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.

Roadmap Pricing

Get a demo

Hexmos

Visibility10

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

10/100

Invisible

Sentiment Score

86/100

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

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.

Working in your favor

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

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

Gaps to close

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

Failure to capture the 'Technical Lead' and 'Scaling Startup CTO' personas during their active evaluation phases for code review automation.

Absence from the AI-driven research journey where teams compare features for pull request bug catching.

Opportunities

Dominate niche 'local-first' or 'specific git-workflow' sub-categories to create a foothold against larger competitors.

Optimize content to align with the specific intent of 'technical debt reduction' and 'velocity improvement' queries where current competitors are over-indexing.

Leverage the brand's positive sentiment in direct mentions to fuel trust-based content that search-based LLMs prioritize.

Highest-Impact 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.

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 priority level — from core brand queries to growth opportunities.

	ChatGPT	Claude	Gemini	AI Overviews
Reputation1q Sentiment when asked about the brand directly	50	100	100	100
“What do you know about Hexmos? What do they do and what's their reputation?”	Neutral	Positive	Positive	Positive
Core4q Product/service category queries	0	0	0	39
“what are the best tools for catching bugs during pull request reviews”	No	No	No	No
“what are the best reviewed ai developer productivity platforms for teams in 2026”	No	No	No	No
“i need an ai tool that runs locally or in my git workflow to check code before i push”	No	No	No	#3
“which code review automation platforms should a startup team use to save time”	No	No	No	No
Growth Areas5q Adjacent, aspirational & visionary	0	0	0	0
“top tools to help engineering teams reduce technical debt and improve code quality”	No	No	No	No
“can you compare ai-driven git automation tools for enterprise engineering teams”	No	No	No	No
“what should i look for when choosing an ai-first tool for code maintenance and quality”	No	No	No	No
“what are the best ai assistants for individual developers who want to write cleaner code”	No	No	No	No
“how do i improve the velocity and output quality of my distributed engineering team”	No	No	No	No

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

Neutral

Positive

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

“what are the best reviewed ai developer productivity platforms for teams in 2026”

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

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

“top tools to help engineering teams reduce technical debt and improve code quality”

“can you compare ai-driven git automation tools for enterprise engineering teams”

“what should i look for when choosing an ai-first tool for code maintenance and quality”

“what are the best ai assistants for individual developers who want to write cleaner code”

“how do i improve the velocity and output quality of my distributed engineering team”

Competitive Landscape

CodeRabbit

38 mentions

SonarQube

36 mentions

GitLab

27 mentions

Cursor

27 mentions

GitHub

26 mentions

ESLint

25 mentions

GitHub Copilot

25 mentions

Codacy

21 mentions

Qodo

20 mentions

Tabnine

19 mentions

Hexmos

1 mention

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

Hexmos

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Engineer content that makes AI agents recommend you

Explore Software Development Tools

Start gettingrecommended by AI.

Frequently asked questions

Hexmos

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Engineer content that makes AI agents recommend you

Explore Software Development Tools

Start gettingrecommended by AI.

Frequently asked questions

Start getting
recommended by AI.

Start getting
recommended by AI.