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

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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

AI Perception

Summary

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

Agent Breakdown

AI Platforms

How often do different AI platforms reference CoreStory?

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Conversation Analysis

Topics

What conversations is CoreStory included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend CoreStory to, and when?

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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

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

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

AI Coding Agent Enablement(1 query)

“how to give ai coding agents more context about a huge codebase so they stop hallucinating, suggest some mcp or api tools”

0/4 platforms mentioned

ChatGPT

1.Cohere

2.Hugging Face

3.Pinecone

4.Qdrant

5.Weaviate

+28 more

Claude

1.Sourcegraph

2.Tree-sitter

3.GitHub

4.Tabnine

5.Mintlify

+5 more

Gemini

1.GitHub

2.Postgres

3.Google Drive

4.Slack

5.Greptile

+10 more

AI Overviews

1.Zilliz

2.Octocode

3.Memory Bank

4.Context7

5.GitHub

+3 more

Developer Onboarding & Knowledge Management(1 query)

“how to speed up onboarding for new devs on a really complex codebase without bothering the senior engineers constantly”

0/3 platforms mentioned

Claude

1.Confluence

2.Notion

3.GitBook

4.OpenAPI

5.Swagger

+3 more

Gemini

1.Dev Containers

2.VS Code

3.Docker

4.GitHub Codespaces

5.Gitpod

+20 more

AI Overviews

1.Sourcegraph Cody

2.Augment Code

3.CodeSee

4.Docker

5.Dev Containers

+5 more

Code Intelligence Category Evaluation(1 query)

“best code intelligence and analysis platforms for enterprise teams right now, what are the top options”

0/4 platforms mentioned

ChatGPT

1.Sourcegraph

2.Sourcegraph Cody

3.GitHub

4.Copilot Enterprise

5.CodeQL

+33 more

Claude

1.GitHub Advanced Security

2.GitHub

3.CodeQL

4.GitLab Ultimate

5.JetBrains Space

+12 more

Gemini

1.GitHub Copilot Enterprise

2.GitHub

3.Tabnine

4.Amazon Q Developer

5.CodeWhisperer

+22 more

AI Overviews

1.Faros AI

2.Cursor

3.Windsurf

4.Codeium

5.Claude Code

+10 more

Analysis

Key Insights

What AI visibility analysis reveals about this brand

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.

Gap

Zero presence in the 'AI Coding Agent Enablement' category, a high-growth niche where developers are actively seeking better codebase context.

Gap

Failure to appear in developer onboarding and knowledge management searches, where competitors like Cody and CodeScene currently own the market share.

Opportunity

Pivot content strategy to bridge the gap between brand identity and the 'AI coding agent context' category to capture early-adopter staff engineers.

Opportunity

Target 'Legacy System Modernization' queries by creating deep-funnel technical documentation that mirrors the specific terminology used by enterprise architects.

Technical Health

Site Health for AI Visibility

How well CoreStory's website is optimized for AI agent discovery and comprehension.

81/100

13 passed 4 warnings 3 issues

Audited 3/2/2026

Crawlability96

Can AI bots find your pages?

Technical90

SSL, mobile, doctype basics

On-Page SEO64

Titles, descriptions, headings

Content Quality60

Word count, depth, freshness

Schema Markup85

Structured data for AI comprehension

Social & OG82

Open Graph, Twitter cards

AI Readability100

How well AI can parse your content

Critical Issues

Page has no meta description

Add a <meta name="description"> tag summarizing the page (150-160 characters).

Page has no H1 heading

Add a single H1 tag as the main page heading.

Content is too thin

Expand your content to at least 300-500 words with valuable information.

Warnings

4 render-blocking resources are slowing initial render

Defer non-critical JS with async/defer. Inline critical CSS. Move stylesheets to load asynchronously.

Title is too short (9 characters)

Expand the title to 50-60 characters with descriptive keywords.

Few headings on page

Add more H2 and H3 headings to organize content into sections.

Few internal links on this page

Add more internal links to related pages on your site.

Missing Open Graph tags for social sharing

Add og:title, og:description, and og:image meta tags.

Want a full technical audit with AI-specific recommendations?

Run a free visibility scan

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

Competitive Landscape

Related Ecosystem

Related products and services that AI mentions in conversations 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

Source Intelligence

Citations

Sources that AI assistants cite. Getting featured here improves visibility.

martinfowler.com

http://martinfowler.com/

Referenced in 1 query

Review

Tools to Make Transforming Monoliths to Microservices Easier

https://vfunction.com/blog/tools-to-make-transforming-monoliths-into-microservices-easier/

Referenced in 1 query

Review

The 7 Best Legacy Modernization Tools For Digital ...

https://kodesage.ai/blog/legacy-modernization-tools

Referenced in 2 queries

Review

Revolutionizing Legacy Systems with Business Logic Extraction

https://www.mlogica.com/resources/blogs/revolutionizing-legacy-systems-with-business-logic-extraction

Referenced in 1 query

Review

Modernize Legacy Code with KaiBRE - Datamatics

https://www.datamatics.com/resources/case-studies/demos/modernize-legacy-code-with-kaibre

Referenced in 1 query

Review

Monolith to microservices: step-by-step migration strategies

https://circleci.com/blog/monolith-to-microservices-migration-strategies/

Referenced in 1 query

Review

How to break a Monolith into Microservices - Martin Fowler

https://martinfowler.com/articles/break-monolith-into-microservices.html

Referenced in 1 query

Review

Using AI for Business Rule Extraction from Legacy Systems

https://argondigital.com/blog/general/using-ai-for-business-rule-extraction-from-legacy-systems/

Referenced in 1 query

Review

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

https://aws.amazon.com/blogs/modernizing-with-aws/extracting-microservices-from-asp-net-web-forms-app/

Referenced in 1 query

Partner

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

https://medium.com/@nemagan/breaking-down-legacy-monoliths-into-microservices-a-step-by-step-guide-5d5f01d41bd0

Referenced in 1 query

Review

10 tips for migrating from monolith to microservices - Dynatrace

https://www.dynatrace.com/news/blog/10-tips-for-migrating-from-monolith-to-microservices/

Referenced in 1 query

Review

13 MCP servers every developer should know - Composio

https://composio.dev/blog/13-mcp-servers-every-developer-should-know

Referenced in 1 query

Review

Content Engineering

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.

Impact: High

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.

Impact: High

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.

Impact: Medium

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