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

Hexmos

Visibility25

Vibe86

Businesses/Software Development Tools/Hexmos

AI Visibility & Sentiment

Hexmos

Hexmos provides Git-native AI code review tools that act as a 'braking system' for AI-assisted development. By integrating directly into the commit process, Hexmos helps developers catch regressions, security vulnerabilities, and logic errors before code is pushed, ensuring accountability and auditability in the engineering workflow.

Active Monitoring

hexmos.com/livereview/git-lrc

Software Development Tools

AI Visibility Score

25/100

Low

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

visionary

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Hexmos today.

Hexmos currently exists in a state of 'brand awareness' rather than 'solution utility,' as it is identified by AI models only when explicitly queried by name, while remaining absent from the crucial decision-making conversations that drive new engineering tool adoption. While competitors like CodeRabbit and SonarQube dominate the AI-driven code quality landscape, Hexmos is missing the critical connective tissue between its features and the specific developer problems these models are being asked to solve.

Value Proposition

Hexmos offers unique Git-Native AI Guardrails that integrate into the developer's local CLI for pre-commit review, combined with a Bring Your Own Key (BYOK) model that grants users control over their AI providers and costs.

Overview

Mission

To empower engineering teams worldwide through cutting-edge AI-first developer tools, improving productivity, collaboration, and code quality.

Products & Services

LiveReviewgit-lrcLama2git-lrc (CLI tool)LiveReview (Team-level dashboard and analytics)

Current State

Visibility Landscape

A high-level view of how Hexmos 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	0	0	0	39
Core Topics Product/service category queries	0	0	0	0
Growth Areas Adjacent, aspirational & visionary	0	0	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

CodeRabbit

38 mentions

SonarQube

36 mentions

GitLab

27 mentions

Cursor

27 mentions

GitHub

26 mentions

ESLint

25 mentions

Loading visibility matrix...

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Successful established identity as a known entity in AI Overviews and major LLMs when directly queried by name.

Strength

Early signs of category alignment within AI Overviews for automated code quality and git workflow queries.

Gap

Complete lack of presence in comparative 'best-of' lists for developer productivity and technical debt reduction tools.

Recommended Actions

Develop 'Solution-to-Problem' content mapping for high-intent queries like 'AI tools for pull request bug catching'.

Hexmos is losing the search intent battle; creating content that directly answers these specific workflow questions is essential to trigger inclusion in AI-generated answers.

Optimize technical documentation and marketing pages to feature comparative benchmarking against category leaders like CodeRabbit and SonarQube.

AI models are currently prioritizing established competitors; providing structured, comparative data allows models to feature Hexmos as a viable alternative.

Produce 'scaling engineering team' case studies that explicitly mention 'velocity' and 'technical debt' as solved problems.

The current persona performance is weak; demonstrating value through the lens of a scaling CTO persona addresses the specific needs of the users most likely to purchase your tool.

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

Automating Code Quality And Pre Commit Review(3 queries)

“what are the best tools for catching bugs during pull request reviews”

0/4 platforms mentioned

Core

ChatGPT

1.GitHub (CodeQL, Dependabot)

2.SonarQube

3.SonarCloud

4.Semgrep

5.ESLint

+24 more

Claude

1.ESLint

2.SonarQube

3.Pylint

4.Checkstyle

5.GitHub

+9 more

Gemini

1.SonarQube

2.Checkmarx

3.Semgrep

4.Codacy

5.Pylint

+6 more

AI Overviews

1.CodeRabbit

2.Qodo Merge (Codium)

3.Greptile

4.Aikido Security

5.SonarQube

+3 more

“i need an ai tool that runs locally or in my git workflow to check code before i push”

1/4 platforms mentioned

Core

The Technical Lead Evaluator · Engineering Manager

ChatGPT

1.pre-commit

2.ESLint

3.ruff

4.mypy

5.golangci-lint

+8 more

Claude

1.Cursor (BugBot)

2.ai-code-review

3.Tabby

4.GitHub Copilot

5.CodeRabbit

+1 more

Gemini

1.Semgrep (Semgrep CLI)

2.R2C (semgrep Cloud)

3.GitHub Copilot

4.CodeScene

5.DeepSource

+1 more

AI Overviews

1.CodeRabbit CLI

2.LucidShark

3.Git-LRC

4.Git AI

5.Claude Code Hooks (GitButler)

+3 more

“which code review automation platforms should a startup team use to save time”

0/4 platforms mentioned

Core

The Technical Lead Evaluator · Engineering Manager

ChatGPT

1.CodeRabbit

2.CodiumAI

3.GitHub (GitHub Copilot, GitHub Advanced Security, Dependabot)

4.SonarQube (SonarCloud)

5.Semgrep (Semgrep Cloud)

+8 more

Claude

1.ESLint

2.Prettier

3.SonarQube

4.CodeRabbit

5.Greptile

+1 more

Gemini

1.Aikido Security

2.CodeRabbit

3.Greptile

4.DeepSource

5.Codacy

+3 more

AI Overviews

1.GitHub

2.GitLab

3.Bitbucket

4.CodeRabbit

5.Aikido Security

+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.

Code Quality Tools

greptile.com

Web1 ref

Code Review Tools

atlassian.com

Web1 ref

A Complete Guide To Code Reviews

swarmia.com

Web1 ref

Best Static Code Analysis Tools

comparitech.com

Web1 ref

Best Security Code Review Tools

legitsecurity.com

Web1 ref

Top 10 Code Analysis Tools

cycode.com

Web1 ref

Static Vs Dynamic Code Analysis

vfunction.com

Web1 ref

Code Review Tools

graphite.com

Web1 ref

Code Review Tools

pieces.app

Web1 ref

Best Pull Request Review Tools

getpanto.ai

Web1 ref

Open Source Static Code Analysis

snyk.io

Web1 ref

Best Practices To Transform Your Code Review Process

apiiro.com

Web1 ref

The 6 Best Ai Code Review Tools For Pull Requests In 2025 4n43

dev.to

Web1 ref

Dynamic Code Analysis Tools

clutch.co

Web1 ref

Dynamic Analysis

github.com

Code1 ref

Competitive Landscape

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

CodeRabbit38 mentions

SonarQube36 mentions

GitLab27 mentions

Cursor27 mentions

GitHub26 mentions

ESLint25 mentions

GitHub Copilot25 mentions

Codacy21 mentions

Qodo20 mentions

Tabnine19 mentions

Hexmos1 mention

Brand Identity

Brand Voice & Style

How AI perceives Hexmos's communication style and personality

Hexmos communicates with a direct, pragmatic, and highly technical tone that respects the developer's time and intelligence. The brand voice is authoritative yet helpful, positioning itself as a necessary 'braking system' for the fast-paced world of AI-assisted coding. It avoids marketing fluff, focusing instead on clear utility, Git-native workflows, and actionable security insights, making it feel like a tool built by developers for developers.

Core Tone Traits

Pragmatic & Direct

Focuses on immediate utility and solving specific developer pain points without unnecessary jargon.

Authoritative & Expert

Positions the brand as a knowledgeable guide on AI-assisted coding risks and best practices.

Developer-Centric

Uses terminology and workflows that resonate with engineers, prioritizing Git-level integration.

Transparent & Trustworthy

Openly discusses data usage, security, and the 'why' behind its free model, building confidence.

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 March 26, 2026.