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

CoreStory

Visibility0

Vibe88

Businesses/Software/CoreStory

AI Visibility & Sentiment

CoreStory

CoreStory builds a persistent intelligence layer for software development that helps teams understand complex codebases. The platform uses AI to reverse engineer large codebases into comprehensive technical and business insights, enabling legacy modernization, application maintenance, and developer onboarding.

Active Monitoring

corestory.ai

Software Startups

AI Visibility Score

0/100

Invisible

Sentiment Score

88/100

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 CoreStory today.

CoreStory exists as an 'invisible giant'—the AI models recognize the brand perfectly in isolation but fail to recommend it for a single functional engineering challenge. While competitors like Sourcegraph and SonarQube dominate the narrative for legacy migration and code intelligence, CoreStory’s total absence from problem-solving queries indicates a critical failure to link the brand to the specific technical pain points it was built to solve.

Value Proposition

CoreStory provides persistent code intelligence that compounds over time, giving humans and AI agents a shared, queryable understanding of how software systems actually work—reducing misalignment, rework, and risk across roles.

Overview

Mission

We help companies understand their code to support system modernization, developer onboarding, and application governance in the Intelligence Age.

Products & Services

Persistent code intelligence platformAI-assisted spec generationMCP/API integrations for AI coding agentsReady-to-use playbooks for coding agentsLegacy app modernization and migration tools

Current State

Visibility Landscape

A high-level view of how CoreStory 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	0
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

Sourcegraph

24 mentions

SonarQube

18 mentions

CodeScene

18 mentions

GitHub

18 mentions

Structure101

16 mentions

Cody

14 mentions

Loading visibility matrix...

Analysis

Insights & Recommended Actions

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

Key Findings

Strength

The brand is successfully indexed and holds the #1 ranking for direct 'vibe check' queries across Claude, Gemini, and AI Overviews.

Strength

CoreStory has established foundational brand recognition within the training data of major LLMs, even though it is not yet associated with solution categories.

Gap

Total lack of visibility for 'The Legacy-Modernization Architect' persona, leaving high-intent migration queries entirely to Sourcegraph and Structure101.

Recommended Actions

Align technical messaging with microservice migration and legacy reverse-engineering keywords.

The data shows competitors are winning these high-value enterprise queries while CoreStory, despite being known by the AI, is never linked to these use cases.

Develop a 'Developer Onboarding' playbook specifically optimized for AI Overview extraction.

Developer onboarding is a key pain point for the Efficiency-Focused Engineering Director persona where CoreStory currently has zero visibility.

Create explicit documentation on how CoreStory provides context for AI Coding Agents.

AI Coding Agent Enablement is an emerging category; establishing visibility here now will allow CoreStory to leapfrog legacy incumbents like SonarQube.

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

Legacy System Modernization & Migration(2 queries)

“we need to migrate a massive legacy monolith to microservices, what tools can help us map out the business logic and specs first”

0/4 platforms mentioned

Adjacent

ChatGPT

1.Sourcegraph

2.NDepend

3.JArchitect

4.SonarGraph

5.SonarQube

+44 more

Claude

1.Structurizr

2.Lattix

3.SonarQube

4.Understand

5.SciTools

+19 more

Gemini

1.vFunction

2.CAST Highlight

3.IBM Mono2Micro

4.Structure101

5.NDepend

+13 more

AI Overviews

1.vFunction

2.CAST Imaging

3.Structure101

4.mLogica BLE Intelligence

5.Kodesage

+4 more

“best software for reverse engineering old codebases to understand how they work, looking for specific recommendations”

0/4 platforms mentioned

Core

The Legacy-Modernization Architect · Enterprise Architect

ChatGPT

1.CAST AIP

2.Sourcegraph

3.Soot

4.Doop

5.OPAL

+27 more

Claude

1.Java

2.Structurizr

3.CodeScene

4.SonarQube

5.Lattix

+7 more

Gemini

1.Structure101

2.Neo4j

3.Maven

4.Gradle

5.vFunction

+6 more

AI Overviews

1.Ghidra

2.IDA Pro

3.Hex-Rays

4.Binary Ninja

5.Understand by SciTools

+6 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.

martinfowler.com

Web1 ref

Tools to Make Transforming Monoliths to Microservices Easier

vfunction.com

Web1 ref

The 7 Best Legacy Modernization Tools For Digital ...

kodesage.ai

Web1 ref

Revolutionizing Legacy Systems with Business Logic Extraction

mlogica.com

Web1 ref

Modernize Legacy Code with KaiBRE - Datamatics

datamatics.com

Web1 ref

Monolith to microservices: step-by-step migration strategies

circleci.com

Web1 ref

How to break a Monolith into Microservices - Martin Fowler

martinfowler.com

Web1 ref

Using AI for Business Rule Extraction from Legacy Systems

argondigital.com

Web1 ref

Extracting microservices from a monolithic ASP.NET Web ...

aws.amazon.com

Web1 ref

Breaking Down Legacy Monoliths into Microservices: A Step ...

medium.com

Blog1 ref

10 tips for migrating from monolith to microservices - Dynatrace

dynatrace.com

Web1 ref

13 MCP servers every developer should know - Composio

composio.dev

Web1 ref

zilliztech/claude-context: Code search MCP for ... - GitHub

github.com

Code1 ref

Stop AI Agent Hallucinations: 4 Essential Techniques

dev.to

Web1 ref

Prevent AI Agent Hallucinations in Production Environments

stack-ai.com

Web1 ref

Competitive Landscape

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

Sourcegraph24 mentions

SonarQube18 mentions

CodeScene18 mentions

GitHub18 mentions

Structure10116 mentions

Cody14 mentions

Lattix13 mentions

Jaeger12 mentions

LlamaIndex12 mentions

Cursor12 mentions

CoreStory0 mentions

Brand Identity

Brand Voice & Style

How AI perceives CoreStory's communication style and personality

CoreStory communicates with technical authority and clarity, speaking directly to experienced software professionals who understand the pain of working with complex codebases. The tone is confident and forward-thinking, positioning the company at the forefront of AI-powered development tools. While deeply technical, the messaging remains accessible and outcome-focused, emphasizing practical benefits like reduced risk, faster delivery, and shared understanding. The brand avoids hype in favor of substantive claims backed by clear use cases.

Core Tone Traits

Technically Authoritative

Speaks with deep expertise about software architecture, code intelligence, and AI agents without oversimplifying

Outcome-Focused

Consistently ties features to tangible business and engineering outcomes like reduced risk and faster delivery

Forward-Thinking

Positions at the cutting edge of AI and software development while remaining grounded in real enterprise challenges

Clear and Direct

Uses precise language and avoids jargon-heavy marketing speak, respecting the intelligence of technical audiences

Backing

Investors

Homebrew

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 2, 2026.