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

Corelayer

Visibility6

Vibe75

Businesses/Software/Corelayer

AI Visibility & Sentiment

Corelayer

Corelayer is an AI-powered on-call engineering platform designed for financial services and fintech companies. It continuously monitors logs, data, and infrastructure for issues, using AI agents to automatically debug production problems and suggest fixes within minutes.

Active Monitoring

corelayer.com

Software YC25-26

AI Visibility Score

6/100

Invisible

Sentiment Score

75/100

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

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Corelayer today.

Corelayer currently operates as a ghost in the AI recommendation landscape, failing to surface in high-stakes fintech and security queries where competitors like Datadog and PagerDuty dominate. While the brand has established a promising foothold with 'Burned-Out SRE' personas on Gemini and Claude, it remains completely invisible to the strategic decision-makers who control enterprise budgets.

Value Proposition

Reduce production support time by up to 70% with AI agents that automatically detect issues, identify root causes, and suggest fixes—all while maintaining enterprise-grade security with SOC 2 compliance and confidential compute.

Overview

Mission

To free engineers from the burden of production support so they can spend more time building valuable data products.

Products & Services

AI-powered production issue detection and monitoringAutomated root cause analysisAI-generated fix suggestions with PR creationMulti-platform integrations (Snowflake, AWS, GCP, Datadog, etc.)Confidential compute for sensitive data environments

Current State

Visibility Landscape

A high-level view of how Corelayer 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	9	6	12	0
Core Topics Product/service category queries	—	—	—	—
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

Datadog

30 mentions

PagerDuty

18 mentions

Splunk

16 mentions

Dynatrace

16 mentions

Elasticsearch

12 mentions

Prometheus

12 mentions

Loading visibility matrix...

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

Achieved a 27% mention rate with the 'Burned-Out Senior SRE Lead' persona, suggesting the technical narrative resonates with practitioner-focused AI models.

Strength

Maintains a strong positive sentiment and a top-tier rank (#1) on Claude and AI Overviews for brand-specific 'vibe check' queries.

Strength

Surfaces for 'Automating Production Incident Response' on Gemini and Claude, showing foundational indexing for core technical capabilities.

Recommended Actions

Develop and index 'Fintech-Specific' observability case studies focusing on regulatory compliance.

The brand currently has a 0% mention rate for fintech and secure monitoring queries, preventing any engagement with the CTO persona.

Optimize technical blog content and documentation for 'Root Cause Analysis' to improve Gemini ranking from #27 to top 10.

Gemini is already showing awareness of the brand (17% mention rate), making it the most viable platform for immediate visibility gains.

Refresh the brand's 'AI capabilities' narrative to move beyond basic alerting into 'AI agents' for incident response.

Competitors like PagerDuty and Davis AI are winning the 'AI Agent' narrative, which is the current high-growth search trend for SREs.

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 Production Incident Response(3 queries)

“how can i use AI to automate root cause analysis for my production logs”

0/4 platforms mentioned

Core

ChatGPT

1.OpenTelemetry

2.Fluentd

3.Fluent Bit

4.Filebeat

5.Logstash

+59 more

Claude

1.ELK Stack

2.Elasticsearch

3.Logstash

4.Kibana

5.Python

+11 more

Gemini

1.Datadog

2.Watchdog

3.Dynatrace

4.Davis AI

5.ScienceLogic

+19 more

AI Overviews

1.ScienceLogic

2.LogicMonitor

3.Datadog Watchdog

4.Dynatrace Davis

5.New Relic Applied Intelligence

+6 more

“help me find tools that don't just alert but actually suggest code fixes and create PRs for infra issues”

0/3 platforms mentioned

Core

The Strategic Fintech CTO · Chief Technology Officer

Claude

1.GitHub Copilot

2.CodeQL

3.GitHub Enterprise

4.Datadog

5.Snyk

+10 more

Gemini

1.Firefly

2.Dazz

3.Snyk

4.Snyk Infrastructure as Code

5.Kubiya

+2 more

AI Overviews

1.Gomboc

2.Terraform

3.Pulumi

4.CloudFormation

5.Aikido Security

+8 more

“i'm tired of manual on-call, what are the best AI agents for production issue detection right now”

0/4 platforms mentioned

Core

ChatGPT

1.Dynatrace

2.Davis AI

3.BigPanda

4.Moogsoft

5.Datadog

+16 more

Claude

1.PagerDuty

2.EventIntelligence

3.Datadog

4.Moogsoft Enterprise

5.Rundeck

+2 more

Gemini

1.Shoreline.io

2.AWS

3.Kubernetes

4.PagerDuty Savvy

5.PagerDuty

+9 more

AI Overviews

1.incident.io

2.Rootly

3.Jira

4.Xurrent IMR

5.Sera AI

+12 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.

How AI Improves Root Cause Analysis Automation - Latenode

latenode.com

Web1 ref

How to Analyze Logs Using AI - LogicMonitor

logicmonitor.com

Web1 ref

Manufacturing Root Cause Analysis with Causal AI - Databricks

databricks.com

Web1 ref

How AI Is Transforming Root Cause Analysis in Software and ...

reliability.com

Web1 ref

AI-Powered Root Cause in ITSM | EasyVista

easyvista.com

Web1 ref

AI in Root Cause Analysis: How Emerging Tools Are ...

reliability.com

Web1 ref

Dynatrace AI-driven root cause and impact analysis

dynatrace.com

Web1 ref

Top 8 AI-Powered Anomaly Detection Tools for Time Series Data

anodot.com

Web1 ref

How AI Root Cause Analysis Improves Maintenance Decisions

llumin.com

Web1 ref

Automated Root Cause Analysis | ScienceLogic

sciencelogic.com

Web1 ref

The Role of AI in Root Cause Analysis (RCA) - testRigor

testrigor.com

Web1 ref

Data Observability Tools: Top 10 Platforms to Evaluate in 2026

ovaledge.com

Web1 ref

Curating Security Data for the Financial Services Industry

observo.ai

Web1 ref

Top 14 Data Observability Tools in 2026: Key Features - Atlan

atlan.com

Web1 ref

Best Data Security Platforms Reviews 2026 | Gartner Peer Insights

gartner.com

Web1 ref

Competitive Landscape

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

Datadog30 mentions

PagerDuty18 mentions

Splunk16 mentions

Dynatrace16 mentions

Elasticsearch12 mentions

Prometheus12 mentions

Davis AI12 mentions

New Relic11 mentions

Snyk11 mentions

Grafana10 mentions

Corelayer4 mentions

Brand Identity

Brand Voice & Style

How AI perceives Corelayer's communication style and personality

Corelayer communicates with technical precision and confidence, speaking directly to engineers who understand the pain of production debugging. The tone is professional yet approachable, avoiding corporate jargon while demonstrating deep domain expertise. They lead with concrete value propositions and quantifiable outcomes, backed by Y Combinator credibility. The voice balances technical authority with empathy for the engineer's daily struggles, making complex AI capabilities feel accessible and practical.

Core Tone Traits

Technical & Precise

Uses specific engineering terminology and concrete metrics without oversimplifying for technical audiences

Confident & Direct

Makes clear value claims backed by evidence, avoiding hedging language

Empathetic to Engineers

Acknowledges the real pain points of production support and on-call duties

Security-Conscious

Emphasizes compliance, data protection, and enterprise-grade security as core values

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.