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

Mendral

Visibility11

Vibe89

Businesses/Developer Tools/Mendral

AI Visibility & Sentiment

Mendral

Mendral is a Y Combinator-backed AI DevOps platform that automatically investigates CI failures, identifies root causes, and opens pull requests with fixes. Built by the founding team behind Docker and Dagger, it transforms how engineering teams handle flaky tests, slow pipelines, and broken builds.

Active Monitoring

mendral.com

Developer Tools YC25-26

AI Visibility Score

11/100

Invisible

Sentiment Score

89/100

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

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Mendral today.

Mendral is effectively invisible in the AI-driven discovery layer for automated CI/CD troubleshooting, leaving a vacuum that incumbents like GitHub Actions and Datadog are aggressively filling. While the brand commands a dominant 71% mention rate among Efficiency-Driven Platform Leads, it fails to appear in 100% of queries related to autonomous failure resolution and engineering leadership strategy.

Value Proposition

Mendral eliminates the manual toil of CI debugging by autonomously investigating failures, identifying root causes across billions of log lines, and shipping fixes—turning hours of engineer time into minutes of automated resolution.

Overview

Mission

To make CI problems fix themselves, freeing engineering teams from the repetitive, predictable failures that slow down software delivery.

Products & Services

AI-powered CI failure investigationAutomated pull request generation for fixesFlaky test detection and quarantineCI log analysis and root cause identificationGitHub App integration for seamless deployment

Current State

Visibility Landscape

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

	ChatGPT	Claude	Gemini
Reputation Brand recognition & direct queries	0	12	39
Core Topics Product/service category queries	18	21	18
Growth Areas Adjacent, aspirational & visionary	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

GitHub Actions

30 mentions

Datadog

20 mentions

Buildkite

20 mentions

CircleCI

19 mentions

Docker

15 mentions

Kubernetes

14 mentions

Loading visibility matrix...

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Exceptional brand authority on Gemini, securing the #1 position for brand-specific vibe checks and general company overview queries.

Strength

Strong resonance with the 'Efficiency-Driven Platform Lead' persona, achieving a 71% mention rate within this specific technical segment.

Strength

Positive sentiment across all mentions on ChatGPT, Claude, and Gemini, indicating that when the brand is surfaced, the context is consistently favorable.

Recommended Actions

Optimize technical documentation and blogs for AI Overviews (SGE) by utilizing structured schema and clear, problem-solution header formats.

Mendral currently has 0% visibility in AI Overviews, which is the primary discovery engine for developers seeking immediate answers to CI/CD pain points.

Develop targeted landing pages and case studies specifically addressing 'Autonomous CI Failure Resolution' and 'Flaky Test Management'.

The brand is currently missing from every query related to these core value propositions, allowing competitors like Datadog to capture 100% of the share of voice.

Create high-level strategic content aimed at 'Engineering Directors' focusing on the ROI of dev-tooling consolidation.

With 0% visibility for the Engineering Director persona, Mendral is being excluded from the procurement-level research phase conducted via LLMs.

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

CI/CD Pipeline Optimization And Scaling(2 queries)

“our github actions costs are spiraling and builds are taking forever, how do large teams optimize this”

0/4 platforms mentioned

Adjacent

ChatGPT

1.GitHub

2.Datadog

3.Prometheus

4.Docker

5.Docker Buildx

+18 more

Claude

1.Docker

2.NX

3.Turborepo

4.Buildkite

5.CircleCI

+2 more

Gemini

1.GitHub Actions

2.Actions Runner Controller

3.Kubernetes

4.AWS

5.GCP

+21 more

AI Overviews

1.GitHub Actions

2.Kubernetes

3.WarpBuild

4.Blacksmith

5.Blacksmith.sh

+6 more

“how to manage devops for 200+ engineers without hiring a massive platform team”

0/4 platforms mentioned

Aspirational

The Strategic Engineering Director · Director of Engineering

ChatGPT

1.GitHub Enterprise

2.GitHub Actions

3.GitLab SaaS

4.Buildkite

5.Argo CD

+45 more

Claude

1.Backstage

2.Spotify

3.Port

4.HashiCorp Terraform Cloud

5.ArgoCD

+9 more

Gemini

1.Jira

2.S3

3.Kubernetes

4.Port

5.Backstage

+14 more

AI Overviews

1.Qovery

2.CircleCI

3.Kubernetes

4.Backstage

5.Slack

+10 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.

Blacksmith.sh

blacksmith.sh

Web1 ref

namespace.so

Web1 ref

OneUptime

oneuptime.com

Web1 ref

Reducing GitHub Actions Costs - WarpBuild Blog

warpbuild.com

Web1 ref

Five tips for faster GitHub Actions - Namespace Labs

namespace.so

Web1 ref

How to Optimize GitHub Actions Costs

oneuptime.com

Web1 ref

GitHub Actions Price Change - WarpBuild Blog

warpbuild.com

Web1 ref

Speed up GitHub Actions with smart caching. #GitHub #CI ...

youtube.com

Video1 ref

GitHub Actions are slow and expensive, what are the alternatives?

runs-on.com

Web1 ref

How to Optimize GitHub Actions Performance

oneuptime.com

Web1 ref

How to reduce spend in GitHub Actions - Blacksmith

blacksmith.sh

Web1 ref

Pipeline Failure Remediation - CodeRabbit Docs

docs.coderabbit.ai

Web1 ref

Are there AI code review tools that comment on failing CI logs?

graphite.com

Web1 ref

Quickly resolve broken CI/CD pipelines with AI - GitLab

about.gitlab.com

Web1 ref

AI-Driven CI: Exploring Self-healing Pipelines - Semaphore

semaphore.io

Web1 ref

Competitive Landscape

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

GitHub Actions30 mentions

Datadog20 mentions

Buildkite20 mentions

CircleCI19 mentions

Docker15 mentions

Kubernetes14 mentions

Datadog CI Visibility14 mentions

nx11 mentions

GitHub10 mentions

Honeycomb10 mentions

Mendral5 mentions

Brand Identity

Brand Voice & Style

How AI perceives Mendral's communication style and personality

Mendral communicates with confident technical authority, speaking engineer-to-engineer with deep domain expertise. The voice is direct and no-nonsense, cutting through marketing fluff to address real pain points with specific data and concrete examples. There's an understated confidence that comes from the founders' Docker pedigree, balanced with approachability and a dry wit. The brand favors showing over telling, using real metrics and technical details to build credibility.

Core Tone Traits

Technically Authoritative

Speaks with deep CI/CD expertise, using specific metrics and technical details that resonate with engineers

Direct & No-Nonsense

Gets straight to the point without marketing fluff, respecting the reader's time and intelligence

Confidently Understated

Lets results speak for themselves, backed by Docker/Dagger pedigree without being boastful

Engineer-to-Engineer

Writes like a peer sharing hard-won insights, not a vendor pitching a product

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.

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