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.

Businesses/Software/Maestro AI

AI Visibility & Sentiment

Maestro AI

Maestro AI is an engineering intelligence platform that uses AI to read, understand, and measure what engineering teams actually accomplish. Unlike traditional tools that track vanity metrics like commit counts and story points, Maestro analyzes code, tickets, and reviews to provide meaningful impact metrics and AI-generated narratives for engineering leaders.

Active Monitoring

getmaestro.ai

Software Startups

AI Visibility Score

5/100

Invisible

Sentiment Score

70/100

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 Maestro AI today.

Maestro AI is currently a ghost in the machine, surfacing in only 6% of ChatGPT queries while industry titans like LinearB and Jellyfish dominate the conversational landscape with over 50% share of voice. While the brand successfully triggers #1 rankings during direct brand searches on Claude and AI Overviews, it is functionally invisible to the broader market of CTOs and VPs seeking engineering intelligence solutions.

Value Proposition

The first engineering intelligence platform that reads, understands, and measures what actually matters—moving beyond vanity metrics to provide true impact measurement and AI-powered narratives that help engineering leaders make confident, data-driven decisions.

Overview

Mission

Great leaders need context, not just metrics. AI should augment human judgment, not replace it. What you measure shapes your culture.

Products & Services

Code Impact and Review Impact scoringAI-generated narratives and executive briefingsTeam and individual performance dashboardsAI coding tool ROI measurementIntegration with GitHub, GitLab, Jira, Linear, and Slack

Current State

Visibility Landscape

A high-level view of how Maestro AI 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	0	0	0
Core Topics Product/service category queries	0	0	0	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

LinearB

54 mentions

Jira

42 mentions

GitHub

34 mentions

Jellyfish

34 mentions

Pluralsight Flow

21 mentions

Waydev

19 mentions

Loading visibility matrix...

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Secures #1 ranking in direct brand-specific queries on Claude and AI Overviews, indicating a clear existing profile for the brand itself.

Strength

Successfully captures a mention in ChatGPT for technical queries regarding GitHub and Jira data analysis, positioning the tool as a specific technical utility.

Gap

Total absence across Claude, Gemini, and AI Overviews for all generic category and discovery-based queries.

Recommended Actions

Execute a category-conquesting content strategy for 'Engineering Intelligence' and 'Developer Productivity'.

Incumbents like LinearB and Jira are currently capturing over 40% of the visibility; Maestro must be cited as a modern alternative to be included in the LLM-generated consideration sets.

Develop and publish thought leadership specifically targeting the ROI of GitHub Copilot and AI tools.

Decision-makers are actively asking AI models how to justify these costs, and Maestro's current 0% visibility in this query is a massive missed opportunity for high-intent lead generation.

Optimize technical documentation for LLM ingestion to improve position from #9 in ChatGPT to the top 3.

While Maestro is mentioned for GitHub/Jira analysis, its low rank (9.0) makes it a footnote rather than a recommendation.

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

Measuring Developer Productivity And Impact(3 queries)

“how can i measure engineering productivity without using vanity metrics like lines of code or story points, what specific tools should i use”

0/4 platforms mentioned

Adjacent

ChatGPT

1.GitHub

2.GitLab

3.LinearB

4.Waydev

5.Pluralsight Flow

+45 more

Claude

1.Dora Metrics

2.Four Keys

3.Google Cloud

4.LaunchDarkly

5.PagerDuty

+15 more

Gemini

1.DORA Metrics

2.SPACE Framework

3.GitHub

4.GitLab

5.Jira

+13 more

AI Overviews

1.ZenHub

2.DX Core 4

3.LinearB

4.DX

5.Jellyfish

+3 more

“best way to track code impact and review quality across a 50 person dev team”

0/4 platforms mentioned

Core

The Visionary Startup CTO · Chief Technology Officer

ChatGPT

1.LinearB

2.Jellyfish

3.Pluralsight Flow

4.CodeScene

5.SonarQube

+18 more

Claude

1.CodeClimate

2.SonarQube

3.LinearB

4.Jellyfish

Gemini

1.Jellyfish

2.LinearB

3.Swarmia

4.DX

5.Jira

+1 more

AI Overviews

1.Axify

2.GitHub

3.GitLab

4.Bitbucket

5.LinearB

+6 more

“find me platforms that analyze github and jira data to show which devs are having the most impact on the codebase”

0/4 platforms mentioned

Core

The Visionary Startup CTO · Chief Technology Officer

ChatGPT

1.GitHub

2.Jira

3.Jellyfish

4.LinearB

5.Pluralsight Flow

+9 more

Claude

1.LinearB

2.Jellyfish

3.Hatica

4.Datadog

Gemini

1.GitHub

2.Jira

3.Jellyfish

4.DX

5.Swarmia

+3 more

AI Overviews

1.LinearB

2.Project Delivery Tracker

3.DORA

4.Waydev

5.Jellyfish

+1 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.

www.zenhub.com

zenhub.com

Web1 ref

DX: Developer Intelligence Platform

getdx.com

Social1 ref

The engineering metrics used by top dev teams

getdx.com

Social1 ref

Top developer productivity metrics to track - Appfire

appfire.com

Web1 ref

Engineering Productivity Metrics: How to Measure and Improve

monday.com

Web1 ref

DORA Metrics: A Full Guide to Elite Performance Engineering

multitudes.com

Web1 ref

A Holistic Approach to Measuring Developer Productivity

uplevelteam.com

Web1 ref

SPACE Metrics Framework for Developers Explained (2025 ...

linearb.io

Web1 ref

Best DORA Metrics Platform for Enterprise Teams - 2026

faros.ai

Web1 ref

What are DORA metrics? Complete guide to measuring ...

getdx.com

Social1 ref

How to measure developer productivity: A complete guide with ...

getdx.com

Social1 ref

What are some useful engineering metrics you track in your org?

reddit.com

Forum1 ref

Top engineering analytics tools for 2026 - Remote - Weave

workweave.dev

Web1 ref

Unlocking Developer Productivity: Key Metrics and How to ...

zenhub.com

Web1 ref

DORA's software delivery performance metrics

dora.dev

Web1 ref

Competitive Landscape

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

LinearB54 mentions

Jira42 mentions

GitHub34 mentions

Jellyfish34 mentions

Pluralsight Flow21 mentions

Waydev19 mentions

DX19 mentions

GitLab18 mentions

Datadog17 mentions

SonarQube15 mentions

Maestro AI1 mention

Brand Identity

Brand Voice & Style

How AI perceives Maestro AI's communication style and personality

Maestro AI communicates with confident authority backed by data and research, positioning itself as a thought leader challenging industry conventions around engineering metrics. The voice is direct and assertive, often using provocative statements to challenge the status quo ('Vanity Metrics Aren't Intelligence'). While deeply technical and analytical, the tone remains accessible and practical, focusing on real-world problems engineering leaders face. There's an empathetic undertone that acknowledges the frustrations of flying blind with inadequate tools.

Core Tone Traits

Confidently Contrarian

Challenges industry norms and conventional wisdom about engineering metrics with bold, provocative statements

Data-Driven & Analytical

Backs claims with specific metrics, percentages, and concrete examples rather than vague promises

Empathetically Direct

Acknowledges real pain points engineering leaders face while offering clear, actionable solutions

Thought Leadership Authority

Positions as an expert voice shaping the future of engineering intelligence through research and principles

Backing

Investors

Cowboy Ventures

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 28, 2026.