries	0	0	38	0
Growth Areas Adjacent, aspirational & visionary	—	—	—	—

ChatGPT

Claude

Gemini

AI Overviews

Reputation

Brand recognition & direct queries

Core Topics

Product/service category queries

Growth Areas

Adjacent, aspirational & visionary

—

Competitive Landscape

LangChain

30 mentions

LangGraph

18 mentions

Pydantic

15 mentions

LangSmith

15 mentions

Guardrails AI

13 mentions

CrewAI

11 mentions

Loading visibility matrix...

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Secured a high-ranking position (#2) on Claude specifically for queries regarding protection against adversarial attacks and prompt injection.

Strength

Shows a relative strength with the Enterprise CISO persona, achieving a 30% mention rate compared to zero visibility with other technical personas.

Strength

Maintains positive sentiment across all LLM mentions, indicating that when the brand is known, it is viewed as a favorable security solution.

Recommended Actions

Publish a series of technical 'How-To' guides specifically for fixing AI agent database errors and production reliability.

This directly addresses the high-volume queries where Salus is currently invisible, allowing it to challenge LangChain's dominance in troubleshooting.

Implement structured data and FAQ schemas focused on 'AI Runtime Guardrails' and 'Adversarial Defense'.

With 0% visibility in AI Overviews, the brand needs technical SEO signals that LLMs use to generate summary responses.

Develop a dedicated 'Salus for CISOs' resource hub.

The data shows the Enterprise CISO is the only persona where Salus has a foothold; deepening this content will solidify its primary entry point into the enterprise.

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

Ensuring Production Reliability For AI Agents(3 queries)

“how do i stop my langchain agent from making weird database calls it shouldn't be doing?”

0/4 platforms mentioned

Core

ChatGPT

1.sqlparse

2.pglast

3.LangChain

4.SQLAlchemy

Claude

1.LangChain

2.Python

3.Pydantic

Gemini

1.LangChain

2.PostgreSQL

3.Supabase

4.Pydantic

5.sqlparse

+3 more

AI Overviews

1.LangChain

2.GitHub

3.SQLDatabaseToolkit

4.SQLDatabase

5.ModelCallLimitMiddleware

+2 more

“help me build a system where my ai agent can fix its own errors before the user sees them”

0/3 platforms mentioned

Adjacent

The Lead AI Architect · Lead AI Architect

Claude

1.LangGraph

2.Python

3.TypeScript

4.gpt-4-turbo

5.gpt-3.5

+2 more

Gemini

1.LangGraph

2.Pydantic

3.Claude 3.5 Sonnet

4.GPT-4o

5.Lakera

+8 more

AI Overviews

1.GPT-5

2.Claude 3.5

3.LangSmith

4.Langfuse

5.LangGraph

+3 more

“what tools can i use for real-time monitoring and visibility of autonomous agents in production?”

0/3 platforms mentioned

Core

Claude

1.LangSmith

2.LangChain

3.LangGraph

4.Langfuse

5.Jaeger

+4 more

Gemini

1.LangGraph

2.LangChain

3.OpenTelemetry

4.LangSmith

5.Helicone

+10 more

AI Overviews

1.Galileo AI

2.Maxim AI

3.Braintrust

4.LangSmith

5.LangChain

+11 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.

Limit Data and Enforcing Security for SQLDatabase & Agents

github.com

Code1 ref

Build a custom SQL agent - Docs by LangChain

docs.langchain.com

Web1 ref

My SQL langchain agent seems to be limiting its answers to ...

stackoverflow.com

Web1 ref

langchain-ai/sql-agent-system-prompt

smith.langchain.com

Web1 ref

'Talk' to Your SQL Database Using LangChain and Azure ...

towardsdatascience.com

Web1 ref

Using LangChain and Azure OpenAI to Talk’ to Your SQL Database

medium.com

Blog1 ref

Stop Endless Back-and-Forth — Add Model Call Limits in ...

youtube.com

Video1 ref

Building a Robust SQL Agent: The Art of Prompt Engineering

linkedin.com

Social1 ref

Stop LLM SQL Mistakes: 5 LangChain Tool Policies - Medium

medium.com

Blog1 ref

Security policy - Docs by LangChain

docs.langchain.com

Web1 ref

LangChain Middleware: Taking Control of Your Agent's ...

python.plainenglish.io

Web1 ref

Security - langchain-ai/deep-agents-ui - GitHub

github.com

Code1 ref

Prevent Hallucinated Responses from any AI Agent - Cleanlab

cleanlab.ai

Web1 ref

www.reco.ai

reco.ai

Web1 ref

A guide to safeguarding against indirect prompt injections - AWS

aws.amazon.com

Web1 ref

Competitive Landscape

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

LangChain30 mentions

LangGraph18 mentions

Pydantic15 mentions

LangSmith15 mentions

Guardrails AI13 mentions

CrewAI11 mentions

Lakera Guard8 mentions

sqlparse7 mentions

Arize Phoenix7 mentions

Datadog7 mentions

Salus3 mentions

Brand Identity

Brand Voice & Style

How AI perceives Salus's communication style and personality

Salus communicates with a technically sophisticated yet accessible voice that speaks directly to developers and engineering teams. The tone is confident and security-focused, emphasizing protection and reliability without being alarmist. They use clear, concise language with technical precision, demonstrating deep understanding of AI agent architecture while keeping messaging approachable. The brand conveys urgency around AI safety while maintaining a calm, professional demeanor that instills trust.

Core Tone Traits

Technically Precise

Uses accurate developer terminology and code examples to demonstrate credibility

Security-Focused

Emphasizes protection, validation, and preventing costly mistakes

Developer-Friendly

Speaks directly to engineers with practical, implementation-focused messaging

Confident & Trustworthy

Projects authority in AI safety without being alarmist or fear-mongering

Backing

Investors

Y Combinator

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.